Affiliations 

  • 1 Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA. Electronic address: [email protected]
  • 2 University College London, London, UK
  • 3 Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA
  • 4 Medical Research Council Clinical Trials Unit, University College London, London, UK
  • 5 Sorbonne Universités, University Pierre et Marie Curie (UPMC), UMR S1136, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Paris, France
  • 6 Sorbonne Universités, University Pierre et Marie Curie (UPMC), UMR S1136, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Paris, France; Assistance Publique-Hôpitaux de Paris (AP-HP), Hôpital Antoine Béclère, Service de Médecine Interne, Clamart, France
  • 7 Stichting HIV Monitoring, Amsterdam, Netherlands
  • 8 Stichting HIV Monitoring, Amsterdam, Netherlands; Academic Medical Center, Department of Global Health and Division of Infectious Diseases, University of Amsterdam, and Amsterdam Institute for Global Health and Development, Amsterdam, Netherlands
  • 9 Hospital Clinic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
  • 10 Bellvitge University Hospital, L'Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), University of Barcelona, L'Hospitalet de Llobregat, Spain
  • 11 Yale University School of Medicine, New Haven, and VA Connecticut Healthcare System, West Haven, CT, USA
  • 12 Departments of Epidemiology, Global Health, and Medicine, Emory University, Atlanta, GA, USA
  • 13 Basel Institute for Clinical Epidemiology and Biostatistics, University Hospital Basel, Basel, Switzerland
  • 14 Department of Infectious Diseases, Bern University Hospital and University of Bern, Bern, Switzerland
  • 15 Ramón y Cajal Hospital, Madrid, Spain; University of Alcalá de Henares, Madrid, Spain
  • 16 University of Alcalá de Henares, Madrid, Spain
  • 17 University of Athens Medical School, Athens, Greece
  • 18 Bristol University, Bristol, UK
  • 19 Université Paris Sud, UMR 1018, and AP-HP, Hôpital de Bicêtre, Service de Santé Publique, le Kremlin Bicêtre, France
  • 20 INSERM U897, Centre Inserm Epidémiologie et Biostatistique, Université de Bordeaux, and Bordeaux University Hospital, Department of Internal Medicine, Bordeaux, France
  • 21 Consorcio de Investigación Biomédica de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Vall d'Hebron Research Institute, Barcelona, Spain
  • 22 Consorcio de Investigación Biomédica de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Centro Nacional de Epidemiologia, Instituto de Salud Carlos III, Madrid, Spain
  • 23 Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA; Department of Biostatistics, Harvard T H Chan School of Public Health, and Harvard-Massachusetts Institute of Technology, Division of Health Sciences and Technology, Boston, MA, USA
Lancet HIV, 2015 Aug;2(8):e335-43.
PMID: 26423376 DOI: 10.1016/S2352-3018(15)00108-3

Abstract

BACKGROUND: Recommendations have differed nationally and internationally with respect to the best time to start antiretroviral therapy (ART). We compared effectiveness of three strategies for initiation of ART in high-income countries for HIV-positive individuals who do not have AIDS: immediate initiation, initiation at a CD4 count less than 500 cells per μL, and initiation at a CD4 count less than 350 cells per μL.

METHODS: We used data from the HIV-CAUSAL Collaboration of cohort studies in Europe and the USA. We included 55,826 individuals aged 18 years or older who were diagnosed with HIV-1 infection between January, 2000, and September, 2013, had not started ART, did not have AIDS, and had CD4 count and HIV-RNA viral load measurements within 6 months of HIV diagnosis. We estimated relative risks of death and of death or AIDS-defining illness, mean survival time, the proportion of individuals in need of ART, and the proportion of individuals with HIV-RNA viral load less than 50 copies per mL, as would have been recorded under each ART initiation strategy after 7 years of HIV diagnosis. We used the parametric g-formula to adjust for baseline and time-varying confounders.

FINDINGS: Median CD4 count at diagnosis of HIV infection was 376 cells per μL (IQR 222-551). Compared with immediate initiation, the estimated relative risk of death was 1·02 (95% CI 1·01-1·02) when ART was started at a CD4 count less than 500 cells per μL, and 1·06 (1·04-1·08) with initiation at a CD4 count less than 350 cells per μL. Corresponding estimates for death or AIDS-defining illness were 1·06 (1·06-1·07) and 1·20 (1·17-1·23), respectively. Compared with immediate initiation, the mean survival time at 7 years with a strategy of initiation at a CD4 count less than 500 cells per μL was 2 days shorter (95% CI 1-2) and at a CD4 count less than 350 cells per μL was 5 days shorter (4-6). 7 years after diagnosis of HIV, 100%, 98·7% (95% CI 98·6-98·7), and 92·6% (92·2-92·9) of individuals would have been in need of ART with immediate initiation, initiation at a CD4 count less than 500 cells per μL, and initiation at a CD4 count less than 350 cells per μL, respectively. Corresponding proportions of individuals with HIV-RNA viral load less than 50 copies per mL at 7 years were 87·3% (87·3-88·6), 87·4% (87·4-88·6), and 83·8% (83·6-84·9).

INTERPRETATION: The benefits of immediate initiation of ART, such as prolonged survival and AIDS-free survival and increased virological suppression, were small in this high-income setting with relatively low CD4 count at HIV diagnosis. The estimated beneficial effect on AIDS is less than in recently reported randomised trials. Increasing rates of HIV testing might be as important as a policy of early initiation of ART.

FUNDING: National Institutes of Health.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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