{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"institution":[{"name":"medRxiv"}],"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T13:51:32Z","timestamp":1774446692073,"version":"3.50.1"},"posted":{"date-parts":[[2026,3,23]]},"group-title":"HIV\/AIDS","reference-count":26,"publisher":"openRxiv","license":[{"start":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T00:00:00Z","timestamp":1774224000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"accepted":{"date-parts":[[2026,3,23]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                <jats:sec>\n                  <jats:title>Introduction<\/jats:title>\n                  <jats:p>Viral load (VL) testing is the recommended approach for monitoring antiretroviral therapy (ART) effectiveness, while guidelines recommend targeted CD4 testing after ART initiation. This study examined trends in VL and CD4 testing frequencies, as well as the relationship with AIDS diagnosis and mortality among people with HIV in the Asia-Pacific region.<\/jats:p>\n                <\/jats:sec>\n                <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>We included adults enrolled in the Treat Asia HIV Observational Database (TAHOD) between 2003-2018 who had been on ART for \u22651 year. VL and CD4 testing rates were analysed using Poisson regression models. Associations between testing frequency and AIDS diagnosis or mortality were evaluated using Fine and Gray competing risk regression.<\/jats:p>\n                <\/jats:sec>\n                <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Among 8,446 patients, VL testing rates remained steady at 1 per person-year (PYS) between 2003-2018. Increased VL testing was associated with more frequent CD4 testing (&gt;2 tests in the previous year; IRR=1.57, 95%CI 1.53-1.60), later follow-up years (2008-2012: IRR=1.15, 95%CI 1.12-1.18; 2013-2015: IRR=1.07, 95%CI 1.04-1.10), older age (31-40 years: IRR=1.06, 95%CI 1.03-1.08; 41-50 years: IRR=1.08, 95%CI 1.05-1.11; &gt;50 years: IRR=1.07, 95%CI 1.03-1.11), higher current VL (401-1000 copies\/mL: IRR=1.16, 95%CI 1.09-1.24; &gt;1000 copies\/mL: IRR=1.07, 95%CI 1.04-1.11), initial ART regimen (NRTI+PI: IRR=1.07, 95%CI 1.04-1.10; other combinations: IRR=1.11, 95%CI 1.05-1.17), and higher country income levels (upper-middle: IRR=2.17, 95%CI 2.11-2.23; high: IRR=3.14, 95%CI 3.03-3.26). CD4 testing rates decreased from 2.04 to 1.06\/PYS over the same period. Lower CD4 testing frequency was associated with HIV exposure mode (MSM: IRR=0.94, 95%CI 0.92-0.96; IDU: IRR=0.93, 95%CI 0.90-0.97; other\/unknown: IRR=0.90, 95%CI 0.87-0.93), higher current CD4 (201-350 cells\/\u00b5L: IRR=0.95, 95%CI 0.93-0.97; 351-500 cells\/\u00b5L: IRR=0.89, 95%CI 0.87-0.91; &gt;500 cells\/\u00b5L: IRR=0.85, 95%CI 0.83-0.87) and receiving an NRTI+PI first-line combination (IRR=0.96, 95% CI 0.94-0.98). VL and CD4 testing frequencies were not significantly associated with AIDS diagnosis. However, having &gt; 2 CD4 tests in the previous year was associated with higher mortality risk.<\/jats:p>\n                <\/jats:sec>\n                <jats:sec>\n                  <jats:title>Conclusion<\/jats:title>\n                  <jats:p>The trends in the rates for CD4 and VL testing in the region between 2003-2018 were significantly affected by demographic, clinical and socio-economic factors. Recognizing these factors is critical to optimizing differentiated monitoring strategies and improving outcomes for PWH in the region.<\/jats:p>\n                <\/jats:sec>","DOI":"10.64898\/2026.03.19.26348865","type":"posted-content","created":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T19:20:13Z","timestamp":1774293613000},"source":"Crossref","is-referenced-by-count":0,"title":["Trends in frequency of HIV viral load and CD4 cell count monitoring among Asian cohort of adults with HIV: an analysis of the TREAT Asia HIV Observational Database, 2003-2018"],"prefix":"10.64898","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8039-6994","authenticated-orcid":false,"given":"Mark Kristoffer Ungos","family":"Pasayan","sequence":"first","affiliation":[{"name":"Research Institute for Tropical Medicine, Muntinlupa City, Philippines"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Awachana","family":"Jiamsakul","sequence":"additional","affiliation":[{"name":"The Kirby Institute, UNSW Sydney, Sydney, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Evy","family":"Yunihastuti","sequence":"additional","affiliation":[{"name":"Faculty of Medicine Universitas Indonesia - 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