Diagnostic accuracy of non-invasive tests for helicobacter pylori infection in children: A multicenter retrospective study by SIGENP
Year: 2025
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Helicobacter pylori (H. pylori) infection remains prevalent in children, with significant clinical implications. While endoscopy with biopsy is the gold standard for diagnosis, non-invasive tests such as the stool antigen test (SAT) and urea breath test (UBT) may offer alternatives. OBJECTIVES: To assess the diagnostic accuracy of SAT and UBT in children with suspected H. pylori infection and identify clinical predictors of infection. METHODS: This retrospective multicenter study included pediatric patients undergoing endoscopy for suspected H. pylori across six Italian centers. Histological analysis served as the reference standard. Diagnostic metrics of SAT and UBT were calculated. Demographic and clinical factors were analyzed to identify independent predictors. RESULTS: Of 256 patients, 150 (58.6 %) had confirmed infection. SAT showed higher sensitivity [94 % (95 % CI: 0.87-0.97)] than UBT [87 % (CI: 0.64-0.98)] but lower specificity [55 % vs 67 %], with lower PPV (64 % vs 78 %) and higher NPV (91 % vs 80 %). Independent predictors for H. pylori infection included family history [OR 4.4], positive SAT [OR 16.29], and non-Caucasian ethnicity [OR 4.3]. CONCLUSIONS: SAT demonstrates high sensitivity and NPV, supporting its role as a screening tool. In children without alarm symptoms, a negative SAT may safely exclude infection and help avoid unnecessary endoscopy.
Source: Digestive and Liver Disease
Institutions: Sapienza University of Rome, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Meyer Children's Hospital, University of Campania "Luigi Vanvitelli", University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, IRCCS Materno Infantile Burlo Garofolo, Ospedale Papa Giovanni XXIII, University of Florence, Ospedale Regina Margherita
Language: English
Subfield: Surgery
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,300
OpenAlex ID: W4416948555
