Annalisa Biffi1, Anna Cantarutti2, Federico Rea2, Anna Locatelli3, Rinaldo Zanini4, Giovanni Corrao2. 1. Department of Statistics and Quantitative Methods, Division of Biostatistics, Epidemiology and Public Health, University of Milano-Bicocca, Milan, Italy; National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy. Electronic address: annalisa.biffi@unimib.it. 2. Department of Statistics and Quantitative Methods, Division of Biostatistics, Epidemiology and Public Health, University of Milano-Bicocca, Milan, Italy; National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy. 3. Obstetrics and Gynecology Unit, School of Medicine and Surgery, University of Milano Bicocca, Milan, Italy. 4. Woman and Child Health Department, Azienda Ospedaliera Della Provincia di Lecco, Lecco, Italy(1).
Abstract
BACKGROUND: Pregnant women who suffer from depressive disorders are likely to be treated with antidepressant (AD) medications. Recent meta-analyses underlined the possible relation between AD use and several neonatal outcomes, although the underlying mechanisms remains unclear. METHODS: To summarise and evaluate the associations between AD use in pregnancy and neonatal outcomes, we conducted an umbrella review of meta-analyses of observational studies published up to December 2019 in PubMed and Embase. Summary risk estimates for the associations between use of AD as a whole, or specific AD classes and drugs, and the risk of neonatal outcomes were reported. RESULTS: Our review included 22 meta-analyses investigating 69 associations. However, none were supported by convincing evidence. Highly suggestive evidence regarded the associations between (i) any time AD exposure and the risk of preterm birth (relative risk, 1.68; 95% confidence interval 1.52, 1.86), (ii) any time exposure to selective serotonin reuptake inhibitors (SSRIs) and the risk of preterm birth (1.43; 1.22, 1.37) and (iii) respiratory distress (1.33; 1.14, 1.55), and (iv) SSRI exposure during the first trimester of pregnancy and the risk of cardiovascular malformations (1.25; 1.13, 1.39). Suggestive evidence was obtained for any time AD exposure on 1-min low Apgar score (absolute average difference, -0.34; -0.53, -0.14). CONCLUSIONS: Overall, the effects of AD exposure during pregnancy on neonatal outcomes have been extensively studied, but few of the associations are graded as high quality evidence. More prospective studies and large collaborations with comprehensive standardised reporting of analyses are needed.
BACKGROUND: Pregnant women who suffer from depressive disorders are likely to be treated with antidepressant (AD) medications. Recent meta-analyses underlined the possible relation between AD use and several neonatal outcomes, although the underlying mechanisms remains unclear. METHODS: To summarise and evaluate the associations between AD use in pregnancy and neonatal outcomes, we conducted an umbrella review of meta-analyses of observational studies published up to December 2019 in PubMed and Embase. Summary risk estimates for the associations between use of AD as a whole, or specific AD classes and drugs, and the risk of neonatal outcomes were reported. RESULTS: Our review included 22 meta-analyses investigating 69 associations. However, none were supported by convincing evidence. Highly suggestive evidence regarded the associations between (i) any time AD exposure and the risk of preterm birth (relative risk, 1.68; 95% confidence interval 1.52, 1.86), (ii) any time exposure to selective serotonin reuptake inhibitors (SSRIs) and the risk of preterm birth (1.43; 1.22, 1.37) and (iii) respiratory distress (1.33; 1.14, 1.55), and (iv) SSRI exposure during the first trimester of pregnancy and the risk of cardiovascular malformations (1.25; 1.13, 1.39). Suggestive evidence was obtained for any time AD exposure on 1-min low Apgar score (absolute average difference, -0.34; -0.53, -0.14). CONCLUSIONS: Overall, the effects of AD exposure during pregnancy on neonatal outcomes have been extensively studied, but few of the associations are graded as high quality evidence. More prospective studies and large collaborations with comprehensive standardised reporting of analyses are needed.
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