Evidence map›Paper›PMID 39291491›Full record

ArticleJournal of the American Heart Association2024

Risk of Traumatic Intracranial Hemorrhage After Stroke: A Nationwide Population-Based Cohort Study in Taiwan.

Yun-Ting Fang, Shu-Fen Liao, Ping-Ling Chen, Tian-Shin Yeh, Chin-I Chen, Krisna Piravej, Chia-Chieh Wu, Wen-Ta Chiu, Carlos Lam

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Article in Journal of the American Heart Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Yun-Ting FangSchool of Medicine, College of Medicine Taipei Medical University Taipei Taiwan.
Shu-Fen LiaoDepartment of Medical Research, Wan Fang Hospital Taipei Medical University Taipei Taiwan.
Ping-Ling ChenGraduate Institute of Injury Prevention and Control, College of Public Health Taipei Medical University Taipei Taiwan.ORCID 0000-0003-2724-1739
Tian-Shin YehDepartment of Physical Medicine and Rehabilitation, School of Medicine, College of Medicine Taipei Medical University Taipei Taiwan.ORCID 0000-0002-2266-8920
Chin-I ChenDepartment of Neurology, Wan Fang Hospital Taipei Medical University Taipei Taiwan.
Krisna PiravejDepartment of Rehabilitation Medicine, Faculty of Medicine Chulalongkorn University Bangkok Thailand.ORCID 0000-0001-6767-4964
Chia-Chieh WuEmergency Department, Wan Fang Hospital Taipei Medical University Taipei Taiwan.
Wen-Ta ChiuGraduate Institute of Injury Prevention and Control, College of Public Health Taipei Medical University Taipei Taiwan.
Carlos LamEmergency Department, Wan Fang Hospital Taipei Medical University Taipei Taiwan.ORCID 0000-0002-8051-7485

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStroke and traumatic intracranial hemorrhage (tICH) are major causes of disability worldwide, with stroke exerting significant negative effects on the brain, potentially elevating tICH risk. In this study, we investigated tICH risk in stroke survivors. METHODS AND

resultsUsing relevant data (2017-2019) from Taiwan's National Health Insurance Research Database, we conducted a population-based retrospective cohort study. Patients were categorized into stroke and nonstroke groups, and tICH risk was compared using a Cox proportional-hazards model. Among 164 628 patients with stroke, 1004 experienced tICH. Patients with stroke had a higher tICH risk than nonstroke counterparts (adjusted hazard ratio [HR], 3.49 [95% CI, 3.17-3.84]). Subgroup analysis by stroke type revealed higher tICH risk in hemorrhagic stroke survivors compared with ischemic stroke survivors (HR, 5.64 [95% CI, 4.97-6.39] versus 2.87 [95% CI, 2.58-3.18], respectively). Older patients (≥45 years) with stroke had a higher tICH risk compared with their younger counterparts (<45 years), in contrast to younger patients without stroke (HR, 7.89 [95% CI, 6.41-9.70] versus 4.44 [95% CI, 2.99-6.59], respectively). Dementia and Parkinson disease emerged as significant tICH risk factors (HR, 1.69 [95% CI, 1.44-2.00] versus 2.17 [95% CI, 1.71-2.75], respectively). In the stroke group, the highest tICH incidence density occurred 3 months after stroke, particularly in patients aged >65 years.

conclusionsStroke survivors, particularly those with hemorrhagic stroke and those aged ≥45 years, face elevated tICH risk. Interventions targeting the high-risk period are vital, with fall injuries potentially contributing to tICH incidence.

Indexed as

Intracranial Hemorrhage, TraumaticAdultAgedAge FactorsDatabases, FactualFemaleHemorrhagic StrokeHumansIncidenceMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsStrokeTaiwancohort studyfall injurymicroangiopathystroketraumatic intracranial hemorrhage

Identifiers

PMID39291491
PMCPMC11681476

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.