{"title":"Prediction of cardiovascular disease risk using biomarkers in blood.","authors":"Sruthi Vempatapu, Daleena Prathiba Madda, Akhil N, Kongara Sree Nischal Chowdary","doi":"10.6026/973206300211547","DOIUrl":null,"url":null,"abstract":"<p><p>Prediction of cardiovascular disease risk using biomarkers in blood is of interest. Hence, evaluation of blood biomarkers as predictors of cardiovascular disease (CVD) among 300 participants is completed. C-reactive protein (CRP), Troponin I, LDL, HDL, and IL-6 levels were measured, showing significant differences between CVD and non-CVD groups. CRP and Troponin I demonstrated the highest predictive accuracy with AUCs of 0.89 and 0.85. A combined model using CRP, Troponin I, and LDL showed 88% sensitivity and 84% specificity. These biomarkers may aid early CVD detection and risk stratification in clinical practice.</p>","PeriodicalId":8962,"journal":{"name":"Bioinformation","volume":"21 6","pages":"1547-1550"},"PeriodicalIF":1.9000,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12449538/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bioinformation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.6026/973206300211547","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Prediction of cardiovascular disease risk using biomarkers in blood is of interest. Hence, evaluation of blood biomarkers as predictors of cardiovascular disease (CVD) among 300 participants is completed. C-reactive protein (CRP), Troponin I, LDL, HDL, and IL-6 levels were measured, showing significant differences between CVD and non-CVD groups. CRP and Troponin I demonstrated the highest predictive accuracy with AUCs of 0.89 and 0.85. A combined model using CRP, Troponin I, and LDL showed 88% sensitivity and 84% specificity. These biomarkers may aid early CVD detection and risk stratification in clinical practice.