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Influence of clinical parameters on the results of 13C-octanoic acid breath tests: examination of different mathematical models in a large patient cohort
Authors:j  keller  v  andresen  j  wolter  p  layer & m  camilleri †
Institution:Israelitic Hospital, Hamburg, Germany;
Mayo Clinic, Rochester, MN, USA
Abstract:Abstract It is assumed, although not proven, that 13CO2‐excretion following ingestion of 13C‐octanoic acid (13C‐OA) does not only depend on gastric emptying (GE) but also on absorption and metabolism of 13C‐OA and endogenous CO2‐production. Our aims were (i) to test the effects of patient characteristics and of diseases that may impair 13C‐OA‐metabolism on GE parameters. (ii) To compare different GE endpoints. Therefore, we investigated effects of age, gender, BMI and diseases with potential impact on 13C‐OA‐metabolism (including pancreatic, liver and lung disease, diabetes, IBD) on cumulative 4h‐13CO2‐excretion (4h‐CUM) and T½ calculated by non‐linear regression model (NL, determined by shape of breath test curve) and generalized linear regression model (GLR, reflects absolute 13CO2‐excretion) in 1279 patients and 19 healthy controls who underwent a standardized 13C‐OA‐breath test. Digestive and metabolic disturbances hardly influenced 4h‐CUM or T½ calculated by NL or GLR models. In the multivariate linear regression models, 4h‐CUM was significantly predicted by diabetes adjusted for age, gender and IBD but influence of these parameters was small (R2 = 0.028, P < 0.0001). T½NL and 4h‐CUM were weakly correlated, even after exclusion of tests with unrealistically high estimates for T½NL (n = 1095, R2 = 0.029, P < 0.0001). Conversely, 4h‐CUM was closely associated with T½GLR (exponential correlation, R2 = 0.774, P < 0.00001, n = 1279). We conclude that influences of digestive and metabolic disturbances on 13CO2‐excretion following 13C‐OA‐application are generally low. Thus, our findings resolve an important criticism of methods using absolute 13CO2‐excretion for evaluation of 13C‐OA‐breath tests and suggest that such models may correctly identify T½ in a mixed patient population.
Keywords:13CO2-excretion  absorption  gastric emptying test  gastroparesis  motility  scintigraphy
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