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Risk score for predicting primary cesarean delivery in women with gestational diabetes mellitus
BACKGROUND: Women with gestational diabetes mellitus (GDM) have a higher risk of cesarean delivery (CD) than glucose-tolerant women. The aim of this study was to develop and validate a risk score for predicting primary CD in women with GDM. METHODS: A risk score for predicting primary CD was develop...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7545573/ https://www.ncbi.nlm.nih.gov/pubmed/33032545 http://dx.doi.org/10.1186/s12884-020-03306-y |
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author | Phaloprakarn, Chadakarn Tangjitgamol, Siriwan |
author_facet | Phaloprakarn, Chadakarn Tangjitgamol, Siriwan |
author_sort | Phaloprakarn, Chadakarn |
collection | PubMed |
description | BACKGROUND: Women with gestational diabetes mellitus (GDM) have a higher risk of cesarean delivery (CD) than glucose-tolerant women. The aim of this study was to develop and validate a risk score for predicting primary CD in women with GDM. METHODS: A risk score for predicting primary CD was developed using significant clinical features of 385 women who had a diagnosis of GDM and delivered at our institution between January 2011 and December 2014. The score was then tested for validity in another cohort of 448 individuals with GDM who delivered between January 2015 and December 2018. RESULTS: The risk score was developed using the features nulliparity, excess gestational weight gain, and insulin use. The scores that classified the pregnant women as low risk (0 points), intermediate risk (1–3 points), and high risk (≥ 4 points) were directly associated with the primary CD rates of the women in the development cohort: 14.7, 38.2 and 62.3%, respectively (P < 0.001). The model showed good calibration and acceptable discriminative power with a C statistic of 0.724 (95% confidence interval, 0.670–0.777). Similar results were observed in the validation cohort. CONCLUSION: A risk score using the features nulliparity, excess gestational weight gain, and insulin use can estimate the risk for primary CD in women with GDM. |
format | Online Article Text |
id | pubmed-7545573 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-75455732020-10-13 Risk score for predicting primary cesarean delivery in women with gestational diabetes mellitus Phaloprakarn, Chadakarn Tangjitgamol, Siriwan BMC Pregnancy Childbirth Research Article BACKGROUND: Women with gestational diabetes mellitus (GDM) have a higher risk of cesarean delivery (CD) than glucose-tolerant women. The aim of this study was to develop and validate a risk score for predicting primary CD in women with GDM. METHODS: A risk score for predicting primary CD was developed using significant clinical features of 385 women who had a diagnosis of GDM and delivered at our institution between January 2011 and December 2014. The score was then tested for validity in another cohort of 448 individuals with GDM who delivered between January 2015 and December 2018. RESULTS: The risk score was developed using the features nulliparity, excess gestational weight gain, and insulin use. The scores that classified the pregnant women as low risk (0 points), intermediate risk (1–3 points), and high risk (≥ 4 points) were directly associated with the primary CD rates of the women in the development cohort: 14.7, 38.2 and 62.3%, respectively (P < 0.001). The model showed good calibration and acceptable discriminative power with a C statistic of 0.724 (95% confidence interval, 0.670–0.777). Similar results were observed in the validation cohort. CONCLUSION: A risk score using the features nulliparity, excess gestational weight gain, and insulin use can estimate the risk for primary CD in women with GDM. BioMed Central 2020-10-08 /pmc/articles/PMC7545573/ /pubmed/33032545 http://dx.doi.org/10.1186/s12884-020-03306-y Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Phaloprakarn, Chadakarn Tangjitgamol, Siriwan Risk score for predicting primary cesarean delivery in women with gestational diabetes mellitus |
title | Risk score for predicting primary cesarean delivery in women with gestational diabetes mellitus |
title_full | Risk score for predicting primary cesarean delivery in women with gestational diabetes mellitus |
title_fullStr | Risk score for predicting primary cesarean delivery in women with gestational diabetes mellitus |
title_full_unstemmed | Risk score for predicting primary cesarean delivery in women with gestational diabetes mellitus |
title_short | Risk score for predicting primary cesarean delivery in women with gestational diabetes mellitus |
title_sort | risk score for predicting primary cesarean delivery in women with gestational diabetes mellitus |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7545573/ https://www.ncbi.nlm.nih.gov/pubmed/33032545 http://dx.doi.org/10.1186/s12884-020-03306-y |
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