Bithi Roy, Annabel Webb, Karen Walker, Catherine Morgan, Nadia Badawi, Carlos Nunez, Guy Eslick, Alison L Kent, Rod W Hunt, Mark T Mackay, Iona Novak
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引用次数: 0
Abstract
Objectives: The study objective was to calculate the birth prevalence of perinatal stroke and examine risk factors in term infants. Some risk factors are present in healthy infants, making it difficult to determine at-risk infants.
Study design: Prospective population-based perinatal stroke data were compared to the Australian general population data using chi-squared and Fisher's exact tests and multivariable logistic regression analysis.
Results: Sixty perinatal stroke cases were reported between 2017 and 2019. Estimated stroke prevalence was 9.6/100,000 live births/year including 5.8 for neonatal arterial ischemic stroke and 2.9 for neonatal hemorrhagic stroke. Eighty seven percent had multiple risk factors. Significant risk factors were cesarean section (p = 0.04), 5-min Apgar score <7 (p < 0.01), neonatal resuscitation (p < 0.01) and nulliparity (p < 0.01).
Conclusions: Statistically significant independent risk factors do not fully explain the cause of perinatal stroke, because they are not a direct causal pathway to stroke. These data now require validation in a case-control study.
研究目的研究目的是计算围产期中风的出生患病率并检查足月儿的风险因素。某些风险因素在健康婴儿中也存在，因此很难确定高危婴儿：研究设计：采用卡方检验、费雪精确检验和多变量逻辑回归分析，将基于人群的前瞻性围产期中风数据与澳大利亚普通人群数据进行比较：2017年至2019年期间报告了60例围产期中风病例。估计中风发病率为 9.6/100,000 活产/年，其中新生儿动脉缺血性中风为 5.8，新生儿出血性中风为 2.9。87%的新生儿有多种风险因素。显著的风险因素是剖宫产（p = 0.04）、5 分钟 Apgar 评分 p p p 结论：具有统计学意义的独立危险因素并不能完全解释围产期中风的原因，因为它们不是中风的直接因果途径。这些数据现在需要在病例对照研究中进行验证。
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