Abstract
Background. Serum albumin may be used to stratify human immunodeficiency virus (HIV)-infected persons with high CD4 count according to their risk of serious non-AIDS endpoints. Methods. Cox proportional hazards models were used to analyze the risk of serious non-AIDS events in the Strategic Timing of Antiretroviral Treatment (START) study (NCT00867048) with serum albumin as a fixed and time-updated predictor. Models with exclusion of events during initial follow-up years were built to assess the ability of serum albumin to predict beyond shorter periods of time. Secondarily, we considered hospitalizations and AIDS events. Results. Among 4576 participants, 71 developed a serious non-AIDS event, 788 were hospitalized, and 63 experienced an AIDS event. After adjusting for a range of variables associated with hypoalbuminemia, higher baseline serum albumin (per 1 g/dL) was associated with a decreased risk of serious non-AIDS events (hazard ratio, 0.37 [95% confidence interval, .20-.71]; P = .002). Similar results were obtained in a time-updated model, after controlling for interleukin 6, and after excluding initial follow-up years. Serum albumin was independently associated with hospitalization but not with risk of AIDS. Conclusions. A low serum albumin level is a predictor for short-A nd long-term serious non-AIDS events, and may be a useful marker of risk of noncommunicable diseases, particularly in resource-limited settings.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 405-412 |
| Number of pages | 8 |
| Journal | Journal of Infectious Diseases |
| Volume | 217 |
| Issue number | 3 |
| DOIs | |
| State | Published - Jan 17 2018 |
Bibliographical note
Publisher Copyright:© 2017 The Author(s).
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- HIV
- albumin
- biomarker
- non-AIDS comorbidity
- non-communicable disease
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