A clinical decision support tool may help to optimise vedolizumab therapy in Crohn's disease

Multimodal Profiling of Peripheral Blood Identifies Proliferating Circulating Effector CD4+ T Cells as Predictors for Response to Integrin α4β7-Blocking Therapy in Inflammatory Bowel Disease

BACKGROUND & AIMS

Despite the success of biological therapies in treating inflammatory bowel disease, managing patients remains challenging due to the absence of reliable predictors of therapy response.

METHODS

In this study, we prospectively sampled 2 cohorts of patients with inflammatory bowel disease receiving the anti-integrin α4β7 antibody vedolizumab. Samples were subjected to mass cytometry; single-cell RNA sequencing; single-cell variable, diversity, and joining sequencing; serum proteomics; and multidimensional flow cytometry to comprehensively assess vedolizumab-induced immunologic changes in the peripheral blood and their potential associations with treatment response.

RESULTS

Vedolizumab treatment led to substantial alterations in the abundance of circulating immune cell lineages and modified the T-cell receptor diversity of gut-homing CD4+ memory T cells. Through integration of multimodal parameters and machine learning, we identified a significant increase in proliferating CD4+ memory T cells among nonresponders before treatment compared with responders. This predictive T-cell signature demonstrated an activated T-helper 1/T-helper 17 cell phenotype and exhibited elevated levels of integrin α4β1, potentially making these cells less susceptible to direct targeting by vedolizumab.

CONCLUSIONS

These findings provide a reliable predictive classifier with significant implications for personalized inflammatory bowel disease management.

Application of clinical decision support tools for predicting outcomes with vedolizumab therapy in patients with inflammatory bowel disease: A KASID multicentre study

BACKGROUND/AIM

We aimed to validate clinical decision support tools (CDSTs) to predict real-life effectiveness of vedolizumab (VDZ) in patients with inflammatory bowel disease.

METHODS

We retrospectively enrolled patients with Crohn's disease (CD) or ulcerative colitis (UC) treated with VDZ at 10 tertiary referral centres in Korea between January 2017 and November 2021. We assessed clinical remission (CREM) and response (CRES), corticosteroid-free clinical remission (CSF-CREM) and response (CSF-CRES), biochemical response based on C-reactive protein (BioRES[CRP]) and faecal calprotectin (BioRES[FC]), endoscopic healing (EH), and the need to optimise or switch drugs based on CDST-defined response groups. Additionally, the area under the receiver operating characteristics curve (AUC) for the CDSTs was calculated.

RESULTS

We included 143 patients with CD and 219 with UC. We observed incremental trends on CSF-CRES at week 14 (W14) (ptrend = 0.004) and decreasing trends for the need to optimise or switch drugs (ptrend = 0.016) in CD from the low to high probability groups. Except for CSF-CREM at W54, we noticed incremental trends for all clinical responses at W14, W26 and W54 (ptrend <0.001) in UC. W26 and W54 BioRES[CRP] and W14 EH also showed increasing trends (ptrend <0.05) in UC. With increasing probabilities of response, drug optimisation or switching was less frequently required in UC (ptrend = 0.013). With 26 points cut-off, CDSTs effectively identified W14 CSF-CRES, W26 BioRES[CRP], BioRES[FC] and W54 BioRES[CRP] in UC, all with AUCs >0.600, whereas CDSTs showed poor accuracy in CD.

CONCLUSIONS

CDSTs for VDZ had acceptable accuracy in predicting effectiveness outcomes including clinical and biochemical outcomes in UC. However, their utility in CD was limited.

Ustekinumab or Vedolizumab after Failure of Anti-TNF Agents in Crohn's Disease: A Review of Comparative Effectiveness Studies

Background: Anti-tumour necrosis factor (TNF) agents are effective in Crohn's disease (CD), but some patients lose responsiveness and require alternative biologic therapy. Until recently, ustekinumab and vedolizumab were the only other biological agents approved for use in CD. There are no randomised trials which compare the efficacy of these two agents in patients with anti-TNF refractory disease, but several retrospective cohort studies have compared their effectiveness in this setting. Aim: To review the effectiveness of ustekinumab and vedolizumab in anti-TNF refractory patients with CD. Methods: We included studies that compared the effectiveness of ustekinumab and vedolizumab in treating patients with anti-TNF refractory CD. We recorded the sample size, primary and secondary outcome measures and whether the studies employed adjustments for appropriate confounders. Results: Fourteen studies were included with a total sample size of 5651, of whom 2181 (38.6%) were treated with vedolizumab and the rest were treated with ustekinumab (61.4%). Of the fourteen studies included, eight found ustekinumab to be more effective in achieving clinical remission/steroid-free remission in the induction phase or during maintenance therapy (at least 1-year post-treatment) or that treatment persistence rates with ustekinumab were higher than with vedolizumab. Only one study reported vedolizumab to be superior during the maintenance phase in terms of clinical remission or treatment persistence rates. Biochemical outcomes were reported in five studies, two of which showed superiority for ustekinumab at 14 weeks and the other at 52 weeks. Only two studies reported endoscopic and/or radiologic outcomes; of these, one study showed ustekinumab to be significantly better at achieving endoscopic and radiologic responses. Adverse outcomes were broadly comparable, barring a single study which reported a lower hospitalisation rate for severe infection with ustekinumab. Conclusions: Most studies found ustekinumab to be more effective or non-inferior to vedolizumab in treating patients with anti-TNF refractory CD. Although many studies adjusted appropriately for confounders, the possibility of residual confounding remains and further data from prospective studies are warranted to confirm these findings. Further studies are required to compare these two therapies to other emerging therapies, such as Janus-kinase inhibitors.

Integrating Evidence to Guide Use of Biologics and Small Molecules for Inflammatory Bowel Diseases

Advances in science have led to the development of multiple biologics and small molecules for the treatment of inflammatory bowel diseases (IBDs). This growth in advanced medical therapies has been accompanied by an increase in methodological innovation to study and compare therapies. Guidelines provide an evidence-based approach to integrating therapies into routine practice, but they are often unable to provide timely recommendations as new therapies come to market, and they have limited incorporation of real-world evidence when making recommendations. This limits the scope and usability of guidelines, and a gap remains in defining how best to position and integrate advanced medical therapies for IBD. In this review, we provide a framework for clinicians and researchers to understand key differences in sources of evidence, how different methodologies are applied to study the comparative effectiveness of advanced medical therapies in IBD, and considerations for how these sources of evidence can be used to better integrate current guideline recommendations. Over time, we anticipate this framework will allow for a transition to living guidelines and/or practice recommendations.

Impact of artificial intelligence on prognosis, shared decision-making, and precision medicine for patients with inflammatory bowel disease: a perspective and expert opinion

INTRODUCTION

Artificial intelligence (AI) is expected to impact all facets of inflammatory bowel disease (IBD) management, including disease assessment, treatment decisions, discovery and development of new biomarkers and therapeutics, as well as clinician-patient communication.

AREAS COVERED

This perspective paper provides an overview of the application of AI in the clinical management of IBD through a review of the currently available AI models that could be potential tools for prognosis, shared decision-making, and precision medicine. This overview covers models that measure treatment response based on statistical or machine-learning methods, or a combination of the two. We briefly discuss a computational model that allows integration of immune/biological system knowledge with mathematical modeling and also involves a 'digital twin', which allows measurement of temporal trends in mucosal inflammatory activity for predicting treatment response. A viewpoint on AI-enabled wearables and nearables and their use to improve IBD management is also included.

EXPERT OPINION

Although challenges regarding data quality, privacy, and security; ethical concerns; technical limitations; and regulatory barriers remain to be fully addressed, a growing body of evidence suggests a tremendous potential for integration of AI into daily clinical practice to enable precision medicine and shared decision-making.

The Future of Advanced Therapies for Pediatric Crohn's Disease

Pediatric Crohn's disease commonly presents with moderate-to-severe intestinal inflammation with a greater risk of complications if remission is not achieved. Anti-tumor necrosis factor therapies have offered the possibility of deep and durable remission; however, many children do not respond or no longer respond over time. Further, some children do not require broader systemic immunosuppression to achieve remission and are better served by an alternative treatment strategy. Proper utilization of advanced biologic and small-molecule therapies, which have become available for adult patients since anti-tumor necrosis factor medications, is paramount for tighter disease control for a large proportion of children. Newer advanced therapies such as anti-integrin and anti-interleukin biologics, and several small-molecule agents capitalize on various mechanisms through narrower immunologic targets and reduced immunogenicity. Given limited regulatory approvals of these agents for use in children with Crohn's disease, clinicians continue to rely on data extrapolated from clinical trials in adult patients, sparse pediatric studies, and a growing real-world experience for treatment selection and optimization. In this article, we discuss currently available treatment options, pipeline drugs, and relevant data as they pertain to some of the most pressing clinical challenges faced in treating pediatric Crohn's disease.

Vedolizumab in Mild-to-Moderate Crohn's Disease Patients Naïve to Biological Therapy: A Multicentric Observational Study

Background

In real-world experience, the number of patients using vedolizumab as first-line biological therapy was low. We aimed to evaluate the effectiveness and safety of vedolizumab in mild-to-moderate Crohn's disease (CD) biologic-naïve patients.

Methods

We performed a retrospective multicentric cohort study with patients who had clinical activity scores (Harvey-Bradshaw Index [HBI]) measured at baseline and weeks 12, 26, 52, as well as at the last follow-up. Clinical response was defined as a reduction ≥3 in HBI, whereas clinical remission as HBI ≤4. Mucosal healing was defined as the complete absence of ulcers in control colonoscopies. Kaplan-Meier survival analysis was used to assess the persistence with vedolizumab.

Results

From a total of 66 patients, 53% (35/66) reached clinical remission at week 12. This percentage increased to 69.7% (46/66) at week 26, and 78.8% (52/66) at week 52. Mucosal healing was achieved in 62.3% (33/53) of patients. Vedolizumab was well tolerated, and most adverse events were minor. During vedolizumab treatment, 3/66 patients underwent surgery.

Conclusions

This study demonstrates the effectiveness and safety of vedolizumab as a first-line biological agent in patients with mild-to-moderate CD.

The importance of predicting patient responses to monoclonal antibodies for Crohn's disease

INTRODUCTION

Crohn's disease (CD) is a chronic immune-mediated inflammatory bowel disease that results in relapsing and remitting symptoms but progressive transmural bowel damage leading to significant morbidity. CD results from dysregulation of the immune system related to genetic and environmental factors. While the use of monoclonal antibodies targeting cytokines and adhesion molecules has been shown to improve outcomes in CD patients, their widespread use has been limited due to high costs as well as variable access. Here, we summarize the factors that have been shown to correlate with responsiveness to biologic agents for use in practice.

AREAS COVERED

We summarize the current literature regarding factors that have been shown to influence patient response to various biologic agents including: patient-related factors (e.g. age, gender, weight smoking history); disease-specific factors (e.g. disease duration, location/extension, behavior/phenotype, severity); genetic markers; transcription factors, and the gut microbiome. Finally, we review the utility of prediction models and present data supporting the use of recently developed decision support tools.

EXPERT OPINION

Clinical decision support tools developed by machine learning are currently available for the selection of biologic agents in CD patients. We expect these models to become an integral tool for clinicians in the treatment of CD in the coming years.

Precision medicine and drug optimization in adult inflammatory bowel disease patients

Inflammatory bowel diseases (IBD) encompass two main entities including ulcerative colitis and Crohn's disease. Although having a common global pathophysiological mechanism, IBD patients are characterized by a significant interindividual heterogeneity and may differ by their disease type, disease locations, disease behaviours, disease manifestations, disease course as well as treatment needs. Indeed, although the therapeutic armamentarium for these diseases has expanded rapidly in recent years, a proportion of patients remains with a suboptimal response to medical treatment due to primary non-response, secondary loss of response or intolerance to currently available drugs. Identifying, prior to treatment initiation, which patients are likely to respond to a specific drug would improve the disease management, avoid unnecessary side effects and reduce the healthcare expenses. Precision medicine classifies individuals into subpopulations according to clinical and molecular characteristics with the objective to tailor preventative and therapeutic interventions to the characteristics of each patient. Interventions would thus be performed only on those who will benefit, sparing side effects and expense for those who will not. This review aims to summarize clinical factors, biomarkers (genetic, transcriptomic, proteomic, metabolic, radiomic or from the microbiota) and tools that could predict disease progression to guide towards a step-up or top-down strategy. Predictive factors of response or non-response to treatment will then be reviewed, followed by a discussion about the optimal dose of drug required for patients. The time at which these treatments should be administered (or rather can be stopped in case of a deep remission or in the aftermath of a surgery) will also be addressed. IBD remain biologically complex, with multifactorial etiopathology, clinical heterogeneity as well as temporal and therapeutic variabilities, which makes precision medicine especially challenging in this area. Although applied for many years in oncology, it remains an unmet medical need in IBD.

Comparative real-world effectiveness of vedolizumab and ustekinumab for patients with ulcerative colitis: a GETAID multicentre cohort study

INTRODUCTION

There are currently no comparative data on the efficacy and safety of vedolizumab and ustekinumab in ulcerative colitis (UC) after anti-TNF therapy fails.

METHODS

We retrieved the full datasets of two observational, multicentre, retrospective studies of patients with UC for whom anti-TNF therapy failed and the patients were then treated with either vedolizumab or ustekinumab. The outcomes included steroid-free clinical remission, clinical remission, treatment persistence, colectomy, hospitalization, and serious and infectious adverse events. Propensity scores weighted comparison was applied.

RESULTS

In total, 121 patients were included in the vedolizumab group and 97 were included in the ustekinumab group. At week 14 and week 52, in the weighted cohort, no difference was found between vedolizumab and ustekinumab for steroid-free clinical remission (OR = 0.55 [0.21-1.41], p = .21 and 0.94 [0.40-2.22], p = .89, respectively). There was no difference between vedolizumab and ustekinumab for secondary outcomes such as clinical remission, hospitalization, UC-related surgery, treatment persistence and serious and infectious adverse events.

CONCLUSION

In patients with UC for whom anti-TNF therapy failed, no difference was found between vedolizumab and ustekinumab after propensity scores weighted comparison. Further studies are required to determine predictive factors of the efficacy of both biological agents.

Personalized medicine in inflammatory bowel disease: Perspectives on Asia

Inflammatory bowel diseases are chronic, relapsing inflammatory disorders of the gastrointestinal tract with variable disease courses and complications, which in some cases can result in significant morbidities and disabilities. Etiologies remain unclear due to complex interactions between genetic and environmental factors. Considering the heterogeneity of inflammatory bowel diseases, personalized approaches in diagnosing and managing affected patients would be beneficial in maximizing treatment efficacies and minimizing adverse events. Personalized medicine may also help to stratify patients with a high risk of progression and inflammatory bowel disease-related complications and identify sub-phenotypic mechanisms to facilitate drug discovery and the development of new treatments. In Asia, with a rapidly increasing incidence and prevalence of inflammatory bowel diseases, studies have shown that patients of Asian ethnicity differ from their Western counterparts in terms of genetic and clinical aspects of inflammatory bowel diseases. Therefore, personalized medicine may differ for patients of Asian ethnicity with inflammatory bowel diseases. We reviewed and summarized current evidence concerning personalized medicine for the diagnosis and management of patients with inflammatory bowel diseases and its possible role from an Asian perspective.

Feasibility of a Clinical Decision Support Tool for Ustekinumab to Predict Clinical Remission and Relapse in Patients With Crohn's Disease: A Multicenter Observational Study

BACKGROUND

Ustekinumab was recently approved for the treatment of moderate to severe Crohn's disease (CD). Although the ustekinumab Clinical Decision Support Tool (UST-CDST) was able to predict ustekinumab responsiveness in a clinical trial, it is not clear whether UST-CDST can also predict a future clinical relapse following ustekinumab therapy in the real-life setting.

METHODS

We enrolled patients with moderate to severe CD who were refractory to conventional therapies and who showed a clinical response after induction therapy with ustekinumab and monitored them until the relapse. We performed a Cox proportional hazard analysis to investigate the predictive capability of UST-CDST for a clinical disease relapse.

RESULTS

Clinical remission rates at week 20 were 25.0% for low-probability responders, 66.7% for intermediate-probability responders, and 75.0% for high-probability responders. The high-probability responders were more likely to achieve clinical remission at week 20 compared with the low-probability responders. Among 99 patients with moderate to severe CD, 37 (37.4%) experienced a clinical relapse during the median follow-up period of 18.0 months of ustekinumab treatment. The cumulative relapse rates were 70.0% in the low-probability responders, 35.9% in the intermediate-probability responders, and 22.5% in the high-probability responders (P = .001). In a multivariable Cox proportional hazard analysis, the high-probability responders and intermediate-probability responders had a lower risk of clinical relapse than the low-probability responders. Receiver operating characteristic analysis using UST-CDST to predict relapse revealed an area under the curve of 0.698.

CONCLUSIONS

The UST-CDST can predict clinical relapse in patients with moderate to severe CD subjected to ustekinumab therapy.

Clinical Decision Support Tool for Infliximab in Crohn's Disease

Biologic treatment options for Crohn's disease (CD) are increasing and providers will need enhanced support in integrating these therapies into routine practice. Using phase 3 clinical trial programs in CD, we have previously built and validated clinical decision support tools for achieving clinical remission (CREM) with vedolizumab and ustekinumab in CD.1-4 We now aim to develop a clinical decision support tool for infliximab in CD.

Efficacy and Safety of 2 Vedolizumab Intravenous Regimens for Perianal Fistulizing Crohn's Disease: ENTERPRISE Study

BACKGROUND & AIMS

Fistulizing Crohn's disease (CD) is challenging to treat. We report results from ENTERPRISE, a randomized, double-blind, phase 4 trial evaluating 2 vedolizumab intravenous dosing regimens in patients with fistulizing CD.

METHODS

Patients with moderately to severely active CD and 1-3 active perianal fistulae (identified on magnetic resonance imaging [MRI]) received vedolizumab 300 mg intravenously at weeks 0, 2, 6, 14, and 22 (VDZ) or the same regimen plus an additional vedolizumab dose at week 10 (VDZ + wk10). Reduction from baseline in draining perianal fistulae and disease activity, MRI assessments, health-related quality of life (HRQoL), and safety were evaluated. Enrollment was stopped prematurely because of recruitment challenges; analyses are descriptive.

RESULTS

Of 32 patients with ≥1 active fistulae at baseline per MRI and postbaseline fistulae healing assessment, 28 (14 per dosing regimen) had ≥1 draining fistulae at baseline (assessed by gentle finger compression during clinical exam). Rapid and sustained fistula closure was observed; 53.6% (VDZ, 64.3%; VDZ + wk10, 42.9%) and 42.9% (VDZ, 50.0%; VDZ + wk10, 35.7%) of patients achieved ≥50% decrease in draining fistulae and 100% fistulae closure, respectively, at week 30. Mean (standard deviation) CD and Perianal Disease Activity Index scores decreased by 51.1 (78.3) and 4.1 (3.3), respectively, at week 30. HRQoL improved throughout the study. No new safety signals were observed.

CONCLUSIONS

Sustained improvements in fistulizing CD were seen with both vedolizumab regimens. An additional dose at week 10 does not appear to alter treatment outcomes. Safety profile was consistent with other vedolizumab studies.

CLINICALTRIALS

gov no: NCT02630966; EudraCT: 2015-000852-12.

How Do We Predict a Patient's Disease Course and Whether They Will Respond to Specific Treatments?

Gastroenterologists will be all too familiar with the difficult decisions that managing inflammatory bowel disease often presents. How aggressively should I treat this patient? Do I expect them to have a mild or aggressive form of disease? Do they need a biologic? If so, which one? And when should I start it? The reality is that the answers that would be right for one patient might be disastrous for another. The growing therapeutic armamentarium will only make these decisions more difficult, and yet, we have seen how other specialties have begun to use the molecular heterogeneity in their diseases to provide some answers. Here, we review the progress that has been made in predicting the future for any given patient with inflammatory bowel disease-whether that is the course of disease that they will experience or whether or not they will respond to, or indeed tolerate, a particular therapy.

Specificity of clinical decision support tools for vedolizumab and ustekinumab in biologically naïve patients with Crohn's disease

BACKGROUND AND AIMS

Clinical decision support tools (CDST) were developed to predict drug response to various biological treatments for Crohn's disease (CD). This study investigated whether CDSTs for vedolizumab (V-CDST) and ustekinumab (U-CDST) can be used as prognostic or drug-specific markers to predict response.

METHODS

A hypothetical scenario involving 872 patients with CD who were exposed to the first biological therapy at Samsung Medical Center between 1995 and 2020 is presented. V-CDST & U-CDST were calculated based on clinical and laboratory data immediately before the first biologic was initiated. The Cumulative Link Mixed Model (CLMM) test, weighted Kappa and plot, and Spearman's correlation was used to determine the degree of agreement and difference between the two tools.

RESULTS

25% of all patients diagnosed with biologically naïve CD were categorized into different probability groups using V-CDST and U-CDST. The difference between the two tools was significantly based on a two-sample paired ordinal test with Cumulative Link Mixed Model (CLMM) (p-value < .001). Concordance between the two tools with a total of 654 subjects (75% of all patients) showed a similar probability (weighted Kappa: 0.47, 95% CI: 0.41-0.52).

CONCLUSIONS

V-CDST and U-CDST are useful in selecting vedolizumab or ustekinumab in 25% of biologically naïve CD patients in our hypothetical scenario.

Point-of-Care Testing and Home Testing: Pragmatic Considerations for Widespread Incorporation of Stool Tests, Serum Tests, and Intestinal Ultrasound

Breaking through the biologic therapy efficacy plateau for inflammatory bowel disease requires the strategic development of personalized biomarkers in the tight control model. After risk stratification early in the disease course, targeted serial monitoring consistently to assess clinical outcomes in response to therapy allows for quick therapeutic adjustments before bowel damage can occur. Point-of-care intestinal ultrasound performed by the treating gastroenterologist is an accurate cross- sectional biomarker that monitors intestinal inflammation in real-time, enhances patient care, and increases shared understanding to help achieve common treatment goals. Combining intestinal ultrasound during a clinic visit with existing serum and stool biomarkers in a home testing setup with electronic health monitoring allows for an optimized, patient-centered personalized treatment algorithm that may improve treatment outcomes. Here, we review the current state, pragmatic considerations, and future implications of point-of-care testing and home testing for noninvasive inflammatory bowel disease monitoring in the tight control model.

Proposed pathway for therapeutic drug monitoring and dose escalation of vedolizumab

Vedolizumab is a gut-selective monoclonal antibody approved for the management of Crohn's disease and ulcerative colitis. The available data demonstrate a favourable response to dose escalation in patients with primary non-response or secondary loss of response to vedolizumab. While therapeutic drug monitoring has a proven clinical utility for tumour necrosis factor antagonists, the available guidance for therapeutic drug monitoring and dose escalation of vedolizumab is rather limited. The present review proposes a practical algorithm to use vedolizumab trough levels in the management of treatment failure. Therapeutic drug monitoring can differentiate underexposed patients from those with mechanistic failure. Underdosed patients can respond to dose escalation instead of unnecessarily switching to other treatment modalities. We also review the safety and potential cost-effectiveness of vedolizumab dose escalation, the role of antidrug antibodies and the possible applicability of this strategy to subcutaneous vedolizumab.

Dose optimisation for Loss of Response to Vedolizumab- Pharmacokinetics and Immune Mechanisms

BACKGROUND

Real life data regarding pharmacokinetics of vedolizumab in patients needing dose optimisation are scarce. We set to examine whether pre-optimisation vedolizumab levels associate with therapy outcomes and which mechanisms explain the associations.

METHODS

A multicentre observational study assessed the outcome of dose increase in association with pre-escalation levels in vedolizumab-treated patients. SubsequentIy, α4β7 occupancy on peripheral blood [PB] and intestinal lamina propria [LP] tissues was investigated on various cellular subsets in patients undergoing lower endoscopy on infusion day. Cellular localisation of vedolizumab-bound α4β7 and effects on M1 and M2 macrophages were also explored.

RESULTS

A total of 161 inflammatory bowel disease [IBD] patients were included. Among 129/161 patients intensified during maintenance [Week 14 onward], pre-intensification trough levels were comparable or higher among those subsequently attaining post-optimisation clinical, biomarker, and endoscopic remission, compared with non-remitting patients [p = 0.09, 0.25, 0.04, respectively]. Similar results were demonstrated for those dose-optimised during induction [Week 6, n = 32]. In the immune sub-study [n = 43], free α4β7 receptors at trough were similarly low among patients with/without mucosal healing, on PB T cells [p = 0.15], LP T cells [p = 0.88], and on PB eosinophils [p = 0.08]. Integrin receptors on M1 and M2 macrophages were also saturated by low levels of vedolizumab and anti-inflammatory cytokine secretion was not increased. Co-localisation and dissociation experiments demonstrated membranal α4β7 receptors of two origins: non-internalised and newly generated α4β7, but re-binding was still complete at very low concentrations.

CONCLUSIONS

These results do not support pharmacokinetics as the mechanism responsible for loss of response to vedolizumab, nor do they support a need for higher drug concentration to enhance vedolizumab's immune effects. Higher pre-escalation levels may indicate less clearance [less severe disease] and higher likelihood of subsequent re-gained response, regardless of therapy escalation.

Machine learning using clinical data at baseline predicts the efficacy of vedolizumab at week 22 in patients with ulcerative colitis

Predicting the response of patients with ulcerative colitis (UC) to a biologic such as vedolizumab (VDZ) before administration is an unmet need for optimizing individual patient treatment. We hypothesized that the machine-learning approach with daily clinical information can be a new, promising strategy for developing a drug-efficacy prediction tool. Random forest with grid search and cross-validation was employed in Cohort 1 to determine the contribution of clinical features at baseline (week 0) to steroid-free clinical remission (SFCR) with VDZ at week 22. Among 49 clinical features including sex, age, height, body weight, BMI, disease duration/phenotype, treatment history, clinical activity, endoscopic activity, and blood test items, the top eight features (partial Mayo score, MCH, BMI, BUN, concomitant use of AZA, lymphocyte fraction, height, and CRP) were selected for logistic regression to develop a prediction model for SFCR at week 22. In the validation using the external Cohort 2, the positive and negative predictive values of the prediction model were 54.5% and 92.3%, respectively. The prediction tool appeared useful for identifying patients with UC who would not achieve SFCR at week 22 during VDZ therapy. This study provides a proof-of-concept that machine learning using real-world data could permit personalized treatment for UC.

Positioning biologics in the management of moderate to severe Crohn's disease

PURPOSE OF REVIEW

Since there is a lack of head-to-head randomized controlled trials, little direction is provided from guidelines on the positioning of biologics for the treatment of Crohn's disease (CD). This review utilizes comparative effectiveness and safety results from real-world data and network meta-analyses to inform clinical practice for positioning of biological therapies in the treatment of moderate-to-severe CD.

RECENT FINDINGS

We summarize the results of studies pertaining to the identification of predictors for response to biologics in CD. Recently published studies about the management of moderate-to-severe CD are discussed and a positioning algorithm is proposed for the therapeutic approach of these patients.

SUMMARY

Different classes of biologics are comparable with regards to safety and almost similar in effectiveness in the management of CD. There are certain clinical scenarios in which one biologic is more effective than another. For instance, patients with a more aggressive disease phenotype such as fistulizing disease would benefit from infliximab over other biologics, whereas in older patients at a higher risk for infectious complications, it may be more appropriate to use ustekinumab or vedolizumab over the anti-tumor necrosis factor (TNF) agents. More data pertaining to identifying predictors of response to the different available therapies and head-to-head comparison trials are needed to personalize our therapeutic approach of CD patients.

Comparison of short- and long-term effectiveness between ustekinumab and vedolizumab in patients with Crohn's disease refractory to anti-tumour necrosis factor therapy

BACKGROUND

The best option between vedolizumab and ustekinumab after anti-tumour necrosis factor (TNF) failure remains unclear in Crohn's disease.

AIMS

To compare the short- and long-term effectiveness of vedolizumab and ustekinumab in Crohn's disease patients with prior anti-TNF exposure.

METHODS

All Crohn's disease patients treated with ustekinumab or vedolizumab after exposure to at least one anti-TNF agent were included from two referral centres. Primary endpoint was corticosteroid-free clinical remission defined as Crohn's disease activity index <150 at week 54. Deep remission (corticosteroid-free clinical remission and faecal calprotectin <100 µg/g) was assessed at week 14. Propensity-matched analyses were applied to make the two groups comparable.

RESULTS

Overall, 312 patients (ustekinumab = 224 and vedolizumab = 88) were included. After propensity score analysis, ustekinumab was more effective to achieve corticosteroid-free clinical remission at week 54 (49.3% vs 41.2%, P = 0.04) and deep remission at Week 14 (25.9% vs 3.8%, P = 0.02) than vedolizumab. The rate of primary nonresponders (6.7% vs 14.8%, P = 0.034) and the long-term risk of drug discontinuation due to therapeutic failure (HR = 1.53 [1.04-2.07], P = 0.029) were lower in patients treated with ustekinumab compared with vedolizumab. Predictors of ustekinumab failure were complicated phenotype (odds ratio [OR] = 2.35 [1.31-4.22]; P = 0.004) and anti-TNF primary non-response (OR = 2.55 [1.27-5.12]; P = 0.008). We did not find any predictor of corticosteroid-free clinical remission in patients treated with vedolizumab. Vedolizumab was less effective than ustekinumab in patients >35 years old (OR = 0.41 [0.19-0.87]), with noncomplicated phenotype (OR=0.42 [0.18-0.96]), no prior bowel resection (OR = 0.49 [0.24-0.96]), and no steroids at baseline (OR=0.47 [0.23-0.97]).

CONCLUSION

Ustekinumab was more effective to achieve early and long-term effectiveness than vedolizumab in Crohn's disease patients who previously failed response to anti-TNF agents.

Treatments of inflammatory bowel disease toward personalized medicine

Inflammatory bowel disease (IBD), including ulcerative colitis (UC) and Crohn's disease (CD), is a chronic inflammatory disease characterized by intestinal inflammation and epithelial injury. For the treatment of IBD, 5-aminosalicylic acids, corticosteroids, immunomodulators, and biologic agents targeting tumor necrosis factor (TNF)-α, α4β7-integrin, and interleukin (IL)-12/23 have been widely used. Especially, anti-TNF-α antibodies are the first biologic agents that presently remain at the forefront. However, 10-30% of patients resist biologic agents, including anti-TNF-α agents (primary non-responder; PNR), and 20-50% of primary responders develop treatment resistance within one year (secondary loss of response; SLR). Nonetheless, the etiologies of PNR and SLR are not clearly understood, and predictors of response to biologic agents are also not defined yet. Numerous studies are being performed to discover prediction markers of the response to biologic agents, and this review will introduce currently available therapeutic options for IBD, biologics under investigation, and recent studies exploring various predictive factors related to PNR and SLR.

Clinical experiences and predictors of success of treatment with vedolizumab in IBD patients: a cohort study

BACKGROUND

Vedolizumab has become a standard treatment for the inflammatory bowel diseases ulcerative colitis (UC) and Crohn's disease (CD). However, there is an ongoing debate on the ideal individual treatment algorithms and means to predict treatment response are not routinely established.

AIMS

We aimed to describe our experiences with vedolizumab at a large German tertiary referral center and to identify clinical predictors of success of vedolizumab treatment.

METHODS

We performed a retrospective single-center cohort study employing univariable and multivariable analyses as well as Kaplan-Meier analyses of persistence on treatment.

RESULTS

36% and 35% of the patients with UC and CD, respectively, reached clinical remission after 17 weeks. Patients with lower clinical disease activity were more likely to achieve remission. The median persistence on treatment was 33 months for UC and 29 months for CD.

CONCLUSION

Our study confirms that vedolizumab is an efficient option for the treatment of UC and CD. Clinical parameters of disease activity may help to predict the success of treatment.

Monitoring vedolizumab and ustekinumab drug levels in patients with inflammatory bowel disease: hype or hope?

Therapeutic drug monitoring (TDM) plays a vital role in implementing precision medicine in inflammatory bowel disease (IBD), and may contribute to increased effectiveness, lower rates of drug toxicity and cost savings. While expert panels advocate the use of reactive TDM for anti-tumor necrosis factor (anti-TNF) agents, TDM is not yet widely recommended for non-anti TNF biologicals. We provide an overview of the observational evidence of the value of TDM in case of vedolizumab and ustekinumab. We also shed light on obstacles that need to be addressed before establishing wide acceptance of TDM in the field of IBD. In this respect, new analytical techniques and modelling approaches are being developed to further optimize efficacy of TDM and to facilitate general acceptance of this tool in personalizing IBD management.