Khanna, Sahil

INTRODUCTION: Recurrent Clostridioides difficile infection (rCDI) is associated with substantial morbidity, healthcare utilization, and costs. US FDA-approved microbiota-based therapies, fecal microbiota spores, live-brpk (VOS) and fecal microbiota, live-jslm (RBL), reduce recurrence risk, but cost-effective placement within the rCDI treatment pathway remains uncertain. METHODS: We performed a US payer-perspective cost-effectiveness analysis using decision-tree modeling according to CHEERS 2022 guidelines. Adults with rCDI entered the model after the first or second recurrence and were followed for <1 year. Effectiveness inputs were derived from ECOSPOR III/IV (VOS), PUNCH CD3/CD3-OLS (RBL) trials, and published literature for standard-of-care (SoC) comparators. Outcomes included costs (2025 USD), quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratios (ICERs). Probabilistic and deterministic sensitivity analyses were performed using a willingness-to-pay threshold (WTP) of $150,000/QALY. ICERs were interpreted across $50,000, $100,000, $120,000, and $150,000/QALY. RESULTS: After the first recurrence, RBL was cost-effective vs SoC alone ($25,415/QALY). Early initiation remained favorable compared with delayed use for VOS ($27,239/QALY) and RBL ($26,704/QALY). After the second recurrence, VOS remained cost-effective vs SoC (ICER $53,983/QALY), whereas RBL exceeded the WTP threshold (ICER $171,496/QALY). Exploratory cross-trial VOS vs RBL comparisons yielded ICERs of $124,636/QALY after first recurrence and $137,350/QALY after second recurrence, indicating threshold-sensitive product-to-product comparisons. DISCUSSION: Earlier initiation of microbiota-based therapies after the first rCDI provides greater health benefits at acceptable cost-effectiveness thresholds compared with delayed use, supporting earlier integration into rCDI treatment strategies. VOS vs RBL comparisons should be interpreted as exploratory indirect comparisons pending comparative real-world or head-to-head data.

Abstract Recurrent Clostridioides difficile infection (CDI) is a clinical syndrome, a trial end point, and a surveillance construct. Epidemiologic and administrative datasets count repeat positive tests or coded episodes, but conflate colonization or test of cure with recurrence. Trials operationalize recurrent CDI with symptoms and testing, but have variable follow-up. Clinically, recurrent CDI requires response, and recurrent illness requires excluding postinfection bowel dysfunction and mimics. Relapse and reinfection remain difficult to distinguish without strain typing, which is more relevant for research. We propose a pragmatic lens: explicitly name the definition used, match it to the decision, and adjudicate clinical recurrence before escalating therapy.

Background: Clostridioides difficile infection (CDI) is well-recognised as a cause of flare in inflammatory bowel disease (IBD). Objectives: To prospectively evaluate CDI as a cause of flare in moderate-to-severe ulcerative colitis (UC) and perform a region-specific systematic review to evaluate the role of CDI in IBD patients in South Asia. Design: A single-centre prospective observational study followed by a region-specific systematic review. Data sources and methods: The observational study was conducted between December 2024 and December 2025 and included patients with moderate-to-severe UC flares. Triple testing using Stool glutamate dehydrogenase (GDH), an enzyme immunoassay (EIA) for toxin A/B, and polymerase chain reaction (PCR) testing was performed. A literature search in PubMed, Embase, and Scopus was conducted on 5th December 2025 to identify relevant studies from South Asia. Information on the study population (IBD type, age, gender, disease activity), the testing method, and the outcomes of CDI testing were extracted. The pooled prevalence of CDI was estimated using a random-effects model. The risk of Bias was assessed using Joanna Briggs’ tool. Results: Of the 101 patients with active UC, 59 had acute severe UC. Six patients tested positive for GDH, whereas only one tested positive for EIA and PCR. A total of 13 studies reporting on 1267 patients were included in the systematic review. Pooled prevalence of CDI was 0.06 (0.03–0.11, I 2 = 80.8%). Subgroup analyses were performed by testing method, study type, and region. However, there was persistent statistical heterogeneity. Funnel plot and Egger’s test suggested the presence of publication bias. Conclusion: Our observational study shows a low prevalence of CDI as a cause of UC flares. The findings of the systematic review suggest high variability in the CDI positivity across South Asia. These differences were not fully explained by the method of testing, the type of study, or the geographic location of the study.

Large language models (LLMs) and related generative artificial intelligence (AI) systems are rapidly entering clinical workflows, including in gastroenterology and hepatology, where text-heavy documentation, guideline-driven care, and high-volume patient messaging create a strong demand for decision support and automation. Deployment raises distinctive risks: hallucinations and unsafe recommendations, automation bias, privacy and confidentiality threats, inequitable care, intellectual property and licensing uncertainty, and unclear allocation of responsibility across clinicians, institutions, and vendors. Regulators are increasingly emphasizing a lifecycle approach to trustworthy AI, including validation, risk management, human oversight, cybersecurity, monitoring, and transparency. Frameworks for healthcare protection regulate how health information may be shared with external model providers and how outputs should be logged, audited, and retained. This review synthesizes practical guidance for responsible LLM use, organized around (1) tiered use cases and risk stratification; (2) ethical principles (beneficence, non-maleficence, autonomy, justice, and accountability); (3) core legal and regulatory considerations; and (4) operational governance, evaluation, and monitoring strategies. Actionable checklists to support institutional adoption, use, and transparency are provided. Responsible use requires aligning LLM capabilities with risk, preventing inappropriate data sharing, validating performance in representative populations, ensuring human oversight and clear accountability, mitigating harm, and maintaining an evidence-based, continuously monitored deployment lifecycle.

INTRODUCTION: Clostridioides difficile infection (CDI) presents a significant challenge in patients with inflammatory bowel disease (IBD), with high recurrence rates and complications. Predicting recurrent CDI (rCDI) in patients with IBD is crucial for implementing targeted interventions to improve patient outcomes. This study aimed to develop and validate a predictive model (RecurCDI-IBD) using supervised machine learning to identify patients with IBD at high risk of developing rCDI. METHODS: Data were collected from adult patients with IBD diagnosed with CDI between 2013 and 2021. Inclusion criteria included adult patients with a confirmed diagnosis of CDI and a history of IBD. The Gradient Boosting Machine learning model (XGBoost) was used to train a binary classification model. Feature engineering included demographic data (age and sex), clinical data (IBD subtype, medication use, and comorbidities), and laboratory data. The primary outcome was the occurrence of rCDI within 60 days of the initial CDI episode. RESULTS: The RecurCDI-IBD model achieved an accuracy of 80.05% and an Area Under the Curve of 0.88 for predicting rCDI. Key predictive features included IBD subtype, sex, specific medications (such as steroids and anti-TNF agents), and comorbidities (such as chronic pulmonary and renal disease). DISCUSSION: The RecurCDI-IBD model demonstrates good discriminatory ability with balanced precision and recall in identifying patients with IBD at higher risk for rCDI. These findings highlight the potential of data-driven approaches to support clinical risk assessment. Further studies incorporating larger and more diverse cohorts and prospective external validation are needed to confirm generalizability and optimize clinical applicability.

Abstract Background Fecal microbiota, live-jslm (RBL) is FDA-approved for prevention of recurrent Clostridioides difficile infection (rCDI) in adults following completion of antibiotic treatment. The safety and efficacy of RBL have been demonstrated in trials, but few studies have evaluated outcomes in real-world populations. The primary objective of ROAR (NCT05835219) is to assess RBL effectiveness in reducing rCDI through 8 weeks in clinical practice. Table 1. Treatment success rates by subgroup Methods ROAR is an ongoing, prospective, multicenter, open-label, non-interventional registry of patients receiving RBL for rCDI prevention in the United States. Adults who completed antibiotics for rCDI and are not in an interventional trial are eligible. The primary endpoint assesses the proportion of patients who experience treatment success (no CDI recurrence through 8 weeks). Other objectives describe rCDI management in real-world clinical practice and adverse events (AEs) after RBL administration. This analysis includes patients who received RBL within 30 days of completing antibiotics for rCDI. Results As of September 18, 2024, 76 patients received RBL within 30 days of completing antibiotics and completed 8 weeks of follow-up. Patients were mostly White (93.4%) and female (76.3%), with a median age of 69 years (range, 19-96 years) and a median body mass index of 24.4 (range, 16.5-49.4). Through 8 weeks, 82.9% of patients (63/76; 95% CI, 72.5%-90.6%) experienced treatment success. Similarly, the rate of treatment success was 87.8% (36/41) in the subgroup of patients who received RBL after an antibiotic washout period &gt; 72 hours. Treatment success rates ranged from 77-100% across patient subgroups, including those stratified by age and number of previous CDI episodes within the past 3 years (Table). Overall, 18 (23.7%) patients experienced an AE, 6 (7.9%) experienced a serious AE, and 1 (1.3%) experienced an AE of special interest (large bowel obstruction). AEs assessed as related to RBL occurred in 3 patients (3.9%). There was 1 fatal AE during the study, considered unrelated to RBL. Conclusion Initial results from ROAR are consistent with previous RBL trial results, indicating that RBL is effective and safe for preventing rCDI through 8 weeks after administration in real-world practice. Disclosures Nicholas W. Van Hise, PharmD, Ferring: Advisor/Consultant|Ferring: Grant/Research Support|Innoviva: Advisor/Consultant Teena Chopra, MD, MPH, Cepheid: Advisor/Consultant|Ferring Pharmaceuticals, Inc: Advisor/Consultant|Melinta: Speaker|Pfizer: Advisor/Consultant|Pfizer: Speaker|Shinogi: Speaker Kelly R. Reveles, PharmD, PhD, AstraZeneca: Advisor/Consultant|Ferring Pharmaceuticals: Advisor/Consultant Sahil Khanna, MBBS, MS, Ferring Pharmaceuticals, Inc: Grant/Research Support|ProbioTech Inc: Advisor/Consultant|Rise: Advisor/Consultant|Takeda: Advisor/Consultant|Vedanta: Grant/Research Support Lasse Nielsen, MS, Ferring: Employee Lorien E. Urban, PhD, Ferring Pharmaceuticals Inc: Employee

Background: Recurrent Clostridioides difficile infection (rCDI) disrupts health-related quality of life (HRQoL), often causing debilitating symptoms, emotional distress, and social withdrawal. Fecal microbiota, live-jslm (RBL; REBYOTA ® ) is approved by the FDA to reduce CDI recurrence. While the burden of rCDI is well established, less is known about the patient experience after RBL treatment and its impact on HRQoL. Objectives: To explore the burden of rCDI on HRQoL, and any improvements in symptoms and impacts after RBL administration by colonoscopy. Design: A qualitative sub-study embedded in the CDI-SCOPE phase IIIb clinical trial (NCT05831189). Methods: Qualitative interviews were conducted with 30 trial participants approximately 8 weeks after RBL treatment. Interviews were conducted using a semi-structured discussion guide; they were audio-recorded, transcribed verbatim, and thematically analyzed. Results: Thirty of 41 trial participants (73%) took part in the qualitative interviews (July 2023–September 2024). Participants (mean age 59 years; 87% female) had experienced multiple prior rCDI episodes. Before RBL treatment, participants reported severe symptoms, including diarrhea (30/30; 100%), abdominal pain (21/30; 70%), and fatigue (14/30; 47%), which negatively affected daily life, social interactions, and emotional health. Eight weeks after RBL treatment, no participants reported a recurrence. Diarrhea symptoms resolved (17/30; 57%) or improved (13/30; 43%) for all participants, typically within 1 month. Average severity scores for diarrhea declined markedly (from 8.9 to 1.3). Every participant (100%) reported improved ability to engage in daily activities; nearly all (29/30; 97%) described positive changes to social life/relationships, and 77% (23/30) reported improved emotional well-being. Conclusion: RBL administered via colonoscopy provided rapid, meaningful relief from rCDI symptoms, and due to symptom improvements, many participants reported that they were able to resume daily life. These findings highlight the broader value of RBL in restoring HRQoL and overall well-being. Trial registration: ClinicalTrials.gov: NCT05831189.