Article

A Nomogram Model for Early Predicting In-Hospital Mortality Risk in Patients with Large Hemispheric Cerebral Infarction

2023-10-18

Abstract excerpt

<h4>Background: </h4> Large Hemispheric Infarction (LHI) poses significant mortality and morbidity risks, necessitating predictive models for in-hospital mortality. Previous studies have explored LHI progression to malignant cerebral edema (MCE) but have not comprehensively addressed in-hospital mortality risk, especially in non-decompressive hemicraniectomy (DHC) patients. <h4>Methods:</h4> Demographic, clinical,...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: f3a91b21-9263-5556-87c0-2a1dafbb8757
DOI: 10.21203/rs.3.rs-3446848/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A Nomogram Model for Early Predicting In-Hospital Mortality Risk in Patients with Large Hemispheric Cerebral InfarctionDOI 10.21203/rs.3.rs-3446848/v1Read

Nomogram prediction model for the risk of intracranial hemorrhagic transformation after intravenous thrombolysis in patients with acute ischemic strokeSemantic proximity Read

A novel clinical nomogram for predicting 3-month unfavorable outcomes of stroke patients treated with mechanical thrombectomySemantic proximity Read

A Neutrophil-Incorporated Nomogram for Predicting 3-Month Disability after Intravenous Thrombolysis in Acute Ischemic StrokeSemantic proximity Read

Development and validation a machine learning model based on clinical factors to predict short-term prognosis of ICU intracerebral hemorrhage patients: a retrospective studySemantic proximity Read

Nomogram to predict risk for early ischemic stroke by non-invasive method.Semantic proximity Read

A nomogram by adding atrial fibrillation to multicenter stroke survey score to predict intracranial hemorrhage in stroke patients undergoing thrombolysisSemantic proximity Read

Predictive nomogram for unfavorable outcome of spontaneous intracerebral hemorrhageSemantic proximity Read

Integrating Vascular, Neurological, and Metabolic Factors into a Validated Nomogram to Predict 90‑day Outcomes after Mechanical Thrombectomy for Acute Ischemic StrokeSemantic proximity Read

Guideline-Guided Prognostic Models of Mortality Following First-Ever Ischemic StrokeSemantic proximity Read

Prediction of etiology and prognosis based on hematoma location of spontaneous intracerebral hemorrhageSemantic proximity Read

A Novel Easy-To-Access Model That Predicts Stroke-Associated PneumoniaSemantic proximity Read

Development and validation of a nomogram for predicting stroke-associated pneumonia based on real-world dataSemantic proximity Read