Accounting for leadtime in cohort studies: evaluating when to initiate HIV therapies
- 18 October 2004
- journal article
- research article
- Published by Wiley in Statistics in Medicine
- Vol. 23 (21) , 3351-3363
- https://doi.org/10.1002/sim.1579
Abstract
Commonly reported comparisons of differences in disease progression according to disease staging at therapy initiation may be subject to bias if they do not account for the time it took the deferred group to reach the latter stage (that is, leadtime) and for previous events in those who initiate therapy at late stage (that is, unseen fast progressors). To estimate the impact of deferring initiation of highly active antiretroviral therapies (HAART) on time to clinical AIDS in the context of data from observational cohort studies, we describe a method that capitalizes on data from a pre‐HAART period to multiply impute estimated leadtimes and the unseen events among fast progressors. After accounting for leadtime and the unseen events, data from two large cohort studies (N=739) indicate that deferring HAART initiation until CD4 is below 200 cells/mm3was detrimental compared to initiating between 201 and 350 (hazard ratio=1.97; 95 percent confidence interval [CI] 1.09, 3.54), and that failure to account for leadtime resulted in a 38 per cent higher hazard ratio. In contrast, initiating HAART between 201 and 350 did not increase the hazard of AIDS compared to initiating with CD4 between 351 and 500cells/mm3(hazard ratio=0.70; 95 per cent CI 0.35, 1.42). Methods presented here offer an approach to analysing prevalent cohort studies and provide procedures to maximize the usefulness of observational data. Copyright © 2004 John Wiley & Sons, Ltd.Keywords
This publication has 25 references indexed in Scilit:
- Virologic and immunologic values allowing safe deferral of antiretroviral therapyAIDS, 2002
- The Womenʼs Interagency HIV StudyEpidemiology, 1998
- A Controlled Trial of Two Nucleoside Analogues plus Indinavir in Persons with Human Immunodeficiency Virus Infection and CD4 Cell Counts of 200 per Cubic Millimeter or LessNew England Journal of Medicine, 1997
- Gender, ethnicity and transmission category variation in HIV disease progressionAIDS, 1996
- The unseen sample in cohort studies: Estimation of its size and effectStatistics in Medicine, 1991
- Quality control in the flow cytometric measurement of T-lymphocyte subsets: The Multicenter AIDS Cohort Study experienceClinical Immunology and Immunopathology, 1990
- THE MULTICENTER AIDS COHORT STUDY: RATIONALE, ORGANIZATION, AND SELECTED CHARACTERISTICS OF THE PARTICIPANTSAmerican Journal of Epidemiology, 1987
- Identifiability, Exchangeability, and Epidemiological ConfoundingInternational Journal of Epidemiology, 1986
- The need for randomization in the study of intended effectsStatistics in Medicine, 1983