COVID-19 in pregnancy: characteristics and outcomes of pregnant women admitted to hospital because of SARS-CoV-2 infection in the Nordic countries.

Engjom, H.; Aabakke, A.; Klungsoyr, K.; Svanvik, T.; Ayras, O.; Jonasdottir, E.; Thurn, L.; Petterson, K.; Jones, E.; Kallen, K.; Nyflot, L. T.; Al-Zirqi, I.; Vangen, S.; Juliusson, P.; Gissler, M.; Krebs, L.

Introduction Population-based studies about the consequences of SARS-CoV-2 infection (COVID-19) in pregnancy are few and have limited generalizability to the Nordic population and health care systems. Material and method This study examines pregnant women with COVID-19 in the five Nordic countries. Pregnant women were included if they were admitted to hospital between March 1 and June 30, 2020 and had a positive SARS-CoV-2 PCR test 14 days or fewer prior to the admission. Cause of admission was classified as either obstetric or COVID-19 related. Results In the study areas, 214 pregnant women with a positive test were admitted to hospital, of which 56 women needed hospital care due to COVID-19. The rate of admission due to COVID-19 was 0.4 per 1000 deliveries in Denmark, Finland, and Norway and 3.8 per 1000 deliveries in the Swedish regions. Women hospitalized because of COVID-19 were more frequently obese (P < 0.001) and had migrant background (P < 0.001) compared to the total population of women who delivered in 2018. Twelve women (21.4%) needed intensive care. Preterm delivery (n=12, 25%, P < 0.001) and cesarean delivery (n=21, 43,8%, P < 0.001) were more frequent in women with COVID-19 compared to the women who delivered in 2018. No maternal deaths, stillbirths or neonatal deaths were reported. Conclusion The risk of admission due to severe COVID-19 disease in pregnancy was low in the Nordic countries. A fifth of the women required intensive care and we observed higher rates of preterm and cesarean deliveries. National public health policies appear to have had an impact on the rates of admission due to severe COVID-19 disease in pregnancy. Nordic collaboration is important in collecting robust data and assessing rare outcomes.