Women's Health Research Laboratory, Physical Therapy Department, Universidade Federal de São Carlos, São Carlos, SP, Brazil.
Women's Health Research Laboratory, Physical Therapy Department, Universidade Federal de São Carlos, São Carlos, SP, Brazil; Faculty of Business and Social Sciences, University of Applied Sciences - Hochschule Osnabrück, Osnabrück, Germany. Faculty of Rehabilitation Medicine/Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada.
Braz J Phys Ther. 2024 Sep-Oct;28(5):101115. doi: 10.1016/j.bjpt.2024.101115. Epub 2024 Sep 5.
Identifying a weak/strong pelvic floor muscle (PFM) contraction in pregnant women may help prevent and treat dysfunctions during late pregnancy and postpartum.
To determine whether the Peritron™ manometer can accurately differentiate a weak from a strong PFM contraction and the respective cut-offs for its variables in pregnant women.
This is a diagnostic accuracy study. Forty-four women in the third trimester of pregnancy participated (mean±SD age: 29±5 years). The reference test was vaginal palpation, and the index test was vaginal manometry (Peritron™ manometer). Variables assessed by vaginal manometry were rest, maximal voluntary contraction (MVC), MVC average, duration, gradient, area under the curve (AUCm), and contraction speed. The Receiver Operating Curve (AUC/ROC) was used to analyze the data and obtain cut-off points for these variables.
Perfect discrimination (AUC=1.00) to differentiate between a weak/strong PFM contraction in pregnant women was observed for peak MCV (cut-off: 40.56 cmHO). The MVC average showed excellent discriminative ability (AUC=0.96; cut-off: 30.66 cmHO). The gradient variable (AUC=0.85; cut-off: 27.83 cmHO/s) and AUCm (AUC=0.86; cut-off: 1315.6 cm²*s) showed a good discriminative ability.
The best variables to discriminate between weak/strong PFM contraction in pregnant women using vaginal manometry were peak MVC, MVC average, gradient, and AUCm.
识别孕妇的弱/强盆底肌（PFM）收缩有助于预防和治疗妊娠晚期和产后的功能障碍。
确定 Peritron™测压计是否能准确地区分孕妇的弱和强 PFM 收缩，以及其各变量的相应截断值。
这是一项诊断准确性研究。44 名处于妊娠晚期的女性参与了研究（平均年龄±标准差：29±5 岁）。参考测试是阴道触诊，而指标测试是阴道测压（Peritron™测压计）。阴道测压评估的变量包括休息时、最大自主收缩（MVC）、MVC 平均值、持续时间、梯度、曲线下面积（AUCm）和收缩速度。使用接收器操作曲线（AUC/ROC）分析数据并获得这些变量的截断值。
在区分孕妇的弱/强 PFM 收缩方面，峰值 MCV（截断值：40.56cmHO）表现出完美的区分能力（AUC=1.00）。MVC 平均值显示出极好的区分能力（AUC=0.96；截断值：30.66cmHO）。梯度变量（AUC=0.85；截断值：27.83cmHO/s）和 AUCm（AUC=0.86；截断值：1315.6cm²*s）显示出良好的区分能力。
使用阴道测压法区分孕妇的弱/强 PFM 收缩的最佳变量是峰值 MVC、MVC 平均值、梯度和 AUCm。
