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Risk prediction models for difficult cholecystectomy

INTRODUCTION: In some cases, laparoscopic cholecystectomy (LC) may be very difficult and easily converted to laparotomy, causing many complications to patients and prolonging the prognosis time. Thus, to evaluate the difficulty of LC before operation is extremely important. AIM: To explore the risk...

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Autores principales: Chen, Gan, Li, Min, Cao, Baoqiang, Xu, Qingwen, Zhang, Zhigong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Termedia Publishing House 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9186076/
https://www.ncbi.nlm.nih.gov/pubmed/35707332
http://dx.doi.org/10.5114/wiitm.2022.114539
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author Chen, Gan
Li, Min
Cao, Baoqiang
Xu, Qingwen
Zhang, Zhigong
author_facet Chen, Gan
Li, Min
Cao, Baoqiang
Xu, Qingwen
Zhang, Zhigong
author_sort Chen, Gan
collection PubMed
description INTRODUCTION: In some cases, laparoscopic cholecystectomy (LC) may be very difficult and easily converted to laparotomy, causing many complications to patients and prolonging the prognosis time. Thus, to evaluate the difficulty of LC before operation is extremely important. AIM: To explore the risk factors of difficult cholecystectomy (DC) and to establish a risk prediction model of DC. MATERIAL AND METHODS: The data of 201patients who underwent cholecystectomy from 1 January 2018 to 10 November 2019 were analysed retrospectively. The highest quartile (P75) of cholecystectomy operation time was used as a cutting point of DC (≥ P75) and NLC (< P75). Logistic regression was used to analyse the influencing factors of DC, and its risk model was constructed for prediction. RESULTS: Multivariate logistic regression analysis showed that body mass index (BMI) > 25 kg/m(2), white blood cell (WBC) > 10 × 10(9)/l, calculus incarcerated in neck of gallbladder, frequency of acute cholecystitis in the last 2 months > 4 times, thickness of gallbladder wall > 0.5 cm, and maximum diameter of gallstone > 2 cm were independent risk factors for DC. The prediction efficiency of the logistic regression equation was 0.879 (χ(2) = 1.457, p > 0.05). CONCLUSIONS: Based on analysis of risk factors, a logistic risk prediction model for difficult cholecystectomy was established. This model can be used to predict the difficulty of cholecystectomy.
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spelling pubmed-91860762022-06-14 Risk prediction models for difficult cholecystectomy Chen, Gan Li, Min Cao, Baoqiang Xu, Qingwen Zhang, Zhigong Wideochir Inne Tech Maloinwazyjne Original Paper INTRODUCTION: In some cases, laparoscopic cholecystectomy (LC) may be very difficult and easily converted to laparotomy, causing many complications to patients and prolonging the prognosis time. Thus, to evaluate the difficulty of LC before operation is extremely important. AIM: To explore the risk factors of difficult cholecystectomy (DC) and to establish a risk prediction model of DC. MATERIAL AND METHODS: The data of 201patients who underwent cholecystectomy from 1 January 2018 to 10 November 2019 were analysed retrospectively. The highest quartile (P75) of cholecystectomy operation time was used as a cutting point of DC (≥ P75) and NLC (< P75). Logistic regression was used to analyse the influencing factors of DC, and its risk model was constructed for prediction. RESULTS: Multivariate logistic regression analysis showed that body mass index (BMI) > 25 kg/m(2), white blood cell (WBC) > 10 × 10(9)/l, calculus incarcerated in neck of gallbladder, frequency of acute cholecystitis in the last 2 months > 4 times, thickness of gallbladder wall > 0.5 cm, and maximum diameter of gallstone > 2 cm were independent risk factors for DC. The prediction efficiency of the logistic regression equation was 0.879 (χ(2) = 1.457, p > 0.05). CONCLUSIONS: Based on analysis of risk factors, a logistic risk prediction model for difficult cholecystectomy was established. This model can be used to predict the difficulty of cholecystectomy. Termedia Publishing House 2022-03-16 2022-06 /pmc/articles/PMC9186076/ /pubmed/35707332 http://dx.doi.org/10.5114/wiitm.2022.114539 Text en Copyright: © 2022 Fundacja Videochirurgii https://creativecommons.org/licenses/by-nc-sa/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License, allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, provided the original work is properly cited and states its license.
spellingShingle Original Paper
Chen, Gan
Li, Min
Cao, Baoqiang
Xu, Qingwen
Zhang, Zhigong
Risk prediction models for difficult cholecystectomy
title Risk prediction models for difficult cholecystectomy
title_full Risk prediction models for difficult cholecystectomy
title_fullStr Risk prediction models for difficult cholecystectomy
title_full_unstemmed Risk prediction models for difficult cholecystectomy
title_short Risk prediction models for difficult cholecystectomy
title_sort risk prediction models for difficult cholecystectomy
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9186076/
https://www.ncbi.nlm.nih.gov/pubmed/35707332
http://dx.doi.org/10.5114/wiitm.2022.114539
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