ArticleFrontiers in medicine2023
Nomogram for predicting disseminated intravascular coagulation in heatstroke patients: A 10 years retrospective study.
Article in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 8 citations in OpenAlex.
- Predictive value of the reverse shock index multiplied by glasgow coma scale score for mortality in ICU heatstroke patients: a multicenter study.Scientific reports · 2026Observational
- Proteomics-based monitoring of heatstroke recovery identifies molecular signatures of organ stress.Communications medicine · 2025Article
- Interpretable machine learning model for early prediction of disseminated intravascular coagulation in critically ill children.Scientific reports · 2025Article
- Developing a molecular diagnostic model for heatstroke-induced coagulopathy: a proteomics and metabolomics approach.Frontiers in molecular biosciences · 2025Article
- A nomogram based on InLDH and InNLR for predicting disseminated intravascular coagulation in patients with heat stroke.Therapeutic advances in hematology · 2025Article
- [Experience summary of coagulation rebalancing therapy for heat stroke-induced coagulopathy].Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi · 2024Article
- A newly proposed heatstroke-induced coagulopathy score in patients with heat illness: A multicenter retrospective study in China.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2024Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Disseminated intravascular coagulation (DIC) can lead to multiple organ failure and death in patients with heatstroke. This study aimed to identify independent risk factors of DIC and construct a predictive model for clinical application. Methods: This retrospective study included 87 patients with heatstroke who were treated in the intensive care unit of our hospital from May 2012 to October 2022. Patients were divided into those with DIC ( Results: Random forest, LASSO, and SVM-RFE identified a low maximum amplitude, decreased albumin level, high creatinine level, increased total bilirubin, and aspartate transaminase (AST) level as risk factors for DIC. Principal component analysis confirmed that these independent variables differentiated between patients who experienced DIC or not, so they were used to construct a nomogram. The nomogram showed good predictive power, with an area under the receiver operating characteristic curve of 0.976 (95% CI 0.948-1.000) and 0.971 (95% CI, 0.914-0.989) in the internal validation. Decision curve analysis indicated clinical utility for the nomogram. DIC was associated with significantly lower 30 days survival for heatstroke patients. Conclusion: A nomogram incorporating coagulation-related risk factors can predict DIC in patients with heatstroke and may be useful in clinical decision-making.
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