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September 16, 2025Frontiers in MedicineOpen Access

Development and validation of a nomogram for early prediction of sepsis-induced coagulopathy: a multicenter study

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Authors

RTRuimin TanYZYi ZhouSZShuwei Zhang

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Overview

Retrospective analysis shows high AUC accuracy in predicting coagulopathy in sepsis patients, indicating clinical utility.

Key Points

  • The nomogram model predicts the early onset of sepsis-induced coagulopathy based on clinical variables.
  • In a study of 847 sepsis patients, 56.7% developed coagulopathy, showcasing its prevalence in ICU settings.
  • Utilizing logistic regression and ROC analysis, the model demonstrated strong predictive accuracy in multiple cohorts.
  • Validated through external data, this tool enhances personalized risk assessment and timely interventions for patients.

Cite This Study

Tan et al. (2025) studied this question.

synapsesocial.com/papers/68d4565b31b076d99fa5b2dahttps://doi.org/10.3389/fmed.2025.1653699
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Also Consider

Synapse has enriched 3 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3)2016 · 29,073 citations
  2. 2Neutrophil cell surface receptors and their intracellular signal transduction pathways2013 · 627 citations
  3. 3Sepsis-Induced Coagulopathy and Japanese Association for Acute Medicine DIC in Coagulopathic Patients with Decreased Antithrombin and Treated by Antithrombin2018 · 49 citations