Title | Long-term HIV/AIDS survival estimation in the highly active antiretroviral therapy era. |
Publication Type | Journal Article |
Year of Publication | 2003 |
Authors | King, Joseph T., Amy C. Justice, Mark S. Roberts, Chung-Chou H. Chang, and Jennifer S. Fusco |
Corporate Authors | Collaboration in HIV Outcomes Research-US Program Team |
Journal | Medical decision making : an international journal of the Society for Medical Decision Making |
Volume | 23 |
Issue | 1 |
Pagination | 9-20 |
Date Published | 2003 Jan-Feb |
ISSN | 0272-989X |
Keywords | Adult, 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 |
Abstract | Highly 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 Journal | Med Decis Making |