A Bayesian Stepwise Discriminant Model for Predicting Risk Factors of Preterm Premature Rupture of Membranes： A Case-control Study
A Bayesian Stepwise Discriminant Model for Predicting Risk Factors of Preterm Premature Rupture of Membranes： A Case-control Study作者机构：Department of Microbiology and Immunology Health Science Center Xi'an Jiaotong University Xi'an Shaanxi 710061 China Deparment of Clinical Laboratory Shaanxi Provincial People's Hospital Xi'an Shaanxi 710068 China Department of Medical Statistics Shaanxi Provincial People's Hospital Xi'an Shaanxi 710068 China Deparment of Clinical Laboratory Xi'an Fourth Hospital Xi'an Shaanxi 710004 China Deparment of Clinical Laboratory Xi'an Gaoxin Hospital Xi'an Shaanxi 710075 China Deparment of Clinical Laboratory Chang'an Hospital Xi'an Shaanxi 710018 China Department of Obstetrics and Gynecology The Northwest Women and Children Hospital Xi'an Shaanxi 710061 China
出 版 物：《Chinese Medical Journal》 (中华医学杂志（英文版）)
年 卷 期：2017年第130卷第20期
页 面：2416-2422页
核心收录：
学科分类：0832[工学-食品科学与工程（可授工学、农学学位）] 08[工学] 09[农学] 0904[农学-植物保护] 090401[农学-植物病理学] 090402[农学-农业昆虫与害虫防治] 0836[工学-生物工程] 082203[工学-发酵工程] 0822[工学-轻工技术与工程] 083203[工学-农产品加工及贮藏工程]
基 金：supported by grants from the Natural Science Found of Shaanxi Province
主 题：Bayesian Stepwise Discfiminant Analysis EtiologicalFactors Infection Preterm Premature Rupture of Membranes
摘 要：Background： Preterm premature rapture of membrane （PPROM） can lead to serious consequences such as intrauterine infection, prolapse of the umbilical cord, and neonatal respiratory distress syndrome. Genital infection is a very important risk which closely related with PPROM. The preliminary study only made qualitative research on genital infection, but there was no deep and clear judgment about the effects of pathogenic bacteria. This study was to analyze the association of in fections with PPROM in pregnant women in Shaanxi, China, and to establish Bayesian stepwise discriminant analysis to predict the incidence of PPROM. Methods： In training group, the 112 pregnant women with PPROM were enrolled in the case subgroup, and 108 normal pregnant women in the control subgroup using an unmatched case-control method. The sociodemographic characteristics of these participants were collected by face-to-face interviews. Vaginal excretions fiom each participant were sampled at 28 36-6 weeks of pregnancy using a sterile swab. DNA corresponding to Chlamrdia trachomalix （CT）, Ureaplasma urealyticwn （UU）, Candida albicans, group B streptococci （GBS）, herpes simplex virus- 1 （HSV-1）, and HSV-2 were detected in each participant by real-time polymerase chain reaction. A model of Bayesian discriminant analysis was established and then verified by a mull）center validation group that included 500 participants in the case subgroup and 5（10 participants in the control subgroup from five different hospitals in the Shaanxi province, respectively. Results： The sociological characteristics were not significantly different between the case and control subgroups in both training and validation groups （all P 〉 0.05）. In training group, the infection rates of UU （11.6% vs. 3.7%）, CT （17.0% vs. 5.6%）, and GBS （22.3% vs. 6.5%） showed statistically different between the case and control subgroups （all P 〈 0.05）, Iog-transfomacd quantification of UU, CE GBS, and HSV-2 showed statistically different
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