ArticleFrontiers in neuroscience2022
Development and validation of a nomogram to predict the 30-day mortality risk of patients with intracerebral hemorrhage.
Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.
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Who cites it
20 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Risk prediction models for short-term mortality in ICU stroke patients: a systematic review and meta-analysis.Frontiers in neurology · 2025Pooled it
- Impact of fever on the outcome non-anoxic acute brain injury patients: a systematic review and meta-analysis.Critical care (London, England) · 2024Pooled it
- The predictive value of serological markers for successful weaning and 30-day mortality in patients with severe intracerebral hemorrhage.BMC neurology · 2026Article
- Copeptin as a predictor of seizure diagnosis and seizure type in emergency department patients.BMC neurology · 2026Observational
- Predicting time-to-event outcomes in critically ill patients with intracerebral hemorrhage using machine learning.The Journal of international medical research · 2026Article
- A novel nomogram for predicting prolonged disorders of consciousness in severe supratentorial hypertensive intracerebral hemorrhage patients.Scientific reports · 2025Article
- An interpretable machine learning model for predicting early liver metastasis after pancreatic cancer surgery.BMC cancer · 2025Article
- Online Dynamic Nomogram for Predicting 90-Day Prognosis of Patients With Primary Basal Ganglia Cerebral Hemorrhage After Microscopic Keyhole Craniotomy for Hematoma Removal.Brain and behavior · 2025Article
- Association between Advanced Lung Cancer Inflammation Index and 30-day mortality in patients with spontaneous intracerebral hemorrhage: a retrospective cohort study.Frontiers in neurology · 2025Article
- Nomogram for predicting the 28-day mortality risk of patients with subendocardial infarction.Frontiers in cardiovascular medicine · 2025Article
- Nomogram to predict hemorrhage risk related to anti-tumor therapy in patients with acute leukemia.Frontiers in oncology · 2025Article
- Development of a predictive nomogram for 28-day mortality risk in non-traumatic or post-traumatic subarachnoid hemorrhage patients.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024Article
- Development and validation of a machine learning-based predictive model for assessing the 90-day prognostic outcome of patients with spontaneous intracerebral hemorrhage.Journal of translational medicine · 2024Article
- Development and Validation of a Dynamic Nomogram for Predicting 3-Month Mortality in Acute Ischemic Stroke Patients with Atrial Fibrillation.Risk management and healthcare policy · 2024Article
- Development and validation of a clinical prediction model for prognostic factors in patients with primary pontine hemorrhage.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2024Article
- Establishment of a mortality risk nomogram for predicting in-hospital mortality of sepsis: cohort study from a Chinese single center.Frontiers in medicine · 2024Article
- A Nomogram Model for Predicting the Polyphenol Content of Pu-Erh Tea.Foods (Basel, Switzerland) · 2023Article
- Retrospective Evaluation of Hematological and Clinical Factors Associated with 30-Day Mortality in 170 Patients Diagnosed with Intracerebral Hematoma in a Single Center in Turkey.Medical science monitor : international medical journal of experimental and clinical research · 2022Article
- Development of nomogram to predict in-hospital death for patients with intracerebral hemorrhage: A retrospective cohort study.Frontiers in neurology · 2022Article
- Radiomics features from perihematomal edema for prediction of prognosis in the patients with basal ganglia hemorrhage.Frontiers in neurology · 2022Article
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9 authors.
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Abstract
Background: Intracerebral hemorrhage (ICH) is a stroke syndrome with an unfavorable prognosis. Currently, there is no comprehensive clinical indicator for mortality prediction of ICH patients. The purpose of our study was to construct and evaluate a nomogram for predicting the 30-day mortality risk of ICH patients. Methods: ICH patients were extracted from the MIMIC-III database according to the ICD-9 code and randomly divided into training and verification cohorts. The least absolute shrinkage and selection operator (LASSO) method and multivariate logistic regression were applied to determine independent risk factors. These risk factors were used to construct a nomogram model for predicting the 30-day mortality risk of ICH patients. The nomogram was verified by the area under the receiver operating characteristic curve (AUC), integrated discrimination improvement (IDI), net reclassification improvement (NRI), and decision curve analysis (DCA). Results: A total of 890 ICH patients were included in the study. Logistic regression analysis revealed that age (OR = 1.05, Conclusion: This study identified independent risk factors for 30-day mortality of ICH patients and constructed a predictive nomogram model, which may help to improve the prognosis of ICH patients.
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