AI Article Synopsis
- - The study aimed to determine the birth prevalence of perinatal stroke in term infants and identify associated risk factors, despite some factors being present in healthy infants, which complicates risk assessment.
- - Researchers analyzed perinatal stroke data from 2017 to 2019, finding a prevalence of 9.6 per 100,000 live births, with most cases (87%) showing multiple risk factors like cesarean section and low Apgar scores.
- - The study concluded that while certain risk factors are statistically significant, they do not fully explain the causes of perinatal stroke, indicating a need for further validation through case-control studies.
Article 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 ( = 0.04), 5-min Apgar score <7 ( < 0.01), neonatal resuscitation ( < 0.01) and nulliparity ( < 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.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10729630 | PMC |
| http://dx.doi.org/10.1177/2329048X231217691 | DOI Listing |
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