Clinical effect and prognostic factor of electric stimulation and biofeedback therapy on postpartum pelvic organ prolapse.


Journal

Revista da Escola de Enfermagem da U S P
ISSN: 1980-220X
Titre abrégé: Rev Esc Enferm USP
Pays: Brazil
ID NLM: 0242726

Informations de publication

Date de publication:
2024
Historique:
received: 10 01 2024
accepted: 10 05 2024
medline: 8 8 2024
pubmed: 8 8 2024
entrez: 8 8 2024
Statut: epublish

Résumé

To explore the effects of electric stimulation and biofeedback therapy in patients with postpartum pelvic organ prolapse and to identify factors that can affect therapeutic efficacy outcomes. This retrospective study analysed clinical data about patients with postpartum pelvic organ prolapse. A total of 328 women with pelvic organ prolapse at 6 weeks postpartum were recruited from one tertiary hospitals in Sichuan province in China, between March 2019 and March 2022. The prognostic factors of therapeutic efficacy were analysed using logistic regression and decision tree model. Overall, 259 women showed clinical benefits from the treatment. The logistic regression model showed that parity, pelvic floor muscle training at home, and the pelvic organ prolapse quantitation stage before treatment were independent prognostic factors. The decision tree model showed that the pelvic organ prolapse quantitation stage before treatment was the main prognostic factor, followed by parity. There was no significant difference in the area under the receiver operating characteristic curve between the two models. Parity, pelvic floor muscle training at home, and the pelvic organ prolapse quantitation stage before treatment were important prognostic factors of electric stimulation and biofeedback therapy on postpartum pelvic organ prolapse.

Identifiants

pubmed: 39115220
pii: S0080-62342024000100431
doi: 10.1590/1980-220X-REEUSP-2023-0421en
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e20230421

Auteurs

Hongjin Wu (H)

Chengdu Medical College, School of Nursing, Chengdu, Sichuan, China.
University of Electronic Science and Technology of China, School of Medicine, Mianyang Central Hospital, Obstetrics and Gynecology Department, Mianyang, Sichuan, China.

Xiaoying Zhong (X)

University of Electronic Science and Technology of China, School of Medicine, Mianyang Central Hospital, Obstetrics and Gynecology Department, Mianyang, Sichuan, China.

Linqian He (L)

Chengdu Medical College, School of Nursing, Chengdu, Sichuan, China.

Xixi Li (X)

University of Electronic Science and Technology of China, School of Medicine, Department of Nursing, Mianyang Central Hospital, Mianyang, Sichuan, China.
Chengdu Medical College, School of Nursing, Chengdu, Sichuan, China.

Yan Zeng (Y)

University of Electronic Science and Technology of China, School of Medicine, Mianyang Central Hospital, Obstetrics and Gynecology Department, Mianyang, Sichuan, China.

Yuanli Jia (Y)

University of Electronic Science and Technology of China, School of Medicine, Mianyang Central Hospital, Obstetrics and Gynecology Department, Mianyang, Sichuan, China.

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Classifications MeSH