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严重盆腔器官脱垂发病病因的病例对照研究

Case-control study of etiologic factors in the development of severe pelvic organ prolapse.

作者信息

Swift S E, Pound T, Dias J K

机构信息

Department of Obstetrics and Gynecology, Medical University of South Carolina, Charleston 29425, USA.

出版信息

Int Urogynecol J Pelvic Floor Dysfunct. 2001;12(3):187-92. doi: 10.1007/s001920170062.

Abstract

The aim of this case-control study was to identify etiologic factors predictive for the development of severe pelvic organ prolapse. Three hundred and sixty-eight controls from a database describing pelvic organ support in the general population were identified as having known good pelvic organ support. Eighty-seven cases were identified from a urogynecology clinic with severe pelvic organ prolapse. The risk of severe prolapse was modeled using stepwise multiple logistic regression analysis. Additional analyses using chi2 and two-sample t-tests were conducted to determine differences in means for individual variables. Variables examined included age, gravidity, parity, number of vaginal deliveries, weight of largest infant delivered vaginally, menopause status, race, body mass index prior to pelvic surgery, and medical illnesses. The following four variables were selected in the regression analysis as predicting severe prolapse: age, weight of largest vaginal delivery, hysterectomy and previous prolapse surgery. Other variables that demonstrated statistically significant differences between groups by chi2 and two-sample t-tests were gravidity, parity, number of vaginal deliveries, menopausal status, race, history of incontinence surgery and the presence of hypertension. Variables that did not demonstrate any significant differences were body mass index, the presence of chronic obstructive pulmonous disease and diabetes mellitus. Advancing age, increasing weight of infants delivered vaginally, a history of hysterectomy and a history of previous prolapse surgery were found to be the strongest etiologic predictors of severe pelvic organ prolapse in our population.

摘要

这项病例对照研究的目的是确定可预测严重盆腔器官脱垂发生的病因学因素。从一个描述普通人群盆腔器官支撑情况的数据库中,确定了368名对照者,他们被认为盆腔器官支撑良好。从一家泌尿妇科诊所中确定了87例严重盆腔器官脱垂患者。使用逐步多元逻辑回归分析对严重脱垂的风险进行建模。还进行了卡方检验和两样本t检验的额外分析,以确定各个变量均值的差异。所检查的变量包括年龄、妊娠次数、产次、阴道分娩次数、经阴道分娩的最大婴儿体重、绝经状态、种族、盆腔手术前的体重指数以及疾病史。回归分析中选择了以下四个变量作为严重脱垂的预测因素:年龄、经阴道分娩的最大婴儿体重、子宫切除术和既往脱垂手术史。通过卡方检验和两样本t检验在组间显示出统计学显著差异的其他变量包括妊娠次数、产次、阴道分娩次数、绝经状态、种族、尿失禁手术史和高血压的存在。未显示出任何显著差异的变量是体重指数、慢性阻塞性肺疾病和糖尿病的存在。在我们的研究人群中,年龄增长、经阴道分娩的婴儿体重增加、子宫切除术史和既往脱垂手术史被发现是严重盆腔器官脱垂最强的病因学预测因素。

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