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COVID-19, maternal, and neonatal outcomes: National Mother-Child Cohort (NMCC) of K-COV-N cohort in South Korea.
Oh, Jongmin; Lee, Whanhee; Kim, Choong-Jong; Kim, Yi Jun; Park, Hyesook; Lee, Ji Hyen; Park, Mi Hye; Lee, Seulbi; Ha, Eunhee; Lee, Kyung A.
  • Oh J; Department of Environmental Medicine, College of Medicine, Ewha Womans University, Seoul, Republic of Korea.
  • Lee W; Institute of Ewha-SCL for Environmental Health (IESEH), College of Medicine, Ewha Womans University, Seoul, Republic of Korea.
  • Kim CJ; School of Biomedical Convergence Engineering, College of Information and Biomedical Engineering, Pusan National University, Yangsan, Republic of Korea.
  • Kim YJ; Department of Internal Medicine, Division of Infectious Diseases, Ewha Womans University School of Medicine, Seoul, South Korea.
  • Park H; Department of Environmental Medicine, College of Medicine, Ewha Womans University, Seoul, Republic of Korea.
  • Lee JH; Department of Preventive Medicine, Ewha Womans University College of Medicine, Seoul, Korea.
  • Park MH; Graduate Program in System Health Science and Engineering, College of Medicine, Ewha Womans University, Seoul, Republic of Korea.
  • Lee S; Department of Pediatrics, Ewha Womans University College of Medicine, Seoul, Republic of Korea.
  • Ha E; Department of Obstetrics and Gynecology, Ewha Womans University College of Medicine, Seoul, Republic of Korea.
  • Lee KA; Department of Big Data Strategy, National Health Insurance Service, Wonju, Korea.
PLoS One ; 18(4): e0284779, 2023.
Artículo en Inglés | MEDLINE | ID: covidwho-2301147
ABSTRACT
Throughout the COVID-19 pandemic, pregnant women have been classified as a vulnerable population. However, the evidence on the effect of infection during pregnancy on maternal and neonatal outcomes is still uncertain, and related research comprising a large population of pregnant women in Asian countries is limited. We constructed a national cohort including mothers and children (369,887 pairs) registered in the Prevention Agency-COVID-19-National Health Insurance Service (COV-N), from January 1, 2020 to March 31, 2022. We performed propensity score matchings and generalized estimation equation models to estimate the effect of COVID-19 on maternal and neonatal outcomes. In summary, we found little evidence of the effect of COVID-19 infection during pregnancy on maternal and neonatal outcomes; however, a relationship between COVID-19 infection in the second trimester and postpartum hemorrhages was discovered (Odds ratio (OR) of Delta period 2.26, 95% Confidence intervals (CI) 1.26, 4.05). In addition, neonatal intensive care unit (NICU) admissions increased due to COVID-19 infection (pre-Delta period 2.31, 95% CI 1.31, 4.10; Delta period 1.99, 95% CI 1.47, 2.69; Omicron period 2.36, 95% CI 1.75, 3.18). Based on the national retrospective cohort study data, this study investigated the effects of COVID-19 infection on maternal and neonatal outcomes in Korea from the pre-Delta to the initial Omicron epidemic periods. Our evidence suggests that the timely and successful policies of the government and academia in response to COVID-19 infections in newborns in Korea may cause an increase in NICU admissions, but nonetheless, they prevent adverse maternal and neonatal outcomes simultaneously.
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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Complicaciones Infecciosas del Embarazo / COVID-19 Tipo de estudio: Estudio de cohorte / Estudio observacional / Estudio pronóstico Tópicos: Variantes Límite: Femenino / Humanos / Recién Nacido / Embarazo Idioma: Inglés Revista: PLoS One Asunto de la revista: Ciencia / Medicina Año: 2023 Tipo del documento: Artículo

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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Complicaciones Infecciosas del Embarazo / COVID-19 Tipo de estudio: Estudio de cohorte / Estudio observacional / Estudio pronóstico Tópicos: Variantes Límite: Femenino / Humanos / Recién Nacido / Embarazo Idioma: Inglés Revista: PLoS One Asunto de la revista: Ciencia / Medicina Año: 2023 Tipo del documento: Artículo