Accounting for leadtime in cohort studies: evaluating when to initiate HIV therapies.
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/mm3 was 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 500 cells/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.
Cole
Stephen R
SR
Department of Epidemiology, Johns Hopkins University, Baltimore, MD 21205, USA. scole@jhsph.edu
Li
Rui
R
Anastos
Kathryn
K
Detels
Roger
R
Young
Mary
M
Chmiel
Joan S
JS
Muñoz
Alvaro
A
D000328:Adult; D023241:Antiretroviral Therapy, Highly Active / Q000379:methods*; D018791:CD4 Lymphocyte Count; D015331:Cohort Studies; D018450:Disease Progression; D005260:Female; D006678:HIV / Q000254:growth & development*; D015658:HIV Infections / Q000188:drug therapy*; D006801:Humans; D008297:Male; D015337:Multicenter Studies as Topic; D012367:RNA, Viral / Q000097:blood; D013223:Statistics as Topic / Q000379:methods*; D013997:Time Factors
D012367:RNA, Viral