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

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

开发一种新的列线图来预测患有外阴阴道念珠菌病的孕妇膜过早破裂

DOI:
10.3389/fmed.2021.717978
复制
发表时间:
2021
影响因子:
3.9
通讯作者:
Luo S
Luo S
中科院分区:
医学3区
文献类型:
--
作者:
Yang L;Wang H;Li Y;Zeng C;Lin X;Gao J;Luo S

文献摘要

参考文献

相似文献

目的:建立预测外阴阴道念珠菌病(VVC)孕妇胎膜早破(PROM)风险的诺模图。患者和方法:我们根据2013年1月至2020年12月收集的417例VVC孕妇的训练数据集建立了预测模型。利用最小绝对收缩和选择算子回归模型对模型的特征选择进行优化。应用多元Logistic回归分析,将最小绝对收缩和选择算子回归模型中选取的特征相结合,建立预测模型。使用C指数、校准曲线图和决策曲线分析来评估预测模型的区分性、校准和临床实用性。内部验证使用自举验证进行评估。结果:预测图中包含的预测因素有年龄、围产期定期探视、孕前VVC病史、VVC症状、孕期VVC治愈、细菌性阴道炎。该模型的C指数为0.684(95%可信区间:0.631-0.737),显示出一定的区分性。决策曲线分析显示胎膜早破正常图在胎膜早破可能性阈值为13%时具有临床应用价值。结论:这一新的胎膜早破图包括年龄、围产期定期探视、孕前VVC病史、VVC症状、孕期VVC治愈、细菌性阴道炎,可方便地用于预测妊娠合并胎膜早破的风险。
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.
DOI: 10.1038/s41598-021-93613-x
发表时间: 2021-07-07
期刊: Scientific reports
影响因子: 4.6
作者:
Getaneh T;Asres A;Hiyaru T;Lake S
通讯作者: Lake S
DOI: 10.1002/sim.1802
发表时间: 2004-07-15
影响因子: 2
作者:
Pencina, MJ;D'Agostino, RB
通讯作者: D'Agostino, RB
DOI: 10.1177/0954411912468557
发表时间: 2013-01-01
影响因子: 1.8
作者:
Micili, Serap C.;Valter, Markus;Artmann, Aysegul T.
通讯作者: Artmann, Aysegul T.
案例控制研究的梅克尔市公立医院中膜过早破裂的危险因素。
DOI: 10.1186/s12884-018-2016-6
发表时间: 2018-09-29
影响因子: 3.1
作者:
Assefa NE;Berhe H;Girma F;Berhe K;Berhe YZ;Gebreheat G;Werid WM;Berhe A;Rufae HB;Welu G
通讯作者: Welu G
DOI: 10.1177/0300060519841160
发表时间: 2019-06-01
影响因子: 1.6
作者:
Liang, Haifeng;Xie, Zhiqiang;Zhao, Guanghui
通讯作者: Zhao, Guanghui