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Peripheral blood inflammatory markers associated with complicated acute appendicitis in retrospective cohort study

Peripheral blood inflammatory markers associated with complicated acute appendicitis in retrospectiv…
Photo by digitale.de / Unsplash
Key Takeaway
Note the association between the Systemic Inflammation Response Index and complicated acute appendicitis.

This retrospective cohort study analyzed 533 patients with acute appendicitis admitted between January 2018 and December 2024. The study population was divided into a training set of 429 patients and a validation set of 104 patients.

The research focused on the diagnostic value of peripheral blood composite inflammatory markers to distinguish between complicated acute appendicitis (CAA) and simple acute appendicitis (SAA). The study utilized multivariate stepwise logistic regression to identify independent predictors.

Results indicated that the Systemic Inflammation Response Index (SIRI) functioned as an independent predictor for CAA, with an Odds Ratio (OR) of 2.972 (95% CI: 1.722 to 5.187). The study also utilized receiver operating characteristic (ROC) curve analysis, calibration curves, and decision curve analysis (DCA) to evaluate performance.

Safety and tolerability data, as well as specific study limitations, were not reported. While distinguishing between CAA and SAA is crucial for guiding treatment decisions, these associations should be interpreted with caution in clinical practice.

Study Details

Study typeCohort
EvidenceLevel 3
PublishedApr 2026
View Original Abstract ↓
BackgroundAccurate distinction between complicated acute appendicitis (CAA) and simple acute appendicitis (SAA) is crucial for guiding treatment decisions. This study aimed to systematically evaluate the diagnostic value of peripheral blood inflammatory composite markers and develop a predictive model for CAA.MethodsIn this retrospective study, 533 patients with acute appendicitis (429 in the training set and 104 in the validation set) admitted between January 2018 and December 2024 were enrolled. Various peripheral blood composite inflammatory markers were calculated. Multivariate stepwise logistic regression identified independent predictors. Based on these predictors, a diagnostic nomogram was constructed and its performance was evaluated using receiver operating characteristic (ROC) curve analysis, calibration curves, and decision curve analysis (DCA).ResultsThe Systemic Inflammation Response Index (SIRI, OR = 2.972, 95% CI: 1.722–5.187, P 
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