A model identifying characteristics predictive of successful pelvic floor muscle training outcomes among women with stress urinary incontinence

Brooks, Kaylee; Varette, Kevin; Harvey, Marie-Andrée; Robert, Magali; Day, Andrew G.; Baker, Kevin; Zazzera, Vincent Della; Sauerbrei, Eric E.; McLean, Linda

doi:10.1007/s00192-020-04583-z

Cited by 10 publications

(18 citation statements)

References 33 publications

(59 reference statements)

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“…Brooks et al reported that disease severity, represented by the International Consultation on Incontinence Questionnaire-Urinary Incontinence Short Form (ICIQ-UI-SF) questionnaire, was a predicting factor of treatment success. 19 Similar to our study, Obloza et severity as incontinence episodes, not as urinary leakage weight. 20 Singh et al…”

Section: Discussionsupporting

confidence: 88%

“…Our findings were similar to those of Brooks et al, who evaluated initial pelvic floor contraction strength on the Oxford scale. 19 Furthermore, Yoo et al reported that initial pelvic floor muscle contraction strength was not predictive of treatment success. 26 In our study, myostatin mean level was 2,333.02 pg/mL.…”

Section: Discussionmentioning

confidence: 99%

“…Another report by Brooks et al suggested that bladder neck distance in resting-standing position was predictive of PFMT success. 19 In our study, we evaluated urethral mobility in lithotomy position, comparing its position and movement at rest and during Valsalva.…”

Section: Discussionmentioning

confidence: 99%

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Evaluation of the factors contributing to success of pelvic floor muscle training in stress urinary incontinence

Hidayah

Hakim

Moegni

et al. 2022

UIJ

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Pelvic Floor Muscle Training (PFMT) is an effective, non-invasive, and cost-effective treatment for Stress Urinary Incontinence (SUI). However, its success rate varies. We evaluated the factors predicting success in PFMT, such as age, initial urinary leakage, initial pelvic floor muscle contraction strength, urethral hypermobility, and myostatin level. A nested case-control study was conducted at Dr. Cipto Mangunkusumo hospital between February and October 2021. We evaluated demographic characteristics, UDI-6 and IIQ-7 questionnaire scores, physical exam, pad weight test, urethral hypermobility ultrasound, perineometry, myostatin level, and we instructed the subjects in PFMT according to a guidebook. After 12 weeks of PFMT, we evaluated therapy success, defined as less than 3g on the pad weight test. The study involved 58 women: 5 subjects dropped out, 47 subjects reached treatment success, and 6 subjects did not reach treatment success. Following bivariate analysis, we found that initial pad weight was the only variable that was significantly associated with treatment success (p=0.001, 95% CI: 1.02 – 2.25). The PFMT success rate was 88.68%, and initial urine leakage lower than 6.5g predicts PMFT success with 80.9% sensitivity and 83.3% specificity (p=0.001, 95% CI1.02–2.25).

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Section: Discussionsupporting

confidence: 88%

Section: Discussionmentioning

confidence: 99%

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Evaluation of the factors contributing to success of pelvic floor muscle training in stress urinary incontinence

Hidayah

Hakim

Moegni

et al. 2022

UIJ

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“…e difference was statistically notable (P < 0.05). e conclusion of the research was similar to that of Brooks et al [15], both of which indicated that the improved POS algorithm can significantly improve the accuracy of pelvic floor ultrasound diagnosis and the urethral orifice formation rate of patients. It had certain advantages and was applied to the examination and diagnosis of ultrasound.…”

Section: Discussionsupporting

confidence: 79%

Pelvic Floor Ultrasound under Particle Swarm Intelligent Optimization Algorithm in Preoperative and Postoperative Evaluation of Female Stress Urinary Incontinence

Zhang

Zhao

et al. 2021

Scientific Programming

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This study aimed to explore the application of pelvic floor ultrasound under particle swarm intelligent optimization algorithm in the preoperative and postoperative evaluation of female stress urinary incontinence (SUI) and provide a theoretical basis for clinical diagnosis. In this study, 90 patients with SUI were enrolled, which were randomly and equally assigned into a blank group (healthy physical examination), control group (perineal ultrasound), and experimental group (pelvic floor ultrasound based on particle swarm intelligence optimization algorithm). The ultrasonic image segmentation and processing were carried out by a particle swarm intelligence optimization algorithm. Patients with stress incontinence were classified as group A, and patients without stress incontinence were classified as group B. The results of previous surgical examinations were the standard to judge the accuracy of pelvic floor ultrasound diagnosis based on the swarm intelligence optimization algorithm. The accuracy of diagnosing stress UI in the experimental group was 90.38%, which was significantly higher than that of the control group (54.31%) and the blank group (38.95%) ( P < 0.05). The formation percentage of the urethral internal orifice in the experimental group was 82.5%, which was significantly higher than that of the control group (65.4%) and the blank group (12.5%), and there was a statistical difference among the groups ( P < 0.05). In the resting state, the vertical spacing y between the neck of the bladder and the edge of the pubis of patients in group B was greater than that in group B, the horizontal spacing x between the neck of the bladder and the edge of the pubis was smaller than in the blank group, and there were statistical differences among the groups ( P < 0.05). In the state of Valsalva, the vertical spacing y between the neck of the bladder and the edge of the pubis of patients in group B was smaller than that in group B, the horizontal spacing x between the neck of the bladder and the edge of the pubis was greater than that in group B. The distance of the bladder neck shifting downward was greater than that in group B, and there were statistical differences among the groups ( P < 0.05). In short, the pelvic floor ultrasound based on the particle swarm intelligent optimization algorithm was accurate in the diagnosis of stress UI. The application of pelvic floor ultrasound in the diagnosis of UI provided image data objectively for clinical diagnosis and had a high application value.

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“…Brooks et al studied 77 women who completed a protocol of PFMT, of whom 38 (49%) were deemed to be cured. Among their patients, women with lower scores on the International Consultation on Incontinence Questionnaire Urinary Incontinence Short Form were more likely to have a dry pad test after PFMT than those with more severe symptoms [ 19 ]. They concluded that patients who had less severe incontinence symptoms were most likely to be cured with PFMT.…”

Section: Discussionmentioning

confidence: 99%

Efficacy of Biofeedback and Electrostimulation-Assisted Pelvic Floor Muscle Training between Women with Mild and Moderate to Severe Stress Urinary Incontinence

Hwang

Sun

et al. 2022

JCM

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Background: To evaluate the efficacy of biofeedback and electrical stimulation-assisted pelvic floor muscle training (PFMT) between women with mild and moderate to severe stress urinary incontinence (SUI). Methods: This retrospective cohort study was conducted at a single center from 2014 to 2021. We included 57 patients with urodynamically proven SUI who underwent a biofeedback and electrical stimulation-assisted PFMT. They were categorized into mild and moderate to severe SUI. One-hour pad test from 2 to 10 g was defined as mild SUI, and >11 g was defined as moderate to severe SUI. Results: Fifty-seven patients were reviewed during the study period. Incontinence-related symptoms of distress, including the UDI-6, ISI, and VAS, all significantly improved in the mild SUI group (p = 0.001, p = 0.00,1 and p = 0.010, respectively), while only UDI-6 and VAS statistically improved in the moderate to severe SUI group (p = 0.027 and p = 0.010, respectively). There was significant improvement in IIQ-7 in the mild SUI group during serial treatments, but only in Session 6 in the moderate to severe SUI group. After 18 sessions of treatment, the UDI-6, ISI, and IIQ-7 scores showed significantly greater improvements in the mild SUI group compared to the moderate to severe SUI group (p = 0.003, p = 0.025, and p = 0.002, respectively). Conclusions: Although biofeedback and electrical stimulation-assisted PFMT is an effective treatment option for SUI, it is more beneficial for patients with mild SUI and a 1-h pad weight <10 g urine leak.

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A model identifying characteristics predictive of successful pelvic floor muscle training outcomes among women with stress urinary incontinence

Cited by 10 publications

References 33 publications

Evaluation of the factors contributing to success of pelvic floor muscle training in stress urinary incontinence

Evaluation of the factors contributing to success of pelvic floor muscle training in stress urinary incontinence

Pelvic Floor Ultrasound under Particle Swarm Intelligent Optimization Algorithm in Preoperative and Postoperative Evaluation of Female Stress Urinary Incontinence

Efficacy of Biofeedback and Electrostimulation-Assisted Pelvic Floor Muscle Training between Women with Mild and Moderate to Severe Stress Urinary Incontinence

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