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Title

Prediction of cardiovascular disease risk using biomarkers in blood

 

Authors

Sruthi Vempatapu1, Daleena Prathiba Madda*,2, N Akhil3, Kongara Sree Nischal Chowdary4

 

Affiliation

1Department of Emergency Medicine, Yashoda hospitals, Hyderabad, Telangana, India; 2Department of General Medicine, New Vara Hospital, Hyderabad, Telangana, India; 3Department of General Medicine, Kakatiya Medical College, Warangal, Telangana, India; 4Department of General Medicine, Dr.Pinnamaneni Siddhartha Institute of Medical Sciences & Research Foundation, Chinna Avutapalli, Vijayawada, Andhra Pradesh, India; *Corresponding author

 

Email

Sruthi Vempatapu - E - mail: sruthishri.ss22@gmail.com
Daleena Prathiba Madda - E - mail: daleenaprathiba@gmail.com
N Akhil - E - mail: akhilchrn067@gmail.com
Kongara Sree Nischal Chowdary - E - mail: kongarasreenischal@gmail.com
 

Article Type

Research Article

 

Date

Received June 30, 2025; Revised June 30, 2025; Accepted June 30, 2025, Published June 30, 2025

 

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.

 

Keywords

Cardiovascular disease, CRP, Troponin I, LDL cholesterol, IL-6, Biomarkers, Risk prediction.

 

Citation

Vempatapu et al. Bioinformation 21(6): 1547-1550 (2025)

 

Edited by

Hiroj Bagde MDS, (PhD), PGDCR, PGDHHM, PGDL, PGDM

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.