IDDF2020-ABS-0204 Fecal microbiota as a non-invasive identification for postoperative endoscopic recurrence in Crohn’s disease patients

Background Postoperative recurrence (POR) is extremely frequent in Crohn’s disease (CD) after ileocolonic resection and usually assessed by endoscopy. However, the use of endoscopies is limited by its invasiveness. Dysbiosis of gut microbiota has been implicated in triggering POR. Here, we aimed to establish a non-invasive tool based on fecal microbiota to identify POR in Chinese CD patients. Methods Fecal samples from 52 CD patients within 12 months after ileocecal resection were collected for gut microbiota analysis using 16S rRNA genes sequencing technology. POR was defined by a Rutgeerts score ≥i2 under endoscopy at the time of sample collection. Microbiota abundance at the genus level was employed to construct the model to estimate POR by logistic regression model (LRM). Leave-one-out cross validation was used to evaluate the robustness of the model. Receiver operating characteristic curve analysis was performed to test the sensitivity and specificity of the microbial model. Results Significant reduction of microbial diversity was noted in the POR group (p Conclusions POR is tightly linked to the changes in microbiota composition and diversity. Fecal microbiota, including Flavonifactor.spp and three genera of SCFA-producing Lachnospiraceae family, represents a non-invasive biomarker for diagnosis of POR, helping to prevent POR in CD patients.