ArticleHeliyon2024
Relationship between coagulopathy score and ICU mortality: Analysis of the MIMIC-IV database.
Article in Heliyon, 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.
- Letter to the Editor for: "Risk Factors for Early Poor Outcomes in in-Hospital Intracranial Hemorrhage: A Retrospective Cohort Study".Neurocritical care · 2026Article
- Association between blood urea nitrogen-to-creatinine ratio trajectories and mortality in patients with severe pneumonia requiring invasive mechanical ventilation: a Medical Information Mart for Intensive Care IV (MIMIC-IV) database analysis.Journal of thoracic disease · 2026Article
- Predictors of mortality of Hypertensive Intracerebral Hemorrhage (HICH) patients: a single centre study.BMC neurology · 2026Article
- Assessing in-hospital mortality risk in ICU lung cancer patients using machine learning: An analysis based on the MIMIC-IV database.PloS one · 2026Article
- Predictive value of the systemic immune-inflammation index in 28-day survival after surgery for intracerebral hemorrhage.European journal of medical research · 2025Article
- Relationship between coagulopathy score and survival in critically ill patients with liver cirrhosis and sepsis: a retrospective study.BMC infectious diseases · 2025Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Coagulopathy score has been applied as a new prognostic indicator for sepsis, heart failure and acute respiratory failure. However, its ability to forecast intensive care unit (ICU) mortality in patients with an acute cerebral hemorrhage (ICH) has not been assessed. The purpose of this study was to clarify the relationship between ICU mortality and early coagulation problem score. Methods: Data from the Medical Information Mart for Intensive Care (MIMIC-IV) (v2.0) database were used in this retrospective cohort analysis. The association between the coagulation disorder score and ICU mortality was examined using multivariate logistic regression. Furthermore, the impact of additional variables on the results was investigated by a subgroup analysis. Results: 3174 patients (57.3 % male) were enrolled in total. The ICU mortality reached 18.2 %. After adjusting for potential confounders, the ICU mortality of patients rose with the increase of coagulation disorder score. The ROC curve revealed the predictive accuracy of coagulation dysfunction score to mortality in patients with ICU. The coagulation disorder score had a lower AUC value (0.601, P < 0.001) than the SAPSII(AUCs of 0.745[95 % CI, 0.730-0.761]) and the combined indicators(AUCs of 0.752[95 % CI, 0.737-0.767]), but larger than single indicators platelet, INR and APTT. In the subgroup analysis, most subgroups showed no significant interaction, but only age showed significant interaction in the adjusted model. Conclusion: The coagulopathy score and ICU mortality were found to be strongly positively correlated in this study, and its ability to predict ICU mortality was better than that of a single measure (platelet, INR, or APTT), but worse than that of the SAPSII score, GCS system.
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