지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2022.11
- 수록면
- 487 - 501 (15page)
- DOI
- https://doi.org/10.5468/ogs.22060
이용수
초록· 키워드
오류제보하기
ObjectiveThis study systematically analyzed coronavirus disease 2019 (COVID-19) and vaccination details during pregnancy byusing the national health insurance claims data.
MethodsPopulation-based retrospective cohort data of 12,399,065 women aged 15-49 years were obtained from the KoreaNational Health Insurance Service claims database between 2019 and 2021. Univariate analysis was performed tocompare the obstetric outcomes of pregnant women (ICD-10 O00-O94) and their newborns (ICD-10 P00-P96) with andwithout COVID-19. Univariate analysis was also performed to compare the age and obstetric outcomes of pregnantwomen receiving different types of vaccines.
ResultsThe percentage of pregnant women with COVID-19 during pregnancy was 0.11%. Some obstetric outcomes of pregnantwomen with COVID-19, including the rates of preterm birth or cesarean delivery, were significantly better than thoseof pregnant women without COVID-19. The rate of miscarriage was higher in pregnant women with COVID-19 thanwithout COVID-19. However, the outcomes of newborns of women with and without COVID-19 were not significantlydifferent. Regarding vaccination type, obstetric outcomes of pregnant women appeared to be worse with the viralvector vaccine than with the mRNA vaccine.
ConclusionTo the best of our knowledge, this is the first study to systematically analyze COVID-19 and vaccination details duringpregnancy using the national health insurance claims data in Korea. The obstetric outcomes in pregnant women withand without COVID-19 and their newborns were similar.
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