Evidence map›Paper›PMID 41088240›Full record

ArticleThrombosis journal2025

Combination of antithrombin and soluble thrombomodulin for early prediction of sepsis-Induced disseminated intravascular coagulation.

Huan Zeng, Jianming Wei, Jiujiang Zeng, Yuexi Sun, Mengmeng Wang, Guoxing Dai, Yanli Song

Abstract read
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Article in Thrombosis journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Huan ZengDepartment of Emergency Medicine, Tongji Hospital, School of Medicine, Tongji University , Shanghai, 200065, China.
Jianming WeiDepartment of Emergency Medicine, Tongji Hospital, School of Medicine, Tongji University , Shanghai, 200065, China.
Jiujiang ZengDepartment of Emergency Medicine, Tongji Hospital, School of Medicine, Tongji University , Shanghai, 200065, China.
Yuexi SunDepartment of Emergency Medicine, Tongji Hospital, School of Medicine, Tongji University , Shanghai, 200065, China.
Mengmeng WangDepartment of Emergency Medicine, Tongji Hospital, School of Medicine, Tongji University , Shanghai, 200065, China.
Guoxing DaiDepartment of Emergency Medicine, Tongji Hospital, School of Medicine, Tongji University , Shanghai, 200065, China.
Yanli SongDepartment of Emergency Medicine, Tongji Hospital, School of Medicine, Tongji University , Shanghai, 200065, China. songyanli@tongji.edu.cn.

Funding

Emergency and Critical Illness Important Weak Discipline Project of Shanghai Municipal Health Commission 2016ZB0204TCM Guidance Project of Shanghai Science and Technology Commission 19401930700
6 · The paper itself

Abstract

backgroundTo identify early diagnostic biomarkers for sepsis-induced disseminated intravascular coagulation, we investigated the relationship between the novel coagulation biomarkers and antithrombin with the development of Disseminated intravascular coagulation post-admission, as well as the prognosis of patients with sepsis.

methodsWe retrospectively collected data from septic patients admitted to the Emergency Intensive Care Unit (EICU) of a teaching hospital between October 2021 and September 2023. Multivariate logistic regression analysis was performed to identify risk factors, and receiver operating characteristic (ROC) curve analysis was used to assess the performance of the predictive model. In addition, non-parametric bootstrap analysis with 1,000 replications was conducted to evaluate the internal stability and empirical power of the predictive models, particularly given the limited sample size.

resultsAmong 91 septic patients, 15 were diagnosed with DIC. Soluble thrombomodulin (OR: 1.28, 95% CI: 1.033-1.586, P = 0.024) and antithrombin activity (OR: 0.887, 95% CI: 0.792-0.994, P = 0.039) were identified as independent risk factors for the development of DIC in septic patients. The area under the curve (AUC) for soluble thrombomodulin and antithrombin was 0.788 and 0.757, respectively. When combined, the AUC increased to 0.858. Prothrombin Time (HR: 1.058, 95% CI: 1.016-1.102, P = 0.007) and APACHE II score (HR: 1.071, 95% CI: 1.005-1.141, P = 0.035) were identified as independent risk factors for 28-day mortality in septic patients. When combined, the AUC increased to 0.834. Bootstrap validation demonstrated strong discriminatory performance of both models, with a mean bootstrap AUC of 0.865 (empirical power = 0.994) for the DIC prediction model, and 0.836 (empirical power = 0.996) for the 28-day mortality model, further supporting the robustness and reliability of the findings despite the small sample size.

conclusionElevated soluble thrombomodulin and decreased antithrombin may be associated with the early onset of disseminated intravascular coagulation in sepsis, but showed limited predictive value for 28-day mortality.

Indexed as

AntithrombinDisseminated intravascular coagulation (DIC)SepsisSoluble Thrombomodulin

Identifiers

PMID41088240
PMCPMC12522258

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.