AIDS · 2015 · 86 citations · 28 references
MedicineInfectious DiseasesPreventive MedicineEarly DetectionHiv PreventionMolecular DiagnosticsHiv DiagnosisHiv EpidemiologyHiv SurveillanceHiv TestingInfectious Disease Molecular TestingNucleic Acid Amplification TestingAcute Hiv Infection DetectionFourth-generation Hiv AssaysFourth-generation Hiv TestsHiv Antigen DetectionHiv Nucleic Acid TestingHiv PrevalenceHiv Testing AlgorithmsVoluntary Counseling
OBJECTIVE: To assess the addition of HIV nucleic acid testing (NAT) to fourth-generation (4thG) HIV antigen/antibody combination immunoassay in improving detection of acute HIV infection (AHI). METHODS: Participants attending a major voluntary counseling and testing site in Thailand were screened for AHI using 4thG HIV antigen/antibody immunoassay and sequential less sensitive HIV antibody immunoassay. Samples nonreactive by 4thG antigen/antibody immunoassay were further screened using pooled NAT to identify additional AHI. HIV infection status was verified following enrollment into an AHI study with follow-up visits and additional diagnostic tests. RESULTS: Among 74 334 clients screened for HIV infection, HIV prevalence was 10.9% and the overall incidence of AHI (N = 112) was 2.2 per 100 person-years. The inclusion of pooled NAT in the testing algorithm increased the number of acutely infected patients detected, from 81 to 112 (38%), relative to 4thG HIV antigen/antibody immunoassay. Follow-up testing within 5 days of screening marginally improved the 4thG immunoassay detection rate (26%). The median CD4 T-cell count at the enrollment visit was 353 cells/μl and HIV plasma viral load was 598 289 copies/ml. CONCLUSION: The incorporation of pooled NAT into the HIV testing algorithm in high-risk populations may be beneficial in the long term. The addition of pooled NAT testing resulted in an increase in screening costs of 22% to identify AHI: from $8.33 per screened patient to $10.16. Risk factors of the testing population should be considered prior to NAT implementation given the additional testing complexity and costs.
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