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Nomogram to predict postpartum hemorrhage in cesarean delivery for twin pregnancies: a retrospective cohort study in China

BACKGROUND: Postpartum hemorrhage (PPH) is the most common cause of maternal morbidity and mortality worldwide. A reliable risk assessment tool for PPH could optimize available interventions to reduce adverse maternal outcomes. OBJECTIVE: The objective of this study was to explore a nomogram predict...

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Autores principales: Zhang, Yanhua, Chen, Lu, Zhou, Weixiao, Lin, Jun, Wen, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151667/
https://www.ncbi.nlm.nih.gov/pubmed/37144027
http://dx.doi.org/10.3389/fmed.2023.1139430
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author Zhang, Yanhua
Chen, Lu
Zhou, Weixiao
Lin, Jun
Wen, Hong
author_facet Zhang, Yanhua
Chen, Lu
Zhou, Weixiao
Lin, Jun
Wen, Hong
author_sort Zhang, Yanhua
collection PubMed
description BACKGROUND: Postpartum hemorrhage (PPH) is the most common cause of maternal morbidity and mortality worldwide. A reliable risk assessment tool for PPH could optimize available interventions to reduce adverse maternal outcomes. OBJECTIVE: The objective of this study was to explore a nomogram predicting the risk of postpartum hemorrhage after cesarean delivery for twin pregnancies. METHODS: This single-center retrospective cohort study conducted twin pregnancies who underwent cesarean delivery between January 2014 and July 2021. Propensity score matching at baseline was used to match PPH (blood loss ≥1000 mL) and non-PPH group (blood loss <1000 mL). A nomogram was developed to predict the risk of PPH in cesarean delivery for twin pregnancies. The receiver operating characteristic curve (ROC), calibration plot, and decision curve analysis (DCA) were, respectively, used to evaluate the discrimination, calibration, and clinical utility of the prediction models. RESULTS: After propensity score matching, 186 twin pregnancies in the PPH group were matched with 186 controls in the non-PPH group. Seven independent prognostic variables, including antepartum albumin, assisted reproductive technology, hypertensive disorders of pregnancy, placenta previa, placenta accrete spectrum, intrapartum cesarean delivered, and estimated weights of twins, were used to build the nomogram. Based on the performance of the model, it appears that a good calibration (Hosmer–Lemeshow χ(2) = 4.84, P > 0.05), an excellent predictive ability (area under the curve: 0.778, 95% CI: 0.732–0.825), and a good positive net benefit in the predictive model have been achieved. CONCLUSION: The nomogram was first generated to predict PPH in cesarean delivery for twin pregnancies, which could help clinicians to provide a reference for the preoperative surgical plan, choose optimal treatments, optimize healthcare resources, and thereby reduce the associated adverse maternal outcomes.
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spelling pubmed-101516672023-05-03 Nomogram to predict postpartum hemorrhage in cesarean delivery for twin pregnancies: a retrospective cohort study in China Zhang, Yanhua Chen, Lu Zhou, Weixiao Lin, Jun Wen, Hong Front Med (Lausanne) Medicine BACKGROUND: Postpartum hemorrhage (PPH) is the most common cause of maternal morbidity and mortality worldwide. A reliable risk assessment tool for PPH could optimize available interventions to reduce adverse maternal outcomes. OBJECTIVE: The objective of this study was to explore a nomogram predicting the risk of postpartum hemorrhage after cesarean delivery for twin pregnancies. METHODS: This single-center retrospective cohort study conducted twin pregnancies who underwent cesarean delivery between January 2014 and July 2021. Propensity score matching at baseline was used to match PPH (blood loss ≥1000 mL) and non-PPH group (blood loss <1000 mL). A nomogram was developed to predict the risk of PPH in cesarean delivery for twin pregnancies. The receiver operating characteristic curve (ROC), calibration plot, and decision curve analysis (DCA) were, respectively, used to evaluate the discrimination, calibration, and clinical utility of the prediction models. RESULTS: After propensity score matching, 186 twin pregnancies in the PPH group were matched with 186 controls in the non-PPH group. Seven independent prognostic variables, including antepartum albumin, assisted reproductive technology, hypertensive disorders of pregnancy, placenta previa, placenta accrete spectrum, intrapartum cesarean delivered, and estimated weights of twins, were used to build the nomogram. Based on the performance of the model, it appears that a good calibration (Hosmer–Lemeshow χ(2) = 4.84, P > 0.05), an excellent predictive ability (area under the curve: 0.778, 95% CI: 0.732–0.825), and a good positive net benefit in the predictive model have been achieved. CONCLUSION: The nomogram was first generated to predict PPH in cesarean delivery for twin pregnancies, which could help clinicians to provide a reference for the preoperative surgical plan, choose optimal treatments, optimize healthcare resources, and thereby reduce the associated adverse maternal outcomes. Frontiers Media S.A. 2023-04-18 /pmc/articles/PMC10151667/ /pubmed/37144027 http://dx.doi.org/10.3389/fmed.2023.1139430 Text en Copyright © 2023 Zhang, Chen, Zhou, Lin and Wen. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Zhang, Yanhua
Chen, Lu
Zhou, Weixiao
Lin, Jun
Wen, Hong
Nomogram to predict postpartum hemorrhage in cesarean delivery for twin pregnancies: a retrospective cohort study in China
title Nomogram to predict postpartum hemorrhage in cesarean delivery for twin pregnancies: a retrospective cohort study in China
title_full Nomogram to predict postpartum hemorrhage in cesarean delivery for twin pregnancies: a retrospective cohort study in China
title_fullStr Nomogram to predict postpartum hemorrhage in cesarean delivery for twin pregnancies: a retrospective cohort study in China
title_full_unstemmed Nomogram to predict postpartum hemorrhage in cesarean delivery for twin pregnancies: a retrospective cohort study in China
title_short Nomogram to predict postpartum hemorrhage in cesarean delivery for twin pregnancies: a retrospective cohort study in China
title_sort nomogram to predict postpartum hemorrhage in cesarean delivery for twin pregnancies: a retrospective cohort study in china
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151667/
https://www.ncbi.nlm.nih.gov/pubmed/37144027
http://dx.doi.org/10.3389/fmed.2023.1139430
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