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ABSTRACT: Background
Compared to in-hospital ischemic stroke, the prognosis of in-hospital intracranial hemorrhage (IH-ICH) remains poorly understood. We aimed to analyze the risk factors for early poor outcomes and propose a novel predictive nomogram for in-hospital ICH.Methods
We retrospectively analyzed data of patients with in-hospital ICH treated in our hospital between 2014 and 2022. Baseline demographics, comorbidities, clinical characteristics, and outcomes were collected. The early poor outcome was defined as in-hospital death or discharge against medical advice. Univariate and multivariate logistic regressions were used to identify the risk factors and then construct a nomogram. The nomogram was compared with the ICH score in terms of predictive ability.Results
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SUBMITTER: Qu T
PROVIDER: S-EPMC12647189 | biostudies-literature | 2025 Dec
REPOSITORIES: biostudies-literature