Cargando…

Establishment and validation of clinical prediction model for hemorrhoid recurrence after procedure for prolapse and hemorrhoids

This study aimed to establish a clinical model to predict the risk of hemorrhoid recurrence after procedure for prolapse and hemorrhoids. The clinical data of patients who underwent stapler hemorrhoidal mucosal circumcision in Shanxi Bethune Hospital from April 2014 to June 2017 were collected retro...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Yulong, Sun, Shiwei, Han, Zhenguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10313252/
https://www.ncbi.nlm.nih.gov/pubmed/37390253
http://dx.doi.org/10.1097/MD.0000000000034062
_version_ 1785067085891633152
author Zhang, Yulong
Sun, Shiwei
Han, Zhenguo
author_facet Zhang, Yulong
Sun, Shiwei
Han, Zhenguo
author_sort Zhang, Yulong
collection PubMed
description This study aimed to establish a clinical model to predict the risk of hemorrhoid recurrence after procedure for prolapse and hemorrhoids. The clinical data of patients who underwent stapler hemorrhoidal mucosal circumcision in Shanxi Bethune Hospital from April 2014 to June 2017 were collected retrospectively and followed up regularly after the operation. Finally, 415 patients were included, which were divided into training group (n = 290) and verification group (n = 125). Logistic regression method was used to select meaningful predictors. The prediction model was constructed with nomographs, and the model was evaluated with correction curve, receiver operating characteristic curve and C index. The decision analysis curve was used to determine the clinical utility of the nomogram. Birth history, muscle attachment, postoperative anal urgency, anal resting pressure, postoperative nutritional index, body mass index, Wexner score, and hemorrhoid grading were included in the nomogram. The area under the curve of the prediction model was 0.813 and 0.679, respectively, in the training and verification groups, and 0.839 and 0.746, respectively, for the 5-year recurrence rate. The C index (0.737) and clinical decision curve showed that the model had high clinical practical value. The prediction model of hemorrhoid recurrence risk after hemorrhoidectomy based on multiple clinical indicators can be used for individualized prediction of hemorrhoid recurrence in patients after hemorrhoidectomy, and early intervention measures can be given to individuals with a high recurrence risk to reduce the risk of recurrence.
format Online
Article
Text
id pubmed-10313252
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Lippincott Williams & Wilkins
record_format MEDLINE/PubMed
spelling pubmed-103132522023-07-01 Establishment and validation of clinical prediction model for hemorrhoid recurrence after procedure for prolapse and hemorrhoids Zhang, Yulong Sun, Shiwei Han, Zhenguo Medicine (Baltimore) 7100 This study aimed to establish a clinical model to predict the risk of hemorrhoid recurrence after procedure for prolapse and hemorrhoids. The clinical data of patients who underwent stapler hemorrhoidal mucosal circumcision in Shanxi Bethune Hospital from April 2014 to June 2017 were collected retrospectively and followed up regularly after the operation. Finally, 415 patients were included, which were divided into training group (n = 290) and verification group (n = 125). Logistic regression method was used to select meaningful predictors. The prediction model was constructed with nomographs, and the model was evaluated with correction curve, receiver operating characteristic curve and C index. The decision analysis curve was used to determine the clinical utility of the nomogram. Birth history, muscle attachment, postoperative anal urgency, anal resting pressure, postoperative nutritional index, body mass index, Wexner score, and hemorrhoid grading were included in the nomogram. The area under the curve of the prediction model was 0.813 and 0.679, respectively, in the training and verification groups, and 0.839 and 0.746, respectively, for the 5-year recurrence rate. The C index (0.737) and clinical decision curve showed that the model had high clinical practical value. The prediction model of hemorrhoid recurrence risk after hemorrhoidectomy based on multiple clinical indicators can be used for individualized prediction of hemorrhoid recurrence in patients after hemorrhoidectomy, and early intervention measures can be given to individuals with a high recurrence risk to reduce the risk of recurrence. Lippincott Williams & Wilkins 2023-06-30 /pmc/articles/PMC10313252/ /pubmed/37390253 http://dx.doi.org/10.1097/MD.0000000000034062 Text en Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle 7100
Zhang, Yulong
Sun, Shiwei
Han, Zhenguo
Establishment and validation of clinical prediction model for hemorrhoid recurrence after procedure for prolapse and hemorrhoids
title Establishment and validation of clinical prediction model for hemorrhoid recurrence after procedure for prolapse and hemorrhoids
title_full Establishment and validation of clinical prediction model for hemorrhoid recurrence after procedure for prolapse and hemorrhoids
title_fullStr Establishment and validation of clinical prediction model for hemorrhoid recurrence after procedure for prolapse and hemorrhoids
title_full_unstemmed Establishment and validation of clinical prediction model for hemorrhoid recurrence after procedure for prolapse and hemorrhoids
title_short Establishment and validation of clinical prediction model for hemorrhoid recurrence after procedure for prolapse and hemorrhoids
title_sort establishment and validation of clinical prediction model for hemorrhoid recurrence after procedure for prolapse and hemorrhoids
topic 7100
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10313252/
https://www.ncbi.nlm.nih.gov/pubmed/37390253
http://dx.doi.org/10.1097/MD.0000000000034062
work_keys_str_mv AT zhangyulong establishmentandvalidationofclinicalpredictionmodelforhemorrhoidrecurrenceafterprocedureforprolapseandhemorrhoids
AT sunshiwei establishmentandvalidationofclinicalpredictionmodelforhemorrhoidrecurrenceafterprocedureforprolapseandhemorrhoids
AT hanzhenguo establishmentandvalidationofclinicalpredictionmodelforhemorrhoidrecurrenceafterprocedureforprolapseandhemorrhoids