The Impact of WHO’s Treat All Guideline on Disease Progression Among People Enrolled in HIV Care in Central Africa: An Observational Cohort Data by Target Trial Design with Multistate Modeling

48 Pages Posted: 8 Aug 2023

See all articles by Jiaqi Zhu

Jiaqi Zhu

City University of New York (CUNY)

Hongbin Zhang

University of Kentucky

Ellen Brazier

City University of New York (CUNY)

Olga Tymejczyk

City University of New York (CUNY)

Marcel Yotebieng

Yeshiva University - Albert Einstein College of Medicine

April D. Kimmel

Virginia Commonwealth University (VCU)

Kathryn Anastos

Yeshiva University - Albert Einstein College of Medicine

Jonathan Ross

Yeshiva University - Albert Einstein College of Medicine

Donald R. Hoover

Rutgers, The State University of New Jersey

Qiuhu Shi

New York Medical College

Gad Murenzi

Rwanda Military Hospital (RMH)

Dominique Mahambu Nsonde

Centre de Traitement Ambulatoire

A Dzudie

University of Yaounde I

Patricia Lelo

Pediatric Hospital Kalembe Lembe

Christella Christella

National Center for Reference Material in HIV / AIDS

Denis Nash

City University of New York (CUNY) - Institute for Implementation Science in Population Health

Abstract

Introduction: WHO's Treat All guidelines, which eliminate eligibility thresholds for people living with HIV to receive antiretroviral therapy, have been implemented by most countries. However, the impact of Treat All on the process of HIV disease progression is unknown.

Methods: We used a target trial design to emulate a hypothetical RCT to evaluate the policy’s impact on HIV disease progression among people living with HIV. We included people enrolled in HIV care during 2013-2019 from the Central Africa International Epidemiology Databases to Evaluate AIDS. Multistate models inferred the transitional hazards of disease progression across the four WHO clinical stages (1: asymptomatic; 2: mild; 3: advanced; 4: severe) and death. We estimated hazard ratios (HR) between a cohort enrolling in HIV care after (n=4,607) and a cohort enrolling before (n=4,439) Treat All guideline implementation, with and without covariates adjustment.

Results: Treat All implementation was associated with decreased hazards of transition in most disease stage categories,  with significant changes in transition hazards from stage 1 to stage 2  (adjusted HR (aHR) 0.64, 95% CI 0.44-0.94) and from stage 1 to death (0.37, 0.17-0.81), with no significant change in transition hazards from stage 2 to 3 (0.71, 0.50-1.01) or from stage 2 to death (0.58, 0.18-1.80).  

Conclusions: Treat All implementation substantially reduced disease progression among those with early-stage HIV disease.

Note:
Funding declaration: The project is partially supported by a pilot grant from Einstein-Rockefeller-CUNY (ERCCFAR) Center for AIDS Research. Central Africa IeDEA is supported by the National Institutes of Health's National Institute of Allergy and Infectious Diseases (NIAID), the Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD), the National Cancer Institute (NCI), the National Institute on Drug Abuse (NIDA), the National Heart, Lung, and Blood Institute (NHLBI), the National Institute on Alcohol Abuse and Alcoholism (NIAAA), the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), the Fogarty International Center (FIC), the National Library of Medicine (NLM), and the Office of the Director (OD) under Award Number U01AI096299 (Central Africa-IeDEA).

Conflict of Interests: No reported conflicts.

Keywords: Treat All, HIV disease progression, Multistate model, Target trial, HIV care

Suggested Citation

Zhu, Jiaqi and Zhang, Hongbin and Brazier, Ellen and Tymejczyk, Olga and Yotebieng, Marcel and Kimmel, April D. and Anastos, Kathryn and Ross, Jonathan and Hoover, Donald R. and Shi, Qiuhu and Murenzi, Gad and Nsonde, Dominique Mahambu and Dzudie, A and Lelo, Patricia and Christella, Christella and Nash, Denis, The Impact of WHO’s Treat All Guideline on Disease Progression Among People Enrolled in HIV Care in Central Africa: An Observational Cohort Data by Target Trial Design with Multistate Modeling. Available at SSRN: https://ssrn.com/abstract=4526823 or http://dx.doi.org/10.2139/ssrn.4526823

Jiaqi Zhu

City University of New York (CUNY) ( email )

Hongbin Zhang

University of Kentucky ( email )

Lexington, KY 40506
United States

Ellen Brazier

City University of New York (CUNY) ( email )

Olga Tymejczyk

City University of New York (CUNY) ( email )

Marcel Yotebieng

Yeshiva University - Albert Einstein College of Medicine ( email )

Jack and Pearl Resnick Campus
1300 Morris Park Avenue
Bronx, NY 10461
United States

April D. Kimmel

Virginia Commonwealth University (VCU) ( email )

Kathryn Anastos

Yeshiva University - Albert Einstein College of Medicine ( email )

Jack and Pearl Resnick Campus
1300 Morris Park Avenue
Bronx, NY 10461
United States

Jonathan Ross

Yeshiva University - Albert Einstein College of Medicine ( email )

Jack and Pearl Resnick Campus
1300 Morris Park Avenue
Bronx, NY 10461
United States

Donald R. Hoover

Rutgers, The State University of New Jersey ( email )

Qiuhu Shi

New York Medical College ( email )

Valhalla, NY 10595
United States

Gad Murenzi

Rwanda Military Hospital (RMH) ( email )

Dominique Mahambu Nsonde

Centre de Traitement Ambulatoire ( email )

Congo, Democratic Republic of the (Zaire)

A Dzudie

University of Yaounde I ( email )

Yaounde
Cameroon

Patricia Lelo

Pediatric Hospital Kalembe Lembe ( email )

Christella Christella

National Center for Reference Material in HIV / AIDS ( email )

Denis Nash (Contact Author)

City University of New York (CUNY) - Institute for Implementation Science in Population Health ( email )

United States

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