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Development and Validation of a Clinical Prediction Model for Complicated Appendicitis in the Elderly

BACKGROUND: For elderly patients with mild clinical symptoms of uncomplicated appendicitis(UA), non-surgical treatment has been shown to be feasible, whereas emergency surgical treatment is recommended in elderly patients with complicated appendicitis(CA), but it is still challenging to accurately d...

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Autores principales: Feng, Hui, Yu, Qingsheng, Wang, Jingxing, Yuan, Yiyang, Yu, Shushan, Wei, Feisheng, Zheng, Zhou, Peng, Hui, Zhang, Wanzong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9218209/
https://www.ncbi.nlm.nih.gov/pubmed/35756469
http://dx.doi.org/10.3389/fsurg.2022.905075
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author Feng, Hui
Yu, Qingsheng
Wang, Jingxing
Yuan, Yiyang
Yu, Shushan
Wei, Feisheng
Zheng, Zhou
Peng, Hui
Zhang, Wanzong
author_facet Feng, Hui
Yu, Qingsheng
Wang, Jingxing
Yuan, Yiyang
Yu, Shushan
Wei, Feisheng
Zheng, Zhou
Peng, Hui
Zhang, Wanzong
author_sort Feng, Hui
collection PubMed
description BACKGROUND: For elderly patients with mild clinical symptoms of uncomplicated appendicitis(UA), non-surgical treatment has been shown to be feasible, whereas emergency surgical treatment is recommended in elderly patients with complicated appendicitis(CA), but it is still challenging to accurately distinguish CA and UA before treatment. This study aimed to develop a predictive model to assist clinicians to quickly determine the type of acute appendicitis. METHODS: We retrospectively studied the clinical data of elderly patients with acute appendicitis who visited the First Affiliated Hospital of Anhui University of Traditional Chinese Medicine from January 2012 to January 2022. The patients were divided into UA group and CA group, and the general conditions, medical history, physical examination, laboratory examination and imaging examination were compared between the two groups, and SPSS 26.0 and R 4.0.2 software were used to establish CA clinic. Predict the model, and validate it internally. RESULTS: The clinical data of 441 elderly patients with acute appendicitis were collected, 119 patients were excluded due to incomplete clinical data or other diseases. Finally, 332 patients were included in the study and divided into UA group (n = 229) and CA group (n = 103). By analyzing the clinical data of the two groups of patients, the duration of abdominal pain [OR = 1.094, 95% CI (1.056–1.134)], peritonitis [OR = 8.486, 95% CI (2.017–35.703))] and total bilirubin [OR = 1.987, 95% CI (1.627–2.426)] were independent predictors of CA (all p < 0.01). The model's Area Under Curve(AUC) = 0.985 (95% CI, 0.975–0.994). After internal verification by Bootstrap method, the model still has high discriminative ability (AUC = 0.983), and its predicted CA curve is still in good agreement with the actual clinical CA curve. CONCLUSION: We found that a clinical prediction model based on abdominal pain duration, peritonitis, and total bilirubin can help clinicians quickly and effectively identify UA or CA before treatment of acute appendicitis in the elderly, so as to make more scientific clinical decisions.
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spelling pubmed-92182092022-06-24 Development and Validation of a Clinical Prediction Model for Complicated Appendicitis in the Elderly Feng, Hui Yu, Qingsheng Wang, Jingxing Yuan, Yiyang Yu, Shushan Wei, Feisheng Zheng, Zhou Peng, Hui Zhang, Wanzong Front Surg Surgery BACKGROUND: For elderly patients with mild clinical symptoms of uncomplicated appendicitis(UA), non-surgical treatment has been shown to be feasible, whereas emergency surgical treatment is recommended in elderly patients with complicated appendicitis(CA), but it is still challenging to accurately distinguish CA and UA before treatment. This study aimed to develop a predictive model to assist clinicians to quickly determine the type of acute appendicitis. METHODS: We retrospectively studied the clinical data of elderly patients with acute appendicitis who visited the First Affiliated Hospital of Anhui University of Traditional Chinese Medicine from January 2012 to January 2022. The patients were divided into UA group and CA group, and the general conditions, medical history, physical examination, laboratory examination and imaging examination were compared between the two groups, and SPSS 26.0 and R 4.0.2 software were used to establish CA clinic. Predict the model, and validate it internally. RESULTS: The clinical data of 441 elderly patients with acute appendicitis were collected, 119 patients were excluded due to incomplete clinical data or other diseases. Finally, 332 patients were included in the study and divided into UA group (n = 229) and CA group (n = 103). By analyzing the clinical data of the two groups of patients, the duration of abdominal pain [OR = 1.094, 95% CI (1.056–1.134)], peritonitis [OR = 8.486, 95% CI (2.017–35.703))] and total bilirubin [OR = 1.987, 95% CI (1.627–2.426)] were independent predictors of CA (all p < 0.01). The model's Area Under Curve(AUC) = 0.985 (95% CI, 0.975–0.994). After internal verification by Bootstrap method, the model still has high discriminative ability (AUC = 0.983), and its predicted CA curve is still in good agreement with the actual clinical CA curve. CONCLUSION: We found that a clinical prediction model based on abdominal pain duration, peritonitis, and total bilirubin can help clinicians quickly and effectively identify UA or CA before treatment of acute appendicitis in the elderly, so as to make more scientific clinical decisions. Frontiers Media S.A. 2022-06-09 /pmc/articles/PMC9218209/ /pubmed/35756469 http://dx.doi.org/10.3389/fsurg.2022.905075 Text en Copyright © 2022 Feng, Yu, Wang, Yang, Yu, Wei, Zheng, Peng and Zhang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Surgery
Feng, Hui
Yu, Qingsheng
Wang, Jingxing
Yuan, Yiyang
Yu, Shushan
Wei, Feisheng
Zheng, Zhou
Peng, Hui
Zhang, Wanzong
Development and Validation of a Clinical Prediction Model for Complicated Appendicitis in the Elderly
title Development and Validation of a Clinical Prediction Model for Complicated Appendicitis in the Elderly
title_full Development and Validation of a Clinical Prediction Model for Complicated Appendicitis in the Elderly
title_fullStr Development and Validation of a Clinical Prediction Model for Complicated Appendicitis in the Elderly
title_full_unstemmed Development and Validation of a Clinical Prediction Model for Complicated Appendicitis in the Elderly
title_short Development and Validation of a Clinical Prediction Model for Complicated Appendicitis in the Elderly
title_sort development and validation of a clinical prediction model for complicated appendicitis in the elderly
topic Surgery
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9218209/
https://www.ncbi.nlm.nih.gov/pubmed/35756469
http://dx.doi.org/10.3389/fsurg.2022.905075
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