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Background: "Real-life" data of retention rate and persistence of adalimumab in inflammatory bowel disease are still limited. AIMS: To analyze retention rate, persistence, and safety of adalimumab in a 9-year real-life cohort of inflammatory bowel disease patients. METHODS: In this observational, retrospective single-center study, all adult patients treated with adalimumab as the first- and second-line biological treatment for steroid-dependent or refractory inflammatory bowel disease between March 2008 and March 2017 were included. Primary outcomes were persistence, retention rate, and adverse events; the secondary outcome was the identification of predictors of withdrawal. RESULTS: Ninety-six out of 181 patients (53%) withdrew their first course of adalimumab. The retention rate was 47% and 46.9% in Crohn's disease and ulcerative colitis patients, respectively; median persistence was 26 and 24 months in CD and UC patients, respectively. The cumulative probability of treatment persistence was 80.2%, 54.5%, and 29.6% and 69.6%, 40.4%, and 21.5% in CD and UC patients, respectively. The incidence rate of any adverse event was 12.5/100 patients-year; severe adverse events were 1.7/100 patients-year. The Cox regression revealed that CD patients with baseline disease duration > 72 months have a higher likelihood for withdrawal due to failure and/or adverse events (HR 1.62, 95% CI 1-2.62, p = 0.04); no predictors of discontinuation were found in UC. CONCLUSIONS: Adalimumab showed a great persistence in the first 12 months of therapy and excellent safety profile. Early treatment of CD patients could increase efficacy and reduce the adverse event rate.

Background & Aims: High fecal levels of calprotectin indicate mucosal inflammation and have been shown to predict relapse in patients with ulcerative colitis (UC). Eicosapentaenoic acid (EPA), the major component of n-3 fish oil, has anti-inflammatory properties in patients with chronic inflammatory disorders. We performed a placebo-controlled trial of patients with UC at risk of relapse to determine the ability of the free fatty acid form of EPA (EPA-FFA) to reduce intestinal inflammation, using fecal level of calprotectin as a marker. Methods: From June 2014 to May 2016, 60 patients with UC with a partial Mayo score < 2 and fecal calprotectin ≥150 μg/g, in stable therapy for at least the 3 previous months, were randomly assigned to groups (1:1) given either EPA-FFA (500 mg, twice daily) or placebo for 6 months. A colonoscopy was performed at baseline. Clinical assessments and measurements of fecal calprotectin were made at baseline, at study months 3 and 6, or the time of clinical relapse. Patients with a relapse of UC underwent a second colonoscopy. The primary end point was a 100-point reduction in fecal levels of calprotectin at 6 months from the baseline value; the secondary end point was maintenance of clinical remission at 6 months. Results: The primary end point was achieved by 19 of 30 patients (63.3%) in the EPA-FFA group vs 4 of 30 patients (13.3%) in the placebo group (odds ratio, 12.0; 95% CI, 3.12–46.24; P

Inflammatory bowel diseases have a natural course characterized by alternating periods of remission and relapse. Disease flares occur in a random way and are currently unpredictable for the most part. Predictors of benign or unfavourable clinical course are required to facilitate treatment decisions and to avoid overtreatment. The present article provides a literature review of the current evidence on the main clinical, genetic, endoscopic, histologic, serologic and fecal markers to predict aggressiveness of inflammatory bowel disease and discuss their prognostic role, both in Crohn's disease and ulcerative colitis. No single marker seems to be reliable alone as a flare predictor, even in light of promising evidence regarding the role of fecal markers, in particular fecal calprotectin, which has reported good results recently. In order to improve our daily clinical practice, validated prognostic scores should be elaborated, integrating clinical and biological markers of prognosis. Finally, we propose an algorithm considering clinical history and biological markers to intercept patients with high risk of clinical relapse.