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Title

Electrocardiographic and biochemical profile of acute coronary syndrome in hospitalized COVID-19 patients

 

Authors

Sandeep Aharwar1, Rajat Kumar Tuteja2, Pushpendra Singh Sengar3 & Dhruv Chowda4,*

 

Affiliation

1Department of Medicine, Atal Bihari Vajpayee Government Medical College, Vidisha, Madhya Pradesh, India; 2Department of General Medicine, Dr. S.N. Medical College, Jodhpur, Rajasthan, India; 3Department of Medicine, Bundelkhand Medical College & Hospital, Sagar, Madhya Pradesh, India; 4Department of Medicine, LN Medical College & JK Hospital, Bhopal, Madhya Pradesh, India; *Corresponding author

 

Email

Sandeep Aharwar - E-mail: sandeepaharwar31@rediffmail.com
Rajat Kumar Tuteja - E-mail: rajatktuteja09@gmail.com
Pushpendra Singh Sengar - E-mail: sengarpraveen007@gmail.com
Dhruv Chowda - E-mail: dhruv.chowda0393@gmail.com

 

Article Type

Research Article

 

Date

Received July 1, 2025; Revised July 31, 2025; Accepted July 31, 2025, Published July 31, 2025

 

Abstract

COVID-19 has been associated with the occurrence of acute coronary syndromes (ACS) and the medical and scientific communities consider the virus to put acute coronary syndromes (ACS) at risk because of its inflammatory and thrombotic effects. In a cross-sectional study of 100 hospitalized patients with COVID-19, 26 percent had ECG-confirmed ACS (16 percent STEMI/10 percent NSTEMI). The highest rates of elevated inflammatory and cardiac biomarkers occurred among older people, as well as diabetic and hypertensive patients. STEMI was substantially correlated to age >60 and increased fatality. It has become vital to detect cardiac involvement of COVID-19 at an early stage to diminish negative outcomes.

 

Keywords

COVID-19, acute coronary syndrome (ACS), ST-elevation myocardial infarction (STEMI), non-ST elevation myocardial infarction (NSTEMI), cardiac biomarkers, inflammation, mortality, D-dimer, CRP, Troponin-T

 

Citation

Aharwar et al. Bioinformation 21(7): 2065-2068 (2025)

 

Edited by

Vini Mehta

 

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.