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Title

Impact of comorbidities on D-dimer and CRP in covid-19 patients: A comparative retrospective analysis

 

Authors

Jyoti Shukla¹,*, Ritesh Yadav², Girish Dubey², Pankaj Sharma³& Nishant Singh Verma³

 

Affiliation

¹Department of Biochemistry, Shrimant Rajmata Vijayaraje Scindia Medical College, Shivpuri, Madhya Pradesh, India; ²Department of General Medicine, Shrimant Rajmata Vijayaraje Scindia Medical College, Shivpuri, Madhya Pradesh, India; ³Department of Orthopaedics, Shrimant Rajmata Vijayaraje Scindia Medical College, Shivpuri, Madhya Pradesh, India; *Corresponding author

 

Email

Jyoti Shukla - E-mail: jsa2biochem@gmail.com
Ritesh Yadav - E-mail: dr.ritesh_123@yahoo.co.in
Girish Dubey - E-mail: drgirishdubey@gmail.com
Pankaj Sharma - E-mail: doctor.pankaj2007@gmail.com
Nishant Singh Verma - E-mail: dr.nishantsinghverma@gmail.com

 

Article Type

Research Article

 

Date

Received February 1, 2026; Revised February 28, 2026; Accepted February 28, 2026, Published February 28, 2026

 

Abstract

The coronavirus disease 2019 (COVID-19) pandemic has posed significant challenges to healthcare systems, with inflammatory biomarkers emerging as important prognostic indicators. Therefore, it is of interest to evaluate the correlation between comorbidity burden and inflammatory markers—C-reactive protein (CRP) and D-dimer-in 100 hospitalized COVID-19 patients at a tertiary care center in Madhya Pradesh, India. Patients were categorized as non-comorbid (n=31), comorbid (n=30) and multimorbid (n=39), with a mean age of 53.18 ± 15.48 years and male predominance (63%). D-dimer and CRP levels were significantly higher in multimorbid patients compared to comorbid and non-comorbid groups (p<0.05). Thus, we show the importance of monitoring inflammatory biomarkers in COVID-19 patients with comorbidities for early identification of disease progression and targeted therapeutic intervention.

 

Keywords

COVID-19, D-dimer, C-reactive protein (CRP), comorbidities, inflammatory markers

 

Citation

Shukla et al. Bioinformation 22(2): 960-965 (2026)

 

Edited by

Hiroj Bagde

 

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.