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Discrimination of the Veterans Aging Cohort Study Index 2.0 for predicting cause-specific mortality among persons with HIV in Europe and North America

Research output: Contribution to journal › Article (Academic Journal) › peer-review

6 Citations (Scopus)

Abstract

Background:
Predicting cause-specific mortality among people with HIV (PWH) could facilitate targeted care to improve survival. We assessed discrimination of the Veterans Aging Cohort Study (VACS) Index 2.0 in predicting cause-specific mortality among PWH on antiretroviral therapy (ART).

Methods:
Using Antiretroviral Therapy Cohort Collaboration data for PWH who initiated ART between 2000 and 2018, VACS Index 2.0 scores (higher scores indicate worse prognosis) were calculated around a randomly selected visit date at least 1-year after ART initiation. Missingness in VACS Index 2.0 variables was addressed through multiple imputation. Cox models estimated associations between VACS Index 2.0 and causes of death, with discrimination evaluated using Harrell’s C-statistic. Absolute mortality risk was modelled using flexible parametric survival models.

Results:
Of 59,741 PWH (mean age: 43 years; 80% male), the mean VACS Index 2.0 at baseline was 41 (range: 0-129). For 2,425 deaths over 168,162 person-years follow-up (median 2.6 years/person), AIDS (n=455) and non-AIDS-defining cancers (n=452) were the most common causes. Predicted 5-year mortality for PWH with a mean VACS Index 2.0 score of 38 at baseline was 1% and approximately doubled for every 10-unit increase. The five-year all-cause mortality C-statistic was 0.83. Discrimination with the VACS Index 2.0 was highest for deaths due to AIDS (0.91), liver-related (0.91), respiratory-related (0.89), non-AIDS infections (0.87), and non-AIDS-defining cancers (0.83), and lowest for suicides/accidental deaths (0.65).

Conclusion:
For deaths among PWH, discrimination with the VACS Index 2.0 was highest for deaths with measurable physiological causes and was lowest for suicide/accidental deaths.
Original languageEnglish
Article numberofae333
Number of pages9
JournalOpen Forum Infectious Diseases
Volume11
Issue number7
Early online date17 Jun 2024
DOIs
Publication statusPublished - 1 Jul 2024

Bibliographical note

Publisher Copyright:
© The Author(s) 2024.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • VACS
  • antiretroviral therapy
  • C-statistic
  • prognosis
  • absolute risk
  • multiple imputation

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