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Predicting Responsiveness to Biofeedback Therapy Using High-resolution Anorectal Manometry With Integrated Pressurized Volume

BACKGROUND/AIMS: Biofeedback therapy is widely used to treat patients with chronic constipation, especially those with dyssynergic defecation. Yet, the utility of high-resolution manometry with novel parameters in the prediction of biofeedback response has not been reported. Thus, we constructed a m...

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Autores principales: Seo, Myeongsook, Yoon, Jiyoung, Jung, Kee Wook, Joo, Segyeong, Lee, Jungbok, Choi, Kyung Min, Lee, Hyo Jeong, Yoon, In Ja, Noh, Woojoo, Seo, So Young, Kim, Do Yeon, Hwang, Sung Wook, Park, Sang Hyoung, Yang, Dong-Hoon, Ye, Byong Duk, Byeon, Jeong-Sik, Yang, Suk-Kyun, Myung, Seung-Jae
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Neurogastroenterology and Motility 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9577571/
https://www.ncbi.nlm.nih.gov/pubmed/36250368
http://dx.doi.org/10.5056/jnm21137
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author Seo, Myeongsook
Yoon, Jiyoung
Jung, Kee Wook
Joo, Segyeong
Lee, Jungbok
Choi, Kyung Min
Lee, Hyo Jeong
Yoon, In Ja
Noh, Woojoo
Seo, So Young
Kim, Do Yeon
Hwang, Sung Wook
Park, Sang Hyoung
Yang, Dong-Hoon
Ye, Byong Duk
Byeon, Jeong-Sik
Yang, Suk-Kyun
Myung, Seung-Jae
author_facet Seo, Myeongsook
Yoon, Jiyoung
Jung, Kee Wook
Joo, Segyeong
Lee, Jungbok
Choi, Kyung Min
Lee, Hyo Jeong
Yoon, In Ja
Noh, Woojoo
Seo, So Young
Kim, Do Yeon
Hwang, Sung Wook
Park, Sang Hyoung
Yang, Dong-Hoon
Ye, Byong Duk
Byeon, Jeong-Sik
Yang, Suk-Kyun
Myung, Seung-Jae
author_sort Seo, Myeongsook
collection PubMed
description BACKGROUND/AIMS: Biofeedback therapy is widely used to treat patients with chronic constipation, especially those with dyssynergic defecation. Yet, the utility of high-resolution manometry with novel parameters in the prediction of biofeedback response has not been reported. Thus, we constructed a model for predicting biofeedback therapy responders by applying the concept of integrated pressurized volume in patients undergoing high-resolution anorectal manometry. METHODS: Seventy-one female patients (age: 48-68 years) with dyssynergic defecation who underwent initial high-resolution anorectal manometry and subsequent biofeedback therapy were enrolled. The manometry profiles were used to calculate the 3-dimensional integrated pressurized volumes by multiplying the distance, time, and amplitude during simulated evacuation. Partial least squares regression was performed to generate a predictive model for responders to biofeedback therapy by using the integrated pressurized volume parameters. RESULTS: Fifty-five (77.5%) patients responded to biofeedback therapy. The responders and non-responders did not show significant differences in the conventional manometric parameters. The partial least squares regression model used a linear combination of eight integrated pressurized volume parameters and generated an area under the curve of 0.84 (95% confidence interval: 0.76-0.95, P < 0.01), with 85.5% sensitivity and 62.1% specificity. CONCLUSIONS: Integrated pressurized volume parameters were better than conventional parameters in predicting the responsiveness to biofeedback therapy, and the combination of these parameters and partial least squares regression was particularly promising. Integrated pressurized volume parameters can more effectively explain the physiology of the anorectal canal compared with conventional parameters.
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spelling pubmed-95775712022-10-30 Predicting Responsiveness to Biofeedback Therapy Using High-resolution Anorectal Manometry With Integrated Pressurized Volume Seo, Myeongsook Yoon, Jiyoung Jung, Kee Wook Joo, Segyeong Lee, Jungbok Choi, Kyung Min Lee, Hyo Jeong Yoon, In Ja Noh, Woojoo Seo, So Young Kim, Do Yeon Hwang, Sung Wook Park, Sang Hyoung Yang, Dong-Hoon Ye, Byong Duk Byeon, Jeong-Sik Yang, Suk-Kyun Myung, Seung-Jae J Neurogastroenterol Motil Original Article BACKGROUND/AIMS: Biofeedback therapy is widely used to treat patients with chronic constipation, especially those with dyssynergic defecation. Yet, the utility of high-resolution manometry with novel parameters in the prediction of biofeedback response has not been reported. Thus, we constructed a model for predicting biofeedback therapy responders by applying the concept of integrated pressurized volume in patients undergoing high-resolution anorectal manometry. METHODS: Seventy-one female patients (age: 48-68 years) with dyssynergic defecation who underwent initial high-resolution anorectal manometry and subsequent biofeedback therapy were enrolled. The manometry profiles were used to calculate the 3-dimensional integrated pressurized volumes by multiplying the distance, time, and amplitude during simulated evacuation. Partial least squares regression was performed to generate a predictive model for responders to biofeedback therapy by using the integrated pressurized volume parameters. RESULTS: Fifty-five (77.5%) patients responded to biofeedback therapy. The responders and non-responders did not show significant differences in the conventional manometric parameters. The partial least squares regression model used a linear combination of eight integrated pressurized volume parameters and generated an area under the curve of 0.84 (95% confidence interval: 0.76-0.95, P < 0.01), with 85.5% sensitivity and 62.1% specificity. CONCLUSIONS: Integrated pressurized volume parameters were better than conventional parameters in predicting the responsiveness to biofeedback therapy, and the combination of these parameters and partial least squares regression was particularly promising. Integrated pressurized volume parameters can more effectively explain the physiology of the anorectal canal compared with conventional parameters. The Korean Society of Neurogastroenterology and Motility 2022-10-30 2022-10-30 /pmc/articles/PMC9577571/ /pubmed/36250368 http://dx.doi.org/10.5056/jnm21137 Text en © 2022 The Korean Society of Neurogastroenterology and Motility https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Seo, Myeongsook
Yoon, Jiyoung
Jung, Kee Wook
Joo, Segyeong
Lee, Jungbok
Choi, Kyung Min
Lee, Hyo Jeong
Yoon, In Ja
Noh, Woojoo
Seo, So Young
Kim, Do Yeon
Hwang, Sung Wook
Park, Sang Hyoung
Yang, Dong-Hoon
Ye, Byong Duk
Byeon, Jeong-Sik
Yang, Suk-Kyun
Myung, Seung-Jae
Predicting Responsiveness to Biofeedback Therapy Using High-resolution Anorectal Manometry With Integrated Pressurized Volume
title Predicting Responsiveness to Biofeedback Therapy Using High-resolution Anorectal Manometry With Integrated Pressurized Volume
title_full Predicting Responsiveness to Biofeedback Therapy Using High-resolution Anorectal Manometry With Integrated Pressurized Volume
title_fullStr Predicting Responsiveness to Biofeedback Therapy Using High-resolution Anorectal Manometry With Integrated Pressurized Volume
title_full_unstemmed Predicting Responsiveness to Biofeedback Therapy Using High-resolution Anorectal Manometry With Integrated Pressurized Volume
title_short Predicting Responsiveness to Biofeedback Therapy Using High-resolution Anorectal Manometry With Integrated Pressurized Volume
title_sort predicting responsiveness to biofeedback therapy using high-resolution anorectal manometry with integrated pressurized volume
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9577571/
https://www.ncbi.nlm.nih.gov/pubmed/36250368
http://dx.doi.org/10.5056/jnm21137
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