ArticleFrontiers in surgery2022
Development and Validation of a Clinical Prediction Model for Complicated Appendicitis in the Elderly.
Article in Frontiers in surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Development and internal validation of a risk-stratification model for complicated appendicitis in the elderly: a retrospective comparative study.BMC gastroenterology · 2026Article
- Association Between C-Reactive Protein-to-Albumin Ratio and Length of Hospital Stay in Elderly Patients with Acute Appendicitis: A Mediation Analysis of Complicated Appendicitis.Clinical interventions in aging · 2026Article
- Article
- Construction of a clinical prediction model for complicated appendicitis based on machine learning techniques.Scientific reports · 2024Article
- Combination of clinical information and radiomics models for the differentiation of acute simple appendicitis and non simple appendicitis on CT images.Scientific reports · 2024Article
- Light gradient boost tree classifier predictions on appendicitis with periodontal disease from biochemical and clinical parameters.Frontiers in oral health · 2024Article
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Authors and funding
9 authors.
Funding
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Abstract
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 ( 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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