Viviane D Lima, Bronhilda T Takeh, Neil Faught, Hasan Nathani, Jielin Zhu, Scott Emerson, Katerina Dolguikh, Jason Trigg, Kate A Salters, Rolando Barrios, Julio S G Montaner
{"title":"艾滋病毒和多种慢性合并症成人死亡风险预测指数评分的开发和验证","authors":"Viviane D Lima, Bronhilda T Takeh, Neil Faught, Hasan Nathani, Jielin Zhu, Scott Emerson, Katerina Dolguikh, Jason Trigg, Kate A Salters, Rolando Barrios, Julio S G Montaner","doi":"10.23889/ijpds.v10i2.2926","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>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 (MRP<i>i</i>) to predict the risk of one-year all-cause mortality among people living with HIV (PLWH).</p><p><strong>Methods: </strong>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 MRP<i>i</i> included 18 physical/mental comorbidities, demographic and clinical variables, and ranged from 0 (no risk) to 100 (highest risk).</p><p><strong>Results: </strong>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 MRP<i>i</i> were substance use disorders, metastatic solid tumors and non-AIDs defining cancers. For example, for an MRP<i>i</i> of 30, the predicted one-year all-cause mortality was 0.2%, while an MRP<i>i</i> of 50 had a predicted mortality of 2.3%.</p><p><strong>Conclusions: </strong>The MRP<i>i</i> 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.</p>","PeriodicalId":36483,"journal":{"name":"International Journal of Population Data Science","volume":"10 2","pages":"2926"},"PeriodicalIF":1.6000,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12212411/pdf/","citationCount":"0","resultStr":"{\"title\":\"Development and validation of a mortality risk prediction index score for adults living with HIV and multiple chronic comorbidities.\",\"authors\":\"Viviane D Lima, Bronhilda T Takeh, Neil Faught, Hasan Nathani, Jielin Zhu, Scott Emerson, Katerina Dolguikh, Jason Trigg, Kate A Salters, Rolando Barrios, Julio S G Montaner\",\"doi\":\"10.23889/ijpds.v10i2.2926\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>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 (MRP<i>i</i>) to predict the risk of one-year all-cause mortality among people living with HIV (PLWH).</p><p><strong>Methods: </strong>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 MRP<i>i</i> included 18 physical/mental comorbidities, demographic and clinical variables, and ranged from 0 (no risk) to 100 (highest risk).</p><p><strong>Results: </strong>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 MRP<i>i</i> were substance use disorders, metastatic solid tumors and non-AIDs defining cancers. For example, for an MRP<i>i</i> of 30, the predicted one-year all-cause mortality was 0.2%, while an MRP<i>i</i> of 50 had a predicted mortality of 2.3%.</p><p><strong>Conclusions: </strong>The MRP<i>i</i> 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.</p>\",\"PeriodicalId\":36483,\"journal\":{\"name\":\"International Journal of Population Data Science\",\"volume\":\"10 2\",\"pages\":\"2926\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2025-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12212411/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Population Data Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23889/ijpds.v10i2.2926\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Population Data Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23889/ijpds.v10i2.2926","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
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 among PLWH. We developed and validated a mortality risk prediction index (MRPi) 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.