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Trends in Caesarean Section Rate According to Robson Group Classification among Pregnant Women with SARS-CoV-2 Infection: A Single-Center Large Cohort Study in Italy

Background: Since there is no available data on temporal trends of caesarean section (CS) rates in pregnant women with COVID-19 through the pandemic, we aimed to analyze the trends in caesarean section rate in a large cohort of pregnant women with COVID-19, according to the Robson Ten Group Classifi...

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Autores principales: Sirico, Angelo, Carbone, Luigi, Avino, Luisa, Buonfantino, Cira, De Angelis, Maria Chiara, Cresce, Marco Di, Fabozzi, Annamaria, Improda, Francesco Paolo, Legnante, Antonietta, Riccardi, Carla, Santoro, Romina, Vallone, Roberta, Zizolfi, Brunella, Buonomo, Antonio Riccardo, Gentile, Ivan, Salomè, Serena, Raimondi, Francesco, Bifulco, Giuseppe, Guida, Maurizio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9656072/
https://www.ncbi.nlm.nih.gov/pubmed/36362731
http://dx.doi.org/10.3390/jcm11216503
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author Sirico, Angelo
Carbone, Luigi
Avino, Luisa
Buonfantino, Cira
De Angelis, Maria Chiara
Cresce, Marco Di
Fabozzi, Annamaria
Improda, Francesco Paolo
Legnante, Antonietta
Riccardi, Carla
Santoro, Romina
Vallone, Roberta
Zizolfi, Brunella
Buonomo, Antonio Riccardo
Gentile, Ivan
Salomè, Serena
Raimondi, Francesco
Bifulco, Giuseppe
Guida, Maurizio
author_facet Sirico, Angelo
Carbone, Luigi
Avino, Luisa
Buonfantino, Cira
De Angelis, Maria Chiara
Cresce, Marco Di
Fabozzi, Annamaria
Improda, Francesco Paolo
Legnante, Antonietta
Riccardi, Carla
Santoro, Romina
Vallone, Roberta
Zizolfi, Brunella
Buonomo, Antonio Riccardo
Gentile, Ivan
Salomè, Serena
Raimondi, Francesco
Bifulco, Giuseppe
Guida, Maurizio
author_sort Sirico, Angelo
collection PubMed
description Background: Since there is no available data on temporal trends of caesarean section (CS) rates in pregnant women with COVID-19 through the pandemic, we aimed to analyze the trends in caesarean section rate in a large cohort of pregnant women with COVID-19, according to the Robson Ten Group Classification System of deliveries. Methods: We prospectively enrolled pregnant women with a diagnosis of COVID-19 who delivered in our center between March 2020 and November 2021. Deliveries were classified, according to the Robson group classification, and according to three time periods: (1) deliveries from March 2020 to December 2020; (2) deliveries from January 2021 to April 2021; (3) deliveries from May 2021 to November 2021. We compared pregnancy characteristics and incidence of caesarean section, according to the Robson category in the total population, and according to the three time periods. Results: We included 457 patients matching the inclusion criteria in our analysis. We found that overall CS rate significantly decreased over time from period 1 to period 3 (152/222, 68.5% vs. 81/134, 60.4% vs. 58/101, 57.4%, χ(2) = 4.261, p = 0.039). CS rate significantly decreased over time in Robson category 1 (48/80, 60% vs. 27/47,57.4% vs. 8/24, 33.3%, χ(2) = 4.097, p = 0.043) and Robson category 3 (13/42, 31% vs. 6/33, 18.2% vs. 2/22, 9.1%, χ(2) = 4.335, p = 0.037). We also found that the incidence of induction of labor significantly increased over time (8/222, 3.6% vs. 12/134, 9% vs. 11/101, 10.9%, χ(2) = 7.245, p = 0.027). Conclusion: Our data provide an overview of the temporal changes in the management and obstetric outcome of COVID-19 pregnant women through the pandemic, confirming that standards of obstetrical assistance for pregnancies complicated by SARS-CoV-2 infection improved over time.
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spelling pubmed-96560722022-11-15 Trends in Caesarean Section Rate According to Robson Group Classification among Pregnant Women with SARS-CoV-2 Infection: A Single-Center Large Cohort Study in Italy Sirico, Angelo Carbone, Luigi Avino, Luisa Buonfantino, Cira De Angelis, Maria Chiara Cresce, Marco Di Fabozzi, Annamaria Improda, Francesco Paolo Legnante, Antonietta Riccardi, Carla Santoro, Romina Vallone, Roberta Zizolfi, Brunella Buonomo, Antonio Riccardo Gentile, Ivan Salomè, Serena Raimondi, Francesco Bifulco, Giuseppe Guida, Maurizio J Clin Med Article Background: Since there is no available data on temporal trends of caesarean section (CS) rates in pregnant women with COVID-19 through the pandemic, we aimed to analyze the trends in caesarean section rate in a large cohort of pregnant women with COVID-19, according to the Robson Ten Group Classification System of deliveries. Methods: We prospectively enrolled pregnant women with a diagnosis of COVID-19 who delivered in our center between March 2020 and November 2021. Deliveries were classified, according to the Robson group classification, and according to three time periods: (1) deliveries from March 2020 to December 2020; (2) deliveries from January 2021 to April 2021; (3) deliveries from May 2021 to November 2021. We compared pregnancy characteristics and incidence of caesarean section, according to the Robson category in the total population, and according to the three time periods. Results: We included 457 patients matching the inclusion criteria in our analysis. We found that overall CS rate significantly decreased over time from period 1 to period 3 (152/222, 68.5% vs. 81/134, 60.4% vs. 58/101, 57.4%, χ(2) = 4.261, p = 0.039). CS rate significantly decreased over time in Robson category 1 (48/80, 60% vs. 27/47,57.4% vs. 8/24, 33.3%, χ(2) = 4.097, p = 0.043) and Robson category 3 (13/42, 31% vs. 6/33, 18.2% vs. 2/22, 9.1%, χ(2) = 4.335, p = 0.037). We also found that the incidence of induction of labor significantly increased over time (8/222, 3.6% vs. 12/134, 9% vs. 11/101, 10.9%, χ(2) = 7.245, p = 0.027). Conclusion: Our data provide an overview of the temporal changes in the management and obstetric outcome of COVID-19 pregnant women through the pandemic, confirming that standards of obstetrical assistance for pregnancies complicated by SARS-CoV-2 infection improved over time. MDPI 2022-11-02 /pmc/articles/PMC9656072/ /pubmed/36362731 http://dx.doi.org/10.3390/jcm11216503 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sirico, Angelo
Carbone, Luigi
Avino, Luisa
Buonfantino, Cira
De Angelis, Maria Chiara
Cresce, Marco Di
Fabozzi, Annamaria
Improda, Francesco Paolo
Legnante, Antonietta
Riccardi, Carla
Santoro, Romina
Vallone, Roberta
Zizolfi, Brunella
Buonomo, Antonio Riccardo
Gentile, Ivan
Salomè, Serena
Raimondi, Francesco
Bifulco, Giuseppe
Guida, Maurizio
Trends in Caesarean Section Rate According to Robson Group Classification among Pregnant Women with SARS-CoV-2 Infection: A Single-Center Large Cohort Study in Italy
title Trends in Caesarean Section Rate According to Robson Group Classification among Pregnant Women with SARS-CoV-2 Infection: A Single-Center Large Cohort Study in Italy
title_full Trends in Caesarean Section Rate According to Robson Group Classification among Pregnant Women with SARS-CoV-2 Infection: A Single-Center Large Cohort Study in Italy
title_fullStr Trends in Caesarean Section Rate According to Robson Group Classification among Pregnant Women with SARS-CoV-2 Infection: A Single-Center Large Cohort Study in Italy
title_full_unstemmed Trends in Caesarean Section Rate According to Robson Group Classification among Pregnant Women with SARS-CoV-2 Infection: A Single-Center Large Cohort Study in Italy
title_short Trends in Caesarean Section Rate According to Robson Group Classification among Pregnant Women with SARS-CoV-2 Infection: A Single-Center Large Cohort Study in Italy
title_sort trends in caesarean section rate according to robson group classification among pregnant women with sars-cov-2 infection: a single-center large cohort study in italy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9656072/
https://www.ncbi.nlm.nih.gov/pubmed/36362731
http://dx.doi.org/10.3390/jcm11216503
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