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Published on: June 29, 2019
Body Surface Gastric Mapping Delineates Specific Patient Phenotypes in Adolescents With Functional Dyspepsia and
Gayl Humphrey1, Celia Keane1, Gabriel Schamberg1,2
1Department of Surgery, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.
Background:
Diagnosing pediatric patients with chronic gastroduodenal symptoms is clinically challenging, with the role of gastric emptying testing being controversial. Body Surface Gastric Mapping (BSGM) is a new diagnostic test that can identify specific patient phenotypes in adults with gastric dysfunction. This study evaluates whether BSGM can delineate specific phenotypes in adolescents and provide clinically meaningful distinctions between gastroparesis and functional dyspepsia diagnoses.
Methods:
A prospective cross-sectional study recruited adolescents aged 12 to 21 between 2022 and 2024. Controls were recruited from New Zealand and patients from the Children's Hospital of Philadelphia, USA. BSGM followed a standardized protocol, including simultaneous symptom reporting and completion of validated symptom, psychometric, and physical health questionnaires.
Key Results:
Fifty-six subjects were recruited (31 controls, 25 patients); median age 16; 96% of patients were female. Control data showed that adult reference intervals provided an acceptable interpretation framework. Patients with FD (n = 10) and gastroparesis (n = 15) had common symptoms, mental health, quality of life, and functional disability (all p > 0.05). Three distinct BSGM phenotypes were identified: BSGM Normal (n = 10), BSGM Delay (n = 8), and Low Stability/Low Amplitude (n = 7), having spectral differences in BMI-Adjusted Amplitude 34.6 versus 39.1 versus 19.9 (p = 0.01) and Gastric Alimetry Rhythm Index: 0.45 versus 0.45 versus 0.19 (p = 0.003). BSGM phenotypes demonstrated differences in symptoms (nausea p = 0.04), physical health (p = 0.04), and psychometrics (anxiety p = 0.03).
Conclusion And Inferences:
Adolescents with FD and gastroparesis have overlapping clinical profiles, making treatment challenging. Conversely, employing BSGM to categorize patients into distinct phenotypes reveals clinically relevant differences, offering avenues for individualized therapeutic pathways.
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