Autor: |
Seage III, George R., Gatsonis, Constantine, Weissman, Joel S., Haas, Jennifer S., Cleary, Paul D., Fowler, Floyd J., Massagli, Michael P., Stone, Valerie E., Craven, Donald E., Makadon, Harvey, Goldberg, Joan, Coltin, Kathryn, Levin, Kimberly S., Epstein, Arnold M. |
Předmět: |
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Zdroj: |
American Journal of Public Health; Apr97, Vol. 87 Issue 4, p567-573, 7p, 5 Charts |
Abstrakt: |
Objectives. This study developed a new acquired immunodeficiency syndrome (AIDS) severity system by including diagnostic, physiological, functional, and socio-demographic factors predictive of survival. Methods. Three-hundred five persons with AIDS in Boston were interviewed; their medical records were reviewed and vital status ascertained. Results. Overall median (±SD) survival for the cohort from the first interview until death was 560 ± 14.4 days. The best model for predicting survival, the Boston AIDS Survival Score, included the Justice score (stage 2 relative hazard [RH] = 1.25, 95% confidence interval [CI] = 0.80, 1.96; stage 3 RH = 1.76, 95% CI = 1.15, 2.70), a newly developed opportunistic disease score (Boston Opportunistic Disease Survival Score; stage 2 RH = 1.35, 95% CI = 0.90, 2.02; stage 3 RH = 2.10, 95% CI = 1.38, 3.18), and measures of activities of daily living (any intermediate limitations, RH = 1.84, 95% CI = 1.05, 3.21; any basic limitations, RH = 2.60, 95% CI = 1.44, 4.69). This model had substantially greater predictive power (R² = .17, C statistic = .68) than the Justice score alone (R² = .09, C statistic = .61). Conclusions. Incorporating data on clinically important events and functional status into a physiologically based system can improve the prediction of survival with AIDS. [ABSTRACT FROM AUTHOR] |
Databáze: |
Complementary Index |
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