ArticleJournal of neurology2025
Predicting delirium in acute ischemic stroke: the PREDELIS score.
Article in Journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
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Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prediction models for post-stroke delirium: a systematic review with an exploratory meta-analysis of predictors.Frontiers in neurologyPooled it
- Risk-predicting and screening tools of post-stroke delirium: a narrative review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026Review
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16 authors.
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Abstract
backgroundDelirium, defined as an acute, fluctuating disturbance in consciousness, attention and cognition, is a common stroke complication and associated with poor functional outcome. Although resource-intensive prevention strategies could reduce delirium rates, their implementation in unselected stroke patients is challenging. This study aimed to develop a risk score for predicting delirium in acute ischemic stroke (PREDELIS).
methodsWe retrospectively included all ischemic stroke patients admitted to five stroke units of Styria, Austria, between 2013 and 2021. Data were retrieved from a comprehensive medical information system using semi-automated data extraction. The PREDELIS score was based on multivariable logistic regression analysis to identify admission variables associated with delirium.
results14,475 acute ischemic stroke patients (median age: 76 years, 46% women) were split in a 40% derivation (n = 6151; delirium = 398, 6.5%) and a 60% validation cohort (n = 8324; delirium: 568, 6.8%). Previous delirium (4 points), chronic alcohol consumption (3), age > 70 years (2), male sex (2), infection (2), admission NIHSS > 7 (1), non-lacunar stroke (1) and vision/hearing impairment (1) were associated with delirium (all p < 0.05) and included in our score (median: 5 points). The score´s area under the curve was 0.72 in both the derivation (95% CI 0.69-0.75) and the validation cohort (95% CI 0.70-0.74). While patients with a score of ≤ 5 had a low delirium risk (2.5%), a score of ≥ 9 indicated a high risk (30.9%). DISCUSSION AND
conclusionThis study introduces a novel score for early delirium risk estimation in ischemic stroke patients, aiding clinicians in identifying high-risk individuals for targeted screening and prevention.
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