Document Type : Review Article

Authors

1 Trauma Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.

2 Department of Medical Education, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran

3 Student Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Khorasan Razavi, Iran

4 Trauma Research Center, Shahid Rajaee (Emtiaz) Trauma Hospital, Shiraz University of Medical Sciences, Shiraz, Fars, Iran

5 Department of Biostatistics, Faculty of Medicine, Shiraz University of Medical Sciences, Shiraz, Fars, Iran

6 Trauma Research Center, Shahid Rajaee (Emtiaz) Truama Hospital, Shiraz University of Medical Sciences, Shiraz, Iran.

10.30476/beat.2025.106988.1605

Abstract

Objectives: This study aimed to systematically review and quantify the association between D-dimer levels and injury outcomes in trauma patients through a meta-analysis.
Methods: A systematic literature search of PubMed, MEDLINE/PubMed, and Web of Science was conducted from 2011 to 2023, supplemented by manual reference list searches. Two independent reviewers assessed the risk of bias using the Newcastle-Ottawa Scale. The primary outcomes were mortality and deep vein thrombosis (DVT).
Results: Of 84 identified articles, 17 were eligible for full-text assessment, and 12 were included in the final analysis. A random-effects model was used to pool the study results. The analysis revealed a statistically significant difference in mean D-dimer levels between patients with poor outcomes and those without poor outcomes (p=0.0003). The standardized mean difference (SMD) was 0.51 (95% confidence interval [CI]:0.24 to 0.79). Furthermore, a significant difference in mean D-dimer levels was observed between survivors and non-survivors (p=0.03, SMD:0.42, 95% CI:0.04-0.79) and between patients with DVT and those without DVT (p=0.0008, SMD:0.79, 95% CI:0.32-1.25).
Conclusion: This meta-analysis indicated that elevated D-dimer levels upon admission could be a valuable prognostic marker in trauma patients and might help predict poor outcomes.

Keywords