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Self-report assessment of recurrent abdominal pain

G Guariso1, R Mozrzymas, D Gobber

  • 1Dipartimento di Pediatria, Università di Padova, Italia.

Insights

Recurrent abdominal pain (RAP) in children is best diagnosed by analyzing pain characteristics, not just intensity. Graphic pain representation, variability, and location offer key diagnostic insights for pediatric gastroenterology.

Area of Science:

  • Pediatric Gastroenterology
  • Clinical Diagnostics
  • Pain Management

Background:

  • Recurrent abdominal pain (RAP) is a common pediatric issue, often presenting as the primary symptom.
  • Accurate diagnosis of RAP is crucial for effective treatment and management in children.
  • Understanding the nuances of pain presentation is key to differentiating organic from non-organic causes.

Purpose of the Study:

  • To analyze the clinical background of pain in children with RAP.
  • To assess the pain's differentiating capacity in diagnostic evaluations.
  • To explore the utility of self-rating pain methods in pediatric patients.

Main Methods:

  • Studied 86 children with RAP at a pediatric gastroenterology service.
  • Utilized verbal scales, Visual Analogue Scale (VAS), and the Eland graphic method for pain assessment.
  • Classified children into three groups based on diagnostic procedures: upper GI disease, RAP without organic cause, and intestinal disease.

Main Results:

  • Pain intensity did not effectively distinguish between the diagnostic groups.
  • Variability in pain intensity, number/location of painful sites, and graphic representation were more informative.
  • Children with RAP without organic cause showed detailed, colorful graphic pain representations with varied pain characteristics.

Conclusions:

  • Graphic pain representation, alongside pain variability and location, aids in diagnosing pediatric recurrent abdominal pain.
  • The Eland method and detailed pain history may enhance clinical evaluation standardization.
  • Further clinical studies are needed to validate these diagnostic approaches.
Abstract

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