메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류
인문학
인문학 일반 역사학 철학 종교학 어문학 기타 인문학
사회과학
사회과학 일반 경영학 관광학 교육학 군사학 문헌정보학 법학 사회학 신문방송학 심리과학 정치외교학 지리학 행정학 경제학 무역학 인류학 기타 사회과학
자연과학
자연과학 일반 물리학 생물학 생활과학 수학·통계학 천문학 지구과학 화학 기타 자연과학
공학
공학 일반 건축공학 기계공학 산업공학 재료·에너지공학 전기전자공학 조선해양공학 화학공학 컴퓨터학 기타공학
의약학
의학 일반 간호학 수의학 약학 한의학 기초의학 임상의학 기타 의약학
농수해양학
농수해양학 일반 농학 수산학 식품과학 임학 축산학 해상운송학 기타 농수해양학
예술체육학
예술 일반 디자인 미술 미용 사진 음악학 의상 체육 공연매체예술 기타 예술체육학
복합학
학제간연구 과학기술학 뇌인지과학 기술정책 기타 복합학

ENG

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
Myeongsook Seo (Department of Gastroenterology Gangneung Asan Hospital University of Ulsan College of Medicine Gang) Jiyoung Yoon (Department of Gastroenterology Uijeongbu Eulji Medical Center Eulji University School of Medicine U) Kee Wook Jung (Departments of Gastroenterology Asan Medical Center University of Ulsan College of Medicine Seoul K) Segyeong Joo (Departments of Biomedical Engineering Asan Medical Center University of Ulsan College of Medicine S) Jungbok Lee (Departments of Clinical Epidemiology and Biostatistics Asan Medical Center University of Ulsan Coll) Kyung Min Choi (Departments of Biomedical Engineering Asan Medical Center University of Ulsan College of Medicine S) Hyo Jeong Lee (Health Screening and Promotion Center Asan Medical Center University of Ulsan College of Medicine S) In Ja Yoon (Departments of Gastroenterology Asan Medical Center University of Ulsan College of Medicine Seoul K) Woojoo Noh (Departments of Gastroenterology Asan Medical Center University of Ulsan College of Medicine Seoul K) So Young Seo (Departments of Gastroenterology Asan Medical Center University of Ulsan College of Medicine Seoul K) Do Yeon Kim (Departments of Gastroenterology Asan Medical Center University of Ulsan College of Medicine Seoul K) Sung Wook Hwang (Departments of Gastroenterology Asan Medical Center University of Ulsan College of Medicine Seoul K) Sang Hyoung Park (Departments of Gastroenterology Asan Medical Center University of Ulsan College of Medicine Seoul K) Dong-Hoon Yang (Departments of Gastroenterology Asan Medical Center University of Ulsan College of Medicine Seoul K) Byong Duk Ye (Departments of Gastroenterology Asan Medical Center University of Ulsan College of Medicine Seoul K) Jeong-Sik Byeon (Departments of Gastroenterology Asan Medical Center University of Ulsan College of Medicine Seoul K) Suk-Kyun Yang (Departments of Gastroenterology Asan Medical Center University of Ulsan College of Medicine Seoul K) Seung-Jae Myung (Departments of Gastroenterology Asan Medical Center University of Ulsan College of Medicine Seoul K)
저널정보
대한소화관운동학회(현 대한소화기능성질환.운동학회) Journal of Neurogastroenterology and Motility (JNM) Journal of Neurogastroenterology and Motility (JNM) Vol.28 No.4
발행연도
2022.10
수록면
608 - 617 (10page)
DOI
10.5056/jnm21137

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
"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."
#Biofeedback #Constipation #Least-squares analysis #Manometry

목차

등록된 정보가 없습니다.

참고문헌 (0)

참고문헌 신청
참고문헌이 DBpia에서 서비스 중이라면, [참고문헌 신청]을 통해 등록해보세요

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0