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Probability of severe postpartum hemorrhage in repeat cesarean deliveries: a multicenter retrospective study in China

To determine the factors predicting the probability of severe postpartum hemorrhage (SPPH) in women undergoing repeat cesarean delivery (RCD). This multicenter, retrospective cohort study involved women who underwent RCD from January 2017 to December 2017, in 11 public tertiary hospitals within 7 pr...

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Autores principales: Du, Lili, Feng, Ling, Bi, Shilei, Zhang, Lizi, Tang, Jingman, Zhong, Liuying, Zhou, Xingnan, Tan, Hu, Huang, Lijun, Lin, Lin, Zeng, Shanshan, Ren, Luwen, Cao, Yinli, Jia, Jinping, Zhao, Xianlan, Wang, Shaoshuai, Xu, Xiaoyan, Zhao, Yangyu, Wang, Zhijian, Zhu, Qiying, Qi, Hongbo, Zhang, Lanzhen, Wen, Suiwen, Li, Hongtian, Chen, Jingsi, Chen, Dunjin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8055978/
https://www.ncbi.nlm.nih.gov/pubmed/33875708
http://dx.doi.org/10.1038/s41598-021-87830-7
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author Du, Lili
Feng, Ling
Bi, Shilei
Zhang, Lizi
Tang, Jingman
Zhong, Liuying
Zhou, Xingnan
Tan, Hu
Huang, Lijun
Lin, Lin
Zeng, Shanshan
Ren, Luwen
Cao, Yinli
Jia, Jinping
Zhao, Xianlan
Wang, Shaoshuai
Xu, Xiaoyan
Zhao, Yangyu
Wang, Zhijian
Zhu, Qiying
Qi, Hongbo
Zhang, Lanzhen
Wen, Suiwen
Li, Hongtian
Chen, Jingsi
Chen, Dunjin
author_facet Du, Lili
Feng, Ling
Bi, Shilei
Zhang, Lizi
Tang, Jingman
Zhong, Liuying
Zhou, Xingnan
Tan, Hu
Huang, Lijun
Lin, Lin
Zeng, Shanshan
Ren, Luwen
Cao, Yinli
Jia, Jinping
Zhao, Xianlan
Wang, Shaoshuai
Xu, Xiaoyan
Zhao, Yangyu
Wang, Zhijian
Zhu, Qiying
Qi, Hongbo
Zhang, Lanzhen
Wen, Suiwen
Li, Hongtian
Chen, Jingsi
Chen, Dunjin
author_sort Du, Lili
collection PubMed
description To determine the factors predicting the probability of severe postpartum hemorrhage (SPPH) in women undergoing repeat cesarean delivery (RCD). This multicenter, retrospective cohort study involved women who underwent RCD from January 2017 to December 2017, in 11 public tertiary hospitals within 7 provinces of China. The all-variables model and the multivariable logistic regression model (pre-operative, operative and simple model) were developed to estimate the probability of SPPH in development data and external validated in validation data. Discrimination and calibration were evaluated and clinical impact was determined by decision curve analysis. The study consisted of 11,074 women undergoing RCD. 278 (2.5%) women experienced SPPH. The pre-operative simple model including 9 pre-operative features, the operative simple model including 4 pre-operative and 2 intraoperative features and simple model including only 4 closely related pre-operative features showed AUC 0.888, 0.864 and 0.858 in development data and 0.921, 0.928 and 0.925 in validation data, respectively. Nomograms were developed based on predictive models for SPPH. Predictive tools based on clinical characteristics can be used to estimate the probability of SPPH in patients undergoing RCD and help to allow better preparation and management of these patients by using a multidisciplinary approach of cesarean delivery for obstetrician.
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spelling pubmed-80559782021-04-22 Probability of severe postpartum hemorrhage in repeat cesarean deliveries: a multicenter retrospective study in China Du, Lili Feng, Ling Bi, Shilei Zhang, Lizi Tang, Jingman Zhong, Liuying Zhou, Xingnan Tan, Hu Huang, Lijun Lin, Lin Zeng, Shanshan Ren, Luwen Cao, Yinli Jia, Jinping Zhao, Xianlan Wang, Shaoshuai Xu, Xiaoyan Zhao, Yangyu Wang, Zhijian Zhu, Qiying Qi, Hongbo Zhang, Lanzhen Wen, Suiwen Li, Hongtian Chen, Jingsi Chen, Dunjin Sci Rep Article To determine the factors predicting the probability of severe postpartum hemorrhage (SPPH) in women undergoing repeat cesarean delivery (RCD). This multicenter, retrospective cohort study involved women who underwent RCD from January 2017 to December 2017, in 11 public tertiary hospitals within 7 provinces of China. The all-variables model and the multivariable logistic regression model (pre-operative, operative and simple model) were developed to estimate the probability of SPPH in development data and external validated in validation data. Discrimination and calibration were evaluated and clinical impact was determined by decision curve analysis. The study consisted of 11,074 women undergoing RCD. 278 (2.5%) women experienced SPPH. The pre-operative simple model including 9 pre-operative features, the operative simple model including 4 pre-operative and 2 intraoperative features and simple model including only 4 closely related pre-operative features showed AUC 0.888, 0.864 and 0.858 in development data and 0.921, 0.928 and 0.925 in validation data, respectively. Nomograms were developed based on predictive models for SPPH. Predictive tools based on clinical characteristics can be used to estimate the probability of SPPH in patients undergoing RCD and help to allow better preparation and management of these patients by using a multidisciplinary approach of cesarean delivery for obstetrician. Nature Publishing Group UK 2021-04-19 /pmc/articles/PMC8055978/ /pubmed/33875708 http://dx.doi.org/10.1038/s41598-021-87830-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This 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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Du, Lili
Feng, Ling
Bi, Shilei
Zhang, Lizi
Tang, Jingman
Zhong, Liuying
Zhou, Xingnan
Tan, Hu
Huang, Lijun
Lin, Lin
Zeng, Shanshan
Ren, Luwen
Cao, Yinli
Jia, Jinping
Zhao, Xianlan
Wang, Shaoshuai
Xu, Xiaoyan
Zhao, Yangyu
Wang, Zhijian
Zhu, Qiying
Qi, Hongbo
Zhang, Lanzhen
Wen, Suiwen
Li, Hongtian
Chen, Jingsi
Chen, Dunjin
Probability of severe postpartum hemorrhage in repeat cesarean deliveries: a multicenter retrospective study in China
title Probability of severe postpartum hemorrhage in repeat cesarean deliveries: a multicenter retrospective study in China
title_full Probability of severe postpartum hemorrhage in repeat cesarean deliveries: a multicenter retrospective study in China
title_fullStr Probability of severe postpartum hemorrhage in repeat cesarean deliveries: a multicenter retrospective study in China
title_full_unstemmed Probability of severe postpartum hemorrhage in repeat cesarean deliveries: a multicenter retrospective study in China
title_short Probability of severe postpartum hemorrhage in repeat cesarean deliveries: a multicenter retrospective study in China
title_sort probability of severe postpartum hemorrhage in repeat cesarean deliveries: a multicenter retrospective study in china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8055978/
https://www.ncbi.nlm.nih.gov/pubmed/33875708
http://dx.doi.org/10.1038/s41598-021-87830-7
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