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Title

Risk stratification of deep vein thrombosis using caprini score among post-operative patients

 

Authors

Robin Abraham1, B. Mahalakshmi2, * & N. Siva Subramanian3

 

Affiliation

1Department of Medical & Surgical Nursing, Nootan College of Nursing, Sankalchand Patel University, Visnagar, Gujarat, India; 2Department of Pediatric Nursing, Nootan College of Nursing, Sankalchand Patel University, Visnagar, Gujarat, India; 3Department of Psychiatric Nursing, Nootan College of Nursing, Sankalchand Patel University, Visnagar, Gujarat, India; *Corresponding author

 

Email

Robin Abraham - E - mail: robycoo189@gmail.com
B. Mahalakshmi - E - mail: mb.fn@spu.ac.in
N Sivasubramanian - E - mail: sn.fn@spu.ac.in

 

Article Type

Research Article

 

Date

Received September 1, 2025; Revised September 30, 2025; Accepted September 30, 2025, Published September 30, 2025

 

Abstract

The analysis of risk stratification of deep vein thrombosis (DVT) among 120 post-operative patients in critical care units using the Modified Caprini Risk Assessment Tool is of interest. Most participants (over 80%) in both experimental and control groups were categorized as high risk for DVT. Statistical analysis revealed significant associations between higher Caprini scores and clinical variables such as age, BMI, mobility limitation, emergency surgery, central venous catheter presence, swollen leg, and longer surgical duration (p < 0.05). Demographic variables like gender, income, and dietary habits showed no significant association. Thus, we show the Caprini score as an effective tool for identifying high-risk patients who may benefit from early intervention. This study underscores the importance of pre-operative risk profiling to guide targeted DVT prevention strategies in critical care settings.

 

Keywords

Deep vein thrombosis, Caprini score, risk assessment, post-operative patients, critical care, clinical predictors, stratification

 

Citation

Abraham et al. Bioinformation 21(9): 3359-3362 (2025)

 

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.