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Summary Background Aims Methods Results Conclusions Previous studies highlighted a more extensive phenotype for paediatric‐onset than adult‐onset inflammatory bowel disease (IBD). However, most lacked long‐term follow‐up, and some were conducted before the era of biologics.The aim of this study is to compare disease characteristics and treatment exposures between paediatric‐onset and adult‐onset IBD.From a registry that periodically and uniformly retrieves demographics, disease characteristics/phenotype, and treatments, we compared the characteristics of paediatric‐onset (diagnosed at ≥6 and <18 years) and adult‐onset IBD, diagnosed during 2000–2022 and with ≥12 months follow‐up.Of the 2837 patients with Crohn's disease and 1332 with ulcerative colitis, 3316 had adult‐onset and 853 paediatric‐onset IBD. The median follow‐up was 6 years. Patients with paediatric‐onset presented with more extensive disease and received more intensified therapies, including biologics and JAK inhibitors than those with adult‐onset IBD. Paediatric‐onset ulcerative colitis showed a higher prevalence of E3 extensive colitis including pancolitis and a greater requirement for systemic steroids, immunomodulators, and biologics than adult‐onset ulcerative colitis. Paediatric‐onset versus adult‐onset Crohn's disease exhibited greater L3 ileocolonic involvement and perianal disease phenotype, and higher exposure to immunomodulators and biologics. Kaplan–Meier curve and Cox proportional hazards analyses showed significantly lower 15‐year biologic‐free survival from diagnosis among those with paediatric‐onset IBD than with adult‐onset IBD (p = <0.001), indicating greater and earlier use of biologics in the former.Paediatric‐onset presents with more extensive disease with higher exposures to immunomodulators and biologic therapies than adult‐onset IBD. [ABSTRACT FROM AUTHOR]

Background: Deep learning techniques can accurately detect and grade inflammatory findings on images from capsule endoscopy (CE) in Crohn's disease (CD). However, the predictive utility of deep learning of CE in CD for disease outcomes has not been examined. Objectives: We aimed to develop a deep learning model that can predict the need for biological therapy based on complete CE videos of newly-diagnosed CD patients. Design: This was a retrospective cohort study. The study cohort included treatment-naïve CD patients that have performed CE (SB3, Medtronic) within 6 months of diagnosis. Complete small bowel videos were extracted using the RAPID Reader software. Methods: CE videos were scored using the Lewis score (LS). Clinical, endoscopic, and laboratory data were extracted from electronic medical records. Machine learning analysis was performed using the TimeSformer computer vision algorithm developed to capture spatiotemporal characteristics for video analysis. Results: The patient cohort included 101 patients. The median duration of follow-up was 902 (354–1626) days. Biological therapy was initiated by 37 (36.6%) out of 101 patients. TimeSformer algorithm achieved training and testing accuracy of 82% and 81%, respectively, with an Area under the ROC Curve (AUC) of 0.86 to predict the need for biological therapy. In comparison, the AUC for LS was 0.70 and for fecal calprotectin 0.74. Conclusion: Spatiotemporal analysis of complete CE videos of newly-diagnosed CD patients achieved accurate prediction of the need for biological therapy. The accuracy was superior to that of the human reader index or fecal calprotectin. Following future validation studies, this approach will allow for fast and accurate personalization of treatment decisions in CD. [ABSTRACT FROM AUTHOR]

Background: The effectiveness of anti-TNF or ustekinumab (UST) as a second-line biologic after vedolizumab (VDZ) failure has not yet been described. Aims and Methods: In this retrospective multicenter cohort study, We aim to investigate the effectiveness of anti-TNF and UST as second-line therapy in patients with Crohn's disease (CD) who failed VDZ as a first-line treatment. The primary outcome was clinical response at week 16–22. Secondary outcomes included the rates of clinical remission, steroid-free clinical remission, CRP normalization, and adverse events. Results: Fifty-nine patients who failed on VDZ as a first-line treatment for CD were included; 52.8% patients received anti-TNF and 47.2% UST as a second-line therapy. In initial period (Week 16–22), the clinical response and remission rate was similar between both groups: 61.2% vs. 68%, p = 0.8 and 48.3% vs. 56%, p = 0.8 on anti-TNF and UST therapy, respectively. Furthermore, in the maintenance period the rate was similar: 75% vs. 82.3%, p = 0.8 and 62.5% vs. 70.5%, p = 0.8, respectively. Of the patients, 12 out of the 59 stopped the therapy, without a significant difference between the two groups (p = 0.6). Conclusion: Second-line biological therapy after VDZ failure therapy was effective in >60% of the patients with CD. No differences in effectiveness were detected between the use of anti-TNF and UST as a second line. [ABSTRACT FROM AUTHOR]

Background: Intra-abdominal abscess (IA) is an important clinical complication of Crohn's disease (CD). A high index of clinical suspicion is needed as imaging is not routinely used during hospital admission. This study aimed to identify clinical predictors of an IA among hospitalized patients with CD using machine learning. Methods: We created an electronic data repository of all patients with CD who visited the emergency department of our tertiary medical center between 2012 and 2018. We searched for the presence of an IA on abdominal imaging within 7 days from visit. Machine learning models were trained to predict the presence of an IA. A logistic regression model was compared with a random forest model. Results: Overall, 309 patients with CD were hospitalized and underwent abdominal imaging within 7 days. Forty patients (12.9%) were diagnosed with an IA. On multivariate analysis, high C-reactive protein (CRP) [above 65 mg/l, adjusted odds ratio (aOR): 16 (95% CI: 5.51–46.18)], leukocytosis [above 10.5 K/μl, aOR: 4.47 (95% CI: 1.91–10.45)], thrombocytosis [above 322.5 K/μl, aOR: 4.1 (95% CI: 2–8.73)], and tachycardia [over 97 beats per minute, aOR: 2.7 (95% CI: 1.37–5.3)] were independently associated with an IA. Random forest model showed an area under the curve of 0.817 ± 0.065 with six features (CRP, hemoglobin, WBC, age, current biologic therapy, and BUN). Conclusion: In our large tertiary center cohort, the machine learning model identified the association of six clinical features (CRP, hemoglobin, WBC, age, BUN, and biologic therapy) with the presentation of an IA. These may assist as a decision support tool in triaging CD patients for imaging to exclude this potentially life-threatening complication. [ABSTRACT FROM AUTHOR]

Biologics have revolutionized the therapeutic approach in infl ammatory bowel disease (IBD). Anti-tumor necrosis factor (anti-TNF) agents infl iximab and adalimumab currently constitute the major biological therapy in IBD. Additional anti-TNFs such as golimumab and other new biologics are currently being developed for both anti-TNF-naive and -resistant patients. these include anti-integrins (vedolizumab and etrolizumab), a JAK inhibitor (tofacitinib) and an anti-anti-interleukin (IL)-23 and IL-12 antibody (ustekinumab), among additional drugs in development. the following review discusses the indications, effi cacy and safety issues for these novel medications. [ABSTRACT FROM AUTHOR]