Nucleic acid testing-optimized HIV diagnostic algorithms: a multimethod comparative effectiveness analysis in clinical practice.

Background: Global and Chinese efforts still face significant gaps in achieving the first 95% of the "95-95-95" 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. Methods: 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. Results: 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 Conclusion: 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.