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 1, 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.