Citations

Abstract Background and Aims Seven new advanced therapies, belonging to three new classes, have been approved for the treatment of inflammatory bowel diseases (IBD) since 2021. We examined trends in utilization of advanced therapies in the USA since 2021. Methods Using de-identified electronic health record data from 71 US health systems, we examined quarterly trends in utilization of different advanced therapies in patients with ulcerative colitis and Crohn’s disease between 2021 and 2025, using interrupted time-series analysis utilizing Prais–Winsten regression. Results In 11 093 patients with ulcerative colitis treated with advanced therapies, we observed an increase in use of upadacitinib (12.1% in Q2/2025; P < .001, compared with first quarter of prescription), interleukin-23p19 (IL23p19) antagonists (5.5%; P = .03), and ustekinumab (9.5%; P = .04), decline in use of tumor necrosis factor (TNF) antagonists (34.5%; P = .003), and stable use of vedolizumab (33.6%; P = .17) and sphingosine-1 phosphate receptor modulators (1.6%; P = .28). In 15 951 patients with Crohn’s disease treated with advanced therapies, we observed an increase in use of IL23p19 antagonists (15.0% in Q1/2025; P = .003) and upadacitinib (5.9%; P < .001) and decline in use of TNF antagonists (50.2%; P = .001) and ustekinumab (13.5%; P < .001). Conclusions Contemporary trends in advanced therapy utilization in patients with IBD suggest an increased utilization of upadacitinib and anti-interleukins, accompanied by a decline in use of TNF antagonists in the USA.

ABSTRACT Background Advanced therapies increase the risk of shingles in inflammatory bowel diseases (IBD). Aim To compare the risk of shingles with different advanced therapies in patients with IBD. Methods We identified patients with IBD who initiated treatment with tumour necrosis factor (TNF) antagonists, anti‐integrins, anti‐interleukins, Janus kinase (JAK) inhibitors, or sphingosine‐1 phosphate receptor (S1PR) modulators between 2016 and 2022 and had follow‐up for at least 1 year before and after treatment initiation. We estimated the incidence rate (IR per 100 person‐year [PY]) of shingles (overall and complicated) and compared the risk with different advanced therapies through multinomial propensity score‐based inverse probability of treatment weighting (IPTW), with propensity scores estimated through generalised boosted models, accounting for disease characteristics, healthcare utilisation, comorbidities and prior and concomitant medications. Weighted Cox proportional hazards models were used to estimate hazard ratios (HR) and 95% confidence intervals (CI) for multiple treatment comparisons. Results We included 21,675 patients followed over 27 months. IRs per 100 PY of shingles and complicated shingles were: TNF antagonists 1.0/0.3, anti‐integrin agents 1.4/0.4, anti‐interleukins 1.2/0.5, JAK inhibitors 3.3/0.9 and S1PR modulators 2.0/1.0. After adjusting for confounding variables, JAK inhibitors were associated with higher risks of shingles than TNF antagonists (HR 2.19; 1.28–3.75), anti‐integrins (HR 1.87; 1.12–3.14) and anti‐interleukins (HR 1.70; 0.98–2.96). Conclusions JAK inhibitors were associated with 1.7–2.2‐fold higher risk of shingles than other advanced therapies.

Abstract Background and Aims Intestinal ultrasound (IUS) is increasingly used to monitor treatment efficacy in inflammatory bowel disease (IBD) trials. However, standardized definitions for response, remission, and optimal assessment timing remain undefined. An international expert consensus meeting was held to establish IUS endpoints for clinical trials. Methods A panel of 35 international gastroenterologists and radiologists participated in a modified Delphi process, reviewing the literature and developing consensus statements. Agreement was defined as at least 75% consensus. Results Consensus was reached on 150 statements across four domains: general IBD (30 statements), luminal Crohn’s disease (CD) (43), perianal CD (51), and ulcerative colitis (UC) (26). For luminal CD and UC, ultrasound response was defined by: (1) a ≥25% reduction in bowel wall thickness (BWT) from baseline, or (2) multifactorial improvement, combining BWT reduction with ≥1 grade decrease in color Doppler signal (CDS) or another IUS parameter. Assessments were set at weeks 4-8 for the colon and week 12 for the terminal ileum. Ultrasound remission in luminal CD was defined as: (1) BWT normalization (≤3 mm) or (2) normalization of multiple parameters, including BWT, CDS, and all other IUS parameters. Similar remission criteria were proposed for UC, but the sigmoid BWT normal range (3-4 mm) remained uncertain. The bowel ultrasound score (BUSS) for CD and the Milan ultrasound criteria (MUC) for UC were supported as standardized scoring systems for trials. Conclusion This consensus provides standardized IUS definitions to enhance consistency in IBD trials, supporting the integration of IUS in future research.

Abstract Background and Aims The long-term efficacy and safety of upadacitinib in patients with moderate to severe Crohn’s disease (CD) were evaluated in the U-ENDURE Long-Term Extension (LTE) study. Here we report the results after 2 years of total maintenance treatment. Methods U-ENDURE is an ongoing 240-week LTE study conducted at 243 sites across 43 countries (first patient enrolled in LTE 21 March 2019). Patients who completed the 52-week maintenance study continued their previously assigned treatment, once-daily upadacitinib 15 mg or upadacitinib 30 mg. Efficacy was analyzed at week 48 of the LTE; safety was analyzed in the cumulative study population (combined 52 week maintenance and 48 week LTE) and the LTE study population only (cutoff date: 19 December 2023). Results From LTE week 0 to week 48, as-observed efficacy rates for clinical remission (per stool frequency/abdominal pain score, upadacitinib 15 mg: 78.3% to 82.9%; upadacitinib 30 mg: 84.7% to 76.6%; per CD Activity Index, upadacitinib 15 mg: 81.3% to 83.1%; upadacitinib 30 mg: 86.1% to 86.8%), endoscopic response (upadacitinib 15 mg: 59.6% to 67.1%; upadacitinib 30 mg: 71.2% to 69.6%), inflammatory biomarkers, and quality-of-life outcomes remained stable. The safety profile of the cumulative maintenance population observed through LTE week 48 was consistent with previous trials in the upadacitinib CD program. Treatment-emergent adverse event rates for the cumulative maintenance population were 283.1 and 273.4 events/100 patient-years for upadacitinib 15 mg and upadacitinib 30 mg, respectively. Event rates of serious treatment-­emergent adverse events were 16.0 events/100 patient-years for upadacitinib 15 mg and 14.6 events/100 patient-years for upadacitinib 30 mg. The most common adverse events of special interest (≥ 5.0 events/100 patient-years) were hepatic disorder, lymphopenia, creatine phosphokinase elevation, herpes zoster, and anemia. There was 1 treatment-emergent adverse event of suicide leading to death. Conclusion Sustained clinical, endoscopic, quality-of-life, and biomarker outcomes were observed in patients who were initial responders to upadacitinib and completed 2 years of maintenance therapy, with no new safety signals identified. Clinical trial identifier U-ENDURE; ClinicalTrials.gov number, NCT03345823.

ImportanceThere exists substantial heterogeneity in outcomes within T stages for patients with cutaneous squamous cell carcinoma (cSCC).ObjectiveTo determine whether a customized generative pretrained transformer model, trained on a comprehensive dataset with more than 1 trillion parameters and equipped with relevant focused context and retrieval augmented generation (RAG), could excel in aggregating and interpreting vast quantities of data to develop a novel class-based risk stratification system that outperforms the current standards.Design, Setting, and ParticipantsTo build the RAG knowledge base, a systematic review of the literature was conducted that addressed risk factors for poor outcomes in cSCC. Using the RAG-enabled generative pretrained transformer (GPT) model, we developed a novel class-based risk stratification system that assigned point values for risk factors, culminating in a GPT-based prognostication system called the artificial intelligence–derived risk score (AIRIS). The system’s performance was validated on a combined prospective and retrospective cohort of 2379 primary cSCC tumors (1996-2023) with at least 36 months of follow-up, against Brigham and Women’s Hospital (BWH) and American Joint Committee on Cancer Staging Manual, eighth edition (AJCC8) systems in stratifying risk for locoregional recurrence (LR), nodal metastasis (NM), distant metastasis (DM), and disease-specific death (DSD).Main Outcomes and MeasuresPerformance metrics evaluated included distinctiveness, homogeneity, and monotonicity, as defined by the AJCC8, as well as sensitivity, specificity, positive predictive value, negative predictive value, accuracy, the area under the receiver operating characteristic curve, and concordance.ResultsThe median age at diagnosis was 73 (IQR, 64-81) years, with 38.5% female patients and 61.5% male patients. The AIRIS prognostication system demonstrated superior sensitivity across all outcomes (LR, 49.1%; NM, 73.7%; DM, 82.5%; and DSD, 72.2%) and the highest area under the receiver operating characteristic curve values (LR, 0.69; NM, 0.81; DM, 0.85; and DSD, 0.80), indicating significantly enhanced discriminative capability compared with the BWH and AJCC8 systems. While all systems were comparably distinctive, the AIRIS prognostication system consistently demonstrated the lowest proportion of tumors exhibiting poor outcomes in low-risk categories, suggesting its improved homogeneity and monotonicity.Conclusions and RelevanceThe results of this diagnostic study suggest that the AIRIS system outperforms the existing BWH and AJCC8 prognostication systems, potentially providing a more effective tool for predicting poor outcomes in cSCC. This study illustrates the potential of large language models in refining prognostic tools, offering implications for treating patients with cancer.