ArticleEuropean journal of neurology2025
Predictors of affective disturbances and cognitive impairment following small spontaneous supratentorial intracerebral hemorrhage.
Article in European journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Efficacy and safety of tirofiban in acute ischemic stroke due to intracranial atherosclerotic disease for patients undergoing endovascular treatment: a systematic review and meta-analysis.Neuroradiology · 2025Pooled it
- Cerebral Microbleeds and Long-Term Affective Symptoms in Survivors of Spontaneous Intracerebral Hemorrhage.Journal of the American Heart Association · 2026Article
- The challenge of exploring neuropsychiatric and cognitive symptoms after spontaneous intracerebral hemorrhage.European journal of neurology · 2025Article
- Predictors of affective disturbances and cognitive impairment following small spontaneous supratentorial intracerebral hemorrhage.European journal of neurology · 2025Article
- A nomogram model to predict cognitive impairment in patients with spontaneous intracerebral hemorrhage.Frontiers in neurologyArticle
- Development and internal validation of a machine learning model for predicting intracranial infection after spontaneous intracerebral hemorrhage: a two-center retrospective study.Frontiers in neurologyArticle
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Abstract
background and purposeAffective disturbances and cognitive impairment are common sequelae of intracerebral hemorrhage (ICH), yet predictive models for these outcomes remain limited, especially for spontaneous supratentorial ICH with small hematomas (<30 mL). The aim of this study was to investigate predictors of affective disturbances and cognitive impairment following small spontaneous supratentorial intracerebral hemorrhage.
methodsWe retrospectively analyzed 1692 patients with spontaneous supratentorial ICH between January 2018 and December 2020 at the First Affiliated Hospital of Harbin Medical University. Of these, 1563 patients completed a median follow-up of 3.5 years. Cognitive function was evaluated using the modified Telephone Interview for Cognitive Status, and affective disturbances using the Hamilton Depression Scale and the Hamilton Anxiety Scale. Restricted cubic spline analyses were employed to examine the relationships between predictors and outcomes.
resultsIn this cohort, 58.5% had cognitive impairment, 52.8% reported depressive symptoms, and 39.4% exhibited anxiety symptoms. Logistic regression models using Boruta's algorithm demonstrated strong predictive capacity, with areas under the curve of 0.82 for cognitive impairment, 0.78 for depressive symptoms, and 0.73 for anxiety symptoms. Hematoma volume was significantly linked to depressive symptoms (odds ratio [OR] 1.56, 95% confidence interval [CI] 1.38-1.76) and inversely to cognitive impairment (OR 0.67, 95% CI 0.59-0.77). Uric acid levels displayed a nonlinear relationship with cognitive impairment (OR 0.70, 95% CI 0.61-0.81). Hospitalization days significantly raised the risk of both depressive (OR 1.16, 95% CI 1.03-1.30) and anxiety symptoms (OR 1.17, 95% CI 1.04-1.31).
conclusionsThe logistic regression model, enhanced by Boruta's algorithm, provides a valuable tool for predicting affective disturbances and cognitive impairment after ICH. It facilitates early identification and improves risk assessment for these neuropsychiatric outcomes in patients with small hematomas.
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