Faecal microbiota transplantation (FMT) has recently re-emerged as a viable therapeutic option for colonic disorders. Its efficacy has been proved in the treatment of Clostridium difficile infection which has encouraged research into the use of FMT for other disorders involving gut dysbiosis, such as ulcerative colitis (UC), a chronic inflammatory disease characterized by relapsing and remitting colonic inflammation. Although the FMT protocol for C. difficile treatment is well established, there are numerous additional factors to consider when applying FMT to treat inflammatory diseases. Various studies have attempted to address these factors but technical inconsistency between reports has resulted in a failure to achieve clinically significant findings. Case reports of FMT in UC have shown favorable outcomes yet demonstrating these effects on a larger scale has proved difficult. The following review aims to explore these issues and to analyze why they may be hindering the progression of FMT therapy in UC.
Clostridium difficile ; Colitis, Ulcerative* ; Colon ; Dysbiosis ; Fecal Microbiota Transplantation ; Inflammation ; Microbiota* ; Ulcer*

Electronic health (eHealth) data collection is increasingly used in many chronic illnesses, to track pattern of disease. eHealth systems have the potential to revolutionize care. Inflammatory bowel disease (IBD) is a paradigm for such an approach: this is a chronic disease that usually affects young and technologically literate patient population, who are motivated to be involved in their own care. A range of eHealth technologies are available for IBD. This review considers the strengths and weaknesses of 7 platforms that focus on patient-provider interaction. These have been developed in Denmark, United States, the Netherlands, and the United Kingdom, demonstrating an international interest in this form of technology and interaction. Not only do these technologies aim to improve care but they also have the potential to collect large amounts of information. Information includes demographics and patient reported outcomes (symptoms, quality of life), quality of care (steroid use, among other metrics) and outcomes such as hospitalization. These data could inform quality improvement programmes to improve their focus. eHealth technology is also open to machine learning to analyze large data sets, through which personalized algorithms may be developed.
Biomedical Technology* ; Chronic Disease ; Data Collection ; Dataset ; Demography ; Denmark ; Electronic Health Records ; Great Britain ; Hospitalization ; Humans ; Inflammatory Bowel Diseases* ; Machine Learning ; Mobile Applications ; Netherlands ; Quality Improvement ; Telemedicine ; United States

Proton pump inhibitors (PPIs) are widely used though an association with hypomagnesaemia and hypocalcaemia has only been described since 2006. Patients typically present after years of stable dosing with musculoskeletal, neurological or cardiac arrhythmic symptoms, but it is likely that many cases are under-recognised. Magnesium levels resolve rapidly on discontinuation of PPI therapy and hypomagnesaemia recurs rapidly on rechallenge with any agent in the class. The cellular mechanisms of magnesium homeostasis are increasingly being understood, including both passive paracellular absorption through claudins and active transcellular transporters, including the transient receptor potential channels (TRPM6) identified in the intestine and nephron. PPIs may alter luminal pH by modulating pancreatic secretions, affecting non-gastric H+K+ATPase secretion, altering transporter transcription or channel function. A small reduction in intestinal absorption appears pivotal in causing cumulative deficiency. Risk factors have been associated to help identify patients at risk of this effect but clinical vigilance remains necessary for diagnosis.
Absorption ; Claudins ; Diagnosis ; Fatigue ; Homeostasis ; Humans ; Hydrogen-Ion Concentration ; Intestinal Absorption ; Intestines ; Magnesium ; Nephrons ; Phenobarbital ; Proton Pump Inhibitors ; Risk Factors ; Transcytosis ; Transient Receptor Potential Channels

BACKGROUND/AIMS: IBD2020 is a global forum for standards of care in inflammatory bowel disease (IBD). The aim of the IBD2020 survey was to identify and describe variations in quality care of IBD. METHODS: Patients with IBD from Finland, Italy, France, Canada, Germany, UK, Spain and Sweden were surveyed during 2013 to 2014, covering: disease characteristics; impact on life and work; organization and perceived quality of care. RESULTS: Seven thousand five hundred and seven patients participated (median age, 39 years [range, 10–103 years]; 2,354 male [31.4%]), including 4,097 (54.6%) with Crohn’s disease (CD) and 3,410 (45.4%) with ulcerative colitis (UC). Median time from symptom onset to diagnosis was 1 year for both CD (range, 0–47 years) and UC (range, 0–46 years), with no clear evidence of improvement in diagnostic delay over the preceding 24 years. Half of the patients (3,429; 50.0%) rated their care as “excellent” or “very good,” with similar results for CD and UC across countries. Five factors were significantly (P < 0.01) associated with perceived good quality of care: quality of specialist communication; review consultation being long enough; failure to share information; no access to a dietician; speed of advice. CONCLUSIONS: The IBD2020 survey has highlighted areas related to quality of care of IBD from the patients’ perspective, with scope for improvement.
Canada ; Colitis, Ulcerative ; Crohn Disease ; Diagnosis ; Finland ; France ; Germany ; Humans ; Inflammatory Bowel Diseases ; Italy ; Male ; Nutritionists ; Quality of Health Care ; Spain ; Specialization ; Standard of Care ; Surveys and Questionnaires ; Sweden

Inflammatory bowel disease encompasses Crohn’s disease and ulcerative colitis and is characterized by uncontrolled, relapsing, and remitting course of inflammation in the gastrointestinal tract. Artificial intelligence represents a new era within the field of gastroenterology, and the amount of research surrounding artificial intelligence in patients with inflammatory bowel disease is on the rise. As clinical trial outcomes and treatment targets evolve in inflammatory bowel disease, artificial intelligence may prove as a valuable tool for providing accurate, consistent, and reproducible evaluations of endoscopic appearance and histologic activity, thereby optimizing the diagnosis process and identifying disease severity. Furthermore, as the applications of artificial intelligence for inflammatory bowel disease continue to expand, they may present an ideal opportunity for improving disease management by predicting treatment response to biologic therapies and for refining the standard of care by setting the basis for future treatment personalization and cost reduction. The purpose of this review is to provide an overview of the unmet needs in the management of inflammatory bowel disease in clinical practice and how artificial intelligence tools can address these gaps to transform patient care.

Background/Aims: Predictors of short-term outcome of intravenous (IV) steroid therapy in acute severe ulcerative colitis (ASUC) have been well described, but the impact of cytomegalovirus (CMV) infection as a predictor of outcome remains debatable. We investigated the role of quantitative CMV polymerase chain reaction (PCR) as a predictor of short-term outcome in patients with ASUC. Methods: Consecutive patients with ASUC satisfying Truelove and Witts criteria hospitalized at All India Institute of Medical Sciences (AIIMS) from May 2016 to July 2019 were included; all received IV steroid. The primary outcome measure was steroid-failure defined as the need for rescue therapy (with ciclosporin or infliximab) or colectomy during admission. AIIMS’ index (ulcerative colitis index of severity > 6 at day 1+fecal calprotectin > 1,000 μg/g at day 3), with quantitative CMV PCR on biopsy samples obtained at initial sigmoidoscopy were correlated with the primary outcome. Results: Thirty of 76 patients (39%) failed IV corticosteroids and 12 (16%) underwent surgery. Patients with steroid failure had a significantly higher mucosal CMV DNA than responders (3,454 copies/mg [0–2,700,000] vs. 116 copies/mg [0–27,220]; P< 0.01). On multivariable analysis, mucosal CMV DNA load > 2,000 copies/mg (odds ratio [OR], 10.2; 95% confidence interval [CI], 2.6–39.7; P< 0.01) and AIIMS’ index (OR, 39.8; 95% CI, 4.4–364.4; P< 0.01) were independent predictors of steroid-failure and need for colectomy. The combination correctly predicted outcomes in 84% of patients with ASUC. Conclusions High mucosal CMV DNA ( > 2,000 copies/mg) independently predicts failure of IV corticosteroids and short-term risk of colectomy and it has an additional value to the established markers of disease severity in patients with ASUC.

BACKGROUND/AIMS: This was a Phase 2 study (NCT02015793) to evaluate the pharmacokinetics, safety, and efficacy of adalimumab in Chinese patients with Crohn's disease (CD). METHODS: Thirty, adult Chinese patients with CD (CD Activity Index [CDAI] 220-450; high-sensitivity [hs]-C-reactive protein [CRP] ≥3 mg/L) received double-blind adalimumab 160/80 mg or 80/40 mg at weeks 0/2, followed by 40 mg at weeks 4 and 6. An open-label extension period occurred from weeks 8-26; patients received 40 mg adalimumab every other week. Serum adalimumab concentration and change from baseline in fecal calprotectin (FC) were measured during the double-blind period. Clinical remission (CDAI <150), response (decrease in CDAI ≥70 points from baseline), and change from baseline in hs-CRP were assessed through week 26. Nonresponder imputation was used for missing categorical data and last observation carried forward for missing hs-CRP/FC values. No formal hypothesis was tested. Adverse events were monitored. RESULTS: Mean adalimumab serum concentrations during the induction phase were 13.9-18.1 µg/mL (160/80 mg group) and 7.5-9.5 µg/mL (80/40 mg group). During the double-blind period, higher remission/response rates and greater reductions from baseline in hs-CRP and FC were observed with adalimumab 160/80 mg compared to that with 80/40 mg. Adverse event rates were similar among all treatment groups. CONCLUSIONS: Adalimumab serum concentrations in Chinese patients with CD were comparable to those observed previously in Western and Japanese patients. Clinically meaningful remission rates and improvement in inflammatory markers were achieved with both dosing regimens; changes occurred rapidly with adalimumab 160/80 mg induction therapy. No new safety signals were reported.
Adult ; Asian Continental Ancestry Group* ; Crohn Disease* ; Humans ; Leukocyte L1 Antigen Complex ; Pharmacokinetics

BACKGROUND/AIMS: TrueColours ulcerative colitis (TCUC) is a comprehensive web-based program that functions through email, providing direct links to questionnaires. Several similar programs are available, however patient perspectives are unexplored. METHODS: A pilot study was conducted to determine feasibility, usability and patient perceptions of real-time data collection (daily symptoms, fortnightly quality of life, 3 monthly outcomes). TCUC was adapted from a web-based program for patients with relapsing-remitting bipolar disorder, using validated UC indices. A semi-structured interview was developed and audio-recorded face-to-face interviews were conducted after 6 months of interaction with TCUC. Transcripts were coded in NVivo11, a qualitative data analysis software package. An inductive approach and thematic analysis was conducted. RESULTS: TCUC was piloted in 66 patients for 6 months. Qualitative analysis currently defies statistical appraisal beyond “data saturation,” even if it has more influence on clinical practice than quantitative data. A total of 28 face-to-face interviews were conducted. Six core themes emerged: awareness, control, decision-making, reassurance, communication and burden of treatment. There was a transcending overarching theme of patient empowerment, which cut across all aspects of the TCUC experience. CONCLUSIONS: Patient perception of the impact of real-time data collection was extremely positive. Patients felt empowered as a product of the self-monitoring format of TCUC, which may be a way of improving self-management of UC whilst also decreasing the burden on the individual and healthcare services.
Automatic Data Processing ; Bipolar Disorder ; Colitis, Ulcerative ; Data Collection ; Delivery of Health Care ; Electronic Mail ; Humans ; Patient Participation ; Pilot Projects ; Quality of Life ; Self Care ; Statistics as Topic ; Ulcer