Yale University

Long-term HIV/AIDS survival estimation in the highly active antiretroviral therapy era.

TitleLong-term HIV/AIDS survival estimation in the highly active antiretroviral therapy era.
Publication TypeJournal Article
Year of Publication2003
AuthorsKing, Joseph T., Amy C. Justice, Mark S. Roberts, Chung-Chou H. Chang, and Jennifer S. Fusco
Corporate AuthorsCollaboration in HIV Outcomes Research-US Program Team
JournalMedical decision making : an international journal of the Society for Medical Decision Making
Volume23
Issue1
Pagination9-20
Date Published2003 Jan-Feb
ISSN0272-989X
KeywordsAdult, Antiretroviral Therapy, Highly Active, Computer Simulation, Decision Support Techniques, Female, HIV Infections, Humans, Male, Markov Chains, Monte Carlo Method, Sensitivity and Specificity, Survival Analysis, Survival Rate, Treatment Failure, United States
AbstractHighly active antiretroviral therapy (HAART) prolongs short-term survival in patients with HIV/AIDS. HAART has only been available since 1996; thus, no long-term survival data are available. Computer simulation models extrapolating short-term survival data can provide estimates of long-term survival. These survival estimates may assist patients and clinicians in HAART treatment planning. The authors construct a computer simulation model based on observational data to estimate long-term survival in a cohort of HIV/AIDS patients undergoing treatment with HAART.
Alternate JournalMed Decis Making

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