ArticleSpringerPlus2016
Prediction of in-hospital stroke mortality in critical care unit.
Article in SpringerPlus, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.
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Who cites it
21 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Risk Factors for Mortality in Stroke Patients Admitted to Critical Care Units: A Systematic Review and Meta-Analysis.Brain and behavior · 2025Pooled it
- Association between circulating inflammatory biomarkers and functional outcome or perihaematomal oedema after ICH: a systematic review & meta-analysis.Wellcome open research · 2023Pooled it
- Prognostic models for intracerebral hemorrhage: systematic review and meta-analysis.BMC medical research methodology · 2018Pooled it
- Twenty-eight-day in-hospital mortality prediction for elderly patients with ischemic stroke in the intensive care unit: Interpretable machine learning models.Frontiers in public health · 2022Trial
- Sardjito Cardiovascular Intensive Care Score as an Alternative to Mayo Cardiac Admission Risk Score for Predicting Mortality in Cardiovascular Intensive Care Patients.Cardiology research · 2026Article
- Factors Associated With Mortality Among Adult Hemorrhagic Stroke Patients in Public Hospitals in the Harari Region, Eastern Ethiopia: A Retrospective Hospital-Based Cohort Study.Stroke research and treatment · 2026Article
- Longitudinal trends in stroke risk factors and mortality over 20 years from a central stroke referral center in Pakistan using clinically digitized data.eNeurologicalSci · 2025Article
- Article
- Can the Care-need Level Determined by Local Certification Board Predict Long-term Clinical Outcomes in Patients with Stroke?JMA journal · 2024Article
- Incidence of mortality and risk factors among adult stroke patients in public hospitals Jigjiga town Somali region, Ethiopia: Cohort study design.SAGE open medicine · 2024Article
- Predicting 90-Day Prognosis in Ischemic Stroke Patients Post Thrombolysis Using Machine Learning.Journal of personalized medicine · 2023Article
- A comparison of random survival forest and Cox regression for prediction of mortality in patients with hemorrhagic stroke.BMC medical informatics and decision making · 2023Article
- Monocyte to HDL and Neutrophil to HDL Ratios as Potential Ischemic Stroke Prognostic Biomarkers.Neurology international · 2023Review
- Towards Interpretable Multimodal Predictive Models for Early Mortality Prediction of Hemorrhagic Stroke Patients.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2023Article
- Identification and Validation of a Novel Nomogram Predicting 7-day Death in Patients with Intracerebral HemorrhageBalkan medical journal · 2022Article
- Predictive Model and Mortality Risk Score during Admission for Ischaemic Stroke with Conservative Treatment.International journal of environmental research and public health · 2022Article
- Development and validation of a 30-day death nomogram in patients with spontaneous cerebral hemorrhage: a retrospective cohort study.Acta neurologica Belgica · 2022Article
- In-hospital mortality and its predictors among adult stroke patients admitted in Debre Markos Comprehensive Specialized Hospital, Northwest Ethiopia.SAGE open medicine · 2022Article
- Higher total white blood cell and neutrophil counts are associated with an increased risk of fatal stroke occurrence: the Guangzhou biobank cohort study.BMC neurology · 2021Article
- Outcome Predictors of Stroke Mortality in the Neurocritical Care Unit.Frontiers in neurology · 2020Article
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCritical stroke causes high morbidity and mortality. We examined if variables in the early stage of critical stroke could predict in-hospital mortality.
methodsWe recruited 611 ischemic and 805 hemorrhagic stroke patients who were admitted within 24 h after the symptom onset. Data were analyzed with independent t test and Chi square test, and then with multivariate logistic regression analysis.
resultsIn ischemic stroke, National Institutes of Health Stroke Scale (NIHSS) score (OR 1.08; 95 % CI 1.06-1.11; P < 0.01), white blood cell count (OR 1.11; 95 % CI 1.05-1.18; P < 0.01), systolic blood pressure (BP) (OR 0.49; 95 % CI 0.26-0.90; P = 0.02) and age (OR 1.03; 95 % CI 1.00-1.05; P = 0.03) were associated with in-hospital mortality. In hemorrhagic stroke, NIHSS score (OR 1.12; 95 % CI 1.09-1.14; P < 0.01), systolic BP (OR 0.25; 95 % CI 0.15-0.41; P < 0.01), heart disease (OR 1.94; 95 % CI 1.11-3.39; P = 0.02) and creatinine (OR 1.16; 95 % CI 1.01-1.34; P = 0.04) were related to in-hospital mortality. Nomograms using these significant predictors were constructed for easy and quick evaluation of in-hospital mortality.
conclusionVariables in acute stroke can predict in-hospital mortality and help decision-making in clinical practice using nomogram.
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