Comparison of Laboratory-Based and Combined Clinical-Laboratory Models for Predicting Complicated Appendicitis: Incremental Value of the Prognostic Nutritional Index
Miura, D.
Show abstract
Background: Early identification of complicated appendicitis is essential for appropriate management, yet accurate preoperative risk stratification remains challenging. Whether objective laboratory-based models can achieve predictive performance comparable to models incorporating clinical findings remains unclear. Objective: To compare clinical, laboratory-based, and combined clinical-laboratory prediction models for complicated appendicitis and to evaluate the incremental value of the Prognostic Nutritional Index (PNI). Methods: This retrospective study included 1,132 consecutive patients with acute appendicitis. Cases were classified as uncomplicated or complicated appendicitis based on pathological findings and imaging. Three multivariable logistic regression models were developed: a clinical model (Model A), a laboratory-based model (Model B), and a combined clinical-laboratory model (Model C). Model discrimination was assessed using the area under the receiver operating characteristic curve (AUC), and AUCs were compared using DeLong's test. Results: Complicated appendicitis was identified in 341 patients (30.1%). Higher C-reactive protein, higher neutrophil percentage, and lower PNI were independent predictors of complicated appendicitis. The AUCs were 0.791 for Model A, 0.847 for Model B, and 0.857 for Model C. Model B significantly outperformed Model A (P = 0.0020), whereas no significant difference was observed between Models B and C (P = 0.0816). PNI remained an independent predictor after adjustment for conventional inflammatory markers. Conclusion: A laboratory-based prediction model incorporating PNI demonstrated discrimination comparable to that of a combined clinical-laboratory model while relying exclusively on routinely available objective laboratory parameters. These findings support laboratory-based risk stratification as a practical adjunct to clinical assessment for the early identification of complicated appendicitis.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- An effect of the COVID-19 pandemic: significantly more complicated appendicitis due to delayed presentation of patients! 96%
- Systematic Review Protocol of aetiology of mechanical bowel obstruction in Low-and-middle income countries: Has anything changed in the last two decades? 94%
- A case-control study evaluating CT signs of xiphoid process associated with xiphodynia 92%
Similar papers in this journal
- COMPARISON OF sPLA2-IIA PERFORMANCE WITH HIGH-SENSITIVE CRP, NEUTROPHIL PERCENTAGE, PCT AND LACTATE TO IDENTIFY BACTERIAL INFECTION: A PROSPECTIVE STUDY 92%
- Effects of different environmental intervention durations on the intestinal mucosal barrier and the brain-gut axis in rats with colorectal cancer 92%
- Standard blood laboratory results in SARS-CoV-19 positive patients: do they show a typical pattern? 91%
Similar papers in this journal
- Procalcitonin to Predict Severity of Acute Cholangitis and Need for Urgent Biliary Decompression: Systematic Scoping Review 92%
- The development of a multidisciplinary care pathway for patients with inflammatory bowel disease before, during and after pregnancy 92%
- Artificial Intelligence in laryngeal endoscopy: Systematic Review and Meta-Analysis 91%
Similar papers in this journal
- Association of Digestive Symptoms and Hospitalization in Patients with SARS-CoV-2 Infection 91%
- Non-endoscopic screening for Barrett’s esophagus and Esophageal Adenocarcinoma in at risk Veterans 90%
- Social Determinants of Health Factors Associated with Metabolic Dysfunction-Associated Steatotic Liver Disease Prevalence and Severity: A Systematic Review and Meta-analysis 89%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.