Algorithm to Predict Which Children With Chronic Abdominal Pain Are Low Suspicion for Significant Endoscopic Findings

Jacob A Mark1,2, Kristen Campbell3, Dexiang Gao3

  • 11 Children's Hospital Colorado, Aurora, CO, USA.

Clinical Pediatrics
|October 12, 2018
PubMed

Insights

A new diagnostic algorithm helps identify children with chronic abdominal pain (CAP). High-suspicion (HS) patients were more likely to have significant intestinal pathology found via endoscopy than low-suspicion (LS) patients.

Area of Science:

  • Pediatric Gastroenterology
  • Clinical Diagnostics

Background:

  • Chronic abdominal pain (CAP) presents a significant challenge in pediatric care.
  • Effective diagnostic strategies are needed to evaluate gastrointestinal causes of CAP.

Purpose of the Study:

  • To develop and validate a diagnostic algorithm for pediatric CAP.
  • To differentiate between low-suspicion (LS) and high-suspicion (HS) patients for significant intestinal pathology.

Main Methods:

  • A diagnostic algorithm was created to categorize pediatric CAP patients.
  • The algorithm was retrospectively applied to 150 outpatients with CAP.
  • Endoscopic findings were analyzed for LS (n=99) and HS (n=51) groups.

Main Results:

  • Significant diagnoses were found in 6% of LS patients versus 34% of HS patients (P < .0001).
  • No celiac disease or inflammatory bowel disease was diagnosed in the LS group.
  • The algorithm effectively stratified patients based on the likelihood of endoscopic findings.

Conclusions:

  • The developed algorithm aids clinicians in approaching pediatric CAP.
  • It helps families understand the probability of finding a cause for CAP through endoscopy based on suspicion level.

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