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COMPARISON OF GASTRIC ALIMETRY® BODY SURFACE GASTRIC MAPPING VERSUS ELECTROGASTROGRAPHY SPECTRAL ANALYSIS

Date
May 8, 2023
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Society: AGA


Background
Electrogastrography (EGG) non-invasively evaluates gastric motility but is widely viewed as lacking clinical utility. Gastric Alimetry® is a new diagnostic test that combines high-resolution body surface gastric mapping (BSGM) with validated symptom profiling, with the goal of overcoming numerous technical limitations of the EGG. This study directly compared EGG and BSGM to define performance differences in spectral analysis.

Methods
Comparisons between Gastric Alimetry BSGM and EGG were conducted by protocolized evaluation of 178 subjects (110 controls; 68 nausea and vomiting (NVS) and/or type 1 diabetes (T1D)). Data collection was identical. Comparisons followed standard methodologies for each test, with statistical evaluations for group-level differences, symptom correlations, and patient-level classifications. Four spectral metrics were computed for BSGM tests (Gastric Alimetry Rhythm IndexTM (GA-RI), Principal Gastric Frequency (PGF), BMI-Adjusted Amplitude, and Fed:Fasted Amplitude Ratio)1 and EGG tests (% time normal frequency, dominant frequency, amplitude, and amplitude ratio)2. Patient-level classifications were determined by a blinded consensus panel reference standard3 and automatedly, using published reference values as cutoffs for EGG and BSGM metrics2,4.

Results
Group-level: BSGM showed tighter frequency ranges vs EGG in controls (median 3.04 cpm (IQR 2.90-3.18) vs 2.88 (1.50-3.12); p<0.0001). Both tests detected rhythm instability in NVS (p<0.001) and T1D (p<0.05), but EGG showed opposite frequency effects in T1D (2.50 vs controls 2.88; p=0.28) to BSGM (3.15 vs 3.04; p=0.0004). Symptom correlations: GA-RI correlated with nausea, pain, bloating, and total symptom burden; PGF deviation with excessive fullness, pain, bloating; % time in normal frequency correlated with bloating (p<0.05). Patient-level: EGG sensitivity was 1.0, specificity 0.38; BSGM sensitivity 1.0, specificity 0.96 (Figure 1).

Conclusions and Inferences
EGG detected group-level differences in patients, but lacked symptom correlations and showed poor accuracy at patient-level classification, explaining EGG’s weak clinical utility. BSGM demonstrated substantial performance improvements over EGG across all domains.

References
1. Schamberg G et al.. Neurogastroenterol Motil. Published online November 21, 2022:e14491.
2. Yin J, Chen JDZ. Journal of Neurogastroenterology and Motility. 2013;19(1):5-17.
3. Gharibans AA et al. Sci Transl Med. 2022;14(663):eabq3544.
4. Varghese C et al. Am J Gastroenterol; In Press [doi:10.1101/2022.07.25.22278036]

Figure 1: Individual classifications using rhythmic stability metrics and reference labels. (A) Confusion matrix for GA-RI ≥ 0.25. (B) Confusion matrix for % time normal frequency ≥ 70%. (C) ROC curves with the location on the curve associated (published thresholds indicated by a dot). (D) Quantitative evaluation.
<b>Individual classifications using rhythmic stability metrics and reference labels. (A) Confusion matrix for GA-RI ≥ 0.25. (B) Confusion matrix for % time normal frequency ≥ 70%. (C) ROC curves with the location on the curve associated (published thresholds indicated by a dot). (D) Quantitative evaluation.</b>

Individual classifications using rhythmic stability metrics and reference labels. (A) Confusion matrix for GA-RI ≥ 0.25. (B) Confusion matrix for % time normal frequency ≥ 70%. (C) ROC curves with the location on the curve associated (published thresholds indicated by a dot). (D) Quantitative evaluation.


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