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Lack of evidence for effects of lockdowns on stillbirth rates during the SARS-CoV-2 pandemic in Bavaria: analysis of the Bavarian perinatal survey from 2010 to 2020.
Stumpfe, Florian Matthias; Schneider, Michael Oliver; Antoniadis, Sophia; Mayr, Andreas; Fleckenstein, Tobias; Staerk, Christian; Kehl, Sven; Hermanek, Peter; Böhm, Julian; Scharl, Anton; Beckmann, Matthias Wilhelm; Hein, Alexander.
  • Stumpfe FM; Department of Obstetrics and Gynecology, Friedrich-Alexander-Universität Erlangen-Nürnberg, University Hospital of Erlangen, Universitätsstraße 21-23, 91054, Erlangen, Germany. florian.stumpfe@fau.de.
  • Schneider MO; Department of Obstetrics and Gynecology, Friedrich-Alexander-Universität Erlangen-Nürnberg, University Hospital of Erlangen, Universitätsstraße 21-23, 91054, Erlangen, Germany.
  • Antoniadis S; Department of Obstetrics and Gynecology, Friedrich-Alexander-Universität Erlangen-Nürnberg, University Hospital of Erlangen, Universitätsstraße 21-23, 91054, Erlangen, Germany.
  • Mayr A; Department of Medical Biometry, Informatics and Epidemiology, Faculty of Medicine, University of Bonn, Bonn, Germany.
  • Fleckenstein T; Department of Medical Biometry, Informatics and Epidemiology, Faculty of Medicine, University of Bonn, Bonn, Germany.
  • Staerk C; Department of Medical Biometry, Informatics and Epidemiology, Faculty of Medicine, University of Bonn, Bonn, Germany.
  • Kehl S; Department of Obstetrics and Gynecology, Friedrich-Alexander-Universität Erlangen-Nürnberg, University Hospital of Erlangen, Universitätsstraße 21-23, 91054, Erlangen, Germany.
  • Hermanek P; Department of Methods and Perinatology, BAQ, Bavarian Institute for Quality Assurance, Munich, Germany.
  • Böhm J; Department of Methods and Perinatology, BAQ, Bavarian Institute for Quality Assurance, Munich, Germany.
  • Scharl A; Klinik Bad Trissl, Oberaudorf, Germany.
  • Beckmann MW; Department of Obstetrics and Gynecology, Friedrich-Alexander-Universität Erlangen-Nürnberg, University Hospital of Erlangen, Universitätsstraße 21-23, 91054, Erlangen, Germany.
  • Hein A; Department of Obstetrics and Gynecology, Friedrich-Alexander-Universität Erlangen-Nürnberg, University Hospital of Erlangen, Universitätsstraße 21-23, 91054, Erlangen, Germany.
Arch Gynecol Obstet ; 2022 Nov 09.
Article in English | MEDLINE | ID: covidwho-2103879
ABSTRACT

BACKGROUND:

Internationally, potential effects of national SARS-CoV-2-related lockdowns on stillbirth rates have been reported, but data for Germany, including risk factors for fetal pregnancy outcome, are lacking. The aim of this study is to compare the stillbirth rates during the two first lockdown periods in 2020 with previous years from 2010 to 2019 in a large Bavarian cohort.

METHODS:

This study is a secondary analysis of the Bavarian perinatal data from 2010 to 2020, including 349,245 births. Univariate and multivariable regression analyses were performed to investigate the effect of two Bavarian lockdowns on the stillbirth rate in 2020 compared to the corresponding periods from 2010 to 2019.

RESULTS:

During the first lockdown, the stillbirth rate was significantly higher compared to the reference period (4.04 vs. 3.03 stillbirths per 1000 births; P = 0.03). After adjustment for seasonal and long-term trends, this effect can no longer be observed (P = 0.2). During the second lockdown, the stillbirth rate did not differ in univariate (3.46 vs. 2.93 stillbirths per 1000 births; P = 0.22) as well as in multivariable analyses (P = 0.68), compared to the years 2010 to 2019.

CONCLUSION:

After adjustment for known long-term effects, in this study we did not find evidence that the two Bavarian lockdowns had an effect on the rate of stillbirths.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Language: English Journal subject: Gynecology / Obstetrics Year: 2022 Document Type: Article Affiliation country: S00404-022-06838-0

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Language: English Journal subject: Gynecology / Obstetrics Year: 2022 Document Type: Article Affiliation country: S00404-022-06838-0