Background: Inflammatory bowel diseases patients eligible for biological therapy represent a group with considerable disease burden and biologics only achieve 40% clinical remission rates in responders after 1 year of therapy. Aims: To collect all the published data about patients treated with dual biological therapy with an Anti-TNF, vedolizumab or ustekinumab, for a period of at least 3 months and to pool the data about the effectiveness and safety. Methods: A MEDLINE, and Web of Science search of all studies published in English until January 1, 2019 was conducted. Results: We included 7 studies with a total of 18 patients. Fifteen patients were treated with a combination of an anti-TNF and vedolizumab, 3 patients were treated with vedolizumab and ustekinumab. Fifty-six percent of patients were affected by Crohn's disease and 50% of patients were treated with an immunosuppressant drug or steroid too. A clinical improvement was obtained in 100% of patients, and an endoscopic improvement in 93% of patients. No serious adverse events were reported. Conclusions: The use of dual biological therapy is an attractive therapeutic option and may be an opportunity to better tailor and personalize the therapies for patients. Further studies, as randomized control trials, to provide comparative efficacy and safety endpoints of combination therapies, and to clarify potential advantages of combined biological therapies, are needed.
The spectrum of gluten-related disorders (GRD) has emerged as a relevant phenomenon possibly impacting on health care procedures and costs worldwide. Current classification of GRD is mainly based on their pathophysiology, and the following categories can be distinguished: immune-mediated disorders that include coeliac disease (CD), dermatitis herpetiformis (DH), and gluten ataxia (GA); allergic reactions such as wheat allergy (WA); and non-coeliac gluten sensitivity (NCGS), a condition characterized by both gastrointestinal and extra-intestinal symptoms subjectively believed to be induced by the ingestion of gluten/wheat that has recently gained popularity. Although CD, DH, and WA are well-defined clinical entities, whose diagnosis is based on specific diagnostic criteria, a diagnosis of NCGS may on the contrary be considered only after the exclusion of other organic disorders. Neither allergic nor autoimmune mechanisms have been found to be involved in NCGS. Mistakes in the diagnosis of GRD are still a relevant clinical problem that may result in overtreatment of patients being unnecessary started on a gluten-free diet and waste of health-care resources. On the basis of our clinical experience and literature, we aim to identify the main pitfalls in the diagnosis of CD and its complications, DH, and WA. We provide a practical methodological approach to guide clinicians on how to recognize and avoid them.
Background and objective: there are no studies in the literature about the effectiveness of adalimumab biosimilar ABP 501 in Crohn's disease. The aim of this study was to evaluate its effectiveness and safety.Methods: an observational study was performed in Crohn's disease patients treated with ABP 501, with the classic induction and maintenance regimen and in Crohn's disease patients who were switched from the adalimumab originator to ABP 501.Results: eighty-seven patients were included in the study, of which 25 were naïve to the adalimumab originator and 62 were switched to ABP 501. In adalimumab-naïve patients, clinical response at three months was 60 % (15/25) and clinical remission at three months was 56 % (14/25). At six months, 95.2 % (59/62) of the patients switched to ABP 501 were still in therapy, without a significant increase of clinical activity (Harvey-Bradshaw index from 3.4, 95 % CI = 2.4-4.4, to 3.8, 95 % CI = 2.7-4.9, p = 0.23) and inflammatory biomarkers (C-reactive protein from 4.2 mg/l, 95 % CI = 2.5-5.9 mg/l, to 3.6 mg/l, 95 % CI = 2.2-5 mg/l, p = 0.32). There were no unexpected adverse events during the study period.Conclusions: our results support ABP 501 as an effective and well-tolerated drug, with a good interchangeability with its originator for the treatment of Crohn's disease.
Butyrate is a short-chain fatty acid that plays a key role in maintaining gut homeostasis as well as the integrity of the intestinal barrier. In the present study, we investigated the effect of oral microencapsulated sodium butyrate (BLM) administration in maintaining remission and improving residual symptoms and inflammatory markers in a population of patients with ulcerative colitis (UC). Forty-two patients with UC in clinical remission were enrolled in the study. Three patients were lost to follow up; 39 patients (18 treated with BLM add-on therapy and 21 with standard mesalamine only) that reached 12 months of follow up were included in the final analysis. Therapeutic success (defined as Mayo partial score ≤ 2 and faecal calprotectin (FC) < 250 µg/g at 12 months of follow up) was achieved in 25 patients (64.1%); 15/18 (83.3%) in BLM group and 10/21 (47.6%) in control group (p = 0.022). Consistently, 13/18 patients (72.2%) receiving BLM improved residual symptoms compared to 5/21 patients (23.8%) in control group (p = 0.003). FC values significantly diminished from the baseline to the end of follow up in patients that received BLM, while FC values remained almost stable in the control group. In conclusion, oral BLM supplementation appears to be a valid add-on therapy in order to maintain remission in patients with UC. Further randomized, placebo-controlled, double-blind clinical trials are needed to validate our results on a larger population or cohort of patients.
Introduction: Since the advent of artificial intelligence (AI) in clinical studies, luminal gastrointestinal endoscopy has made great progress, especially in the detection and characterization of neoplastic and preneoplastic lesions. Several studies have recently shown the potential of AI-driven endoscopy for the investigation of inflammatory bowel disease (IBD). This systematic review provides an overview of the current position and future potential of AI in IBD endoscopy. Methods: A systematic search was carried out in PubMed and Scopus up to 2 December 2020 using the following search terms: artificial intelligence, machine learning, computer-aided, inflammatory bowel disease, ulcerative colitis (UC), Crohn’s disease (CD). All studies on human digestive endoscopy were included. A qualitative analysis and a narrative description were performed for each selected record according to the Joanna Briggs Institute methodologies and the PRISMA statement. Results: Of 398 identified records, 18 were ultimately included. Two-thirds of these (12/18) were published in 2020 and most were cross-sectional studies (15/18). No relevant bias at the study level was reported, although the risk of publication bias across studies cannot be ruled out at this early stage. Eleven records dealt with UC, five with CD and two with both. Most of the AI systems involved convolutional neural network, random forest and deep neural network architecture. Most studies focused on capsule endoscopy readings in CD ( n = 5) and on the AI-assisted assessment of mucosal activity in UC ( n = 10) for automated endoscopic scoring or real-time prediction of histological disease. Discussion: AI-assisted endoscopy in IBD is a rapidly evolving research field with promising technical results and additional benefits when tested in an experimental clinical scenario. External validation studies being conducted in large and prospective cohorts in real-life clinical scenarios will help confirm the added value of AI in assessing UC mucosal activity and in CD capsule reading. Plain language summary Artificial intelligence for inflammatory bowel disease endoscopy Artificial intelligence (AI) is a promising technology in many areas of medicine. In recent years, AI-assisted endoscopy has been introduced into several research fields, including inflammatory bowel disease (IBD) endoscopy, with promising applications that have the potential to revolutionize clinical practice and gastrointestinal endoscopy. We have performed the first systematic review of AI and its application in the field of IBD and endoscopy. A formal process of paper selection and analysis resulted in the assessment of 18 records. Most of these (12/18) were published in 2020 and were cross-sectional studies (15/18). No relevant biases were reported. All studies showed positive results concerning the novel technology evaluated, so the risk of publication bias cannot be ruled out at this early stage. Eleven records dealt with UC, five with CD and two with both. Most studies focused on capsule endoscopy reading in CD patients ( n = 5) and on AI-assisted assessment of mucosal activity in UC patients ( n = 10) for automated endoscopic scoring and real-time prediction of histological disease. We found that AI-assisted endoscopy in IBD is a rapidly growing research field. All studies indicated promising technical results. When tested in an experimental clinical scenario, AI-assisted endoscopy showed it could potentially improve the management of patients with IBD. Confirmatory evidence from real-life clinical scenarios should be obtained to verify the added value of AI-assisted IBD endoscopy in assessing UC mucosal activity and in CD capsule reading.
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