P345 Application of bowel sound computational analysis in inflammatory bowel disease

Abstract

Abstract Background Inflammatory bowel disease(IBD) is a chronic disease. Although colonscopy is the gold standard for assessing activity, itcarries a considerable discomfort. We evaluate the value of bowel sound computational analysis (BSCA) as a tool in assist diagnosis and severity in Crohn’s disease(CD) and ulcerative colitis (UC). Methods We used homemade BSCA as a tool in assist bowel sound(BS). Five minutes recordings were taken for patients. The BS activity, sound duration, peak frequency (Hz) and bowel sound index (SI) was recorded. Results We enrolled 16 CD, 22 UC and 20 healthy controls. In CD patients, BS peak frequency was significantly higher than UC and controls (p=0.01). In UC patients, BS SI was significantly higher than CD and controls (mean 2024 V/min vs 1687 and 1181, p=0.04 and 0.01, respectively). We further evaluated the relation between these two parameters and the degree of severity. In CD patients, BS peak frequency were higher in patients with CDAI over 150 than CDAI under 150 (mean 370.7 Hz vs 358.2 Hz, p=0.045). In UC patients, BS SI was significantly higher in patients with mayo score(MS) larger than 6,compare to MS 3-5, MS 0-2, and controls (mean 2269 V/min vs 1863,1638, and1181, P all=0.01). Conclusion CD patients had higher BS peak frequency and UC patients had higher bowel sound index. These characteristic of BS changes seemed correlated to the severity of IBD.