Determining clinical predictors to identify non‐specific abdominal pain and the added value of laboratory examinations: A prospective derivation study in a paediatric emergency department

Author:

Bouënel Manon1,Lefebvre Victoire2,Trouillet Camille3,Diesnis Remy4,Pouessel Guillaume2,Karaca‐Altintas Yasemin25ORCID

Affiliation:

1. Department of Pediatrics CH Douai Douai France

2. Department of Pediatrics Children's Hospital, CH Roubaix Roubaix France

3. Clinical Research Unit CH Roubaix Roubaix France

4. Department of Emergency Medicine CH Roubaix Roubaix France

5. Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille U1019–UMR 9017–CIIL–Center for Infection and Immunity of Lille Lille France

Abstract

AbstractAimTo develop a model to discriminate non‐specific abdominal pain (NSAP) from organic pain in the paediatric emergency department (PED) and evaluate the added value of laboratory markers.MethodsProspective cohort study in an urban French PED including all patients aged ≥4 years with abdominal pain between November 2020 and May 2021. The outcome was the discrimination between NSAP (patients coded to have only “pain” or “constipation”) and organic pain (all other diagnoses) using stepwise backward multivariate logistic regression method with bootstrap resampling.ResultsThe study enrolled 246 patients. Overall, 163 patients (66.2%) had NSAP. Four variables associated with organic pain: pain in the epigastric region (OR 0.48 [0.23–0.99]), worsening pain (0.57 [0.32–0.99]), pain migration (0.42 [0.17–0.99]) and vomiting (0.47 [0.26–0.84]) were integrated in a clinical model. To discriminate NSAP with a probability of 65%, model sensitivity was 71.8% (64.9–78.7), specificity was 53.0% (42.3–63.7), and the Net Benefit (NB) was 15.4%. White Blood Count and C‐reactive protein results improved discriminative capacity of the model (AUC 0.708 [0.643–0.773] vs. 0.654 [0.585–0.723], p = 0.01) with a supplementary NB of 12%. Patient follow‐up showed 95% diagnostic accuracy.ConclusionThis study reveals a four‐clinical predictor model with a NB of 15% in predicting NSAP. Validation studies are necessary.

Publisher

Wiley

Subject

General Medicine,Pediatrics, Perinatology and Child Health

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