Development and Validation of a Mortality Risk Prediction Index Score for Adults Living with HIV and Multiple Chronic Comorbidities
Introduction Aging while living with HIV poses new challenges in clinical management, mainly due to the onset of multiple chronic comorbidities. Population-specific risk prediction indices considering comorbidities and other risk factors are essential to comprehensively characterise disease burden...
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| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Swansea University
2025-06-01
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| Series: | International Journal of Population Data Science |
| Subjects: | |
| Online Access: | https://ijpds.org/article/view/2926 |
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| Summary: | Introduction
Aging while living with HIV poses new challenges in clinical management, mainly due to the onset of multiple chronic comorbidities. Population-specific risk prediction indices considering comorbidities and other risk factors are essential to comprehensively characterise disease burden among PLWH. We developed and validated a mortality risk prediction index i to predict the risk of one-year all-cause mortality among people living with HIV (PLWH).
Methods
Participants were ≥18 years and had initiated antiretroviral therapy (ART) between 01/2001 and 12/2018, in British Columbia, Canada. The index date was randomly selected between one-year post-ART initiation and the end of the follow-up. Participants were followed for at least one year from the index date until 12/2019, the last contact date, or the date of death (all-cause), whichever came first. The MRPi included 18 physical/mental comorbidities, demographic and clinical variables, and ranged from 0 (no risk) to 100 (highest risk).
Results
The final model demonstrated the highest discrimination (c-statistic 0.8355, 95% CI: 0.8187-0.8523 in the training dataset and 0.7965, 95% CI: 0.7664-0.8266 in the test dataset). The comorbidities with the highest weights in the MRPi were substance use disorders, metastatic solid tumors and non-AIDs defining cancers. For example, for an MRPi of 30, the predicted one-year all-cause mortality was 0.2%, while an MRPi of 50 had a predicted mortality of 2.3%.
Conclusions
The MRPi provides a promising tool to assess the risk of short-term mortality among PLWH in the modern ART era that can inform clinical practice and health policy decisions.
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| ISSN: | 2399-4908 |