Predicting death over 8 years in a prospective cohort of HIV-infected women: the Women's Interagency HIV Study

BMJ Open. 2017 Jun 30;7(6):e013993. doi: 10.1136/bmjopen-2016-013993.

Abstract

Objectives: Predicting mortality in middle-aged HIV-infected (HIV+) women on antiretroviral therapies (ART) is important for understanding the impact of HIV infection. Several health indices have been used to predict mortality in women with HIV infection. We evaluated: (1) an HIV biological index, Veterans Aging Cohort Study (VACS); (2) a physical index, Fried Frailty Index (FFI); and (3) a mental health index, Center for Epidemiologic Studies-Depression (CES-D). Proportional hazards regression analyses were used to predict death and included relevant covariates.

Design: Prospective, observational cohort.

Setting: Multicentre, across six sites in the USA.

Participants: 1385 multirace/ethnic ART-experienced HIV+ women in 2005.

Primary and secondary outcomes: All deaths, AIDS deaths and non-AIDS deaths up to ~8 years from baseline.

Results: Included together in one model, VACS Index was the dominant, significant independent predictor of all deaths within 3 years (HR=2.20, 95% CI 1.83, 2.65, χ2=69.04, p<0.0001), and later than 3 years (HR=1.55, 95% CI 1.30, 1.84, χ2=23.88, p<0.0001); followed by FFI within 3 years (HR=2.06, 95% CI 1.19, 3.57, χ2=6.73, p=0.01) and later than 3 years (HR=2.43, 95% CI 1.58, 3.75, χ2=16.18, p=0.0001). CES-D score was not independently associated with mortality.

Conclusions and relevance: This is the first simultaneous evaluation of three common health indices in HIV+ adults. Indices reflecting physical and biological ageing were associated with death.

Keywords: Ageing; Frailty; HCV; HIV.

Publication types

  • Multicenter Study
  • Validation Study

MeSH terms

  • Adult
  • Antiretroviral Therapy, Highly Active*
  • Comorbidity
  • Female
  • HIV Infections / drug therapy
  • HIV Infections / mortality*
  • Humans
  • Life Expectancy*
  • Longitudinal Studies
  • Middle Aged
  • Multivariate Analysis
  • Proportional Hazards Models
  • Prospective Studies
  • Risk Assessment / standards*
  • United States / epidemiology