ArticleOpen access emergency medicine : OAEM2024
The Relationship Between Acute Kidney Injury in Sepsis Patients and Coagulation Dysfunction and Prognosis.
Article in Open access emergency medicine : OAEM, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Cross-algorithm machine learning and consensus features for early disseminated intravascular coagulation risk prediction in sepsis-induced coagulopathy.Journal of translational medicine · 2026Article
- Clinic-first sepsis recognition in the ICU: a proteomics-guided, parsimonious model with independent validation.Clinical proteomics · 2026Article
- [Association of platelets with multiple organic failure in septic patients].Revista medica del Instituto Mexicano del Seguro Social · 2026Observational
- Diagnosing Sepsis Through Proteomic Insights: Findings from a Prospective ICU Cohort.medRxiv : the preprint server for health sciences · 2025Article
- Machine learning models for predicting severe acute kidney injury in patients with sepsis-induced myocardial injury.Scientific reports · 2025Article
- Establishment and validation of the prediction model based on lymphocyte subsets for acute kidney injury in sepsis patients.Frontiers in immunology · 2025Article
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3 authors.
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Abstract
Purpose: The aim of this study was to investigate the relationship between ARF and coagulopathy in patients with sepsis and to explore the prognostic value of these conditions. Patients and Methods: The data of 271 patients with sepsis-associated coagulopathy admitted from June 2021 to June 2022 were reviewed. The patients were divided into a survival group and a nonsurviving group according to patient prognosis. Independent sample t tests were utilized to compare laboratory parameters within 24 hours of admission, as well as the APACHE II and SOFA scores, between the two patient groups. According to the sepsis-associated coagulation dysfunction (SAC) grading criteria for grading, Spearman correlation analysis was used to study the relationship between blood creatinine and SAC grading and assignment scores, and receiver operating characteristic (ROC) curves and Cox's proportional risk regression model were used to explore the factors affecting the prognosis of SAC patients. Results: Spearman correlation analysis revealed strong associations between serum creatinine (Scr) concentration, SAC classification, and SAC score, with coefficients above 0.7. SAC classification outcomes varied significantly with severity: mild severity had a 77.6% survival rate versus 22.4% mortality; moderate severity had 21.5% survival versus 78.5% mortality; and severe cases had a 0.7% survival rate versus 99.3% mortality (P<0.01 for all). Multivariate analysis revealed significant predictors of outcome, including multiple organ dysfunction syndrome (MODS), with an OR of 2.070 (P=0.019); the SOFA score (OR=1.200, P<0.01); the international normalized ratio (INR) (OR=0.72, P=0.013); and the Scr level (OR=0.995, P<0.01). The areas under the ROC curves for the SOFA score, APACHE II score, and SAC classification were >0.8, all P < 0.05. Conclusion: In patients with sepsis, SAC grade 3 or a SAC score of 4 or higher is associated with poorer prognosis, and the interaction of acute kidney injury exacerbates the degree of SAC, consequently affecting prognosis.
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