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Diagnosis of HIV/AIDS
Diagnosis of HIV/AIDS
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Diagnosis of HIV/AIDS
Randall L. Tobias, former U.S. Global AIDS Coordinator, being publicly tested for HIV in Ethiopia in an effort to reduce the stigma of being tested[1]

HIV tests are used to detect the presence of the human immunodeficiency virus (HIV), the virus that causes HIV/AIDS, in serum, saliva, or urine. Such tests may detect antibodies, antigens, or RNA.

AIDS diagnosis

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AIDS is diagnosed separately from HIV.

Terminology

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The eclipse period is a variable period starting from HIV exposure in which no existing test can detect HIV. The median duration of the eclipse period in one study was 11.5 days. The window period is the time between HIV exposure and when an antibody or antigen test can detect HIV. The median window period for antibody/antigen testing is 18 days. Nucleic acid testing (NAT) further reduces this period to 11.5 days.[2]

Performance of medical tests is often described in terms of:

  • Sensitivity: The percentage of the results that will be positive when HIV is present
  • Specificity: The percentage of the results that will be negative when HIV is not present.

All diagnostic tests have limitations, and sometimes their use may produce erroneous or questionable results.

  • False positive: The test incorrectly indicates that HIV is present in a non-infected person.
  • False negative: The test incorrectly indicates that HIV is absent in an infected person.

Nonspecific reactions, hypergammaglobulinemia, or the presence of antibodies directed to other infectious agents that may be antigenically similar to HIV can produce false positive results. Autoimmune diseases, such as systemic lupus erythematosus, have also rarely caused false positive results. Most false negative results are due to the window period.[citation needed]

Principles

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Screening donor blood and cellular products

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Tests selected to screen donor blood and tissue must provide a high degree of confidence that HIV will be detected if present (that is, a high sensitivity is required). A combination of antibody, antigen and nucleic acid tests are used by blood banks in Western countries. The World Health Organization estimated that, as of 2000, inadequate blood screening had resulted in 1 million new HIV infections worldwide.[citation needed]

In the US, the Food and Drug Administration requires that all donated blood be screened for several infectious diseases, including HIV-1 and HIV-2, using a combination of antibody testing (EIA) and more expeditious nucleic acid testing (NAT).[3][4] These diagnostic tests are combined with careful donor selection. As of 2001, the risk of transfusion-acquired HIV in the US was approximately one in 2.5 million for each transfusion.[5]

Diagnosis of HIV infection

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Tests used for the diagnosis of HIV infection in a particular person require a high degree of both sensitivity and specificity. In the United States, this is achieved using an algorithm combining two tests for HIV antibodies. If antibodies are detected by an initial test based on the ELISA method, then a second test using the western blot procedure determines the size of the antigens in the test kit binding to the antibodies. The combination of these two methods is highly accurate [citation needed]

Human rights

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The UNAIDS/WHO policy statement on HIV Testing states that conditions under which people undergo HIV testing must be anchored in a human rights approach that pays due respect to ethical principles.[6] According to these principles, the conduct of HIV testing of individuals must be[citation needed]

Confidentiality

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Considerable controversy exists over the ethical obligations of health care providers to inform the sexual partners of individuals infected with HIV that they are at risk of contracting the virus.[7] Some legal jurisdictions permit such disclosure, while others do not. More state funded testing sites are now using confidential forms of testing. This allows for monitoring of infected individuals easily, compared to anonymous testing that has a number attached to the positive test results. Controversy exists over privacy issues.[citation needed]

In developing countries, home-based HIV testing and counseling (HBHTC) is an emerging approach for addressing confidentiality issues. HBHTC allows individuals, couples, and families to learn their HIV status in the convenience and privacy of their home environment. Rapid HIV tests are most often used, so results are available for the client between 15 and 30 minutes. Furthermore, when an HIV-positive result is communicated, the HTC provider can offer appropriate linkages for prevention, care, and treatment.[8]

Anonymous testing

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Anonymous testing may be available for people who wish to take an HIV test without giving their name. Instead of providing a name, the person undergoing the test receives a number and then presents that number to obtain the results of the test, which do not contain the person's name.[9]

Routine testing recommendation

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In the United States, one emerging standard of care is to screen all patients for HIV in all health care settings.[10] In 2006, the Centers for Disease Control (CDC) announced an initiative for voluntary, routine testing of all Americans aged 13–64 during health care encounters. An estimated 25% of infected individuals were unaware of their status; if successful, this effort was expected to reduce new infections by 30% per year.[11] The CDC recommends elimination of requirements for written consent or extensive pre-test counseling as barriers to widespread routine testing.[11] In 2006, the National Association of Community Health Centers implemented a model for offering free, rapid HIV testing to all patients between the ages of 13 and 64 during routine primary medical and dental care visits. The program increased testing rates, with 66% of the 17,237 patients involved in the study agreeing to testing (56% were tested for the first time).[12] In September 2010, New York became the first state to require that hospitals and primary care providers offer an HIV test to all patients between the ages of 13 and 64 years. An evaluation of the law's impact found that it increased testing significantly throughout the state.[13]

Antibody tests

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HIV antibody tests are specifically designed for routine diagnostic testing of adults; these tests are inexpensive and extremely accurate.[citation needed]

Window period

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Antibody tests may give false negative (no antibodies were detected despite the presence of HIV) results during the window period, hence an interval of three weeks to six months between the time of HIV exposure and the production of measurable antibodies to HIV seroconversion is implemented. Most people develop detectable antibodies approximately 18 to 30 days after exposure, although some do seroconvert later. The vast majority of people (99%) have detectable antibodies by two months after HIV exposure.[2]

During the window period, an infected person can transmit HIV to others although their HIV infection may not be detectable with an antibody test. Antiretroviral therapy during the window period can delay the formation of antibodies and extend the window period beyond 12 months.[14] This was not the case with patients that underwent treatment with post-exposure prophylaxis (PEP). Those patients must take ELISA tests at various intervals after the usual 28-day course of treatment, sometimes extending outside of the conservative window period of 6 months.

ELISA

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The enzyme-linked immunosorbent assay (ELISA), or enzyme immunoassay (EIA), was the first screening test commonly employed for HIV. It has a high sensitivity.

In an ELISA test, a person's serum is diluted 400-fold and applied to a plate to which HIV antigens have been attached. If antibodies to HIV are present in the serum, they may bind to these HIV antigens. The plate is then washed to remove all other components of the serum. A specially prepared "secondary antibody" – an antibody that binds to human antibodies – is then applied to the plate, followed by another wash. This secondary antibody is chemically linked in advance to an enzyme. Thus the plate will contain enzyme in proportion to the amount of secondary antibody bound to the plate. A substrate for the enzyme is applied, and catalysis by the enzyme leads to a change in color or fluorescence. ELISA results are reported as a number; the most controversial aspect of this test is determining the "cut-off" point between a positive and negative result.[citation needed]

ELISA dongle

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Researchers from Columbia University have produced an ELISA test dongle capable of testing for HIV and syphilis. It is compatible to any smartphone or computer without additional support or battery power, and takes some fifteen minutes to analyse a drop of blood. The units cost approximately $34 each to manufacture.[15]

Western blot

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Western blot test results. The first two strips are a negative and a positive control, respectively. The others are actual tests.

Like the ELISA procedure, the western blot is an antibody detection test. However, unlike the ELISA method, the viral proteins are separated first and immobilized. In subsequent steps, the binding of serum antibodies to specific HIV proteins is visualized.[citation needed]

Specifically, cells that may be HIV-infected are opened and the proteins within are placed into a slab of gel, to which an electric current is applied. Different proteins will move with different speeds in this field, depending on their size, while their electrical charge is leveled by a surfactant called sodium lauryl sulfate. Some commercially prepared Western blot test kits contain the HIV proteins already on a cellulose acetate strip. Once the proteins are well-separated, they are transferred to a membrane and the procedure continues similar to an ELISA: the person's diluted serum is applied to the membrane and antibodies in the serum may attach to some of the HIV proteins. Antibodies that do not attach are washed away, and enzyme-linked antibodies with the capability to attach to the person's antibodies determine to which HIV proteins the person has antibodies.[citation needed]

There are no universal criteria for interpreting the western blot test: The number of viral bands that must be present may vary. If no viral bands are detected, the result is negative. If at least one viral band for each of the GAG, POL, and ENV gene-product groups are present, the result is positive. The three-gene-product approach to western blot interpretation has not been adopted for public health or clinical practice. Tests in which less than the required number of viral bands are detected are reported as indeterminate: a person who has an indeterminate result should be retested, as later tests may be more conclusive. Almost all HIV-infected persons with indeterminate western blot results will develop a positive result when tested in one month; persistently indeterminate results over a period of six months suggests the results are not due to HIV infection. In a generally healthy low-risk population, indeterminate results on western blot occur on the order of 1 in 5,000 patients.[16] However, for those individuals who have had high-risk exposures to individuals where HIV-2 is most prevalent, Western Africa, an inconclusive western blot test may prove infection with HIV-2.[17]

The HIV proteins used in western blotting can be produced by recombinant DNA in a technique called recombinant immunoblot assay (RIBA).[18]

Rapid or point-of-care tests

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A woman demonstrates the use of the OraQuick rapid HIV test.
Blood being taken for HIV rapid test

Rapid antibody tests are qualitative immunoassays intended for use in point-of-care testing to aid in the diagnosis of HIV infection. These tests should be used in conjunction with the clinical status, history, and risk factors of the person being tested. The positive predictive value of Rapid Antibody Tests in low-risk populations has not been evaluated. These tests should be used in appropriate multi-test algorithms designed for statistical validation of rapid HIV test results.[citation needed]

If no antibodies to HIV are detected, this does not mean the person has not been infected with HIV. It may take several months after HIV infection for the antibody response to reach detectable levels, during which time rapid testing for antibodies to HIV will not be indicative of true infection status. For most people, HIV antibodies reach a detectable level after two to six weeks.[citation needed]

Although these tests have high specificity, false positives do occur. Any positive test result should be confirmed by a lab using the western blot.[citation needed]

Interpreting antibody tests

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ELISA testing alone cannot be used to diagnose HIV, even if the test suggests a high probability that antibody to HIV-1 is present. In the United States, such ELISA results are not reported as "positive" unless confirmed by a western blot.[citation needed]

The ELISA antibody tests were developed to provide a high level of confidence that donated blood was not infected with HIV. It is therefore not possible to conclude that blood rejected for transfusion because of a positive ELISA antibody test is in fact infected with HIV. Sometimes, retesting the donor in several months will produce a negative ELISA antibody test. This is why a confirmatory western blot is always used before reporting a "positive" HIV test result.[citation needed]

Rare false positive results due to factors unrelated to HIV exposure are found more often with the ELISA test than with the western blot. False positives may be associated with medical conditions such as recent acute illnesses and allergies. A rash of false positive tests in the fall of 1991 was initially blamed on the influenza vaccines used during that flu season, but further investigation traced the cross-reactivity to several relatively non-specific test kits.[19] A false positive result does not indicate a condition of significant risk to health. When the ELISA test is combined with Western Blot, the rate of false positives is extremely low, and diagnostic accuracy is very high (see below).

HIV antibody tests are highly sensitive, meaning they react preferentially with HIV antibodies, but not all positive or inconclusive HIV ELISA tests mean the person is infected by HIV. Risk history, and clinical judgement should be included in the assessment, and a confirmation test (western blot) should be administered. An individual with an inconclusive test should be re-tested at a later date.[citation needed]

Accuracy of HIV testing

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Modern HIV testing is highly accurate. The evidence regarding the risks and benefits of HIV screening was reviewed in July 2005 by the U.S. Preventive Services Task Force.[20] The authors concluded that:

...the use of repeatedly reactive enzyme immunoassay followed by confirmatory western blot or immunofluorescent assay remains the standard method for diagnosing HIV-1 infection. A large study of HIV testing in 752 U.S. laboratories reported a sensitivity of 99.7% and specificity of 98.5% for enzyme immunoassay, and studies in U.S. blood donors reported specificities of 99.8% and greater than 99.99%. With confirmatory Western blot, the chance of a false-positive identification in a low-prevalence setting is about 1 in 250 000 (95% CI, 1 in 173 000 to 1 in 379 000).

The specificity rate given here for the inexpensive enzyme immunoassay screening tests indicates that, in 1,000 HIV test results of healthy individuals, about 15 of these results will be a false positive. Confirming the test result (i.e., by repeating the test, if this option is available) could reduce the ultimate likelihood of a false positive to about 1 result in 250,000 tests given. The sensitivity rating, likewise, indicates that, in 1,000 test results of HIV infected people, 3 will actually be a false negative result. However, based upon the HIV prevalence rates at most testing centers within the United States, the negative predictive value of these tests is extremely high, meaning that a negative test result will be correct more than 9,997 times in 10,000 (99.97% of the time). The very high negative predictive value of these tests is why the CDC recommends that a negative test result be considered conclusive evidence that an individual does not have HIV.[citation needed]

Of course, the actual numbers vary depending on the testing population. This is because interpreting of the results of any medical test (assuming no test is 100% accurate) depends upon the initial degree of belief, or the prior probability that an individual has, or does not have a disease. Generally the prior probability is estimated using the prevalence of a disease within a population or at a given testing location. The positive predictive value and negative predictive value of all tests, including HIV tests, take into account the prior probability of having a disease along with the accuracy of the testing method to determine a new degree of belief that an individual has or does not have a disease (also known as the posterior probability). The chance that a positive test accurately indicates an HIV infection increases as the prevalence or rate of HIV infection increases in the population. Conversely, the negative predictive value will decrease as the HIV prevalence rises. Thus a positive test in a high-risk population, such as people who frequently engage in unprotected anal intercourse with unknown partners, is more likely to correctly represent HIV infection than a positive test in a very low-risk population, such as unpaid blood donors.

Many studies have confirmed the accuracy of current methods of HIV testing in the United States, reporting false-positive rates of 0.0004 to 0.0007 and false-negative rates of 0.003 in the general population.[21][22][23][24][25][26][27][28][excessive citations]

Antigen tests

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The p24 antigen test detects the presence of the p24 protein of HIV (also known as CA), the capsid protein of the virus. Monoclonal antibodies specific to the p24 protein are mixed with the person's blood. Any p24 protein in the person's blood will stick to the monoclonal antibody and an enzyme-linked antibody to the monoclonal antibodies to p24 causes a color change if p24 was present in the sample.[citation needed]

In blood donation screening, this test is no longer used routinely in the US[29] or the EU[30] since the objective was to reduce the risk of false negatives in the window period. Nucleic acid testing (NAT) is more effective for this purpose, and p24 antigen testing is no longer indicated if a NAT test is performed.[citation needed]

In general diagnostics, p24 antigen tests are used for early detection of HIV, as p24 antigen rises soon after infection relative to antibodies, and the test is often used in combination with an antibody test to effectively cover a longer portion of the window period. It is less useful as a standalone test, as it has low sensitivity and only works during the early time period after infection. The presence of p24 antigen diminishes as the body increases production of antibodies to the p24 protein, making p24 more difficult to detect later.

Antigen/antibody combination tests

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A combination, or 4th generation assay, is designed to detect both the p24 antigen and HIV antibodies in a single test. Combination tests can detect HIV as early as 2–6 weeks after infection,[31] and are recommended in laboratory testing.[32]

Nucleic acid-based tests (NAT)

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Nucleic-acid-based tests amplify and detect one or more of several target sequences located in specific HIV genes, such as HIV-I GAG, HIV-II GAG, HIV-env, or the HIV-pol.[33][34] Since these tests are relatively expensive, the blood is screened by first pooling some 8–24 samples and testing these together; if the pool tests positive, each sample is retested individually. Although this results in a dramatic decrease in cost, the dilution of the virus in the pooled samples decreases the effective sensitivity of the test, lengthening the window period by four days (assuming a 20-fold dilution, ~20hr virus doubling time, detection limit 50 copies/ml, making limit of detection 1,000 copies/ml). Since 2001, donated blood in the United States has been screened with nucleic-acid-based tests, shortening the window period between infection and detectability of disease to a median of 17 days (95% CI, 13–28 Days, assumes pooling of samples).[35] A different version of this test is intended for use in conjunction with clinical presentation and other laboratory markers of disease progress for the management of HIV-1-infected patients.

In the RT-PCR test, viral RNA is extracted from the patient's plasma and is treated with reverse transcriptase (RT) to convert the viral RNA into cDNA. The polymerase chain reaction (PCR) process is then applied, using two primers unique to the virus's genome. After PCR amplification is complete, the resulting DNA products are hybridized to specific oligonucleotides bound to the vessel wall, and are then made visible with a probe bound to an enzyme. The amount of virus in the sample can be quantified with sufficient accuracy to detect threefold changes.[citation needed]

In the Quantiplex bDNA or branched DNA test, plasma is placed in a centrifuge to concentrate the virus, which is then opened to release its RNA. Special oligonucleotides that bind to viral RNA and to certain oligonucleotides bound to the wall of the vessel are added. In this way, viral RNA is fastened to the wall. Then new oligonucleotides that bind at several locations to this RNA are added, and other oligonucleotides that bind at several locations to those oligonucleotides. This is done to amplify the signal. Finally, oligonucleotides that bind to the last set of oligonucleotides and that are bound to an enzyme are added; the enzyme action causes a color reaction, which allows quantification of the viral RNA in the original sample. Monitoring the effects of antiretroviral therapy by serial measurements of plasma HIV-1 RNA with this test has been validated for patients with viral loads greater than 25,000 copies per milliliter.[36]

Screening

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The South African government announced a plan to start screening for HIV in secondary schools by March 2011.[37] This plan was cancelled due to concerns it would invade pupils' privacy, schools typically don't have the facilities to securely store such information, and schools generally do not have the capacity to provide counseling for HIV-positive pupils. In South Africa, anyone over the age of 12 may request an HIV test without parental knowledge or consent. Some 80,000 pupils in three provinces were tested under this programme before it ended.[38]

Other tests used in HIV treatment

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The CD4 T-cell count is not an HIV test, but rather a procedure where the number of CD4 T-cells in the blood is determined.

A CD4 count does not check for the presence of HIV. It is used to monitor immune system function in HIV-positive people. Declining CD4 T-cell counts are considered to be a marker of progression of HIV infection. A normal CD4 count can range from 500 cells/mm3 to 1000 cells/mm3. In HIV-positive people, AIDS is officially diagnosed when the count drops below 200 cells/μL or when certain opportunistic infections occur. This use of a CD4 count as an AIDS criterion was introduced in 1992; the value of 200 was chosen because it corresponded with a greatly increased likelihood of opportunistic infection. Lower CD4 counts in people with AIDS are indicators that prophylaxis against certain types of opportunistic infections should be instituted.[citation needed]

Low CD4 T-cell counts are associated with a variety of conditions, including many viral infections, bacterial infections, parasitic infections, primary immunodeficiency,[39] coccidioidomycosis, burns, trauma, intravenous injections of foreign proteins, malnutrition, over-exercising, pregnancy, normal daily variation, psychological stress, and social isolation.[citation needed]

This test is also used occasionally to estimate immune system function for people whose CD4 T cells are impaired for reasons other than HIV infection, which include several blood diseases, several genetic disorders, and the side effects of many chemotherapy drugs.

In general, the lower the number of T cells the lower the immune system's function will be. Normal CD4 counts are between 500 and 1500 CD4+ T cells/microliter, and the counts may fluctuate in healthy people, depending on recent infection status, nutrition, exercise, and other factors. Women tend to have somewhat lower counts than men.

Criticisms

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Oral tests

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As a result of an increase in false positive rates with rapid oral HIV testing in 2005, New York City's Department of Health and Mental Hygiene added the option of testing finger-stick whole blood after any reactive result, before using a western blot test to confirm the positive result. Following a further increase of false positives in NYC DOHMH STD Clinics during the end of 2007 and beginning of 2008, their clinics opted to forgo further oral screenings, and instead reinstituted testing using finger-stick whole blood.[40] Despite the increase in false positives in NYC DOHMH, the CDC still continues to support the use of noninvasive oral fluid specimens due to their popularity in health clinics and convenience of use. The director of the HIV control program for public health at Seattle King county, reported OraQuick failed to spot at least 8 percent of 133 people found to be infected with a comparable diagnostic test.[41] Strategies implemented to determine quality control and false positive rates were implemented. It is to be understood that any reactive OraQuick test result is a preliminary positive result and will always require a confirmatory test, regardless of the mean of testing (venipuncture whole blood, fingerstick whole blood or oral mucosal transudate fluid).[42] Several other testing sites who did not experience a spike in false positive rates continue to use OraSure's OraQuick HIV Anti-body Testing.[43][44]

AIDS denialism

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HIV tests have been criticized by AIDS denialists (a fringe group whose members believe that HIV either does not exist or is harmless). The accuracy of serologic testing has been verified by isolation and culture of HIV and by detection of HIV RNA by PCR, which are widely accepted "gold standards" in microbiology.[23][24] While AIDS denialists focus on individual components of HIV testing, the combination of ELISA and western blot used for the diagnosis of HIV is remarkably accurate, with very low false-positive and -negative rates as described above. The views of AIDS denialists are based on highly selective analysis of mostly outdated scientific papers; there is broad scientific consensus that HIV is the cause of AIDS.[45][46][47]

Fraudulent testing

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There have been a number of cases of fraudulent tests being sold via mail order or the Internet to the general public. In 1997, a California man was indicted on mail fraud and wire charges for selling supposed home test kits. In 2004, the US Federal Trade Commission asked Federal Express and US Customs to confiscate shipments of the Discreet home HIV test kits, produced by Gregory Stephen Wong of Vancouver, Canada.[48] In February 2005, the US FDA issued a warning against using the rapid HIV test kits and other home use kits marketed by Globus Media of Montreal, Canada.[citation needed]

References

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Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
The diagnosis of HIV/AIDS involves laboratory and point-of-care tests to detect human immunodeficiency virus (HIV) infection, which impairs the immune system and can progress to acquired immunodeficiency syndrome (AIDS) characterized by severe opportunistic infections or CD4 cell counts below 200 cells/mm³. Standard protocols, such as those recommended by the U.S. Centers for Disease Control and Prevention (CDC), begin with fourth-generation antigen/antibody immunoassays that identify HIV-1/2 antibodies and the p24 antigen, followed by confirmatory nucleic acid amplification tests (NAAT) or differentiation assays for reactive samples to distinguish HIV-1, HIV-2, or false positives. These methods achieve high sensitivity and specificity, with antigen/antibody tests detecting infection typically 18-45 days post-exposure, though NAATs enable earlier identification during the acute phase by quantifying viral RNA load. Initial HIV antibody screening tests emerged in 1985 with enzyme-linked immunosorbent assay (ELISA) technology, primarily to safeguard blood supplies, marking a pivotal advancement in containing transmission amid the emerging epidemic. Subsequent innovations, including rapid diagnostic tests approved for over-the-counter use and self-testing kits like OraQuick, have expanded access, facilitating confidential screening and prompt linkage to antiretroviral therapy that suppresses viral replication and prevents AIDS progression. Viral load testing via polymerase chain reaction (PCR) not only confirms diagnosis in seronegative acute infections but also monitors treatment efficacy, with undetectable levels indicating effective control. Challenges in HIV diagnosis include the "window period" of 10-33 days when standard antibody tests may yield false negatives despite infectivity, underscoring the value of repeated testing in high-risk scenarios, and potential false positives in low-prevalence settings due to cross-reactivity, necessitating algorithmic confirmation. While peer-reviewed evaluations affirm the reliability of FDA-approved assays, empirical data from diverse cohorts reveal variations in performance, emphasizing the need for context-specific application over universal assumptions of infallibility.

Diagnostic Criteria and Terminology

Criteria for Diagnosing HIV Infection

HIV infection is diagnosed by laboratory detection of HIV-specific antibodies, p24 antigen, or viral nucleic acid, using a sequential algorithm to balance sensitivity and specificity. The U.S. Centers for Disease Control and Prevention (CDC) endorses an initial screening with a fourth-generation HIV antigen/antibody immunoassay that detects both HIV-1/2 antibodies and HIV-1 p24 antigen, enabling detection as early as 18 days post-exposure. A nonreactive screening test excludes infection in the absence of recent exposure, while a reactive result necessitates confirmatory testing to distinguish true positives from false positives, which occur at rates below 0.1% in low-prevalence settings but higher in certain populations. Confirmatory testing typically involves an HIV-1/HIV-2 differentiation immunoassay, which identifies specific antibodies to HIV-1 or HIV-2; a positive result for either establishes the diagnosis. If the differentiation assay yields indeterminate or negative results despite a reactive screen, or if acute infection is suspected, an HIV-1 nucleic acid amplification test (NAAT) quantifying viral RNA (threshold typically 20-40 copies/mL) is required, confirming active replication. Western blot or immunofluorescence assays serve as alternatives in resource-limited settings or when differentiation assays are unavailable, requiring characteristic banding patterns (e.g., gp41, gp120/160 for HIV-1) for positivity, though their use has declined due to subjectivity and lower throughput. Diagnosis mandates at least two concordant positive tests from separate specimens to mitigate errors. In infants born to HIV-positive mothers, maternal antibodies confound serological testing until 18 months of age, necessitating virologic assays like qualitative HIV DNA PCR or quantitative HIV RNA assays for diagnosis. The CDC and World Health Organization (WHO) recommend testing at birth, 14-21 days, 1-2 months, and 4-6 months; two positive virologic results from separate samples confirm perinatally acquired HIV, with negative tests at 4-6 months and 18 months ruling out infection in non-breastfed infants. For children over 18 months, adult serological algorithms apply. Acute HIV infection, characterized by high viremia before seroconversion (median 23 days post-exposure), relies on NAAT for diagnosis when antigen/antibody tests are negative. Self-reported history or symptoms alone do not suffice for diagnosis; all cases require documented laboratory evidence, with retesting advised for equivocal results to account for technical variability or biological factors like elite controllers with undetectable viremia despite infection. The WHO advocates similar strategies globally, emphasizing rapid diagnostic tests in high-burden areas but requiring serological confirmation, with virologic testing prioritized for early infant diagnosis to enable timely antiretroviral intervention.

Criteria for Diagnosing AIDS

The diagnosis of AIDS requires confirmation of HIV infection followed by evidence of severe immunosuppression or specific opportunistic conditions. According to the Centers for Disease Control and Prevention (CDC), AIDS is defined in individuals with laboratory-confirmed HIV as either a CD4+ T-lymphocyte count below 200 cells per cubic millimeter of blood or the occurrence of an AIDS-defining condition, regardless of CD4 count. This classification system, revised in 1993 and unchanged in core criteria as of 2025, categorizes HIV progression into stages A, B, and C, with stage C corresponding to AIDS based on the above thresholds. AIDS-defining conditions encompass over 25 opportunistic infections, cancers, and other illnesses indicative of profound immune deficiency, such as Pneumocystis pneumonia, esophageal candidiasis, Kaposi's sarcoma, invasive cervical cancer, and central nervous system lymphomas. These conditions must be diagnosed via clinical, microbiological, or histological methods, with attribution to HIV-related immunosuppression distinguishing them from non-HIV causes. CD4 counts are measured via flow cytometry, typically requiring two determinations within a short interval to confirm the threshold, though a single qualifying opportunistic illness suffices for diagnosis. The World Health Organization (WHO) aligns closely with CDC criteria but emphasizes clinical staging for resource-limited settings where CD4 testing may be unavailable. WHO defines advanced HIV disease (equivalent to AIDS) as clinical stage 3 or 4 events or a CD4 count below 200 cells/mm³ in adults and adolescents. Stage 4 includes severe conditions like extrapulmonary tuberculosis, HIV encephalopathy, and wasting syndrome, with diagnosis relying on observable symptoms such as unexplained weight loss exceeding 10% or chronic diarrhea persisting over one month. In children under 5 years, WHO uses a CD4 percentage below 25% or absolute count thresholds adjusted for age, alongside similar opportunistic events. These criteria enable early identification of treatment needs, as antiretroviral therapy can prevent progression to AIDS in most HIV-positive individuals when initiated promptly after diagnosis. Discrepancies between immunological (CD4-based) and clinical criteria are resolved by prioritizing the more advanced indicator, ensuring conservative staging to guide interventions.

Key Terminology and Definitions

Human Immunodeficiency Virus (HIV) is a retrovirus that targets CD4+ T cells, leading to progressive immune system impairment if untreated. HIV infection is confirmed by detecting the virus, its components, or the host's immune response through laboratory tests, distinguishing it from mere exposure or transient viremia. There are two primary types: HIV-1, responsible for the global pandemic and most infections, and HIV-2, predominantly found in West Africa with slower progression and lower transmissibility. Acquired Immunodeficiency Syndrome (AIDS) represents the advanced stage of HIV infection, characterized by severe immunosuppression. Diagnosis requires documented HIV infection plus either a CD4+ T lymphocyte count below 200 cells per cubic millimeter of blood or the presence of an AIDS-defining opportunistic illness, such as Pneumocystis pneumonia or Kaposi's sarcoma, regardless of CD4 count. This definition, established by the U.S. Centers for Disease Control and Prevention in 1993 and updated for alignment with WHO staging, underscores AIDS as a clinical syndrome rather than a distinct viral entity. CD4+ T Cell Count quantifies the number of CD4-bearing helper T lymphocytes per microliter of blood, serving as a key marker of immune competence in HIV patients. Normal ranges exceed 500 cells/μL; counts below 200 cells/μL indicate profound immunosuppression and fulfill a criterion for AIDS diagnosis, while levels between 200-500 signal moderate risk for opportunistic infections. Serial measurements guide therapeutic decisions and prognosis, though influenced by factors like age, co-infections, and antiretroviral therapy. HIV Viral Load, or plasma HIV RNA level, measures the concentration of viral genetic material in blood via nucleic acid amplification tests, expressed as copies per milliliter. High viral loads (>100,000 copies/mL) correlate with rapid disease progression and transmission risk, while undetectable levels (<50 copies/mL) on therapy indicate effective viral suppression. In acute infection diagnosis, viral loads exceeding 10,000 copies/mL often precede seroconversion, enabling early detection during the window period. Seroconversion refers to the development of detectable HIV-specific antibodies in serum following infection, typically occurring 3-12 weeks post-exposure. This process marks the transition from antigenemia to antibody positivity, essential for interpreting serological tests; failure to seroconvert may occur in elite controllers or immunocompromised individuals. Window Period denotes the interval between HIV acquisition and test detectability, varying by assay: 10-33 days for antigen/antibody tests and 18-45 days for antibody-only tests. During this eclipse phase, false negatives predominate, necessitating repeat or molecular testing for high-risk exposures.

Principles of HIV Testing

Window Period and Early Detection Challenges

The window period in HIV diagnosis refers to the interval between viral acquisition and the point at which a test can reliably detect infection, during which false-negative results are possible due to insufficient levels of detectable markers such as antibodies or antigens. This period arises because HIV replication initially produces low viral loads that evade serological detection, followed by gradual immune responses that take time to generate measurable antibodies. For nucleic acid tests (NAT) detecting HIV RNA, the window period typically spans 10 to 33 days post-exposure, allowing the earliest detection among standard assays. Antigen/antibody combination tests, which identify both p24 antigen and antibodies, shorten this to approximately 18 to 45 days, with lab-based versions (from venous blood) generally conclusive by 45 days post-exposure per CDC guidelines; rapid point-of-care versions using finger-prick blood may require up to 90 days. A negative result at 90 days is conclusive across all serological tests, while at 84 days (12 weeks) it is highly reliable and considered conclusive by many guidelines, though conservative sources may prefer 90 days for absolute certainty. Individual variability in viral kinetics can extend it. Antibody-only tests, reliant on seroconversion, face the longest window of 23 to 90 days, with most individuals detectable by 3 months but rare cases persisting longer. Early detection challenges stem primarily from the high transmissibility during acute infection, when viral loads peak (often exceeding 10^5 copies/mL) despite negative tests, facilitating onward spread before diagnosis. False negatives in this phase not only delay antiretroviral therapy initiation—critical for preserving CD4 counts and reducing reservoir size—but also undermine public health efforts, as undiagnosed individuals unknowingly contribute to epidemics. Factors exacerbating these issues include host immune response variability, with slower seroconverters facing prolonged windows, and confounding influences like pre-exposure prophylaxis (PrEP), which can suppress early viral markers and mimic seronegativity. Peer-reviewed analyses indicate that even fourth-generation assays, while reducing the window by 5-7 days compared to older methods, may miss up to 12% of acute infections if not paired with NAT in high-risk scenarios. Addressing these challenges requires stratified testing strategies, such as initial NAT for recent exposures or symptomatic cases, followed by confirmatory serological assays at 4-6 weeks and 3 months to account for outliers. For potential exposures, a fourth-generation antigen/antibody test at 4 weeks post-exposure provides high accuracy (detecting approximately 95% of infections), and a negative result at 6 weeks highly excludes infection with nearly 100% accuracy, while nucleic acid tests enable earlier detection within 10-33 days but are more expensive; consultation with a healthcare provider is recommended for evaluation and management. Guidelines emphasize repeat testing for at-risk populations, as single early tests yield incomplete sensitivity; for instance, 99% detection by 90 days post-exposure demands follow-up to mitigate diagnostic gaps. Emerging data highlight rare prolonged windows (up to 34 days for some immunoassays), underscoring the need for clinical vigilance in interpreting negatives amid acute retroviral syndrome symptoms like fever and lymphadenopathy, which occur in 50-90% of cases but are often nonspecific. A "non-reactive" HIV test result means the test did not detect HIV antibodies or antigens, indicating no evidence of infection (equivalent to HIV-negative). A "negative" result conveys the same meaning: the test did not detect HIV. The terms are essentially synonymous, though "non-reactive" is often used for initial screening tests such as rapid or antigen/antibody assays, while "negative" is common in lab reports or confirmed results. Both indicate absence of detectable HIV, but results must account for the window period, with retesting recommended if recent exposure is possible.

Screening vs. Confirmatory Testing Algorithms

Screening tests for HIV infection prioritize high sensitivity to identify nearly all true positives while minimizing false negatives, typically employing fourth-generation antigen/antibody immunoassays that detect HIV-1/2 antibodies and HIV-1 p24 antigen. These assays achieve sensitivities exceeding 99.9% for established infections and specificities around 99.5%, though false-positive rates increase in low-prevalence populations due to the positive predictive value depending on disease prevalence. In contrast, confirmatory tests emphasize specificity to rule out false positives from screening, often using HIV-1/HIV-2 differentiation immunoassays or nucleic acid tests (NAT) like HIV RNA PCR, which detect viral genetic material with specificities approaching 100% and sensitivities suitable for confirming acute or early infections. The CDC-recommended laboratory algorithm begins with a reactive screening immunoassay, followed by a differentiation assay to distinguish HIV-1 from HIV-2 antibodies or negative results; if the differentiation assay indicates HIV-1 reactivity, diagnosis is confirmed, whereas indeterminate or HIV-2 results prompt NAT for viral load quantification. This multi-step approach, updated in 2014 and reaffirmed in subsequent guidelines, reduces diagnostic errors compared to older antibody-only screening followed by Western blot, which had higher rates of indeterminate results (up to 0.3-0.5% in some cohorts). WHO algorithms, tailored for resource-limited settings, often rely on serial rapid diagnostic tests (RDTs) in a two- or three-test sequence, requiring sequential reactivity for positivity to enhance specificity without lab infrastructure; these strategies aim for individual test sensitivities ≥99% and specificities ≥98% per WHO prequalification criteria.
Algorithm ComponentScreening Test CharacteristicsConfirmatory Test Characteristics
Primary PurposeDetect potential infection with high sensitivity (>99.9%) to avoid missing casesVerify true positives with high specificity (>99.9%) to exclude false alarms
Common MethodsAg/Ab combo immunoassay (e.g., detects p24 antigen and antibodies)Differentiation immunoassay or HIV RNA NAT (e.g., PCR for viral load >1,000 copies/mL)
False Positive RiskHigher in low-prevalence settings (e.g., 1:1,000 positives may include false positives)Minimal, as designed to confirm screening reactives
Turnaround TimeRapid (minutes for point-of-care; hours for lab)Longer (days for NAT), but essential for accuracy
This table illustrates key distinctions, highlighting how screening's emphasis on sensitivity suits broad population testing, while confirmatoriness ensures diagnostic reliability, with algorithms combining both to achieve overall positive predictive values >99% in most scenarios. In high-risk or acute settings, direct NAT may bypass screening for earlier detection during the window period (10-33 days post-exposure), where antibody tests alone fail. Algorithms evolve with test advancements, such as multiplex assays, but maintain the screening-confirmatory dichotomy to balance efficiency, cost, and precision.

Measures of Test Accuracy and Reliability

The accuracy of HIV diagnostic tests is primarily assessed through sensitivity (the proportion of individuals with HIV infection who test positive) and specificity (the proportion of individuals without HIV who test negative). Antigen/antibody combination tests, commonly used in screening, demonstrate sensitivity ranging from 99.76% to 100% and specificity from 99.50% to 100%. Rapid point-of-care tests also achieve sensitivity and specificity exceeding 99%. These high values indicate robust performance in detecting or ruling out infection, though no test reaches 100% accuracy due to biological variability and technical limitations. Positive predictive value (PPV), the probability that a positive test result reflects true infection, and negative predictive value (NPV), the probability that a negative result indicates absence of infection, depend not only on sensitivity and specificity but also on HIV prevalence in the tested population. In low-prevalence settings, such as general screening among low-risk groups, PPV can be substantially reduced even with high specificity, leading to false-positive rates that necessitate confirmatory testing; for instance, a specificity of 99.78% in fourth-generation antigen/antibody assays yields a PPV influenced heavily by background prevalence below 1%. Conversely, NPV remains high across prevalence levels due to the tests' strong sensitivity. This prevalence dependence underscores the causal role of Bayesian principles in interpreting results, where low pretest probability amplifies the relative impact of false positives. Reliability is enhanced through multi-step algorithms, such as initial screening followed by confirmatory assays like Western blot or nucleic acid tests, which differentiate true positives from false ones with near-perfect specificity when properly implemented. False-positive results, occurring in approximately 0.11% to 0.22% of reactive screens in evaluated cohorts, arise from factors including cross-reactivity with other antibodies or technical errors, but rates have declined with advanced reagents and strategies avoiding suboptimal single-test approaches. Studies confirm that dual or sequential testing minimizes diagnostic errors, with overall false-positive prevalence decreasing in recent surveillance data from high-volume settings. Peer-reviewed evaluations emphasize that while individual tests are reliable, algorithmic confirmation ensures causal validity in diagnosis by addressing residual uncertainty.
Test TypeSensitivity (%)Specificity (%)Key Notes
Antigen/Antibody (4th gen)99.76–10099.50–100High accuracy; PPV varies by prevalence
Rapid Point-of-Care>99>99Suitable for screening; requires confirmation
OraQuick In-HomeNot specified99.98Oral fluid-based; low false positives in validation

Serological Tests

Antibody Detection Methods

Antibody detection methods for HIV diagnosis rely on identifying immunoglobulins (primarily IgG and IgM) produced by the host in response to HIV antigens, such as envelope glycoproteins gp120 and gp41, and core protein p24. These methods form the basis of serological screening and confirmation, detecting seroconversion typically 3 to 12 weeks post-infection, after which antibody levels remain detectable for life in untreated individuals. They are highly sensitive for established infections but cannot identify acute HIV during the window period before antibody production. The primary screening technique is the enzyme immunoassay (EIA), also known as enzyme-linked immunosorbent assay (ELISA), which uses HIV-1 and HIV-2 recombinant or synthetic antigens coated on microplate wells. Patient serum or plasma is added; if HIV antibodies are present, they bind to the antigens, followed by addition of enzyme-conjugated anti-human immunoglobulin antibodies, which produce a colorimetric signal upon substrate addition, quantifiable by optical density. Modern EIAs exhibit sensitivity exceeding 99.5% and specificity above 99% in high-prevalence populations, enabling high-throughput testing of blood donors and clinical samples. Confirmatory testing for reactive EIA results traditionally employs Western blot (immunoblot), which separates denatured HIV proteins by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE), transfers them to a nitrocellulose membrane, and probes with patient serum. HIV-specific antibodies bind discrete protein bands (e.g., gp160, p24, p31), visualized via enzymatic or chemiluminescent detection. A positive result requires antibodies to multiple gene products, such as Env (gp41/gp120/160), Gag (p17/p24), and Pol (p31/p51/p66), per standardized criteria from the CDC or WHO to minimize false positives. Western blot achieves specificity over 99% but requires skilled interpretation due to indeterminate results from cross-reactivity or early seroconversion. Alternative confirmatory methods include indirect immunofluorescence assay (IFA), where HIV-infected cells are fixed and incubated with patient serum; bound antibodies are detected with fluorescent anti-human conjugates under microscopy, confirming reactivity to viral antigens. IFA offers comparable accuracy to Western blot, with sensitivity and specificity near 99%, and is used when immunoblot results are equivocal. Despite advances in antigen/antibody combination assays, pure antibody detection remains integral for differentiating HIV-1 from HIV-2 in some algorithms and validating results in low-prevalence settings, where positive predictive value depends on pretest probability. False positives, though rare (0.1-1% in low-risk groups), necessitate clinical correlation and follow-up testing.

Antigen/Antibody Combination Tests

Antigen/antibody combination tests, also known as fourth-generation HIV assays, simultaneously detect HIV-1 p24 antigen and antibodies (IgM and IgG) to HIV-1 and HIV-2 in serum or plasma samples. These tests enable identification of acute HIV infection during the period when p24 antigen is present but antibodies have not yet developed, shortening the diagnostic window compared to third-generation antibody-only tests. The p24 antigen, a core protein of HIV, peaks early in infection and becomes detectable approximately 10 to 14 days after exposure, prior to seroconversion. The window period—the interval between infection and reliable detection—for these tests is typically 18 to 45 days for 99% sensitivity, with some assays identifying infection as early as 14 days post-exposure. This represents a reduction of 4 to 5 days relative to antibody-only assays, as p24 antigen detection bridges the gap before antibody production. However, infections occurring within the first 10 days may still evade detection, necessitating follow-up testing or nucleic acid amplification tests (NAT) for high-risk exposures. Performance metrics for FDA-approved combination tests demonstrate high sensitivity (99.0% to 100%) and specificity (99.5% to 99.9%) in clinical evaluations, though false positives can occur due to cross-reactivity with other conditions or assay variability, requiring confirmatory differentiation assays. For instance, the Abbott ARCHITECT HIV Ag/Ab Combo assay exhibits sensitivity for diverse HIV-1 subtypes and a low limit of detection for p24 antigen. Similarly, the Bio-Rad Access HIV Combo V2 shows robust specificity in screening large cohorts, with p24 detection limits supporting early diagnosis. Development of these tests began in the late 1990s to address limitations of earlier generations, with initial assays like the Vironostika HIV Uniform II Ag/Ab launched around 1997. The U.S. Centers for Disease Control and Prevention (CDC) recommends fourth-generation assays as the initial screening step in laboratory-based HIV diagnostic algorithms, followed by HIV-1/HIV-2 antibody differentiation immunoassays for reactive results. Examples of approved assays include the Abbott Alinity s HIV Ag/Ab Combo (2021) for donor screening and the Determine HIV-1/2 Ag/Ab Combo (2022), a rapid point-of-care option for simultaneous antigen/antibody detection. Positive results from combination tests must be confirmed, as they do not distinguish acute from established infection without supplemental NAT or viral load testing.

Rapid and Point-of-Care Serological Tests

Rapid and point-of-care (POC) serological tests for HIV detect antibodies to HIV-1 and HIV-2 in blood, serum, plasma, or oral fluid samples, providing results within 20-40 minutes without requiring laboratory infrastructure. These tests employ lateral flow immunoassay technology, similar to home pregnancy tests, where patient sample is applied to a test strip that produces visible lines indicating reactivity. In HIV 1/2 rapid test cassettes, results are interpreted as follows: negative if only the control line (C) appears with no test line (T); positive if both the control line (C) and test line (T) appear, with any visible color in the T line, even faint, considered positive (reactive for HIV-1/2 antibodies); invalid if no control line (C) appears, requiring repeat testing with a new cassette. Some cassettes have separate T lines for HIV-1 and HIV-2, but the principle remains the same: presence of test line(s) with C indicates positive. Positive results require confirmatory laboratory testing. Primarily used as screening tools, they prioritize high sensitivity to minimize false negatives, with reactive results necessitating confirmatory testing via laboratory methods like Western blot or nucleic acid tests. Examples of FDA-approved rapid serological tests include the OraQuick ADVANCE HIV-1/2 Antibody Test, which uses oral fluid and was cleared for professional use in 2004 and over-the-counter home use in 2012, achieving a sensitivity of 99.3% (95% CI: 98.4%-99.7%) and specificity of 99.8% (95% CI: 99.6%-99.9%) in oral fluid specimens from high-risk populations. Another is the INSTI HIV-1/HIV-2 Antibody Test, a fingerstick blood assay with reported sensitivity exceeding 99% and specificity around 99.5% in established infections. Fourth-generation POC tests, such as the Determine HIV-1/2 Ag/Ab Combo, simultaneously detect antibodies and p24 antigen, reducing the window period to approximately 18-45 days post-exposure compared to 23-90 days for antibody-only tests, with clinical sensitivity of 99.9% across sample types. Performance varies by specimen type and population; blood-based tests generally outperform oral fluid in sensitivity due to higher antibody concentrations, though oral tests like OraQuick facilitate non-invasive screening. CDC and WHO guidelines endorse these tests for initial screening in diverse settings, including resource-limited areas, where they have increased testing uptake by delivering same-day results and enabling immediate linkage to care. However, false-positive rates, though low (e.g., 0.2-1.5%), can occur from cross-reactivity with other conditions, and tests may miss acute infections before seroconversion. In evaluations of six FDA-approved rapid tests, sensitivities ranged from 97.7% to 100%, with lower performance in antiretroviral-treated individuals due to suppressed antibody responses.
Test ExampleSpecimen TypeSensitivity (%)Specificity (%)FDA Approval Year (Professional Use)
OraQuick ADVANCE HIV-1/2Oral fluid99.399.82004
INSTI HIV-1/HIV-2Fingerstick blood>99~99.52010s (exact varies by variant)
Determine HIV-1/2 Ag/Ab ComboWhole blood/serum/plasma99.9High (clinical data)2013
These tests' reliability hinges on proper training for administration and interpretation, as user error can impact outcomes, particularly in self-testing scenarios where real-world specificity may dip below laboratory conditions.

Molecular and Direct Detection Tests

Nucleic Acid Amplification Tests (NAT)

Nucleic acid amplification tests (NAT), also known as molecular tests or viral load assays in diagnostic contexts, directly detect HIV-1 or HIV-2 genetic material, primarily RNA in plasma or proviral DNA in peripheral blood mononuclear cells, through amplification techniques such as polymerase chain reaction (PCR), transcription-mediated amplification (TMA), or branched DNA signal amplification. These tests quantify or qualify viral nucleic acids, enabling detection during the eclipse phase of infection when serological markers like antibodies or p24 antigen are absent. Unlike serological methods, NAT targets the virus itself, providing causal evidence of active replication rather than host immune response. In HIV diagnosis, NAT shortens the window period—the interval between infection and test detectability—to approximately 10 to 33 days post-exposure for HIV RNA assays, compared to 18 days for fourth-generation antigen/antibody tests. Pooled-sample NAT for blood donor screening further reduces this by 11 to 15 days relative to antibody-only testing and 5 to 9 days versus combined antigen/antibody methods, minimizing transmission risk from recently infected donors. Sensitivity exceeds 99.5% and specificity over 99% for detecting HIV-1 subtypes, including non-B clades, though rare false negatives can occur due to low viral loads below assay thresholds (typically 20-50 copies/mL) or HIV-2 variants requiring specific primers. NAT is recommended for diagnosing acute HIV infection in high-risk individuals with symptoms like fever or rash and negative serological results, as well as for confirming indeterminate tests. In perinatal settings, virologic NAT (HIV DNA or RNA PCR) is standard for infants exposed to HIV, performed at birth (within 48 hours), 1-2 months, and 4-6 months, bypassing maternal antibody interference that persists up to 18 months. Positive results in exposed neonates warrant immediate antiretroviral initiation, with sensitivity nearing 100% by 48 hours for in utero infections but potentially delayed to 14-21 days for intrapartum cases. For blood product safety, individual-donor or minipool NAT has been mandated in the U.S. since 2002, reducing transfusion-related HIV risk to below 1 in 1.5 million units. Despite advantages, NAT's high cost (often $100-200 per test), requirement for phlebotomy and laboratory infrastructure, and lower throughput limit routine screening use; it complements rather than replaces serological algorithms. False positives from contamination or cross-reactivity are mitigated by confirmatory retesting and clinical correlation, while emerging point-of-care NAT platforms aim to address accessibility in resource-limited settings, though validation data as of 2021 show diagnostic accuracy comparable to lab-based assays (sensitivity 95-100%, specificity 98-100%). Quantitative NAT also serves dual purposes, measuring baseline viral load (>10,000 copies/mL often indicates acute infection) to guide therapy initiation.

Viral RNA/DNA Assays and Genotyping

Viral RNA assays, typically employing reverse transcription-polymerase chain reaction (RT-PCR), directly detect and quantify HIV-1 RNA in plasma, enabling earlier identification of infection compared to serological tests by targeting the virus's genetic material during the eclipse phase and acute infection. These nucleic acid amplification tests (NATs) can identify HIV-1 RNA as early as 10 to 33 days post-exposure in the absence of antiretroviral therapy, shortening the diagnostic window period. Qualitative RNA assays confirm acute HIV-1 infection, particularly in cases of recent exposure or indeterminate antibody results, while quantitative assays measure viral load to assess infection viability and guide initial management. Commercial platforms, such as the Abbott RealTime HIV-1 assay, achieve lower limits of detection around 20-40 copies/mL, with high specificity exceeding 99% for HIV-1 subtypes. Limitations include potential false positives from contamination or cross-reactivity with other retroviruses, necessitating confirmatory testing, and reduced sensitivity in elite controllers with undetectable viremia. HIV-1 DNA assays, focusing on qualitative PCR detection of proviral DNA integrated into host cell genomes, are primarily utilized for early infant diagnosis where maternal antibodies confound serological tests. In infants born to HIV-positive mothers, these assays on peripheral blood mononuclear cells (PBMCs) reliably detect infection from birth, with sensitivity approaching 100% by 48 hours post-delivery and specificity over 99% when performed before breastfeeding cessation. They are recommended by guidelines for testing at birth, 4-6 weeks, and 4-6 months in exposed infants, as DNA persists even during low viremia phases. Proviral DNA assays may also aid adult diagnosis in rare scenarios of seronegative infection or elite control, though RNA testing is preferred due to higher plasma RNA levels in active replication. Challenges include the need for cell separation, higher costs, and lower applicability to adults without immunosuppression. Genotyping involves sequencing targeted regions of the HIV-1 genome, such as the pol gene encompassing reverse transcriptase, protease, and integrase, to identify mutations conferring antiretroviral resistance, informing regimen selection post-diagnosis. Standard methods use Sanger sequencing on plasma RNA (requiring viral loads >1,000 copies/mL) or proviral DNA for low-viremia cases, detecting major resistance mutations like K103N in non-nucleoside reverse transcriptase inhibitors with sensitivity for minority variants varying by platform. Next-generation sequencing enhances detection of low-frequency variants (<20%), improving prediction of virologic failure risk, as supported by studies showing correlation with phenotypic resistance. In diagnostic contexts, genotyping may subtype HIV-1 clades (e.g., predominant B subtype in the US) or rule out non-B variants with altered test performance, though it is not routine for initial confirmation. CDC and NIH guidelines recommend baseline genotyping before ART initiation in treatment-naive patients or upon failure, with interpretation via databases like Stanford HIVdb for mutation impact scoring. False negatives can occur below detection thresholds, and results must integrate clinical history, as not all mutations predict failure empirically.

Ancillary Tests for Initial Assessment and Staging

CD4 Cell Count and Viral Load in Diagnosis

Following confirmation of HIV infection via serological or molecular testing, CD4 T cell count serves as a critical ancillary measure to assess baseline immune function and stage the disease. CD4 T cells, or helper T lymphocytes, are the primary cellular targets of HIV, and their enumeration via flow cytometry provides the absolute count per microliter of blood. In healthy adults without HIV, CD4 counts typically range from 500 to 1,400 cells/μL. Declines in CD4 count correlate with advancing immunosuppression, with initial measurement at diagnosis establishing prognosis and guiding prophylaxis against opportunistic infections, such as Pneumocystis jirovecii pneumonia when counts fall below 200 cells/μL. Under CDC staging criteria, an initial CD4 count of ≥500 cells/μL classifies HIV as stage 1 (acute or early infection with preserved immunity), 200–499 cells/μL as stage 2 (moderate immunosuppression), and <200 cells/μL as stage 3, which meets the definition of AIDS regardless of clinical symptoms due to elevated risk of life-threatening infections. This threshold of <200 cells/μL has been a surveillance standard since 1993, reflecting empirical data on opportunistic infection incidence. Although antiretroviral therapy (ART) initiation is now recommended immediately upon diagnosis irrespective of CD4 count to prevent progression, low initial counts (<200 cells/μL) predict higher short-term mortality and inform intensified monitoring. Plasma HIV RNA viral load, quantified via nucleic acid amplification tests (e.g., real-time PCR), measures the concentration of replicating virus in blood and complements CD4 assessment by indicating viral replication intensity. Expressed as copies per milliliter (copies/mL), baseline viral loads exceeding 100,000 copies/mL are associated with accelerated CD4 decline and disease progression in untreated individuals, serving as a prognostic marker independent of CD4 count. High initial viral loads also correlate with increased transmission risk and poorer immune recovery on ART. In staging, viral load does not directly define CDC categories but informs overall initial evaluation, with undetectable levels rare in acute untreated infection and detectable loads confirming active viremia post-diagnosis. Together, CD4 count and viral load provide a dual assessment: CD4 reflects cumulative immune damage, while viral load gauges ongoing viral burden, enabling risk stratification for complications like non-AIDS events (e.g., cardiovascular disease) even in virologically suppressed patients with suboptimal CD4 recovery. WHO guidelines similarly endorse baseline measurement of both for all newly diagnosed individuals to tailor care, particularly in resource-limited settings where CD4 remains pivotal for prioritizing ART and prophylaxis. Variability in measurements due to laboratory methods or biological factors (e.g., diurnal fluctuations in CD4) necessitates confirmatory testing if results are borderline.

Other Laboratory Markers

A complete blood count (CBC) with differential is a standard ancillary test in the initial evaluation of HIV-positive individuals, revealing cytopenias such as anemia (hemoglobin often below 10 g/dL in advanced cases), leukopenia, neutropenia, and thrombocytopenia, which reflect bone marrow suppression, immune dysregulation, or opportunistic infections and aid in prognostic assessment. In resource-limited settings, total lymphocyte count serves as a surrogate marker for CD4 cell depletion, with values below 1,200 cells/μL indicating severe immunosuppression comparable to CD4 counts under 200 cells/μL, per World Health Organization criteria. Serum chemistry panels, including electrolytes, blood urea nitrogen, creatinine, and liver function tests (e.g., alanine aminotransferase and aspartate aminotransferase), detect organ dysfunction such as HIV-associated nephropathy (elevated creatinine >1.5 mg/dL) or hepatotoxicity from coinfections like hepatitis B or C, which are screened concurrently via serologies to inform staging and treatment initiation. Fasting lipid profiles and urinalysis are also recommended to identify metabolic complications or proteinuria, respectively, though these are more relevant for long-term monitoring than primary diagnosis. Historically, markers like beta-2 microglobulin and acid phosphatase were used as indirect indicators of HIV progression due to their correlation with tumor burden or immune activation, but they have been supplanted by direct measures of CD4 counts and viral load for superior accuracy in reflecting disease activity. Emerging biomarkers, such as soluble CD14 or D-dimer for inflammation and coagulopathy, show promise in research for predicting clinical events but lack routine diagnostic utility as of 2025. These ancillary tests collectively support clinical staging under systems like the WHO framework, where laboratory abnormalities (e.g., persistent anemia or hypoalbuminemia) contribute to classifying stages 3 or 4 disease, guiding antiretroviral therapy decisions.

Screening and Public Health Applications

Blood Product and Donor Screening Protocols

Screening protocols for HIV in blood products and donors were established in response to early transfusion-transmitted cases identified in the 1980s, which prompted regulatory actions to minimize risk through donor deferral criteria and mandatory laboratory testing. In the United States, the Food and Drug Administration (FDA) licensed the first enzyme immunoassay (EIA) for HIV antibodies on March 2, 1985, leading to immediate implementation of universal donor screening by blood centers, including the American Red Cross, which began testing on March 3, 1985. Prior to this, from 1983, high-risk groups such as men who have sex with men (MSM) were deferred based on self-reported behaviors, though testing was absent until 1985. These measures reduced transfusion-associated HIV transmissions from thousands pre-1985 to near zero, with only isolated cases reported since, such as one in 2008 linked to a missed window period. Current protocols combine behavioral risk assessment with serological and molecular testing to detect HIV infection during the eclipse phase, antigen production, and seroconversion. Donor eligibility begins with standardized questionnaires assessing individual risk factors, including recent MSM activity (with a 3-month deferral if applicable), sex with multiple partners, injection drug use, or exposure to high-prevalence regions; the FDA's 2023 guidance shifted from categorical deferrals to gender-neutral, risk-based questions to enhance equity while maintaining safety. Deferrals are indefinite for certain behaviors like sex in exchange for money or drugs, and temporary for others like recent tattoos or travel. Eligible donors undergo phlebotomy, after which all units are tested; non-reactive units proceed to processing, while reactive ones trigger inventory hold, discard, and donor notification for confirmatory testing and linkage to care. Laboratory screening employs a multi-tiered approach: initial screening with FDA-licensed HIV-1/2 antigen/antibody combination assays (e.g., detecting p24 antigen and IgM/IgG antibodies to HIV-1 groups M/O and HIV-2), followed by nucleic acid testing (NAT) for HIV-1 RNA in minipools (or individual donation if pool-reactive) to shorten the window period from 18-45 days for antibody tests alone to 5-10 days. Reactive units undergo discriminatory assays (e.g., HIV-1 vs. HIV-2 differentiation) and viral load confirmation; false positives, often from cross-reactivity, are investigated via retesting or Western blot, though indeterminate results may defer donors temporarily. For plasma derivatives, heat inactivation and additional pathogen reduction steps supplement screening, as implemented since the late 1980s for products like clotting factors. These protocols extend to source plasma for fractionation, organs, tissues, and semen, with FDA oversight ensuring compliance; internationally, the World Health Organization endorses similar NAT-inclusive strategies, though implementation varies by resource availability. Ongoing challenges include detecting acute infections in donors on antiretrovirals (which may suppress RNA below NAT thresholds) and balancing deferral inclusivity with residual risk, estimated at 1 in 1.5 million donations post-1999 NAT implementation. Lookback procedures trace and test recipients of potentially infectious units, with notifications required within regulatory timelines.

Routine and Targeted Population Screening

Routine HIV screening refers to non-targeted, opt-out testing integrated into standard healthcare visits for broad populations without assessing individual risk factors. In the United States, the Centers for Disease Control and Prevention (CDC) recommends that all individuals aged 13 to 64 years receive at least one HIV test as part of routine medical care, with pregnant persons screened during each pregnancy. This policy, established in 2006 and reaffirmed in subsequent updates, employs an opt-out approach where patients are informed of the test but consent is presumed unless declined, aiming to normalize testing and reduce barriers like stigma. The U.S. Preventive Services Task Force (USPSTF) endorses screening for ages 15 to 65 years, with individualized assessment for younger adolescents and older adults based on risk. Evidence from cohort studies demonstrates that routine screening decreases late diagnoses and HIV-related mortality compared to risk-based approaches alone. For instance, modeling analyses indicate incremental reductions of 3-8% in years of undiagnosed infection and 3-11% in symptomatic cases across various settings. In emergency departments, routine opt-out strategies have proven feasible and effective, identifying new infections at rates exceeding targeted methods in lower-prevalence environments, with one analysis showing 74 additional diagnoses over a year. Cost-effectiveness studies confirm routine screening saves resources by averting transmissions and enabling early antiretroviral therapy (ART), which suppresses viral loads and prevents onward spread. However, implementation varies, with only about 40% of eligible U.S. adults tested lifetime, highlighting gaps in uptake despite evidence of benefits. Targeted population screening supplements routine efforts by focusing on high-risk groups with elevated HIV incidence, such as men who have sex with men (MSM), people who inject drugs (PWID), sex workers, and individuals with multiple sexual partners or sexually transmitted infections (STIs). CDC guidelines advise annual testing for these populations, with more frequent intervals (every 3-6 months) for those with ongoing risks like condomless sex or substance use. In high-burden settings, targeted strategies identify a disproportionate share of cases; for example, MSM account for over 60% of new U.S. diagnoses despite comprising 2-4% of the population. Comparative trials show targeted screening yields higher positivity rates in risk-enriched cohorts but misses infections in those underreporting behaviors, underscoring routine screening's role in capturing hidden prevalence estimated at 13% undiagnosed nationally. Internationally, the World Health Organization (WHO) promotes provider-initiated testing and counseling in healthcare settings for general populations in high-prevalence areas (>1% adult HIV prevalence), combined with targeted services for key populations like MSM and PWID, who face barriers to care. WHO's 2024 updates emphasize HIV self-testing to reach underserved groups, integrated with pre-exposure prophylaxis (PrEP) initiation, though evidence prioritizes empirical linkage to confirmatory diagnostics to avoid false positives in low-prevalence contexts. Overall, combining routine and targeted approaches maximizes case detection, with data indicating routine methods avert 10 or more transmissions per 74 additional diagnoses in diverse settings.

Prenatal and High-Risk Group Testing Strategies

Prenatal HIV testing strategies emphasize universal screening to identify infections early and administer antiretroviral therapy (ART), which substantially reduces mother-to-child transmission (MTCT) rates from approximately 15-45% without intervention to less than 2% with effective prophylaxis. The U.S. Centers for Disease Control and Prevention (CDC) recommends HIV testing for all pregnant individuals as early as possible in each pregnancy, ideally at the initial prenatal visit, using antigen/antibody combination immunoassays. Repeat testing in the third trimester, preferably before 36 weeks' gestation, is advised for those with initial negative results but ongoing risk factors such as injection drug use, multiple sexual partners, or residence in high-prevalence areas, as seroconversion can occur during pregnancy. Expedited testing at delivery is recommended if prior results are unavailable or negative but risk persists, enabling immediate interventions like cesarean delivery or neonatal prophylaxis if viral load exceeds 1,000 copies/mL. The World Health Organization (WHO) endorses similar antenatal HIV testing integrated into routine care, with rapid diagnostics to facilitate same-day ART initiation, contributing to global MTCT reductions. High-risk group testing strategies prioritize frequent, targeted screening for populations with elevated HIV incidence, including men who have sex with men (MSM), people who inject drugs (PWID), individuals with multiple or anonymous sexual partners, and those in correctional or substance use treatment settings, to enable early diagnosis and linkage to care. The CDC advises annual HIV testing for sexually active MSM and at least yearly screening for PWID, with more frequent testing (every 3-6 months) if engaging in high-risk behaviors like condomless sex or needle sharing. In clinical settings such as sexually transmitted infection clinics, routine opt-out testing is promoted, where patients are informed of testing but not required to consent separately, increasing uptake without compromising accuracy. Public health approaches include partner notification and retesting during exposure windows, as undiagnosed acute infections drive disproportionate transmission in these groups; for instance, CDC data indicate MSM account for over 60% of new U.S. diagnoses despite comprising ~2% of the population. These strategies, supported by evidence from cohort studies showing 20-50% transmission reductions through early detection, balance resource allocation by focusing on empirical risk profiles rather than universal routine beyond initial screening for ages 13-64.

Confidentiality, Privacy, and Disclosure Obligations

Healthcare providers and testing facilities maintain strict confidentiality for HIV test results to protect individuals from discrimination and stigma associated with the diagnosis. In the United States, the Health Insurance Portability and Accountability Act (HIPAA) Privacy Rule safeguards protected health information, including HIV status, prohibiting unauthorized disclosure without patient consent. All 50 states and the District of Columbia mandate reporting of confirmed HIV diagnoses to state or local health departments by physicians, laboratories, or clinics, with reports de-identified or coded to preserve anonymity where possible, enabling surveillance without compromising individual privacy. Internationally, the World Health Organization (WHO) advocates for voluntary, confidential HIV testing, emphasizing informed consent and the right to decline disclosure, while opposing compulsory testing on public health grounds. Disclosure obligations arise primarily for public health purposes, including partner notification programs. In the US, health departments often facilitate anonymous or provider-assisted notification to sexual or needle-sharing partners of HIV-positive individuals, without revealing the index patient's identity, to encourage testing and prevent transmission; patient cooperation is encouraged but not always required, with departments stepping in if the patient declines. Thirty-three states have HIV-specific criminal laws requiring aware HIV-positive individuals to disclose their status to sexual partners prior to intimate contact, with penalties including fines or imprisonment for non-disclosure leading to exposure, though prosecutions are rare and vary by jurisdiction. Some states impose a clinician's duty to warn identifiable third parties at significant risk of transmission if the patient refuses to notify them, balancing confidentiality against imminent harm, as outlined in American Medical Association ethical guidelines. Privacy breaches carry legal repercussions, but exceptions permit limited disclosures for treatment, research, or legal proceedings with safeguards like court orders. For instance, HIV-related information cannot be shared without specific patient authorization or statutory exceptions, such as reporting to prevent occupational exposure in healthcare settings. Internationally, frameworks like the European Union's General Data Protection Regulation (GDPR) classify HIV data as sensitive special category data, requiring explicit consent for processing and stringent penalties for violations, though public health reporting overrides in many nations for epidemic control. These obligations reflect a tension between individual rights and collective prevention efforts, with empirical evidence from surveillance systems demonstrating reduced transmission rates through targeted notifications without widespread privacy erosion.

Debates on Anonymous vs. Named Testing

The debate over anonymous versus named (confidential) HIV testing revolves around balancing individual privacy against public health imperatives such as accurate surveillance, partner notification, and linkage to care. Anonymous testing involves no linkage to personal identifiers, allowing individuals to receive results without records tied to their name, which proponents argue reduces stigma and encourages uptake among high-risk or marginalized populations. In contrast, named testing records the individual's identity confidentially with health authorities, facilitating follow-up, treatment adherence, and epidemiological tracking, though critics contend it may deter testing due to fears of breaches, discrimination, or mandatory reporting. Evidence on testing uptake is mixed. A 1998 analysis of U.S. publicly funded counseling and testing programs found that implementing named HIV reporting did not significantly reduce overall testing volumes, with anonymous options comprising 13-15% of tests post-policy and no observed decline attributable to the change. Similarly, a 2002 study in South Carolina after name-based reporting showed initial drops in testing but subsequent recovery, supporting the provision of anonymous alternatives to maintain access. However, anonymous testers tend to differ demographically: CDC data from the early 1990s indicated they were older, more educated, and from higher income brackets, with lower return rates for results compared to named testers, potentially limiting linkage to care and missing opportunities for intervention. Public health advocates favor named testing for enabling partner counseling and referral services, which a 2008 review found effective in identifying undiagnosed cases among contacts, particularly via provider referral. A 1999 UCSF-led study, however, concluded no clear public health benefits from name-based programs in terms of reduced transmission or improved outcomes, attributing persistent undiagnosed infections more to behavioral barriers than reporting policies. Civil liberties groups, such as the ACLU in 1997, argue named systems exacerbate delays in testing by fostering distrust, especially in communities facing historical discrimination, though empirical assessments of deterrence remain limited and contested. By the early 2000s, all U.S. states adopted named reporting for HIV surveillance, reflecting a policy shift prioritizing comprehensive data over absolute anonymity, while retaining limited anonymous sites to address uptake concerns.

Balancing Individual Rights with Public Health Needs

In the context of HIV diagnosis, tensions arise between safeguarding individual privacy and autonomy—rooted in rights to confidentiality and informed consent—and public health imperatives to monitor prevalence, trace transmission chains, and avert further spread through contact tracing and behavioral interventions. Public health strategies prioritize aggregate disease control, such as epidemiological surveillance, which necessitates reporting positive diagnoses, while individual rights frameworks emphasize minimizing stigma, discrimination, and barriers to testing that could deter high-risk individuals from seeking diagnosis. In the United States, all 50 states mandate that physicians and laboratories report confirmed HIV-positive diagnoses to local or state health departments, enabling national surveillance coordinated by the Centers for Disease Control and Prevention (CDC); this name-based reporting, implemented variably since the mid-1980s, supports trend tracking without routine public disclosure. These reports remain confidential under statutory protections, with access restricted to authorized personnel for public health purposes, though breaches have historically fueled concerns over employment, insurance, and social discrimination. Partner notification programs, a cornerstone of prevention, involve health departments confidentially alerting exposed contacts—often without naming the index patient—to encourage testing; CDC data indicate this voluntary process identifies 10-20% additional cases per index notification, balancing notification efficacy against privacy by offering index patients the option of self-disclosure or assisted anonymity. Debates over mandatory versus voluntary testing underscore ongoing conflicts, with proponents of mandates arguing for public health gains in settings like prisons—where voluntary uptake remains low at under 50% in some facilities—or prenatal care to curb mother-to-child transmission, citing evidence that routine opt-out screening increases detection by 20-30% without coercion. Critics, including ethicists and civil liberties advocates, counter that compulsory testing erodes trust, exacerbates stigma, and yields false positives that harm uninfected individuals, as non-consensual screening has proven counterproductive by reducing overall testing rates; the American Medical Association endorses voluntary models with counseling to prioritize autonomy while achieving high coverage through normalization. Internationally, variations persist: some nations, such as parts of sub-Saharan Africa, mandate premarital or military testing despite human rights critiques, while World Health Organization guidelines favor provider-initiated voluntary testing with three-test confirmation to expand access without infringing privacy, reporting adherence rates below 50% in low-resource settings as of 2020. This equilibrium has evolved with antiretroviral advancements, diminishing transmission risks for treated individuals and shifting emphasis toward incentivized voluntary uptake over punitive measures, though persistent underreporting—estimated at 15-20% in surveillance data—highlights unresolved trade-offs where privacy protections may inadvertently hinder comprehensive outbreak control.

Recent Advances in Diagnostic Technologies

Innovations in Sensitivity and Speed


Fourth-generation antigen/antibody combination tests, introduced in the early 2000s, enhanced diagnostic sensitivity by simultaneously detecting HIV-1/2 antibodies and the p24 antigen, shortening the window period to 12-26 days post-exposure from 23-90 days for antibody-only assays. These tests exhibit near-100% sensitivity after 6 weeks, with 99% of infections detectable by 44 days, enabling earlier identification than third-generation tests. Fourth-generation reagents further reduce detection delays by 4-7 days compared to antibody-based screening.
Nucleic acid amplification tests (NAATs), including real-time PCR, provide superior early detection by targeting HIV RNA, with viral loads measurable as early as 5-10 days post-transmission and a standard window of 10-33 days. Quantitative PCR advancements from the early 2000s allow precise viral load quantification, supporting rapid initiation of antiretroviral therapy to limit transmission. These molecular methods maintain high specificity while minimizing false negatives during the seronegative window. Point-of-care innovations have accelerated result turnaround, such as the Xpert HIV-1 Qual XC assay, which delivers molecular qualitative results in about 90 minutes using cartridge-based automation. In 2024, a high-sensitivity RT-PCR lateral flow assay achieved a detection limit of 82 RNA copies/mL, facilitating simplified early diagnosis before seroconversion in resource-limited settings. Biosensors and lab-on-a-chip technologies, evolving since the 2010s, enable portable, 20-minute CD4 counts and biomarker detection with enhanced sensitivity for low viral loads. A 2025 Northwestern University development detects multiple HIV antigens, including p24, in minutes at high sensitivity across subtypes, matching lab standards but without venipuncture delays. CRISPR-based tools like SHERLOCK further amplify sensitivity for trace viral RNA, promoting decentralized testing.

Point-of-Care and Home Testing Developments

Point-of-care (POC) HIV testing emerged in the early 2000s with the FDA approval of the OraQuick Rapid HIV-1 Antibody Test on January 1, 2003, enabling results in 20 minutes using oral fluid or blood samples without laboratory equipment. These CLIA-waived tests, designed for use by non-laboratory personnel, include eight FDA-approved rapid assays as of recent assessments, such as the OraQuick Advance Rapid HIV-1/2 Antibody Test via finger prick or venipuncture. The Abbott Determine HIV-1/2 Ag/Ab Combo represents the sole FDA-approved POC antigen-antibody test, detecting both antibodies and p24 antigen for earlier identification during the window period, though it remains subject to confirmatory testing for positives. POC tests achieve high specificity (typically 98-99.8%) and sensitivity approaching 100% for established infections, but third-generation lateral flow assays detect only up to 40% of acute cases due to reliance on antibodies. WHO guidelines require rapid diagnostic tests (RDTs) to meet a minimum sensitivity of 99% and specificity of 98% for endorsement in screening algorithms. Recent evaluations confirm field performance aligning with laboratory standards when administered by trained users, with sensitivity of 100% in select Canadian studies. Home HIV self-testing evolved from home sample collection kits approved by the FDA in 1996, which required mailing samples for lab analysis, to over-the-counter self-contained kits. The OraQuick In-Home HIV Test gained FDA approval in July 2012 as the first complete at-home rapid test, using oral swabs with results in 20-40 minutes and reported sensitivity of 99.3% and specificity of 99.8% in validation studies. Subsequent approvals include the INSTI HIV Self Test in October 2025, adapted from its professional POC version for 60-second results via finger prick blood. Self-testing demonstrates reliability comparable to professional use, with studies reporting positive percent agreement of 100% and low error rates when instructions are followed, though user interpretation errors occur in 1-2% of cases. Recent innovations include the SURE CHECK HIV Self-Test receiving FDA Breakthrough Device Designation in June 2025 for its immunochromatographic detection of HIV-1/2 antibodies. Emerging POC nucleic acid tests (NATs) aim to enhance acute infection detection but lack FDA approval as of 2025, highlighting ongoing needs for improved sensitivity in early stages. Both POC and home formats increase testing access in resource-limited settings, per WHO endorsements, but positives necessitate laboratory confirmation to mitigate false positives from cross-reactivity or window-period misses.

Integration of Emerging Technologies

Next-generation sequencing (NGS) technologies are increasingly integrated into HIV diagnosis for genotypic drug resistance testing, enabling detection of low-frequency variants at thresholds as low as 1-5% that Sanger sequencing misses. This integration supports personalized antiretroviral therapy by identifying resistance mutations in real-time, with studies validating NGS pipelines like HIV-DRIVES for subtype determination and resistance profiling in clinical settings as of 2024. However, challenges include higher costs and bioinformatics requirements, limiting widespread adoption outside high-resource labs despite demonstrated concordance with traditional methods exceeding 95% in proficiency panels. Artificial intelligence (AI) and machine learning (ML) models are being incorporated into HIV diagnostic workflows to predict infection risk and enhance test interpretation, such as classifying infections with accuracies up to 98% using scalable frameworks on patient data from 2025 studies. These tools analyze electronic health records, imaging, and biomarker data to flag undiagnosed cases or optimize targeted screening, as evidenced by ML algorithms predicting HIV incidence among STI patients with high precision in 2024 validations. Integration with routine testing improves early detection in high-burden areas, though biases in training data from academic datasets—often reflecting underrepresentation of certain demographics—necessitate validation against diverse empirical cohorts to avoid overreliance on modeled predictions. CRISPR-Cas systems, particularly Cas12a and Cas13a, facilitate nucleic acid-based HIV detection integrated into point-of-care assays, achieving sensitivities comparable to PCR (limit of detection ~10-100 copies/mL) in under 60 minutes without amplification in some prototypes. Recent 2024 assays combine CRISPR with recombinase-aided amplification for subtype-specific detection, such as HIV-1C, offering potential for field-deployable diagnostics in resource-limited settings. While promising for causal identification of active replication via direct RNA targeting, clinical integration remains preclinical, with off-target effects and stability issues requiring further empirical testing beyond lab validations. Nanotechnology-enhanced biosensors, including cantilever-based and nanoparticle-conjugated platforms, integrate into HIV diagnostics for antigen detection like p24 at femtogram levels, enabling rapid screening in 2025 prototypes with specificities over 95%. These systems leverage surface plasmon resonance or electrochemical signals amplified by nanomaterials such as gold nanoparticles or WS2/Si3N4 heterostructures, improving portability over ELISA-based methods. Empirical data from peer-reviewed trials confirm reduced assay times to minutes, but scalability hurdles, including manufacturing reproducibility, constrain routine diagnostic use pending larger cohort validations.

Controversies, Criticisms, and Alternative Perspectives

Challenges to Test Specificity and False Positives

HIV diagnostic tests, particularly antibody-based assays like ELISA, exhibit high specificity exceeding 99% in controlled evaluations, yet false positive results remain a persistent challenge due to cross-reactivity with non-HIV antibodies from conditions such as autoimmune diseases, recent vaccinations, or other infections. These false positives occur at rates of approximately 0.1% to 1% among screened negatives, but their impact amplifies in low-prevalence populations where the positive predictive value (PPV) declines sharply. For instance, with a prevalence of 0.1%, a test with 99% specificity yields a PPV of around 9%, meaning over 90% of initial positives may be false, necessitating confirmatory testing to resolve. Confirmatory Western blot assays, intended to mitigate ELISA false positives by detecting specific HIV proteins, introduce additional specificity hurdles through indeterminate results, where bands do not meet strict criteria for positivity, affecting up to 10-20% of reactive sera in early studies of low-risk groups like blood donors. Indeterminate blots often stem from non-specific bands or cross-reacting antibodies, leading to prolonged diagnostic uncertainty and requirements for viral load testing via PCR, which itself carries risks of contamination-induced false positives. In one 1988 screening program analysis, among initially ELISA-positive low-risk subjects, Western blot confirmed only a fraction as true positives, highlighting early algorithmic limitations that persisted into the 1990s before algorithm refinements. Fourth-generation antigen/antibody combination tests, introduced in the early 2000s, enhance sensitivity for early detection but encounter false positives linked to biological factors like pregnancy (19.92% of false positives in one study), tumors, or infertility, with overall false reactive rates reported at 0.05-0.5% in screened cohorts. Specific interferences include heterophilic antibodies or rheumatoid factors binding assay components, as documented in cases of SARS-CoV-2 co-infection or pre-exposure prophylaxis use, where initial positives resolved negative upon retesting with orthogonal methods. These issues underscore the need for multi-step algorithms, yet in resource-limited or rapid testing scenarios, incomplete confirmation can propagate errors, causing psychological distress and unnecessary interventions. In low-prevalence settings, such as general population screening, the low PPV erodes test utility, prompting recommendations for targeted testing in high-risk groups to minimize false positives, as universal approaches inflate confirmatory burdens without proportional yield. Peer-reviewed analyses emphasize that while modern assays achieve specificities over 99.9% in high-volume labs, real-world factors like sample handling errors or assay variability sustain challenges, particularly for point-of-care tests where specificities may dip below 98%. Ongoing research advocates for integrating nucleic acid tests earlier in algorithms to enhance specificity, though cost and accessibility limit widespread adoption.

AIDS Denialism and Disputes over HIV Causality

AIDS denialism refers to the rejection of the established causal link between human immunodeficiency virus (HIV) infection and acquired immunodeficiency syndrome (AIDS), positing instead that HIV is a harmless passenger virus or that AIDS arises from non-infectious factors such as recreational drug use, antiretroviral medications, malnutrition, or lifestyle choices. This view emerged in the late 1980s, challenging the consensus formed by virological isolation of HIV in 1983-1984 and subsequent epidemiological correlations showing HIV-positive individuals progressing to AIDS-defining opportunistic infections without intervention. Denialist claims often invoke failures to strictly meet Koch's postulates, arguing that HIV cannot be isolated in pure form to reproduce AIDS in animal models like chimpanzees, and that viral loads do not consistently predict disease progression. Prominent early proponent Peter Duesberg, a molecular biologist, articulated in a 1987 Science paper that HIV does not cause AIDS, attributing the syndrome instead to prolonged exposure to recreational drugs (e.g., poppers in gay men) or anti-HIV drugs like AZT, which he claimed were toxic enough to suppress immunity independently of any virus. Duesberg maintained that AIDS risk groups shared non-contagious behaviors or exposures explaining immune deficiency, and he questioned HIV's role by noting discrepancies in infection rates versus AIDS incidence across populations, such as lower AIDS cases among hemophiliacs despite high HIV prevalence. These arguments gained limited traction amid initial uncertainties in early AIDS research but were countered by evidence including the depletion of CD4+ T-cells specifically targeted by HIV, fulfillment of modified Koch's criteria for slow viruses (e.g., isolation from AIDS patients, serological association, and disease transmission via HIV-positive blood), and dramatic declines in AIDS mortality following highly active antiretroviral therapy (HAART) introduction in 1996, which suppresses HIV replication and restores immune function. Denialism achieved political influence in South Africa under President Thabo Mbeki from 1999 to 2008, where government policy delayed widespread antiretroviral rollout by questioning HIV's causality and promoting nutritional interventions like vitamins over drugs, influenced by consultations with denialist scientists including Duesberg. This stance contributed to an estimated 330,000 preventable AIDS deaths and 35,000 mother-to-child transmissions between 2000 and 2005, as quantified in a 2008 modeling study by Harvard researchers analyzing treatment access gaps against counterfactual scenarios with standard care. Policy shifts post-Mbeki, including ARV provision, reversed mortality trends, with South African AIDS deaths falling 88% from 2005 peaks by 2015, underscoring treatment's causal efficacy in preventing HIV-driven progression. Scientific rebuttals emphasize empirical data over postulate rigidities: HIV's etiological role is supported by longitudinal cohort studies (e.g., Multicenter AIDS Cohort Study) showing untreated HIV+ individuals developing AIDS at rates correlating with viral load and CD4 decline, absent in HIV-negative controls; simian immunodeficiency virus (SIV) models recapitulating AIDS-like pathology in primates; and prevention of perinatal transmission via maternal ARV prophylaxis, reducing rates from 25-30% to under 2%. Denialist persistence, often amplified online, is critiqued as pseudoscientific, exploiting distrust in pharmaceutical interests or institutional authority without falsifiable alternatives, and linked to ongoing harms like treatment refusal among vulnerable groups. The consensus, per bodies like the National Academy of Sciences, affirms HIV causality based on converging lines of evidence, rendering denialism a fringe position refuted by decades of virological, clinical, and interventional data.

Fraudulent Tests and Diagnostic Misconduct

In various global markets, counterfeit HIV rapid diagnostic tests have circulated, leading to unreliable results that compromise individual health outcomes and public health surveillance. The World Health Organization (WHO) issued a medical product alert on March 27, 2020, identifying falsified Uni-Gold™ HIV rapid tests, which laboratory analysis confirmed contained incorrect components and failed to detect HIV antibodies accurately, thereby risking false negatives and delayed antiretroviral therapy initiation. Such falsified products, often resembling legitimate brands, have been reported in sub-Saharan Africa and other low-resource regions where rapid tests constitute the primary screening method, exacerbating transmission due to undetected cases. Regulatory bodies have documented illegal distribution of unapproved or defective HIV test kits, particularly via online channels. In June 1999, the U.S. Food and Drug Administration (FDA) issued warnings about bogus HIV test kits sold on the internet, stating that these unauthorized products were proliferating and prompting investigations into manufacturers and sellers for providing ineffective diagnostics that could yield misleading outcomes. The Federal Trade Commission (FTC) enforced actions against violators; in January 2001, two manufacturers settled charges for producing and distributing rapid HIV tests ineligible for U.S. sale under federal law, which lacked requisite accuracy validation for consumer use. Similarly, in June 2005, the FTC resolved a case against a marketer of defective HIV test kits that promised rapid results but delivered unreliable performance, deceiving consumers on efficacy. Diagnostic misconduct involving HIV testing has included unauthorized procedures and ethical breaches by practitioners. In the United Kingdom, a general practitioner was found guilty of serious professional misconduct in January 2000 by the General Medical Council for conducting HIV tests on patients without their informed consent, violating confidentiality and autonomy principles central to medical ethics. Such incidents highlight vulnerabilities in clinical settings where oversight lapses enable non-consensual testing, potentially eroding trust in diagnostic processes and deterring individuals from seeking legitimate care. In regions with weak regulatory enforcement, the interplay of counterfeit tests and misconduct amplifies risks, as evidenced by persistent WHO monitoring of substandard medical products that undermine HIV control programs.

References

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