Risk factors for pediatric ischemic stroke and intracranial hemorrhage: A national electronic health record based study

Stuart Fraser,Samantha M. Levy, Amee Moreno, Gen Zhu,Sean Savitz, Alicia Zha,Hulin Wu

Heliyon(2024)

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摘要
Background Stroke is an important cause of morbidity in pediatrics. Large studies are needed to better understand the epidemiology, pathogenesis and risk factors associated with pediatric stroke. Large administrative datasets can provide information on risk factors in perinatal and childhood stroke at low cost. The aim of this hypothesis-generating study was to use a large administrative dataset to assess for prevalence and odds-ratios of rare exposures associated with pediatric stroke. Methods The data for patients aged 0–18 with a diagnosis of either ischemic stroke or intracranial hemorrhage were extracted from the Cerner Health Facts EMR Database from 2000 to 2018. Prevalence of various possible risk factors for pediatric and adult stroke was assessed using ICD 9 and 10 codes. Odds ratios were calculated using a control group of patients without stroke. Results 10,688 children were identified with stroke. 6339 (59 %) were ischemic and 4349 (41 %) were hemorrhagic. The most frequently identified risk factors for ischemic stroke across age groups were hypertension (29–44 %), trauma (19–33 %), and malignancy (11–24 %). The most common risk factors seen with hemorrhagic stroke were trauma (32–64 %), malignancy (5–19 %) and arrhythmia (9–12 %). Odds ratios across all age groups for dyslipidemia (17–64), hypertension (20–63), and tobacco exposure (3–59) were high in the ischemic stroke cohort. Conclusion This is the largest retrospective study of pediatric stroke of its kind from hospitals across the US in both academic and non-academic clinical settings. Much of our data was consistent with prior studies. ICD codes for tobacco exposure, hyperlipidemia, diabetes, and hypertension all had high odds ratios for stroke in children, which suggest a relationship between these conditions and pediatric stroke. However, ascertainment bias is a major concern with electronic health record-based studies. More focused study is needed into the role of these exposures into the pathogenesis of pediatric stroke.
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