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Title

Red cell distribution width and platelet indices as predictors of mortality in acute coronary syndrome: A prospective observational study

 

Authors

Hariom Gupta1, Umesh Pratap Singh1, V. D. Tripathi2 & Subhash Shukla1,*

 

Affiliation

1Department of General Medicine, Shyam Shah Medical College and Associated Sanjay Gandhi Memorial Hospital, Rewa, Madhya Pradesh, India; 2Department of Cardiology, Super Specialty Hospital Block, Shyam Shah Medical College, Rewa, Madhya Pradesh, India; *Corresponding author

 

Email

Hariom Gupta - E-mail: guptadr.hariom@yahoo.co.in; Phone: +91 9425158428

Umesh Pratap Singh - E-mail: upsingh87@gmail.com; Phone: +91 9136464178

V. D. Tripathi - E-mail: drvdtripathi@hotmail.com; Phone: +91 9300920091

Subhash Shukla - E-mail: subhashshukla234@gmail.com; Phone: +91 7049025406

 

Article Type

Research Article

 

Date

Received April 1, 2026; Revised April 30, 2026; Accepted April 30, 2026, Published April 30, 2026
 

 

Abstract

Acute Coronary Syndrome (ACS) is a leading cause of cardiovascular mortality and simple hematological markers may help predict outcomes. Baseline laboratory parameters were recorded and patients were followed for in-hospital mortality and ICU requirement in this prospective study of 140 ACS patients admitted during 2024,. The mean age was 59.3±10.7 years, with 65.7% males, and adverse outcomes occurred in 8.6%. Non-survivors had significantly higher RDW, mean platelet volume (MPV) and platelet distribution width (PDW). RDW-SD showed the highest predictive accuracy, followed by NLR and RDW-CV. Multivariate analysis identified creatinine, RDW, PDW, NLR, MPV, and urea as independent mortality predictors, while higher hemoglobin was protective, supporting the role of routine, low-cost markers in early ACS risk stratification.

 

Keywords

ACS, red cell distribution width, mean platelet volume, platelet distribution width, platelet count, cardiovascular outcome

 

Citation

Gupta et al. Bioinformation 22(4): 2592-2597 (2026)

 

Edited by

P Kangueane

 

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.