Gastric Alimetry Expands Patient Phenotyping in Gastroduodenal Disorders Compared with Gastric Emptying Scintigraphy

Author:

Wang William Jiaen123ORCID,Foong Daphne1,Calder Stefan456ORCID,Schamberg Gabriel46ORCID,Varghese Chris4ORCID,Tack Jan7ORCID,Xu William4,Daker Charlotte8ORCID,Carson Daniel4ORCID,Waite Stephen6,Hayes Thomas4ORCID,Du Peng5,Abell Thomas L.9,Parkman Henry P.10ORCID,Huang I-Hsuan7ORCID,Fernandes Vivian11,Andrews Christopher N.12,Gharibans Armen A.45613ORCID,Ho Vincent12,O'Grady Greg456

Affiliation:

1. School of Medicine, Western Sydney University, Campbelltown, Australia;

2. Department of Gastroenterology and Hepatology, Campbelltown Hospital, Campbelltown, Australia;

3. Department of Gastroenterology and Hepatology, Princess Alexandra Hospital, Woolloongabba, Australia;

4. Department of Surgery, Auckland City Hospital, Auckland, New Zealand;

5. Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand;

6. Alimetry, Auckland, New Zealand;

7. Translational Research Center for Gastrointestinal Disorders (TARGID), University of Leuven, Leuven, Belgium;

8. Department of Gastroenterology, North Shore Hospital, Auckland, New Zealand;

9. Division of Gastroenterology, University of Louisville, Louisville, Kentucky, USA;

10. Gastroenterology Section, Temple University School of Medicine, Philadelphia, Pennsylvania, USA;

11. Lumus Imaging Campbelltown and Camden, Sydney, Australia;

12. Division of Gastroenterology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada;

13. Perelman School of Medicine, University of Pennsylvania, Pennsylvania, USA.

Abstract

INTRODUCTION: Gastric emptying testing (GET) assesses gastric motility, however, is nonspecific and insensitive for neuromuscular disorders. Gastric Alimetry (GA) is a new medical device combining noninvasive gastric electrophysiological mapping and validated symptom profiling. This study assessed patient-specific phenotyping using GA compared with GET. METHODS: Patients with chronic gastroduodenal symptoms underwent simultaneous GET and GA, comprising a 30-minute baseline, 99mTC-labelled egg meal, and 4-hour postprandial recording. Results were referenced to normative ranges. Symptoms were profiled in the validated GA App and phenotyped using rule-based criteria based on their relationships to the meal and gastric activity: (i) sensorimotor, (ii) continuous, and (iii) other. RESULTS: Seventy-five patients were assessed, 77% female. Motility abnormality detection rates were as follows: GET 22.7% (14 delayed, 3 rapid), GA spectral analysis 33.3% (14 low rhythm stability/low amplitude, 5 high amplitude, and 6 abnormal frequency), and combined yield 42.7%. In patients with normal spectral analysis, GA symptom phenotypes included sensorimotor 17% (where symptoms strongly paired with gastric amplitude, median r = 0.61), continuous 30%, and other 53%. GA phenotypes showed superior correlations with Gastroparesis Cardinal Symptom Index, Patient Assessment of Upper Gastrointestinal Symptom Severity Index, and anxiety scales, whereas Rome IV Criteria did not correlate with psychometric scores (P > 0.05). Delayed emptying was not predictive of specific GA phenotypes. DISCUSSION: GA improves patient phenotyping in chronic gastroduodenal disorders in the presence and absence of motility abnormalities with increased correlation with symptoms and psychometrics compared with gastric emptying status and Rome IV criteria. These findings have implications for the diagnostic profiling and personalized management of gastroduodenal disorders.

Funder

New Zealand Health Research Council

National Institute of Health

Royal Australasian College of Surgeons John Mitchell Crouch Fellowship

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Gastroenterology,Hepatology

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