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Risk of preterm birth in maternal influenza or SARS-CoV-2 infection: a systematic review and meta-analysis
BACKGROUND: Influenza is a major threat to global health and is an important cause of respiratory diseases. However, there was a controversy on the impacts of influenza infection on adverse pregnancy outcomes and the infant’s health. This meta-analysis aimed to investigate the impact of maternal inf...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10167387/ https://www.ncbi.nlm.nih.gov/pubmed/37181014 http://dx.doi.org/10.21037/tp-23-134 |
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author | Wang, Xuan Ou, Haiwei Wu, Ying Xing, Zengli |
author_facet | Wang, Xuan Ou, Haiwei Wu, Ying Xing, Zengli |
author_sort | Wang, Xuan |
collection | PubMed |
description | BACKGROUND: Influenza is a major threat to global health and is an important cause of respiratory diseases. However, there was a controversy on the impacts of influenza infection on adverse pregnancy outcomes and the infant’s health. This meta-analysis aimed to investigate the impact of maternal influenza infection on preterm birth. METHODS: Five databases, including PubMed, Embase, Cochrane Library, Web of Science, and China National Knowledge Infrastructure (CNKI) were searched for eligible studies on December 29, 2022. The Newcastle-Ottawa Scale (NOS) was used to assess the included quality of the included studies. As for the incidence of preterm birth, odds ratios (OR) and 95% confidence intervals (CIs) were pooled, and the results of the current meta-analysis were displayed in forest plots. Subgroup analyses based on similarity in different aspects were conducted for further analysis. A funnel plot was used to assess the publication bias. All of the above data analyses were performed using STATA SE 16.0 software. RESULTS: A total of 24 studies involving 24,760,890 patients were included in this meta-analysis. Through the analysis, we found that maternal influenza infection significantly increased the risk of preterm birth (OR =1.52, 95% CI: 1.18 to 1.97, I(2)=97.35%, P=0.00). After subgroup analysis based on different types of influenzas, we found that women infected with influenza A and B (OR =2.05, 95% CI: 1.26 to 3.32, I(2)=96.14%, P<0.1), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (OR =2.16, 95% CI: 1.75 to 2.66, I(2)=0.00%, P<0.1) in pregnancy were at an increased risk of preterm birth, while those infected with influenza A alone or seasonal influenza were not (P>0.1). CONCLUSIONS: Women should take active steps to avoid influenza infection during pregnancy, especially influenza A and B and SARS-CoV-2, to reduce the possibility of preterm birth. |
format | Online Article Text |
id | pubmed-10167387 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-101673872023-05-10 Risk of preterm birth in maternal influenza or SARS-CoV-2 infection: a systematic review and meta-analysis Wang, Xuan Ou, Haiwei Wu, Ying Xing, Zengli Transl Pediatr Original Article BACKGROUND: Influenza is a major threat to global health and is an important cause of respiratory diseases. However, there was a controversy on the impacts of influenza infection on adverse pregnancy outcomes and the infant’s health. This meta-analysis aimed to investigate the impact of maternal influenza infection on preterm birth. METHODS: Five databases, including PubMed, Embase, Cochrane Library, Web of Science, and China National Knowledge Infrastructure (CNKI) were searched for eligible studies on December 29, 2022. The Newcastle-Ottawa Scale (NOS) was used to assess the included quality of the included studies. As for the incidence of preterm birth, odds ratios (OR) and 95% confidence intervals (CIs) were pooled, and the results of the current meta-analysis were displayed in forest plots. Subgroup analyses based on similarity in different aspects were conducted for further analysis. A funnel plot was used to assess the publication bias. All of the above data analyses were performed using STATA SE 16.0 software. RESULTS: A total of 24 studies involving 24,760,890 patients were included in this meta-analysis. Through the analysis, we found that maternal influenza infection significantly increased the risk of preterm birth (OR =1.52, 95% CI: 1.18 to 1.97, I(2)=97.35%, P=0.00). After subgroup analysis based on different types of influenzas, we found that women infected with influenza A and B (OR =2.05, 95% CI: 1.26 to 3.32, I(2)=96.14%, P<0.1), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (OR =2.16, 95% CI: 1.75 to 2.66, I(2)=0.00%, P<0.1) in pregnancy were at an increased risk of preterm birth, while those infected with influenza A alone or seasonal influenza were not (P>0.1). CONCLUSIONS: Women should take active steps to avoid influenza infection during pregnancy, especially influenza A and B and SARS-CoV-2, to reduce the possibility of preterm birth. AME Publishing Company 2023-04-26 2023-04-29 /pmc/articles/PMC10167387/ /pubmed/37181014 http://dx.doi.org/10.21037/tp-23-134 Text en 2023 Translational Pediatrics. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Wang, Xuan Ou, Haiwei Wu, Ying Xing, Zengli Risk of preterm birth in maternal influenza or SARS-CoV-2 infection: a systematic review and meta-analysis |
title | Risk of preterm birth in maternal influenza or SARS-CoV-2 infection: a systematic review and meta-analysis |
title_full | Risk of preterm birth in maternal influenza or SARS-CoV-2 infection: a systematic review and meta-analysis |
title_fullStr | Risk of preterm birth in maternal influenza or SARS-CoV-2 infection: a systematic review and meta-analysis |
title_full_unstemmed | Risk of preterm birth in maternal influenza or SARS-CoV-2 infection: a systematic review and meta-analysis |
title_short | Risk of preterm birth in maternal influenza or SARS-CoV-2 infection: a systematic review and meta-analysis |
title_sort | risk of preterm birth in maternal influenza or sars-cov-2 infection: a systematic review and meta-analysis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10167387/ https://www.ncbi.nlm.nih.gov/pubmed/37181014 http://dx.doi.org/10.21037/tp-23-134 |
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