Progression appendicitis nomogram prediction model and application thereof
A prediction model, a technique for appendicitis, applied in the field of establishing a nomogram prediction model for advanced appendicitis, which can solve the problems of increased mortality associated with appendectomy, increased radiation-related cancer, and high price.
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[0044] The clinical data of 411 children with appendicitis were collected as a model training set, of which, among these cases, 200 (48.66%) children were diagnosed and diagnosed with early appendicitis, while 211 (51.34%) patients were diagnosed and diagnosed with Advanced appendicitis. Most appendicitis patients were male (67.15%), however, there was no significant difference in gender distribution between the early and advanced appendicitis groups.
[0045] Univariate logistic regression analysis was used to identify independent variables associated with advanced appendicitis: there were significant differences in variables such as fibrin degradation products (FDP), C-reactive protein (CRP) and Na+ between the advanced appendicitis group and the early appendicitis group (P <0.05). Fibrin degradation product (FDP), C-reactive protein (CRP) had good independent predictive performance with an AUC greater than 0.8.
[0046] On the basis of multiple logistic regression analysis,...
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