Evidence map›Paper›PMID 41929315›Full record

ArticlemedRxiv : the preprint server for health sciences2026

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.

Mark Kristoffer Ungos Pasayan, Awachana Jiamsakul, Evy Yunihastuti, Iskandar Azwa, Jun Yong Choi, Nagalingeswaran Kumarasamy, Anchalee Avihingsanon, Romanee Chaiwarith, Yu-Jiun Chan, Vohith Khol and 14 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors.

Mark Kristoffer Ungos PasayanResearch Institute for Tropical Medicine, Muntinlupa City, Philippines.ORCID 0000-0002-8039-6994
Awachana JiamsakulThe Kirby Institute, UNSW Sydney, Sydney, Australia.
Evy YunihastutiFaculty of Medicine Universitas Indonesia - Dr. Cipto Mangunkusumo General Hospital, Jakarta, Indonesia.
Iskandar AzwaInfectious Diseases Unit, Department of Medicine, University of Malaya, Kuala Lumpur.
Jun Yong ChoiDivision of Infectious Diseases, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, South Korea.ORCID 0000-0002-2775-3315
Nagalingeswaran KumarasamyCART CRS, Voluntary Health Services, Chennai, India.
Anchalee AvihingsanonHIV-NAT, Thai Red Cross AIDS Research Centre, Bangkok, Thailand.
Romanee ChaiwarithDivision of Infectious Diseases and Tropical Medicine, Department of Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Yu-Jiun ChanTaipei Veterans General Hospital, Taipei, Taiwan.
Vohith KholNational Center for HIV/AIDS, Dermatology & STDs, Phnom Penh, Cambodia.
Sasisopin KiertiburanakulFaculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.ORCID 0000-0003-4379-4704
Man Po LeeQueen Elizabeth Hospital, Hong Kong SAR.
I Ketut Agus SomiaFaculty of Medicine Udayana University & Sanglah Hospital, Bali, Indonesia.ORCID 0000-0001-6339-3401
Sanjay PujariInstitute of Infectious Diseases, Pune, India.
Cuong Duy DoBach Mai Hospital, Hanoi, Vietnam.
Thach Ngoc PhamNational Hospital for Tropical Diseases, Hanoi, Vietnam.
Fujie ZhangBeijing Ditan Hospital, Capital Medical University, Beijing, China.
Suwimon KhusuwanChiangrai Prachanukroh Hospital, Chiang Rai, Thailand.ORCID 0000-0001-6975-057X
Oon Tek NgTan Tock Seng Hospital, National Centre for Infectious Diseases, Singapore.
Junko TanumaNational Center for Global Health and Medicine, Tokyo, Japan.
Yasmin GaniHospital Sungai Buloh, Sungai Buloh, Malaysia.
Rohidas BorseBJ Government Medical College and Sassoon General Hospital, Pune, India.
Jeremy RossTREAT Asia, amfAR - The Foundation for AIDS Research, Bangkok, Thailand.
Rossana DitangcoResearch Institute for Tropical Medicine, Muntinlupa City, Philippines.

Funding

The Asia-Pacific HIV Research CollaborationU01AI069907 · NIAID · FOUNDATION FOR AIDS RESEARCH · PI ANNETTE H SOHN · 2006 to 2026
$44.8M
NIAID NIH HHS U01 AI069907
6 · The paper itself

Abstract

Introduction: 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. Methods: We included adults enrolled in the Treat Asia HIV Observational Database (TAHOD) between 2003-2018 who had been on ART for ≥1 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. Results: 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 (>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; >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; >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/μL: IRR=0.95, 95%CI 0.93-0.97; 351-500 cells/μL: IRR=0.89, 95%CI 0.87-0.91; >500 cells/μL: 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 > 2 CD4 tests in the previous year was associated with higher mortality risk. Conclusion: 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.

Identifiers

PMID41929315
PMCPMC13042097

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.