ArticleBMC infectious diseases2024
Persistent high sepsis-induced coagulopathy and sequential organ failure assessment scores can predict the 28-day mortality of patients with sepsis: A prospective study.
Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 24 citations in OpenAlex.
- Development and Validation of an Interpretable Machine Learning Model to Predict Mortality in Patients With Sepsis-Induced Coagulopathy: Multicenter Cohort Study.JMIR medical informatics · 2026Article
- Physiological Phenotypes in Comatose ICU Patients: A Retrospective Multidimensional Analysis.Diagnostics (Basel, Switzerland) · 2026Article
- Early Evolution of Sepsis-Associated Coagulopathy and Its Association with Therapeutic Exposures: A Prospective Longitudinal Cohort Study.Journal of clinical medicine · 2026Article
- Interpretable machine learning for early prediction of sepsis-induced coagulopathy: a multicenter retrospective development and validation study.BMC medical informatics and decision making · 2026Article
- Construction of a nomogram prediction model for prolonged ICU length of stay in patients with sepsis-induced coagulopathy.European journal of medical research · 2026Article
- Correlation between sub-phenotypes of coagulopathy and prognosis in sepsis patients in ICU using longitudinal group trajectory modeling: a retrospective analysis.European journal of medical research · 2026Article
- Aerobic and Facultative Bacterial Spectrum and Antimicrobial Susceptibility Patterns in Pediatric Acute Appendicitis: A Prospective Local Surveillance Study.International journal of microbiology · 2026Article
- Article
- The Potential of Artificial Intelligence in the Diagnosis and Prognosis of Sepsis: A Narrative Review.Diagnostics (Basel, Switzerland) · 2025Review
- Endothelial Damage in Sepsis: The Interplay of Coagulopathy, Capillary Leak, and Vasoplegia-A Physiopathological Study.Clinics and practice · 2025Article
- Sepsis-Induced Coagulopathy and Hypoalbuminemia: Endothelial Damage as Common Pathway and Clinical Implications on Mortality and Transfusion Risk.Journal of clinical medicine · 2025Article
- Disseminated intravascular coagulation: cause, molecular mechanism, diagnosis, and therapy.MedComm · 2025Review
- Understanding, assessing and treating immune, endothelial and haemostasis dysfunctions in bacterial sepsis.Intensive care medicine · 2024Review
- Sepsis-induced coagulopathy (SIC) in the management of sepsis.Annals of intensive care · 2024Review
- Determining prognostic indicator for anticoagulant therapy in sepsis-induced disseminated intravascular coagulation.Journal of intensive care · 2024Article
- Hospital Acquired Sepsis, Disease Prevalence, and Recent Advances in Sepsis Mitigation.Pathogens (Basel, Switzerland) · 2024Review
- Diagnostic and Prognostic Value of C1q in Sepsis-Induced Coagulopathy.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/HemostasisArticle
- Evaluation of Argatroban in Sepsis-Induced Coagulopathy: A Retrospective Study Based on MIMIC-IV Database.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/HemostasisArticle
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundThe performance of the sepsis-induced coagulopathy (SIC) and sequential organ failure assessment (SOFA) scores in predicting the prognoses of patients with sepsis has been validated. This study aimed to investigate the time course of SIC and SOFA scores and their association with outcomes in patients with sepsis.
methodsThis prospective study enrolled 209 patients with sepsis admitted to the emergency department. The SIC and SOFA scores of the patients were assessed on days 1, 2, and 4. Patients were categorized into survivor or non-survivor groups based on their 28-day survival. We conducted a generalized estimating equation analysis to evaluate the time course of SIC and SOFA scores and the corresponding differences between the two groups. The predictive value of SIC and SOFA scores at different time points for sepsis prognosis was evaluated.
resultsIn the non-survivor group, SIC and SOFA scores gradually increased during the first 4 days (P < 0.05). In the survivor group, the SIC and SOFA scores on day 2 were significantly higher than those on day 1 (P < 0.05); however, they decreased on day 4, dropping below the levels observed on day 1 (P < 0.05). The non-survivors showed higher SIC scores on days 2 (P < 0.05) and 4 (P < 0.001) than the survivors, whereas no significant differences were found between the two groups on day 1 (P > 0.05). The performance of SIC scores on day 4 for predicting mortality was more accurate than that on day 2, with areas under the curve of 0.749 (95% confidence interval [CI]: 0.674-0.823), and 0.601 (95% CI: 0.524-0.679), respectively. The SIC scores demonstrated comparable predictive accuracy for 28-day mortality to the SOFA scores on days 2 and 4. Cox proportional hazards models indicated that SIC on day 4 (hazard ratio [HR] = 3.736; 95% CI: 2.025-6.891) was an independent risk factor for 28-day mortality.
conclusionsThe time course of SIC and SOFA scores differed between surviving and non-surviving patients with sepsis, and persistent high SIC and SOFA scores can predict 28-day mortality.
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