We have located links that may give you full text access.
Predictors of Success for Pelvic Floor Muscle Training in Pelvic Organ Prolapse.
Physical Therapy 2019 January 2
Background: Although the effectiveness of pelvic floor muscle training in women with prolapse has been demonstrated in several studies, there seem to be subgroups of responders and nonresponders.
Objective: The objective of this study was to identify factors that predict treatment success in women receiving pelvic floor muscle training for prolapse.
Design: The design was a secondary analysis of data from 2 randomized controlled trials comparing conservative prolapse treatments.
Methods: After 12 months, 172 women subjectively assessed treatment success ("better") or failure ("the same" or "worse"). Potential predictors were identified by a literature search and by consultation with experts in the field of urogynecology and pelvic floor muscle training. The relationship between potential predictors and treatment success was explored using logistic regression analysis.
Results: Treatment was successful in 94 women (55%) and unsuccessful in 78 women (45%). The presence of ≥1 indicators of obstetric trauma (eg, high birth weight, episiotomy, perineal laceration during vaginal delivery, forceps delivery, or vacuum extraction) (odds ratio = 4.4; 95% CI = 1.6-12.0) and younger age (odds ratio = 0.94 per year; 95% CI = 0.9-1.0) independently predicted treatment success. The area under the receiver operating characteristic curve for the final model was 0.65 (95% CI = 0.57-0.74), and the model explained 11.7% of the variance.
Limitations: Although attempts were made to include all relevant predictors, the selection or operationalization of variables could have been incomplete or insufficient.
Conclusions: Identifying women who have prolapse and are likely to benefit most from pelvic floor muscle training is of great importance to clinical practice. In this study, 2 factors that independently predicted favorable outcomes were identified with this management approach. However, further research is needed to identify other predictive factors and to validate a new model in another population.
Objective: The objective of this study was to identify factors that predict treatment success in women receiving pelvic floor muscle training for prolapse.
Design: The design was a secondary analysis of data from 2 randomized controlled trials comparing conservative prolapse treatments.
Methods: After 12 months, 172 women subjectively assessed treatment success ("better") or failure ("the same" or "worse"). Potential predictors were identified by a literature search and by consultation with experts in the field of urogynecology and pelvic floor muscle training. The relationship between potential predictors and treatment success was explored using logistic regression analysis.
Results: Treatment was successful in 94 women (55%) and unsuccessful in 78 women (45%). The presence of ≥1 indicators of obstetric trauma (eg, high birth weight, episiotomy, perineal laceration during vaginal delivery, forceps delivery, or vacuum extraction) (odds ratio = 4.4; 95% CI = 1.6-12.0) and younger age (odds ratio = 0.94 per year; 95% CI = 0.9-1.0) independently predicted treatment success. The area under the receiver operating characteristic curve for the final model was 0.65 (95% CI = 0.57-0.74), and the model explained 11.7% of the variance.
Limitations: Although attempts were made to include all relevant predictors, the selection or operationalization of variables could have been incomplete or insufficient.
Conclusions: Identifying women who have prolapse and are likely to benefit most from pelvic floor muscle training is of great importance to clinical practice. In this study, 2 factors that independently predicted favorable outcomes were identified with this management approach. However, further research is needed to identify other predictive factors and to validate a new model in another population.
Full text links
Related Resources
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app
All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.
By using this service, you agree to our terms of use and privacy policy.
Your Privacy Choices
You can now claim free CME credits for this literature searchClaim now
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app