Literature DB >> 9146433

The Boston AIDS Survival Score (BASS): a multidimensional AIDS severity instrument.

G R Seage1, C Gatsonis, J S Weissman, J S Haas, P D Cleary, F J Fowler, M P Massagli, V E Stone, D E Craven, H Makadon, J Goldberg, K Coltin, K S Levin, A M Epstein.   

Abstract

OBJECTIVES: This study developed a new acquired immunodeficiency syndrome (AIDS) severity system by including diagnostic, physiological, functional, and sociodemographic 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.

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Year:  1997        PMID: 9146433      PMCID: PMC1380834          DOI: 10.2105/ajph.87.4.567

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  16 in total

1.  Some methodological lessons for surveys of persons with AIDS.

Authors:  F J Fowler; M P Massagli; J Weissman; G R Seage; P D Cleary; A Epstein
Journal:  Med Care       Date:  1992-11       Impact factor: 2.983

2.  The role of functional status in predicting inpatient mortality with AIDS: a comparison with current predictors.

Authors:  A C Justice; L H Aiken; H L Smith; B J Turner
Journal:  J Clin Epidemiol       Date:  1996-02       Impact factor: 6.437

3.  Logarithmic relationship of the CD4 count to survival in patients with human immunodeficiency virus infection.

Authors:  S D Nightingale; J D Jockusch; I Haslund; S X Cal; D M Peterson; S D Loss
Journal:  Arch Intern Med       Date:  1993-06-14

4.  Health status as a predictor of mortality in rheumatoid arthritis: a five-year study.

Authors:  L E Kazis; J J Anderson; R F Meenan
Journal:  J Rheumatol       Date:  1990-05       Impact factor: 4.666

5.  Health-related quality of life in persons with acquired immune deficiency syndrome.

Authors:  P D Cleary; F J Fowler; J Weissman; M P Massagli; I Wilson; G R Seage; C Gatsonis; A Epstein
Journal:  Med Care       Date:  1993-07       Impact factor: 2.983

6.  Survival trends for patients with AIDS.

Authors:  G F Lemp; S F Payne; D Neal; T Temelso; G W Rutherford
Journal:  JAMA       Date:  1990-01-19       Impact factor: 56.272

7.  Functional status of persons with HIV infection in an ambulatory setting.

Authors:  D L Stanton; A W Wu; R D Moore; S C Rucker; M P Piazza; J E Abrams; R E Chaisson
Journal:  J Acquir Immune Defic Syndr (1988)       Date:  1994-10

8.  Correlates of employment after AIDS diagnosis in the Boston Health Study.

Authors:  M P Massagli; J S Weissman; G R Seage; A M Epstein
Journal:  Am J Public Health       Date:  1994-12       Impact factor: 9.308

9.  The relation between hospital experience and mortality for patients with AIDS.

Authors:  V E Stone; G R Seage; T Hertz; A M Epstein
Journal:  JAMA       Date:  1992-11-18       Impact factor: 56.272

10.  Survival with AIDS in Massachusetts, 1979 to 1989.

Authors:  G R Seage; S Oddleifson; E Carr; B Shea; L Makarewicz-Robert; M van Beuzekom; A De Maria
Journal:  Am J Public Health       Date:  1993-01       Impact factor: 9.308

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  5 in total

1.  Anthropometric indices as predictors of survival in AIDS adults. Aquitaine Cohort, France, 1985-1997. Groupe d'Epidémiologie Clinique du Sida en Aquitaine (GECSA).

Authors:  R Thiébaut ; D Malvy; C Marimoutou; F Davis
Journal:  Eur J Epidemiol       Date:  2000       Impact factor: 8.082

2.  A randomized double-blind study of the effect of distant healing in a population with advanced AIDS. Report of a small scale study.

Authors:  F Sicher; E Targ; D Moore; H S Smith
Journal:  West J Med       Date:  1998-12

3.  Annotation: wanted--a simple and meaningful HIV staging system.

Authors:  W el-Sadr; J D Neaton
Journal:  Am J Public Health       Date:  1997-04       Impact factor: 9.308

4.  Satisfaction with ambulatory care of persons with AIDS: predictors of patient ratings of quality.

Authors:  V E Stone; J S Weissman; P D Cleary
Journal:  J Gen Intern Med       Date:  1995-05       Impact factor: 5.128

5.  How well do clinicians estimate patients' adherence to combination antiretroviral therapy?

Authors:  Loren G Miller; Honghu Liu; Ron D Hays; Carol E Golin; C Keith Beck; Steven M Asch; Yingying Ma; Andrew H Kaplan; Neil S Wenger
Journal:  J Gen Intern Med       Date:  2002-01       Impact factor: 5.128

  5 in total

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