Development of a Novel Nomogram for Predicting Premature Rupture of Membrane in Pregnant Women With Vulvovaginal Candidiasis

Objective: The aim of this study was to develop a nomogram to predict the risk of premature rupture of membrane (PROM) in pregnant women with vulvovaginal candidiasis (VVC).Patients and methods: We developed a prediction model based on a training dataset of 417 gravidas with VVC, the data were colle...

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Autores principales:	Lilin Yang, Haikuan Wang, Yanfang Li, Cheng Zeng, Xi Lin, Jie Gao, Songping Luo
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	premature rupture of membrane nomogram predictor vulvovaginal candidiasis pregnant women Medicine (General) R5-920
Acceso en línea:	https://doaj.org/article/752e43f2e3b0486a89f2da48326c0b78
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spelling	oai:doaj.org-article:752e43f2e3b0486a89f2da48326c0b782021-11-15T06:01:00ZDevelopment of a Novel Nomogram for Predicting Premature Rupture of Membrane in Pregnant Women With Vulvovaginal Candidiasis2296-858X10.3389/fmed.2021.717978https://doaj.org/article/752e43f2e3b0486a89f2da48326c0b782021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fmed.2021.717978/fullhttps://doaj.org/toc/2296-858XObjective: The aim of this study was to develop a nomogram to predict the risk of premature rupture of membrane (PROM) in pregnant women with vulvovaginal candidiasis (VVC).Patients and methods: We developed a prediction model based on a training dataset of 417 gravidas with VVC, the data were collected from January 2013 to December 2020. The least absolute shrinkage and selection operator regression model was used to optimize feature selection for the model. Multivariable logistic regression analysis was applied to build a prediction model incorporating the feature selected in the least absolute shrinkage and selection operator regression model. Discrimination, calibration, and clinical usefulness of the prediction model were assessed using the C-index, calibration plot, and decision curve analysis. Internal validation was assessed using bootstrapping validation.Results: Predictors contained in the prediction nomogram included age, regular perinatal visits, history of VVC before pregnancy, symptoms with VVC, cured of VVC during pregnancy, and bacterial vaginitis. The model displayed discrimination with a C-index of 0.684 (95% confidence interval: 0.631–0.737). Decision curve analysis showed that the PROM nomogram was clinically useful when intervention was decided at a PROM possibility threshold of 13%.Conclusion: This novel PROM nomogram incorporating age, regular perinatal visits, history of VVC before pregnancy, symptoms with VVC, cured of VVC during pregnancy, and bacterial vaginitis could be conveniently used to facilitate PROM risk prediction in gravidas.Lilin YangHaikuan WangYanfang LiCheng ZengXi LinJie GaoSongping LuoFrontiers Media S.A.articlepremature rupture of membranenomogrampredictorvulvovaginal candidiasispregnant womenMedicine (General)R5-920ENFrontiers in Medicine, Vol 8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	premature rupture of membrane nomogram predictor vulvovaginal candidiasis pregnant women Medicine (General) R5-920
spellingShingle	premature rupture of membrane nomogram predictor vulvovaginal candidiasis pregnant women Medicine (General) R5-920 Lilin Yang Haikuan Wang Yanfang Li Cheng Zeng Xi Lin Jie Gao Songping Luo Development of a Novel Nomogram for Predicting Premature Rupture of Membrane in Pregnant Women With Vulvovaginal Candidiasis
description	Objective: The aim of this study was to develop a nomogram to predict the risk of premature rupture of membrane (PROM) in pregnant women with vulvovaginal candidiasis (VVC).Patients and methods: We developed a prediction model based on a training dataset of 417 gravidas with VVC, the data were collected from January 2013 to December 2020. The least absolute shrinkage and selection operator regression model was used to optimize feature selection for the model. Multivariable logistic regression analysis was applied to build a prediction model incorporating the feature selected in the least absolute shrinkage and selection operator regression model. Discrimination, calibration, and clinical usefulness of the prediction model were assessed using the C-index, calibration plot, and decision curve analysis. Internal validation was assessed using bootstrapping validation.Results: Predictors contained in the prediction nomogram included age, regular perinatal visits, history of VVC before pregnancy, symptoms with VVC, cured of VVC during pregnancy, and bacterial vaginitis. The model displayed discrimination with a C-index of 0.684 (95% confidence interval: 0.631–0.737). Decision curve analysis showed that the PROM nomogram was clinically useful when intervention was decided at a PROM possibility threshold of 13%.Conclusion: This novel PROM nomogram incorporating age, regular perinatal visits, history of VVC before pregnancy, symptoms with VVC, cured of VVC during pregnancy, and bacterial vaginitis could be conveniently used to facilitate PROM risk prediction in gravidas.
format	article
author	Lilin Yang Haikuan Wang Yanfang Li Cheng Zeng Xi Lin Jie Gao Songping Luo
author_facet	Lilin Yang Haikuan Wang Yanfang Li Cheng Zeng Xi Lin Jie Gao Songping Luo
author_sort	Lilin Yang
title	Development of a Novel Nomogram for Predicting Premature Rupture of Membrane in Pregnant Women With Vulvovaginal Candidiasis
title_short	Development of a Novel Nomogram for Predicting Premature Rupture of Membrane in Pregnant Women With Vulvovaginal Candidiasis
title_full	Development of a Novel Nomogram for Predicting Premature Rupture of Membrane in Pregnant Women With Vulvovaginal Candidiasis
title_fullStr	Development of a Novel Nomogram for Predicting Premature Rupture of Membrane in Pregnant Women With Vulvovaginal Candidiasis
title_full_unstemmed	Development of a Novel Nomogram for Predicting Premature Rupture of Membrane in Pregnant Women With Vulvovaginal Candidiasis
title_sort	development of a novel nomogram for predicting premature rupture of membrane in pregnant women with vulvovaginal candidiasis
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/752e43f2e3b0486a89f2da48326c0b78
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Development of a Novel Nomogram for Predicting Premature Rupture of Membrane in Pregnant Women With Vulvovaginal Candidiasis

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