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

BackgroundFor 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 dis...

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Main Authors: Hui Feng, Qingsheng Yu, Jingxing Wang, Yiyang Yuan, Shushan Yu, Feisheng Wei, Zhou Zheng, Hui Peng, Wanzong Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Surgery
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fsurg.2022.905075/full
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author Hui Feng
Hui Feng
Qingsheng Yu
Qingsheng Yu
Jingxing Wang
Jingxing Wang
Yiyang Yuan
Yiyang Yuan
Shushan Yu
Shushan Yu
Feisheng Wei
Feisheng Wei
Zhou Zheng
Zhou Zheng
Hui Peng
Hui Peng
Wanzong Zhang
Wanzong Zhang
author_facet Hui Feng
Hui Feng
Qingsheng Yu
Qingsheng Yu
Jingxing Wang
Jingxing Wang
Yiyang Yuan
Yiyang Yuan
Shushan Yu
Shushan Yu
Feisheng Wei
Feisheng Wei
Zhou Zheng
Zhou Zheng
Hui Peng
Hui Peng
Wanzong Zhang
Wanzong Zhang
author_sort Hui Feng
collection DOAJ
description BackgroundFor 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.MethodsWe 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.ResultsThe 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.ConclusionWe 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 doaj.art-dbf4ffa337204411b3b86849832ca1ff2022-12-22T03:31:44ZengFrontiers Media S.A.Frontiers in Surgery2296-875X2022-06-01910.3389/fsurg.2022.905075905075Development and Validation of a Clinical Prediction Model for Complicated Appendicitis in the ElderlyHui Feng0Hui Feng1Qingsheng Yu2Qingsheng Yu3Jingxing Wang4Jingxing Wang5Yiyang Yuan6Yiyang Yuan7Shushan Yu8Shushan Yu9Feisheng Wei10Feisheng Wei11Zhou Zheng12Zhou Zheng13Hui Peng14Hui Peng15Wanzong Zhang16Wanzong Zhang17General surgery department, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, ChinaInstitute of Chinese Medicine Surgery, Anhui Academy of Chinese Medicine, Hefei, Anhui, ChinaGeneral surgery department, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, ChinaInstitute of Chinese Medicine Surgery, Anhui Academy of Chinese Medicine, Hefei, Anhui, ChinaGeneral surgery department, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, ChinaInstitute of Chinese Medicine Surgery, Anhui Academy of Chinese Medicine, Hefei, Anhui, ChinaGeneral surgery department, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, ChinaInstitute of Chinese Medicine Surgery, Anhui Academy of Chinese Medicine, Hefei, Anhui, ChinaGeneral surgery department, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, ChinaInstitute of Chinese Medicine Surgery, Anhui Academy of Chinese Medicine, Hefei, Anhui, ChinaGeneral surgery department, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, ChinaInstitute of Chinese Medicine Surgery, Anhui Academy of Chinese Medicine, Hefei, Anhui, ChinaGeneral surgery department, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, ChinaInstitute of Chinese Medicine Surgery, Anhui Academy of Chinese Medicine, Hefei, Anhui, ChinaGeneral surgery department, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, ChinaInstitute of Chinese Medicine Surgery, Anhui Academy of Chinese Medicine, Hefei, Anhui, ChinaGeneral surgery department, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, ChinaInstitute of Chinese Medicine Surgery, Anhui Academy of Chinese Medicine, Hefei, Anhui, ChinaBackgroundFor 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.MethodsWe 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.ResultsThe 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.ConclusionWe 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.https://www.frontiersin.org/articles/10.3389/fsurg.2022.905075/fullComplicated appendicitiselderlynomogram (Min5-Max 8)internal validation
spellingShingle Hui Feng
Hui Feng
Qingsheng Yu
Qingsheng Yu
Jingxing Wang
Jingxing Wang
Yiyang Yuan
Yiyang Yuan
Shushan Yu
Shushan Yu
Feisheng Wei
Feisheng Wei
Zhou Zheng
Zhou Zheng
Hui Peng
Hui Peng
Wanzong Zhang
Wanzong Zhang
Development and Validation of a Clinical Prediction Model for Complicated Appendicitis in the Elderly
Frontiers in Surgery
Complicated appendicitis
elderly
nomogram (Min5-Max 8)
internal validation
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 Complicated appendicitis
elderly
nomogram (Min5-Max 8)
internal validation
url https://www.frontiersin.org/articles/10.3389/fsurg.2022.905075/full
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