Biopsy and blood-based molecular biomarker of inflammation in IBD.

OBJECTIVE: IBD therapies and treatments are evolving to deeper levels of remission. Molecular measures of disease may augment current endpoints including the potential for less invasive assessments. DESIGN: Transcriptome analysis on 712 endoscopically defined inflamed (Inf) and 1778 non-inflamed (Non-Inf) intestinal biopsies (n=498 Crohn's disease, n=421 UC and 243 controls) in the Mount Sinai Crohn's and Colitis Registry were used to identify genes differentially expressed between Inf and Non-Inf biopsies and to generate a molecular inflammation score (bMIS) via gene set variance analysis. A circulating MIS (cirMIS) score, reflecting intestinal molecular inflammation, was generated using blood transcriptome data. bMIS/cirMIS was validated as indicators of intestinal inflammation in four independent IBD cohorts. RESULTS: bMIS/cirMIS was strongly associated with clinical, endoscopic and histological disease activity indices. Patients with the same histologic score of inflammation had variable bMIS scores, indicating that bMIS describes a deeper range of inflammation. In available clinical trial data sets, both scores were responsive to IBD treatment. Despite similar baseline endoscopic and histologic activity, UC patients with lower baseline bMIS levels were more likely treatment responders compared with those with higher levels. Finally, among patients with UC in endoscopic and histologic remission, those with lower bMIS levels were less likely to have a disease flare over time. CONCLUSION: Transcriptionally based scores provide an alternative objective and deeper quantification of intestinal inflammation, which could augment current clinical assessments used for disease monitoring and have potential for predicting therapeutic response and patients at higher risk of disease flares.

Fecal Microbiota Transplantation Is Highly Effective in Real-World Practice: Initial Results From the FMT National Registry.

BACKGROUND & AIMS: Fecal microbiota transplantation (FMT) is used commonly for treatment of Clostridioides difficile infections (CDIs), although prospective safety data are limited and real-world FMT practice and outcomes are not well described. The FMT National Registry was designed to assess FMT methods and both safety and effectiveness outcomes from North American FMT providers. METHODS: Patients undergoing FMT in clinical practices across North America were eligible. Participating investigators enter de-identified data into an online platform, including FMT protocol, baseline patient characteristics, CDI cure and recurrence, and short and long-term safety outcomes. RESULTS: Of the first 259 participants enrolled at 20 sites, 222 had completed short-term follow-up at 1 month and 123 had follow-up to 6 months; 171 (66%) were female. All FMTs were done for CDI and 249 (96%) used an unknown donor (eg, stool bank). One-month cure occurred in 200 patients (90%); of these, 197 (98%) received only 1 FMT. Among 112 patients with initial cure who were followed to 6 months, 4 (4%) had CDI recurrence. Severe symptoms reported within 1-month of FMT included diarrhea (n = 5 [2%]) and abdominal pain (n = 4 [2%]); 3 patients (1%) had hospitalizations possibly related to FMT. At 6 months, new diagnoses of irritable bowel syndrome were made in 2 patients (1%) and inflammatory bowel disease in 2 patients (1%). CONCLUSIONS: This prospective real-world study demonstrated high effectiveness of FMT for CDI with a good safety profile. Assessment of new conditions at long-term follow-up is planned as this registry grows and will be important for determining the full safety profile of FMT.

Digital Health Technologies for Remote Monitoring and Management of Inflammatory Bowel Disease: A Systematic Review.

INTRODUCTION: Digital health technologies may be useful tools in the management of chronic diseases. We performed a systematic review of digital health interventions in the management of patients with inflammatory bowel diseases (IBD) and evaluated its impact on (i) disease activity monitoring, (ii) treatment adherence, (iii) quality of life (QoL) measures, and/or (iv) health care utilization. METHODS: Through a systematic review of multiple databases through August 31, 2020, we identified randomized controlled trials in patients with IBD comparing digital health technologies vs standard of care (SoC) for clinical management and monitoring and reporting impact on IBD disease activity, treatment adherence, QoL, and/or health care utilization or cost-effectiveness. We performed critical qualitative synthesis of the evidence supporting digital health interventions in patients with IBD and rated certainty of evidence using Grading of Recommendations Assessment, Development and Evaluation. RESULTS: Overall, we included 14 randomized controlled trials (median, 98 patients; range 34-909 patients; follow-up <12 months) that compared web-based interventions, mobile applications, and different telemedicine platforms with SoC (clinic-based encounters). Although overall disease activity and risk of relapse were comparable between digital health technologies and SoC (very low certainty of evidence), digital health interventions were associated with lower rate of health care utilization and health care costs (low certainty of evidence). Digital health interventions did not significantly improve patients' QoL and treatment adherence compared with SoC (very low certainty of evidence). Trials may have intrinsic selection bias due to nature of digital interventions. DISCUSSION: Digital health technologies may be effective in decreasing health care utilization and costs, though may not offer advantage in reducing risk of relapse, QoL, and improving treatment adherence in patients with IBD. These techniques may offer value-based care for population health management.

Impact of Digital Health Monitoring in the Management of Inflammatory Bowel Disease.

Technological advances now permit self-management strategies using mobile applications which could greatly benefit patient care. The purpose of this study was to investigate whether the use of the inflammatory bowel disease (IBD) digital health monitoring platform, HealthPROMISE, leads to better quality of care and improved health outcomes in IBD patients. IBD patients were recruited in gastroenterology clinics and asked to install the HealthPROMISE application onto their smartphones. Patient satisfaction, quality of care, quality of life, patient symptoms, and resource utilization metrics were collected throughout the study and sent directly to their healthcare teams. Patients with abnormal symptom/SIBDQ scores were flagged for their physicians to follow up. After one-year, patient outcome metrics were compared to baseline values. Overall, out of 59 patients enrolled in the study, 32 patients (54%) logged into the application at least once during the study period. The number of IBD-related ER visits/hospitalizations in the year of use compared to the prior year demonstrated a significant decrease from 25% of patients (8/32) to 3% (1/32) (p = 0.03). Patients also reported an increase in their understanding of the nature/causes of their condition after using the application (p = 0.026). No significant changes were observed in the number of quality indicators met (p = 0.67) or in SIBDQ scores (p = 0.48). Given the significant burden of IBD, there is a need to develop effective management strategies. This study demonstrated that digital health monitoring platforms may aid in reducing the number of ER visits and hospitalizations in IBD patients.

Home vs Hospital Infusion of Biologic Agents for Patients With Inflammatory Bowel Diseases.

Inflammatory bowel disease (IBD) therapy often requires biologic medications delivered by intravenous infusion.1-4 Historically, intravenous infusions of infliximab and vedolizumab in patients with IBD were delivered under direct supervision of clinicians in infusion centers at hospitals or clinics. Recently, intravenous infusions have transitioned into patient homes. Professional societies have differed on their recommendations for biologic home infusions (HI),5,6 yet limited data exist on the safety and efficacy of HI programs.7,8 Therefore, the primary aim of this study was to compare adverse outcomes (AOs), as defined as a composite of stopping therapy, IBD-related emergency-room (ER) visit, or IBD-related hospitalization, in patients with IBD receiving biologics as HI or at a hospital-based infusion center.

Digital triage for people with multiple sclerosis in the age of COVID-19 pandemic.

We propose a possible approach for the remote monitoring of infection risk in people with multiple sclerosis, especially those on immunosuppressant drugs, during COVID-19 pandemic. We developed a digital triage tool to be sent to patients to quickly identify people with high risk of COVID-19 infection. This tool will also limit unnecessary accesses to the MS centers reducing the risk of spreading the infection.

Remote Patient Monitoring in IBD: Current State and Future Directions.

PURPOSE OF REVIEW: Mobile apps are now increasingly used in conjunction with telemedicine and wearable devices to support remote patient monitoring (RPM). The goal of this paper is to review the available evidence and assess the scope of RPM integration into standard practices for care and management of chronic disease in general and, more specifically, inflammatory bowel disease (IBD). RECENT FINDINGS: RPM has been associated with improvements in health outcomes and indicators across a broad range of chronic diseases. However, there is limited data on the effectiveness of RPM in IBD care. From the emerging literature and body of research, we found promising results about the feasibility of integrating RPM in IBD care and RPM's capacity to support IBD improvement in key process and outcome metrics. Concerns regarding privacy and provider acceptability have limited the mass integration of RPM to date. However, with the healthcare industry's move toward value-based population care and the advent of novel payment models for RPM reimbursement, the adoption of RPM into standard IBD care practices will likely increase as the technology continues to improve and become a mainstream tool for healthcare delivery in the near future.

White Paper AGA: The Impact of Mental and Psychosocial Factors on the Care of Patients With Inflammatory Bowel Disease.

Patients with chronic medically complex disorders like inflammatory bowel diseases (BD) often have mental health and psychosocial comorbid conditions. There is growing recognition that factors other than disease pathophysiology impact patients' health and wellbeing. Provision of care that encompasses medical care plus psychosocial, environmental and behavioral interventions to improve health has been termed "whole person care" and may result in achieving highest health value. There now are multiple methods to survey patients and stratify their psychosocial, mental health and environmental risk. Such survey methods are applicable to all types of IBD programs including those at academic medical centers, independent health systems and those based within independent community practice. Once a practice determines that a patient has psychosocial needs, a variety of resources are available for referral or co-management as outlined in this paper. Included in this white paper are examples of psychosocial care that is integrated into IBD practices plus innovative methods that provide remote patient management.

Corrigendum to "Low Body Mass Index Can Identify Majority of Osteoporotic Inflammatory Bowel Disease Patients Missed by Current Guidelines".

[This corrects the article DOI: 10.1100/2012/807438.].

Personalized Technologies in Chronic Gastrointestinal Disorders: Self-monitoring and Remote Sensor Technologies.

With increased access to high-speed Internet and smartphone devices, patients have started to use mobile applications (apps) for various health needs. These mobile apps are now increasingly used in integration with telemedicine and wearables to support fitness, health education, symptom tracking, and collaborative disease management and care coordination. More recently, evidence (especially around remote patient monitoring) has started to build in some chronic diseases, and some of the digital health technologies have received approval from the Food and Drug Administration. With the changing healthcare landscape and push for value-based care, adoption of these digital health initiatives among providers is bound to increase. Although so far there is a dearth of published evidence about effectiveness of these apps in gastroenterology care, there are ongoing trials to determine whether remote patient monitoring can lead to improvement in process metrics or outcome metrics for patients with chronic gastrointestinal diseases.

Update on Fecal Microbiota Transplantation 2015: Indications, Methodologies, Mechanisms, and Outlook.

The community of microorganisms within the human gut (or microbiota) is critical to health and functions with a level of complexity comparable to that of an organ system. Alterations of this ecology (or dysbiosis) have been implicated in a number of disease states, and the prototypical example is Clostridium difficile infection (CDI). Fecal microbiota transplantation (FMT) has been demonstrated to durably alter the gut microbiota of the recipient and has shown efficacy in the treatment of patients with recurrent CDI. There is hope that FMT may eventually prove beneficial for the treatment of other diseases associated with alterations in gut microbiota, such as inflammatory bowel disease, irritable bowel syndrome, and metabolic syndrome, to name a few. Although the basic principles that underlie the mechanisms by which FMT shows therapeutic efficacy in CDI are becoming apparent, further research is needed to understand the possible role of FMT in these other conditions. Although relatively simple to perform, questions regarding both short-term and long-term safety as well as the complex and rapidly evolving regulatory landscape has limited widespread use. Future work will focus on establishing best practices and more robust safety data than exist currently, as well as refining FMT beyond current "whole-stool" transplants to increase safety and tolerability. Encapsulated formulations, full-spectrum stool-based products, and defined microbial consortia are all in the immediate future.

Statins Associated With Decreased Risk of New Onset Inflammatory Bowel Disease.

OBJECTIVES: Prior studies suggest that medication exposures may be associated with new onset inflammatory bowel disease (IBD). The aim of this study was to determine the effect of statins on the risk of new onset IBD in a large United States health claims database. METHODS: We conducted a retrospective matched case-control study with a national medical claims and pharmacy database from Source Healthcare Analytics LLC. We included any patient aged 18 or older with ICD-9 code 555.x for Crohn's disease (CD) or 556.x for ulcerative colitis (UC) between January 2008 and December 2012. IBD patients diagnosed in 2012 were compared with the age group, gender, race, and geographically matched controls. Controls had no ICD-9 codes for CD, UC, or IBD-associated diseases and no prescriptions for IBD-related medications. New onset IBD patients were defined as having at least three separate CD or UC ICD-9 codes and no IBD-related ICD-9 or prescription before first IBD ICD-9. Statin exposure was assessed by Uniform System of Classification level 5 code. To account for diagnostic delay, exposures within 6 months of first ICD-9 were excluded. Exposures within 12 and 24 months were excluded in sensitivity analyses. Conditional logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI) for new onset IBD, CD, and UC. RESULTS: A total of 9,617 cases and 46,665 controls were included in the analysis. Any statin exposure was associated with a significantly decreased risk of IBD (OR 0.68, 95% CI 0.64-0.72), CD (0.64, 95% CI 0.59-0.71), and UC (OR 0.70, 95% CI 0.65-0.76). This effect was similar for most specific statins and regardless of intensity of therapy. The protective effect against new onset CD was strongest among older patients. Statins' association with a lower risk of IBD was similar after adjusting for antibiotics, hormone replacement therapy, oral contraceptives, comorbidities, and cardiovascular medications. CONCLUSIONS: Statins may have a protective effect against new onset IBD, CD, and UC. This decreased risk is similar across most statins and appears to be stronger among older patients, particularly in CD.

Online social support networks.

Peer support groups have a long history and have been shown to improve health outcomes. With the increasing familiarity with online social networks like Facebook and ubiquitous access to the Internet, online social support networks are becoming popular. While studies have shown the benefit of these networks in providing emotional support or meeting informational needs, robust data on improving outcomes such as a decrease in health services utilization or reduction in adverse outcomes is lacking. These networks also pose unique challenges in the areas of patient privacy, funding models, quality of content, and research agendas. Addressing these concerns while creating patient-centred, patient-powered online support networks will help leverage these platforms to complement traditional healthcare delivery models in the current environment of value-based care.

Antibiotics associated with increased risk of new-onset Crohn's disease but not ulcerative colitis: a meta-analysis.

OBJECTIVES: The objective of this study was to perform a meta-analysis investigating antibiotic exposure as a risk factor for developing inflammatory bowel disease (IBD). METHODS: A literature search using Medline, Embase, and Cochrane databases was performed to identify studies providing data on the association between antibiotic use and newly diagnosed IBD. Included studies reported Crohn's disease (CD), ulcerative colitis (UC), or a composite of both (IBD) as the primary outcome and evaluated antibiotic exposure before being diagnosed with IBD. A random-effects meta-analysis was conducted to determine overall pooled estimates and 95% confidence intervals (CIs). RESULTS: A total of 11 observational studies (8 case-control and 3 cohort) including 7,208 patients diagnosed with IBD were analyzed. The pooled odds ratio (OR) for IBD among patients exposed to any antibiotic was 1.57 (95% CI 1.27-1.94). Antibiotic exposure was significantly associated with CD (OR 1.74, 95% CI 1.35-2.23) but was not significant for UC (OR 1.08, 95% CI 0.91-1.27). Exposure to antibiotics most markedly increased the risk of CD in children (OR 2.75, 95% CI 1.72-4.38). All antibiotics were associated with IBD, with the exception of penicillin. Exposure to metronidazole (OR 5.01, 95% CI 1.65-15.25) or fluoroquinolones (OR 1.79, 95% CI 1.03-3.12) was most strongly associated with new-onset IBD. CONCLUSIONS: Exposure to antibiotics appears to increase the odds of being newly diagnosed with CD but not UC. This risk is most marked in children diagnosed with CD.

Development of a Digital Patient Assistant for the Management of Cyclic Vomiting Syndrome: Patient-Centric Design Study.

BACKGROUND: Cyclic vomiting syndrome (CVS) is an enigmatic and debilitating disorder of gut-brain interaction that is characterized by recurrent episodes of severe vomiting and nausea. It significantly impairs patients' quality of life and can lead to frequent medical visits and substantial health care costs. The diagnosis for CVS is often protracted and complex, primarily due to its exclusionary diagnosis nature and the lack of specific biomarkers. This typically leads to a considerable delay in accurate diagnosis, contributing to increased patient morbidity. Additionally, the absence of approved therapies for CVS worsens patient hardship and reflects the urgent need for innovative, patient-centric solutions to improve CVS management. OBJECTIVE: We aim to develop a digital patient assistant (DPA) for patients with CVS to address their unique needs, and iteratively enhance the technical features and user experience on the initial DPA versions. METHODS: The development of the DPA for CVS used a design thinking approach, prioritizing user needs. A literature review and Patient Advisory Board shaped the initial prototype, focusing on diagnostic support and symptom tracking. Iterative development, informed by the design thinking approach and feedback from patients with CVS and caregivers through interviews and smartphone testing, led to significant enhancements in user interaction and artificial intelligence integration. The final DPA's effectiveness was validated using the System Usability Scale and feedback questions, ensuring it met the specific needs of the CVS community. RESULTS: The DPA developed for CVS integrates an introductory bot, daily and weekly check-in bots, and a knowledge hub, all accessible via a patient dashboard. This multicomponent solution effectively addresses key unmet needs in CVS management: efficient symptom and impacts tracking, access to comprehensive disease information, and a digital health platform for disease management. Significant improvements, based on user feedback, include the implementation of artificial intelligence features like intent recognition and data syncing, enhancing the bot interaction and reducing the burden on patients. The inclusion of the knowledge hub provides educational resources, contributing to better disease understanding and management. The DPA achieved a System Usability Scale score of 80 out of 100, indicating high ease of use and relevance. Patient feedback highlighted the DPA's potential in disease management and suggested further applications, such as integration into health care provider recommendations for patients with suspected or confirmed CVS. This positive response underscores the DPA's role in enhancing patient engagement and disease management through a patient-centered digital solution. CONCLUSIONS: The development of this DPA for patients with CVS, via an iterative design thinking approach, offers a patient-centric solution for disease management. The DPA development framework may also serve to guide future patient digital support and research scenarios.

Real world performance of the 21st Century Cures Act population-level application programming interface.

OBJECTIVE: To evaluate the real-world performance of the SMART/HL7 Bulk Fast Health Interoperability Resources (FHIR) Access Application Programming Interface (API), developed to enable push button access to electronic health record data on large populations, and required under the 21st Century Cures Act Rule. MATERIALS AND METHODS: We used an open-source Bulk FHIR Testing Suite at 5 healthcare sites from April to September 2023, including 4 hospitals using electronic health records (EHRs) certified for interoperability, and 1 Health Information Exchange (HIE) using a custom, standards-compliant API build. We measured export speeds, data sizes, and completeness across 6 types of FHIR. RESULTS: Among the certified platforms, Oracle Cerner led in speed, managing 5-16 million resources at over 8000 resources/min. Three Epic sites exported a FHIR data subset, achieving 1-12 million resources at 1555-2500 resources/min. Notably, the HIE's custom API outperformed, generating over 141 million resources at 12 000 resources/min. DISCUSSION: The HIE's custom API showcased superior performance, endorsing the effectiveness of SMART/HL7 Bulk FHIR in enabling large-scale data exchange while underlining the need for optimization in existing EHR platforms. Agility and scalability are essential for diverse health, research, and public health use cases. CONCLUSION: To fully realize the interoperability goals of the 21st Century Cures Act, addressing the performance limitations of Bulk FHIR API is critical. It would be beneficial to include performance metrics in both certification and reporting processes.

Cumulus: a federated electronic health record-based learning system powered by Fast Healthcare Interoperability Resources and artificial intelligence.

OBJECTIVE: To address challenges in large-scale electronic health record (EHR) data exchange, we sought to develop, deploy, and test an open source, cloud-hosted app "listener" that accesses standardized data across the SMART/HL7 Bulk FHIR Access application programming interface (API). METHODS: We advance a model for scalable, federated, data sharing and learning. Cumulus software is designed to address key technology and policy desiderata including local utility, control, and administrative simplicity as well as privacy preservation during robust data sharing, and artificial intelligence (AI) for processing unstructured text. RESULTS: Cumulus relies on containerized, cloud-hosted software, installed within a healthcare organization's security envelope. Cumulus accesses EHR data via the Bulk FHIR interface and streamlines automated processing and sharing. The modular design enables use of the latest AI and natural language processing tools and supports provider autonomy and administrative simplicity. In an initial test, Cumulus was deployed across 5 healthcare systems each partnered with public health. Cumulus output is patient counts which were aggregated into a table stratifying variables of interest to enable population health studies. All code is available open source. A policy stipulating that only aggregate data leave the institution greatly facilitated data sharing agreements. DISCUSSION AND CONCLUSION: Cumulus addresses barriers to data sharing based on (1) federally required support for standard APIs, (2) increasing use of cloud computing, and (3) advances in AI. There is potential for scalability to support learning across myriad network configurations and use cases.

Cumulus: A federated EHR-based learning system powered by FHIR and AI.

Objective: To address challenges in large-scale electronic health record (EHR) data exchange, we sought to develop, deploy, and test an open source, cloud-hosted app 'listener' that accesses standardized data across the SMART/HL7 Bulk FHIR Access application programming interface (API). Methods: We advance a model for scalable, federated, data sharing and learning. Cumulus software is designed to address key technology and policy desiderata including local utility, control, and administrative simplicity as well as privacy preservation during robust data sharing, and AI for processing unstructured text. Results: Cumulus relies on containerized, cloud-hosted software, installed within a healthcare organization's security envelope. Cumulus accesses EHR data via the Bulk FHIR interface and streamlines automated processing and sharing. The modular design enables use of the latest AI and natural language processing tools and supports provider autonomy and administrative simplicity. In an initial test, Cumulus was deployed across five healthcare systems each partnered with public health. Cumulus output is patient counts which were aggregated into a table stratifying variables of interest to enable population health studies. All code is available open source. A policy stipulating that only aggregate data leave the institution greatly facilitated data sharing agreements. Discussion and Conclusion: Cumulus addresses barriers to data sharing based on (1) federally required support for standard APIs (2), increasing use of cloud computing, and (3) advances in AI. There is potential for scalability to support learning across myriad network configurations and use cases.