Jairath, Vipul

Abstract Background and Aims To evaluate the effect of mirikizumab, a p19-targeted anti-interleukin-23, on histological and/or endoscopic outcomes in moderately-to-severely active ulcerative colitis [UC]. Methods Endoscopic remission [ER], histological improvement [HI], histological remission [HR], histological-endoscopic mucosal improvement [HEMI], and histological-endoscopic mucosal remission [HEMR] were assessed at Week [W]12 [LUCENT-1: N = 1162, induction] and W40 [LUCENT-2: N = 544, maintenance] for patients randomised to mirikizumab or placebo. Analyses were performed to evaluate predictors of: HEMI at W12 with mirikizumab and HEMR at W40 in patients re-randomised to subcutaneous [SC] mirikizumab; associations between W12 histological/endoscopic endpoints and W40 outcomes in mirikizumab responders re-randomised to mirikizumab SC; and associations between W40 endoscopic normalisation [EN] with/without HR. Results Significantly more patients treated with mirikizumab achieved HI, HR, ER, HEMI, and HEMR vs placebo [p <0.001], irrespective of prior biologic/tofacitinib failure [p <0.05]. Lower clinical baseline disease activity, female sex, no baseline immunomodulator use, and no prior biologic/tofacitinib failure were predictors of HEMI at W12 [p <0.05]. Corticosteroid use and longer disease duration were negative predictors of achieving HEMR at W40 [p <0.05]. W12 HI, HR, or ER was associated with W40 HEMI or HEMR [p <0.05]; ER at W12 was associated with clinical remission [CR] [p <0.05] and corticosteroid-free remission [CSFR] at W40 [p = 0.052]. HR and HEMR at W12 were associated with CSFR, CR, and symptomatic remission at W40. Alternate HEMR [EN + HR] at W40 was associated with bowel urgency remission at W40 [p <0.05]. Conclusions Early resolution of endoscopic and histological inflammation with mirikizumab is associated with better UC outcomes. Clinicaltrials.gov: LUCENT-1, NCT03518086; LUCENT-2, NCT03524092.

INTRODUCTION: Rapidity of symptom resolution informs treatment choice in patients with moderate-severe ulcerative colitis (UC). We conducted a systematic review and network meta-analysis comparing early symptomatic remission with approved therapies. METHODS: Through a systematic literature review to December 31, 2022, we identified randomized trials in adult outpatients with moderate-severe UC treated with approved therapies (tumor necrosis factor α antagonists, vedolizumab, ustekinumab, janus kinase inhibitors, or ozanimod), compared with each other or placebo, reporting rates of symptomatic remission (based on partial Mayo score, with resolution of rectal bleeding and near-normalization of stool frequency) at weeks 2, 4, and/or 6. We performed random-effects network meta-analysis using a frequentist approach and estimated relative risk (RR) and 95% confidence interval values. RESULTS: On network meta-analysis, upadacitinib was more effective than all agents in achieving symptomatic remission at weeks 2 (range of RR, 2.85–6.27), 4 (range of RR, 1.78–2.37), and 6 (range of RR, 1.84–2.79). Tumor necrosis factor α antagonists and filgotinib, but not ustekinumab and vedolizumab, were more effective than ozanimod in achieving symptomatic remission at week 2, but not at weeks 4 and 6. With approximately 10% placebo-treated patients achieving symptomatic remission at 2 weeks, we estimated 68%, 22%, 23.7%, 23.9%, 22.2%, 18.4%, 15.7%, and 10.9% of upadacitinib-, filgotinib-, infliximab-, adalimumab-, golimumab-, ustekinumab-, vedolizumab-, and ozanimod-treated patients would achieve early symptomatic remission, ustekinumab and vedolizumab achieving rapid remission only in biologic-naïve patients. DISCUSSION: In a systematic review and network meta-analysis, upadacitinib was most effective in achieving early symptomatic remission, whereas ozanimod was relatively slower acting.

INTRODUCTION: We evaluated the real-world effectiveness and safety of ustekinumab (UST) in patients with Crohn's disease (CD). METHODS: This study used a retrospective, multicenter, multinational consortium of UST-treated CD patients. Data included patient demographics, disease phenotype, disease activity, treatment history, and concomitant medications. Cumulative rates of clinical, steroid-free, endoscopic, and radiographic remissions were assessed using time-to-event analysis, and clinical predictors were assessed by using multivariate Cox proportional hazard analyses. Serious infections and adverse events were defined as those requiring hospitalization or treatment discontinuation. RESULTS: A total of 1,113 patients (51.8% female, 90% prior antitumor necrosis factor exposure) were included, with a median follow-up of 386 days. Cumulative rates of clinical, steroid-free, endoscopic, and radiographic remissions at 12 months were 40%, 32%, 39%, and 30%, respectively. Biologic-naive patients achieved significantly higher rates of clinical and endoscopic remissions at 63% and 55%, respectively. On multivariable analyses, prior antitumor necrosis factor (hazard ratio, 0.72; 95% confidence interval, 0.49–0.99) and vedolizumab exposure (hazard ratio, 0.65; 95% confidence interval, 0.48–0.88) were independently associated with lower likelihoods of achieving endoscopic remission. In patients who experienced loss of remission, 77 of 102 (75%) underwent dose optimization, and 44 of 77 (57%) achieved clinical response. An additional 152 of 681 patients (22.3%) were dose-optimized because of primary nonresponse incomplete response to UST, of whom 40.1% (61 of 152) responded. Serious infections occurred in 3.4% of patients while other noninfectious adverse events (lymphoma [n = 1], arthralgia [n = 6], rash [n = 6], headache [n = 3], hepatitis [n = 3], hair loss [n = 3], neuropathy [n = 1], and vasculitis [n = 1]) occurred in 2.4% of patients. DISCUSSION: UST represents a safe and effective treatment option for CD, with 40% of patients from a highly refractory cohort achieving clinical remission by 12 months. The greatest treatment effect of UST was seen in biologic-naive patients, and dose escalation may recapture clinical response.

The T-lymphocyte–mediated inflammation in Crohn's disease can be assessed by quantifying CD3-positive T-lymphocyte counts in colonic sections. We developed and validated a process to reliably quantify immunohistochemical marker-positive cells in a high-throughput setting using whole slide images (WSIs) of CD3-immunostained colonic and ileal tissue sections. In regions of interest (ROIs) and/or whole tissue sections of 40 WSIs from 36 patients with Crohn's disease, CD3-positive cells were quantified by an expert gastrointestinal pathologist (gold standard) and by image analysis algorithms developed with software from 3 independent vendors. Semiautomated quantification of CD3-positive cell counts estimated in 1 ROI per section were accurate when compared with manual analysis (Pearson correlation coefficient, 0.877 to 0.925). Biological variability was acceptable in digitally determined CD3-positive cell measures between 2 to 5 ROIs annotated on the same tissue section (coefficient of variation <25%). Results from computer-aided analysis of CD3-positive T lymphocytes in a whole tissue section and the average of results from 2 to 5 ROIs per tissue section lacked reliability (overestimation or underestimation and systematic bias), suggesting that absolute quantification of CD3-positive T lymphocytes in a whole tissue section may be more accurate. Semiautomated image analysis in WSIs demonstrated reproducible CD3-positive cell measures across 3 independent algorithms. A computer-aided digital image analysis method was developed and validated to quantify CD3-positive T lymphocytes in colonic and ileal biopsy sections from patients with Crohn's disease. Results support consideration of this digital analysis method for use in future Crohn's disease clinical studies.

Abstract Background The histologic assessment of inflammatory bowel disease (IBD) relies on qualitative grading methods. Although widely accepted, these instruments are time consuming, require specialized training, and suffer from inter-rater disagreement. For these reasons there is a need for more consistent and less biased methods to assess IBD histology. Methods The algorithm was initially developed using hematoxylin and eosin (H&E) stained whole slide images of colon biopsies (238 ulcerative colitis [UC], 30 Crohn’s Disease [CD], and 28 endoscopically normal adjacent [ENA]). The first two stages implement convolutional neural networks (CNN) which segment 11 key anatomical features (Figure 1). The third stage extracts the features and models them for prediction. Results The first stage of the algorithm was validated on an independent test dataset by calculating the intersection-over-union (IoU) for the ground truth and prediction masks, resulting in a value of 0.97. A preliminary validation for stage 2 was performed by randomly selecting 30 unique biopsy sections from the test dataset and applying a 150um x 150um counting frame. An expert gastrointestinal pathologist confirmed correct cell identification by the algorithm for three of the primary inflammatory cell types: plasma cells, eosinophils, and neutrophils which resulted in a sensitivity/specificity of 0.76/0.99, 0.78/1.00, and 1.00/0.98 respectively. The final stage predicts RHI grades which could be directly compared to pathologist reads (Figure 2, 3, and 4). Conclusion This is the first study to demonstrate the value of machine learning to assess histologic activity in IBD. These methods lay the foundations for future work, and we believe stages 1 and 2 can be explored independently to statistically characterize the histologic changes of IBD, enabling the improvement of preexisting grading systems.

LINKED CONTENTThis article is linked to Cushing et al and Cushing and Ananthakrishnan papers. To view these articles, visit https://doi.org/10.1111/apt.15568 and https://doi.org/10.1111/apt.15621.

LINKED CONTENTThis article is linked to Pai et al and Rowe papers. To view these articles, visit https://doi.org/10.1111/apt.15503 and https://doi.org/10.1111/apt.15537.