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Multicenter Study
. 2020 Nov;146(5):e2020013201.
doi: 10.1542/peds.2020-013201.

Population Based Birth Prevalence of Disease-Specific Perinatal Stroke

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Multicenter Study

Population Based Birth Prevalence of Disease-Specific Perinatal Stroke

Mary Dunbar et al. Pediatrics. 2020 Nov.

Abstract

Background: Perinatal stroke encompasses multiple disease-specific cerebrovascular syndromes that cause lifelong neurodevelopmental morbidity for millions worldwide. Acute presentations include neonatal arterial ischemic stroke (NAIS), neonatal cerebral sinovenous thrombosis, and neonatal hemorrhagic stroke (NHS). Delayed presentations include arterial presumed perinatal ischemic stroke, periventricular venous infarction, and presumed perinatal hemorrhagic stroke. Our objective was to define the birth prevalence of all subtypes of perinatal stroke by using a population-based cohort.

Methods: The Alberta Perinatal Stroke Project is a research cohort established in 2008 in southern Alberta, Canada, with prospective (2008-2017) and retrospective (1990-2008) enrollment leveraging universal health care at a single tertiary care pediatric center. The primary outcome was the estimated birth prevalence of each perinatal stroke syndrome, secondary outcomes were birth prevalence over time, sex ratios, and change in age at diagnosis. Analysis included Poisson regression, Wilcoxon rank test, and Fisher exact test.

Results: The overall estimated birth prevalence of term-born perinatal stroke was 1:1100. The estimated birth prevalence was 1:3000 for NAIS, 1:7900 for arterial presumed perinatal ischemic stroke, 1:6000 for periventricular venous infarction, 1:9100 for cerebral sinovenous thrombosis, 1:6800 for NHS, and 1:65000 for presumed perinatal hemorrhagic stroke. The apparent birth prevalence of NAIS and NHS increased over time. There were more males affected than females. The age at diagnosis decreased for late-presenting stroke types.

Conclusions: The estimated birth prevalence of term perinatal stroke is higher than previous estimates, which may be explained by population-based sampling of disease-specific states. This emphasizes the need for further studies to better understand the disease-specific pathophysiology to improve treatment and prevention strategies.

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Conflict of interest statement

POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose. The funder/sponsor did not participate in the work

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