ArticleCells2023
Development and Validation of the HIV-CARDIO-PREDICT Score to Estimate the Risk of Cardiovascular Events in HIV-Infected Patients.
Article in Cells, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Algorithmic indexing in MEDLINE frequently overlooks important concepts and may compromise literature search results.Journal of the Medical Library Association : JMLA · 2025Article
- [Cardiovascular compromise in the infection by the human immunodeficiency virus].Archivos peruanos de cardiologia y cirugia cardiovascularReview
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
importanceCommonly used risk assessment tools for cardiovascular disease might not be accurate for HIV-infected patients.
objectiveWe aimed to develop a model to accurately predict the 10-year cardiovascular disease (CV) risk of HIV-infected patients.
designIn this retrospective cohort study, adult HIV-infected patients seen at Boston Medical Center between March 2012 and January 2017 were divided into model development and validation cohorts.
settingBoston Medical Center, a tertiary, academic medical center.
participantsAdult HIV-infected patients, seen in inpatient and outpatient setting. MAIN OUTCOMES AND MEASURES: We used logistic regression to create a prediction risk model for cardiovascular events using data from the development cohort. Using a point-based risk-scoring system, we summarized the relationship between risk factors and cardiovascular disease (CVD) risk. We then used the area under the receiver operating characteristics curve (AUC) to evaluate model discrimination. Finally, we tested the model using a validation cohort.
results1914 individuals met the inclusion criteria. The model had excellent discrimination for CVD risk [AUC 0.989; (95% CI: 0.986-0.993)] and included the following 11 variables: male sex (95% CI: 2.53-3.99), African American race/ethnicity (95% CI: 1.50-3.13), current age (95% CI: 0.07-0.13), age at HIV diagnosis (95% CI: -0.10-(-0.02)), peak HIV viral load (95% CI: 9.89 × 10 CONCLUSIONS AND RELEVANCE: Our novel HIV-CARDIO-PREDICT Score may provide a rapid and accurate evaluation of CV disease risk among HIV-infected patients and inform prevention measures.
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