Diagnostic accuracy and cut-off points for vaginal manometry to differentiate between weak and strong pelvic floor muscle contraction in pregnant women.

Autor: Reis BM; Women's Health Research Laboratory, Physical Therapy Department, Universidade Federal de São Carlos, São Carlos, SP, Brazil., Barbosa-Silva J; 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., Armijo-Olivo S; 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., Driusso P; Women's Health Research Laboratory, Physical Therapy Department, Universidade Federal de São Carlos, São Carlos, SP, Brazil. Electronic address: pdriusso@ufscar.br.
Jazyk: angličtina
Zdroj: Brazilian journal of physical therapy [Braz J Phys Ther] 2024 Sep-Oct; Vol. 28 (5), pp. 101115. Date of Electronic Publication: 2024 Sep 05.
DOI: 10.1016/j.bjpt.2024.101115
Abstrakt: Background: Identifying a weak/strong pelvic floor muscle (PFM) contraction in pregnant women may help prevent and treat dysfunctions during late pregnancy and postpartum.
Objective: 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.
Methods: 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.
Results: 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 cmH 2 O). The MVC average showed excellent discriminative ability (AUC=0.96; cut-off: 30.66 cmH 2 O). The gradient variable (AUC=0.85; cut-off: 27.83 cmH 2 O/s) and AUCm (AUC=0.86; cut-off: 1315.6 cm²*s) showed a good discriminative ability.
Conclusion: The best variables to discriminate between weak/strong PFM contraction in pregnant women using vaginal manometry were peak MVC, MVC average, gradient, and AUCm.
Competing Interests: Conflicts of interest The authors declare no conflicts of interest.
(Copyright © 2024 Associação Brasileira de Pesquisa e Pós-Graduação em Fisioterapia. Publicado por Elsevier España, S.L.U. All rights reserved.)
Databáze: MEDLINE
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