{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T05:59:47Z","timestamp":1785304787873,"version":"3.55.0"},"reference-count":33,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T00:00:00Z","timestamp":1785283200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontierspartnerships.org"],"crossmark-restriction":true},"short-container-title":["Br. J. Biomed. Sci."],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Global and Chinese efforts still face significant gaps in achieving the first 95% of the \u201c95-95-95\u201d target, with persistently high and rising rates of late HIV diagnosis. This study evaluates RNA\/DNA quantification, RNA qualitative, and ELISA assays to optimize HIV testing strategies.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A prospective cross-sectional study evaluated 215 first-time HIV testers from June 2024 to May 2025. Using clinical diagnosis as the reference standard, we assessed four methods' sensitivity, specificity, and subgroup performance, with tandem testing strategies simulation for optimal detection.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      DNA quantitative detection demonstrated optimal performance with 100% sensitivity and specificity. RNA quantitative assay showed 99.02% sensitivity and 100% specificity, while ELISA achieved 99.02% sensitivity and 98.23% specificity. RNA qualitative testing exhibited 99.02% sensitivity but lower specificity (75.22%). ROC revealed superior diagnostic performance for DNA quantitative (AUC = 1.000) and RNA quantitative (AUC = 0.995) compared to RNA qualitative (AUC = 0.871). All methods maintained consistent sensitivity across CD4\n                      <jats:sup>+<\/jats:sup>\n                      T cell levels. Simulation of tandem strategies identified ELISA combined with DNA quantitative testing as optimal (net sensitivity: 99.02%, net specificity: 100%, total tests: 318). For 18 WB-indeterminate samples, DNA\/RNA quantitative methods achieved 100% diagnostic accuracy, outperforming RNA qualitative (94.44%) and ELISA (83.33%).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>DNA quantitative detection shows high diagnostic value in initial HIV testing, overcoming challenges from undisclosed ART-induced RNA suppression and resolving WB-indeterminate misclassifications to reduce late diagnosis risks. This study supports Nucleic acid tests into diagnostic algorithms and validates the superior performance of ELISA screening followed by DNA confirmation, offering actionable strategies to shorten diagnostic delays and advance national AIDS control objectives.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/bjbs.2026.15887","type":"journal-article","created":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T05:10:29Z","timestamp":1785301829000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Nucleic acid testing-optimized HIV diagnostic algorithms: a multimethod comparative effectiveness analysis in clinical practice"],"prefix":"10.3389","volume":"83","author":[{"given":"Defu","family":"Yuan","sequence":"first","affiliation":[{"name":"Department of Epidemiology and Health Statistics, Key Laboratory of Environmental Medicine Engineering of Ministry of Education, School of Public Health, Southeast 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