Work

Biomarkers and clinical factors associated with sepsis-induced coagulopathy: A systematic review and meta-analysis

Year: 2026

Type: review

Study designs: Systematic Review, Meta-Analysis

Abstract: Objective Sepsis-induced coagulopathy (SIC) is a life-threatening complication that significantly impacts patient prognosis. This systematic review and meta-analysis aimed to evaluate clinical and biological indicators associated with the development of SIC to facilitate early risk identification. Methods We searched nine databases for studies reporting predictive factors for SIC. Data were pooled using random-effects or fixed-effects models as appropriate. Methodological quality was assessed using the Newcastle-Ottawa Scale. Results A total of 34 studies involving 37,459 patients were included. Meta-analysis revealed that several markers showed a significant association with SIC. Glycocalyx degradation emerged as a strong predictor ( OR = 11.85, 95% CI: 8.59–16.34). Other associated markers included reduced Fibrinogen ( OR = 4.35, 95% CI: 2.47–7.69), Albumin ( OR = 2.5, 95% CI: 1.82–3.45), Neutrophil Extracellular Traps ( OR = 2.4, 95% CI: 1.81–3.19), increased circulating Microparticles ( OR = 1.61, 95% CI: 1.33–1.95), elevated Lactate( OR = 1.18, 95% CI: 1.13–1.23) and Thrombomodulin ( OR = 1.10, 95% CI: 0.97–1.26), Procalcitonin, APACHE II score and C-reactive protein were also demonstrated predictive value for SIC occurrence. Conclusion Our findings identify multiple biological and clinical predictors associated with SIC. However, these results should be interpreted as statistical associations rather than direct causal links. These markers may assist clinicians in early recognition of high-risk patients, though further prospective trials are needed to confirm their clinical utility. Registration This study was registered on the PROSPERO (CRD420250653820).

Source: Science Progress

DOI: 10.1177/00368504261435291

Authors: Wei You, Xiaoyu Fan, Ping Xu, Cheng Lei, Yanli Zeng

Institutions: Chengdu University of Traditional Chinese Medicine, University of Electronic Science and Technology of China

Language: English

Topic: Sepsis Diagnosis and Treatment

Subfield: Epidemiology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,650