Pre-Coronavirus Disease 2019 Pediatric Acute Appendicitis: Risk Factors Model and Diagnosis Modality in a Developing

Jonathan Salim1, Flora Agustina1,2, Julian Johozua Roberth Maker1

  • 1Faculty of Medicine, Pelita Harapan University, Tangerang, Indonesia.

Insights

The pediatric appendicitis score (PAS) shows higher sensitivity than ultrasound sonography (USG) for diagnosing appendicitis in children. USG offers better specificity, and PAS is effective for children under five.

Area of Science:

  • Pediatric surgery
  • Diagnostic imaging
  • Epidemiology

Background:

  • Pediatric acute appendicitis incidence is stable in Western countries but increasing in Asia.
  • Appendicitis is a significant health concern in Indonesia, ranking as the fourth most common infectious disease.
  • Accurate diagnosis and early treatment are crucial due to rising appendicitis rates in Asian regions.

Purpose of the Study:

  • To evaluate risk factors and diagnostic methods for pediatric acute appendicitis.
  • To assess the utility of the pediatric appendicitis score (PAS) in children under five years old.
  • To compare the diagnostic performance of PAS and ultrasound sonography (USG).

Main Methods:

  • Cross-sectional study design with purposive sampling.
  • Data collection via demographic and PAS questionnaires, and ultrasound sonography (USG) results.
  • Statistical analysis included chi-square, Mann-Whitney tests, and logistic regression.

Main Results:

  • The study included 21 pediatric patients with acute appendicitis.
  • Both PAS and USG demonstrated moderate sensitivity and specificity compared to surgical outcomes.
  • A risk prediction model showed 72.73% AUC, 100% sensitivity, and 54.5% specificity.

Conclusions:

  • PAS exhibits higher sensitivity, while USG shows greater specificity in diagnosing appendicitis.
  • The study confirms the applicability of PAS for diagnosing appendicitis in children under five.
  • No significant risk factors for pediatric acute appendicitis were identified in the multivariate analysis.
Abstract

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