| Autor: |
Kathleen A. McGinnis, Amy C. Justice, Vincent C. Marconi, Maria C. Rodriguez-Barradas, Ronald G. Hauser, Krisann K. Oursler, Sheldon T. Brown, Kendall J. Bryant, Janet P. Tate, for the Veterans Aging Cohort Study |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
Frontiers in Medicine, Vol 10 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2296-858X |
| DOI: |
10.3389/fmed.2023.1342466 |
| Popis: |
IntroductionAs people age with HIV (PWH), many comorbid diseases are more common than among age matched comparators without HIV (PWoH). While the Veterans Aging Cohort (VACS) Index 2.0 accurately predicts mortality in PWH using age and clinical biomarkers, the only included comorbidity is hepatitis C. We asked whether adding comorbid disease groupings from the Charlson Comorbidity Index (CCI) improves the accuracy of VACS Index.MethodsTo maximize our ability to model mortality among older age groups, we began with PWoH in Veterans Health Administration (VA) from 2007–2017, divided into development and validation samples. Baseline predictors included age, and components of CCI and VACS Index (excluding CD4 count and HIV RNA). Patients were followed until December 31, 2021. We used Cox models to develop the VACS-CCI score and estimated mortality using a parametric (gamma) survival model. We compared accuracy using C-statistics and calibration curves in validation overall and within subgroups (gender, age |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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