Clinical and demographic characteristics predictive of treatment outcomes for certolizumab pegol in moderate to severe Crohn's disease: analyses from the 7-year PRECiSE 3 study

Predictors and optimal management of tumor necrosis factor antagonist nonresponse in inflammatory bowel disease: A literature review

Tumor necrosis factor-α (TNF-α) antagonists, the first biologics approved for treating patients with inflammatory bowel disease (IBD), are effective for the induction and maintenance of remission and significantly improving prognosis. However, up to one-third of treated patients show primary nonresponse (PNR) to anti-TNF-α therapies, and 23%-50% of IBD patients experience loss of response (LOR) to these biologics during subsequent treatment. There is still no recognized predictor for evaluating the efficacy of anti-TNF drugs. This review summarizes the existing predictors of PNR and LOR to anti-TNF in IBD patients. Most predictors remain controversial, and only previous surgical history, disease manifestations, drug concentrations, antidrug antibodies, serum albumin, some biologic markers, and some genetic markers may be potentially predictive. In addition, we also discuss the next steps of treatment for patients with PNR or LOR to TNF antagonists. Therapeutic drug monitoring plays an important role in treatment selection. Dose escalation, combination therapy, switching to a different anti-TNF drug, or switching to a biologic with a different mechanism of action can be selected based on the concentration of the drug and/or antidrug antibodies.

Development and validation of a clinical radiomics nomogram to predict secondary loss of response to infliximab in Crohn's disease patients

Background

Infliximab (IFX) is the first-line treatment for Crohn's disease (CD). However, the secondary loss of response (LOR) is common in IFX therapy. Therefore, non-invasive assessment of LOR in CD patients is the goal pursued by clinicians.

Methods

A multicenter study involving 181 CD patients was conducted, with patients being split into a training cohort (n = 102), testing cohort (n = 45), and validation cohort (n = 34). The study evaluated various clinical factors to establish a clinical model, and a radiomics signature was constructed based on reproducible features from computed tomography enterography (CTE). Logistic regression modeling was used to create models based on the radiomics signature and significant clinical factors, with the receiver operating characteristic curve (ROC) used to compare their performance.

Results

The study found that 64 of the 181 CD patients included experienced secondary LOR. The radiomics signature performed well in predicting secondary LOR, showing good discrimination in the training cohort (AUC [area under the curve], 0.947; 95% confidence interval [CI], 0.910-0.976), the testing cohort (AUC, 0.860; 95% CI, 0.768-0.941), and the validation cohort (AUC, 0.921; 95% CI: 0.831-1.000). Decision curve analysis (DCA) demonstrated the clinical value of the radiomics nomogram.

Conclusions

The CTE-based radiomics model showed good performance in predicting secondary LOR in CD patients. The nomogram can help clinicians choose alternative biologics early for CD patients.

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.

Certolizumab pegol for maintenance of medically induced remission in Crohn's disease

BACKGROUND

Crohn's disease (CD) is a disease with an impaired immune response characterized by chronic, relapsing-remitting, and progressive inflammation mainly affecting the gastrointestinal tract. Certolizumab pegol (CZP) is a biological agent that regulates the impaired immune response by controlling tumour necrosis factor-α (TNFα). However, the efficacy and safety of long-term administration of CZP for people with CD with inflammation under control are not well understood.

OBJECTIVES

To assess the efficacy and safety of CZP for maintenance of remission in people with CD.

SEARCH METHODS

We searched CENTRAL, MEDLINE, Embase, ClinicalTrials.gov, WHO ICTRP, and conference abstracts from inception to 23 March 2022. We contacted pharmaceutical companies involved with the production of CZP for further relevant information.

SELECTION CRITERIA

We included randomized controlled trials (RCTs) comparing CZP with placebo in adults with CD.

DATA COLLECTION AND ANALYSIS

Two review authors independently selected studies and extracted data. The main outcomes were failure to maintain clinical remission at week 26, failure to maintain clinical response at week 26, and serious adverse events. We planned to perform meta-analyses including all available studies if similar enough for pooling to be appropriate and calculated risk ratios (RRs) with 95% confidence intervals (CIs) for dichotomous outcomes and mean differences with 95% CIs for continuous outcomes. We analyzed the number needed to treat for an additional beneficial outcome (NNTB) and the number needed to treat for an additional harmful outcome (NNTH) to indicate the magnitude of treatment effects. The same two review authors independently evaluated the risk of bias by using the Cochrane RoB 2 tool and evaluated the certainty of evidence using the GRADE framework.

MAIN RESULTS

We identified one study meeting our prespecified eligibility criteria. The included study enrolled 428 adults with CD who responded to induction therapy with CZP 400 mg at weeks 0, 2, and 4. The study evaluated long-term efficacy and safety of CZP administered subcutaneously every four weeks compared with placebo. The proportion of participants who failed to maintain clinical remission at week 26 was 52.3% (113/216) in the CZP group compared to 71.7% (152/212) in the placebo group. Treatment of CZP probably results in a large reduction in failure to maintain clinical remission at week 26 (RR 0.73, 95% CI 0.63 to 0.85). The NNTB was 5 (95% CI 4 to 9). We judged this outcome at low risk of bias. Using the GRADE assessment, we judged the certainty of evidence as moderate due to the low number of events occurred. The proportion of participants who failed to maintain clinical response at week 26 was 37.5% (81/216) in the CZP group compared to 64.2% (136/212) in the placebo group. Treatment of CZP probably results in a large reduction in failure to maintain clinical response at week 26 (RR 0.58, 95% CI 0.48 to 0.71). The NNTB was 4 (95% CI 3 to 5). We judged this outcome at low risk of bias. Using the GRADE assessment, we judged the certainty of evidence as moderate due to the low number of events occurred. The proportion of participants who developed serious adverse events was 5.6% (12/216) in the CZP group compared to 6.6% (14/212) in the placebo group. Treatment of CZP may lead to no difference in serious adverse events compared to placebo when used as a remission maintenance treatment (RR 0.84, 95% CI 0.40 to 1.78). The NNTB was 95 (95% CI NNTH 19 to NNTB 25). We evaluated the risk of bias for this outcome as low. We evaluated the certainty of evidence as low due to the low number of events occurred and the CIs were not sufficiently narrow.

AUTHORS' CONCLUSIONS

CZP probably results in a large reduction in failure to maintain clinical remission and response at week 26 in people with CD. The evidence suggests that CZP may lead to no difference in serious adverse events compared to placebo when used as a remission maintenance treatment. However, the current studies are limited to 26 weeks of follow-up and only included adults. Therefore, these conclusions cannot be used to guide longer term treatment or for treatment in children at present.

A Clinical Prediction Model to Determine Probability of Response to Certolizumab Pegol for Crohn's Disease

BACKGROUND

Certolizumab pegol (CZP) is effective for moderately to severely active Crohn's disease (CD). Higher plasma concentrations are associated with better outcomes and increased drug clearance is the driver of subtherapeutic CZP concentrations.

OBJECTIVE

We aimed to develop a prediction model incorporating predicted CZP clearance and patient variables to allow estimation of the probability for remission prior to initiating therapy.

METHODS

A population pharmacokinetic model estimated baseline CZP clearance in patients with CD from nine phase II and III trials. Multivariable prediction models were developed and validated using the PRECiSE 1 and PRECiSE 2 datasets to identify candidate predictors for a composite remission outcome (Crohn's Disease Activity Index ≤ 150 and fecal calprotectin concentration ≤ 250 μg/g) at Weeks 6 or 26. An online clinical decision support tool (CDST) was developed.

RESULTS

Baseline predicted CZP clearance ≥ 0.5 L/day was associated with subtherapeutic Week 6 CZP plasma concentrations. Baseline weight (odds ratio [OR] 1.04; 95% confidence interval [CI] 1.02-1.07), calculated CZP clearance (OR 0.92; 95% CI 0.87-0.96), hematocrit (OR 2.55; 95% CI 1.43-4.54), and fecal calprotectin (OR 0.66; 95% CI 0.54-0.80) were associated with Week 6 remission (p ≤ 0.0015 for all predictors). Baseline weight (OR 1.04; 95% CI 1.02-1.07), calculated CZP clearance (OR 0.93; 95% CI 0.88-0.97), and Patient-Reported Outcome-2 (PRO2) (OR 0.93; 95% CI 0.87-0.99) were associated with Week 26 remission (p ≤ 0.033 for all predictors).

CONCLUSIONS

Patients who are predicted to have accelerated baseline CZP clearance are at risk of subtherapeutic CZP concentrations. Patient-level probabilities for a composite remission outcome can be predicted for patients with CD by entering commonly available patient- and disease-related factors into an online CDST ( https://premedibd.com ) incorporating predicted CZP clearance.

Development and Validation of a Clinical Decision Support Tool That Incorporates Pharmacokinetic Data to Predict Endoscopic Healing in Patients Treated With Infliximab

BACKGROUND & AIMS

Infliximab is an effective treatment for moderate to severe ulcerative colitis (UC). Little is known about patient-related factors that might be used to predict endoscopic healing with infliximab therapy.

METHODS

We analyzed data from 484 patients included in the randomized trials of the effects of infliximab therapy for patients with UC (Active Ulcerative Colitis Trials [ACT]-1 and ACT-2). We used a 2-compartment population pharmacokinetic model to calculate baseline infliximab clearance. Two multivariable regression models were derived and validated for their ability to identify patients with endoscopic healing (Mayo endoscopic score, ≤1) at weeks 8 and 30, using only baseline variables. We developed a clinical decision support tool (CDST) and calculator to determine the probability of endoscopic healing in patients starting infliximab.

RESULTS

Higher baseline infliximab clearance, stool frequency, and rectal bleeding scores were associated negatively with endoscopic healing at week 8. In the validation set, a CDST score of 9 points or fewer identified patients without endoscopic healing at week 8 with 82% sensitivity (95% CI, 76%-88%), whereas a CDST score of 16 points or more identified patients with endoscopic healing at week 8 with 87% specificity (95% CI, 81%-94%). Higher baseline infliximab clearance, stool frequency score, white blood cell count, and lower body weight were associated negatively with endoscopic healing at week 30. In the validation set, CDST scores of 17 points or fewer identified patients without endoscopic healing at week 30 with 90% sensitivity (95% CI, 85%-95%), whereas scores greater than 22 points identified patients with endoscopic healing at week 30 with 80% specificity (95% CI, 73%-87%). External validation models had a modest predictive value, with an area under of the curve of 0.67 (95% CI, 0.61-0.74). Patient-level probabilities of endoscopic healing at weeks 8 or 30 can be calculated online (www.premedibd.com).

CONCLUSIONS

Using data from 2 clinical trials of patients receiving infliximab therapy for UC, we developed and validated the CDST, which uses data on infliximab clearance and baseline patient and disease measures to identify patients most likely to have endoscopic healing. This tool will facilitate therapy decision making and precision medicine.

Review article: how the intestinal microbiota may reflect disease activity and influence therapeutic outcome in inflammatory bowel disease

BACKGROUND

Intestinal bacteria produce metabolites and by-products necessary for homeostasis. Imbalance in this equilibrium is linked to multiple pathologies including inflammatory bowel disease (IBD). The role of the gut microbiota in determining treatment response is becoming apparent, and may act as biomarker for efficacy.

AIM

To describe knowledge about the intestinal microbiota on disease severity and treatment outcomes in IBD METHODS: Descriptive review using PubMed to identify literature on the intestinal microbiota in IBD RESULTS: Severe IBD has a less diverse microbiota with fewer commensal microbiota communities and more opportunistic pathogenic bacteria originating from the oral cavity or respiratory tract. IBD treatments can alter gut microbiota composition, but in vitro/in vivo studies are needed to prove causation. A diversification of the microbiota is observed during remission. Patients with a more diverse baseline microbiome and higher microbial diversity show better response to anti-tumour necrosis factor-α, vedolizumab and ustekinumab therapy. Higher abundance of short chain fatty acid-producing bacteria, fewer mucus-colonising bacteria and lower abundance of pro-inflammatory bacteria have also been associated with a favourable outcome. Predictive models, based on a combination of microbiota, clinical data and serological markers, have good accuracy for treatment outcome and disease severity.

CONCLUSION

The intestinal microbiota in IBD carries a set of promising biomarkers of disease activity and prediction of therapeutic outcome. Current insights may also help in designing microbiota modulation strategies to improve outcomes in IBD.

Predictors of Primary Response to Biologic Treatment [Anti-TNF, Vedolizumab, and Ustekinumab] in Patients With Inflammatory Bowel Disease: From Basic Science to Clinical Practice

BACKGROUND

Inflammatory bowel diseases [IBD]-ulcerative colitis and Crohn's disease-are commonly treated with biologic drugs. However, only approximately two-thirds of patients have an initial response to these therapies. Personalised medicine has the potential to optimise efficacy, decrease the risk of adverse drug events, and reduce costs by establishing the most suitable therapy for a selected patient.

AIM

The present study reviews the potential predictors of short-term primary response to biologic treatment, including not only anti-tumour necrosis factor [TNF] agents [such as infliximab, adalimumab, certolizumab, and golimumab] but also vedolizumab and ustekinumab.

METHODS

We performed a systematic bibliographical search to identify studies investigating predictive factors of response to biologic therapy.

RESULTS

For anti-TNF agents, most of the evaluated factors have not demonstrated usefulness, and many others are still controversial. Thus, only a few factors may have a potential role in the prediction of the response, including disease behaviour/phenotype, disease severity, C-reactive protein, albumin, cytokine expression in serum, previous anti-TNF therapy, some proteomic markers, and some colorectal mucosa markers. For vedolizumab, the availability of useful predictive markers seems to be even lower, with only some factors showing a limited value, such as the expression of α4β7 integrin in blood, the faecal microbiota, some proteomic markers, and some colorectal mucosa markers. Finally, in the case of ustekinumab, no predictive factor has been reported yet to be helpful in clinical practice.

CONCLUSION

In summary, currently no single marker fulfils all criteria for being an appropriate prognostic indicator of response to any biologic treatment in IBD.

The Future of Biosimilars: Maximizing Benefits Across Immune-Mediated Inflammatory Diseases

Biologics have transformed the treatment of immune-mediated inflammatory diseases such as rheumatoid arthritis (RA) and inflammatory bowel disease (IBD). Biosimilars-biologic medicines with no clinically meaningful differences in safety or efficacy from licensed originators-can stimulate market competition and have the potential to expand patient access to biologics within the parameters of treatment recommendations. However, maximizing the benefits of biosimilars requires cooperation between multiple stakeholders. Regulators and developers should collaborate to ensure biosimilars reach patients rapidly without compromising stringent quality, safety, or efficacy standards. Pharmacoeconomic evaluations and payer policies should be updated following biosimilar market entry, minimizing the risk of imposing nonmedical barriers to biologic treatment. In RA, disparities between treatment guidelines and national reimbursement criteria could be addressed to ensure more uniform patient access to biologics and enable rheumatologists to effectively implement treat-to-target strategies. In IBD, the cost-effectiveness of biologic treatment earlier in the disease course is likely to improve when biosimilars are incorporated into pharmacoeconomic analyses. Patient understanding of biosimilars is crucial for treatment success and avoiding nocebo effects. Full understanding of biosimilars by physicians and carefully considered communication strategies can help support patients initiating or switching to biosimilars. Developers must operate efficiently to be sustainable, without undermining product quality, the reliability of the supply chain, or pharmacovigilance. Developers should also facilitate information sharing to meet the needs of other stakeholders. Such collaboration will help to ensure a sustainable future for both the biosimilar market and healthcare systems, supporting the availability of effective treatments for patients.

Efficacy and Safety of Adalimumab by Disease Duration: Analysis of Pooled Data From Crohn's Disease Studies

BACKGROUND AND AIMS

Analyses of Crohn's Disease [CD] studies of anti-TNF agents, including adalimumab, have reported higher remission rates among patients with shorter disease duration. To further explore the relationship between disease duration and clinical efficacy, we analysed a larger patient cohort.

METHODS

Data were pooled from 10 clinical trials in patients with moderately to severely active CD who received treatment with either adalimumab or placebo. Analyses of efficacy using Crohn's Disease Activity Index [CDAI] endpoints [remission, clinical response [CR]-70, CR-100, patient-reported outcome [PRO] remission] or Harvey-Bradshaw Index [HBI] endpoints [remission/response] were conducted for induction and maintenance treatment periods. Logistic regression was used for comparisons between adalimumab and placebo treatment. Cochran-Armitage trend tests were used for comparisons between disease-duration subgroups [<1 year, ≥1-<2 years, 2-≤5 years, and >5 years].

RESULTS

During induction, the proportion of patients achieving CDAI remission was higher in adalimumab- versus placebo-treated patients [p <0.001] and was highest [adalimumab: 45.8%] in the <1 year subgroup compared with longer disease-duration subgroups [≥1-<2 years: 31.0%; 2-≤5 years: 23.1%; >5 years: 23.6%, Cochran-Armitage p = 0.026]. In the majority of maintenance treatment analyses, patients with <1 year disease duration had the highest efficacy responses, with statistically significant differences in remission rates across disease-duration subgroups.

CONCLUSIONS

This analysis demonstrates that earlier initiation of adalimumab treatment shortly after diagnosis in patients with moderately to severely active CD leads to improved long-term clinical outcomes.

Endoscopic response to tumor necrosis factor inhibitors predicts long term benefits in Crohn’s disease

BACKGROUND

Identifying predictors of therapeutic response is the cornerstone of personalized medicine.

AIM

To identify predictors of long-term mucosal healing (MH) in patients with Crohn’s disease (CD) treated with tumor necrosis factor α (TNF-α) inhibitors.

METHODS

Prospective single center study. Consecutive patients with clinically active CD requiring treatment with a TNF-α inhibitor were included. A baseline segmental CD Endoscopic Index of Severity (CDEIS) ≥ 10 in at least one segment or the presence of ulcerations were required for inclusion. Clinical, biological and endoscopic data were obtained at baseline, weeks 14 and 46. Endoscopic response (ER) was defined as a decrease ≥ 50% from baseline CDEIS and MH as partial CDEIS ≤ 5 in all segments.

RESULTS

Of 62 patients were included. At baseline, median CD Activity Index and CDEIS were 201 and 6.7, respectively with a significant reduction after one year of treatment (53 and 3.0 respectively, P < 0.001). At week 14, 56% of patients achieved ER and 34% MH. At week 46, the corresponding percentages were 52% and 44%. Baseline disease characteristics or biomarkers did not predict MH. A decrease from baseline CDEIS at week 14 of at least 80% was the best predictor of MH at week 46 (59% sensitivity and 91% specificity; area under the curve = 0.778).

CONCLUSION

Clinical and biomarker data are not useful predictors of response to TNF-α inhibitors in CD, whereas ER to induction therapy, defined as 80% reduction in global CDEIS, is a robust predictor of long-term MH. Achievement of this endoscopic endpoint may be considered as a therapeutic target for anti-TNF-α therapy.

Accounting for Pharmacokinetic Variability of Certolizumab Pegol in Patients with Crohn's Disease

BACKGROUND

Certolizumab pegol is an effective biologic for patients with Crohn's disease (CD). Individual differences in certolizumab pegol apparent clearance (CL/F) affect exposure and possibly efficacy. A previously developed population pharmacokinetic (PK) model did not account for dynamic changes in clinical parameters during therapy.

OBJECTIVE

The aim of this study was to refine the existing PK model to capture the time-varying influence of covariates.

METHODS

Data collected from 2157 Crohn's disease patients in nine studies were analyzed using nonlinear mixed-effects modeling software (NONMEM). Certolizumab pegol concentration-time data were described by a one-compartment PK model with first-order absorption, and one-compartment disposition with linear, time-dependent elimination using antidrug antibody (ADAb) concentration as a continuous variable.

RESULTS

The final dataset consisted of 12,926 analyzable records. Parameter estimates were absorption rate constant 1.83/day, CL/F 0.527 L/day, and apparent volume of distribution (V/F) 8.33 L. ADAb concentration (2.5-214 units/mL) increased the median CL/F by 142-174%. For a typical patient, body weight (46.8-100.5 kg) increased the median CL/F and V/F from 82 to 120%. Albumin (32-48 g/L) decreased and C-reactive protein (0.5-54.0 mg/L) increased the median CL/F from 123 to 85% and from 83 to 113%, respectively. Between-patient variability of CL/F was 19.6%.

CONCLUSIONS

By incorporating time-varying covariates, this population PK model reduces between-patient variability on CL/F estimates, and the relative influence of ADAb can now be assessed. As Crohn's disease patient covariates are often time-dependent, this model is more reflective of patient drug exposure with sustained treatment.

Challenges in Using Real-world Clinical Practice Records for Validation of Clinical Trial Data in Inflammatory Bowel Disease: Lessons Learned

Electronic medical records (EMRs) have gained widespread use in clinical practice and by default serve as a large patient database with potential for use in clinical research. Although there remains significant interest in leveraging EMRs for research purposes, extraction of data has proven to be complex and with insufficient accuracy. We describe the limitations of an EMR in our attempt to conduct a seemingly simple study aimed at validating variables identified in the PRECiSE 3, a 7-year open label safety and efficacy study of certolizumab pegol in Crohn's disease that identified clinical factors that predicted both short- and long-term efficacy. A multicenter, retrospective cohort study from 8 academic and large community practices was performed, and data were collected from each respective EMR. Significant challenges with reliable capture of key data elements were encountered, and overall a screen fail rate of 91.8% across all sites was seen. We describe these challenges and potential future directions to work together to advance accuracy and implementation of the use of EMRs in inflammatory bowel disease.

The body composition profile is associated with response to anti-TNF therapy in Crohn's disease and may offer an alternative dosing paradigm

BACKGROUND

Anti-tumour necrosis factor (TNF)s form a major part of therapy in Crohn's disease and have a primary nonresponse rate of 10%-30% and a secondary loss of response rate of 5% per year. Myopenia is prevalent in Crohn's disease and is measured using body composition analysis tools.

AIM

To test the hypothesis that body composition can predict outcomes of anti-TNF primary nonresponse and secondary loss of response.

METHODS

Between January 2007 and June 2012, 106 anti-TNF naïve patients underwent anti-TNF therapy for Crohn's disease with body composition parameters analysed using CT scans to estimate body fat-free mass. The outcome measures were primary nonresponse and secondary loss of response. COX-regression analysis was used with 3 year follow-up data.

RESULTS

A total of 106 patients were included for analysis with 26 (24.5%) primary nonresponders and 29 (27.4%) with secondary loss of response to anti-TNF therapy. Sex-specific cut-offs for muscle and fat were ascertained by stratification analysis. On univariate analysis, primary nonresponse was associated with low albumin (OR 0.94; 0.88-0.99, P = .04) and presence of myopenia (OR 4.69; 1.83-12.01, P = .001) when taking into account patient's medical therapy, severity of disease and body composition. On multivariate analysis, presence of myopenia was associated with primary nonresponse (OR 2.93; 1.28-6.71, P = .01). Immunomodulator therapy was associated with decreased secondary loss of response (OR 0.48; 0.23-0.98, P = .04). BMI was poorly correlated with lean body mass (r² = 0.15, P = .54).

CONCLUSIONS

In this cohort study, body composition profiles did not correlate well with BMI. Myopenia was associated with primary nonresponse with potential implications for dosing and serves as an explanation for pharmacokinetic failure.

Time to clinical response and remission for therapeutics in inflammatory bowel diseases: What should the clinician expect, what should patients be told?

An awareness of the expected time for therapies to induce symptomatic improvement and remission is necessary for determining the timing of follow-up, disease (re)assessment, and the duration to persist with therapies, yet this is seldom reported as an outcome in clinical trials. In this review, we explore the time to clinical response and remission of current therapies for inflammatory bowel disease (IBD) as well as medication, patient and disease related factors that may influence the time to clinical response. It appears that the time to therapeutic response varies depending on the indication for therapy (Crohn's disease or ulcerative colitis). Agents with the most rapid time to clinical response included corticosteroids, calcineurin inhibitors, exclusive enteral nutrition, aminosalicylates and anti-tumor necrosis factor therapy which will work in most patients within the first 2 mo. Vedolizumab, methotrexate and thiopurines had a longer time to clinical response and can take several months to achieve maximal efficacy. Factors affecting the time to clinical response of therapies included use of concomitant therapy, disease duration, smoking status, disease phenotype and advanced age. There appears to be marked variation in time to clinical response for therapies used in IBD which is further influenced by disease and patient related factors. Understanding the expected time to therapeutic response is integral to inform further decision making, maintain a patient-centered approach and ensure treatment is given an appropriate timeframe to achieve maximal benefit prior to cessation.

Early remission status predicts long-term outcomes in patients with Crohn's disease treated with certolizumab pegol

BACKGROUND

In Crohn's disease (CD), rapid response to anti-tumor necrosis factor therapy improves short- and medium-term outcomes, but the relationship between early remission (ER) and long-term remission is unclear.

AIMS

This exploratory analysis of PRECiSE 3 (NCT00160524) assessed whether ER after initiation of certolizumab pegol predicted long-term remission.

METHODS

Patients enrolled in PRECiSE 3 had completed PRECiSE 1 or 2, two randomized placebo-controlled studies for moderate to severe CD, and received open-label certolizumab pegol 400 mg every 4 weeks for a total treatment duration of ≤7.5 years. Time to loss of remission between patients with and without ER (Harvey-Bradshaw Index ≤4 at or before Week 6 of PRECiSE 1 or 2) was compared by log-rank test of Kaplan-Meier estimates.

RESULTS

At baseline, patients with (n = 242) and without (n = 148) ER had mean (standard deviation [SD]) durations of CD of 6.8 (6.6) and 7.4 (7.8) years, mean (SD) CD Activity Index scores of 280.3 (53.4) and 311.1 (55.5), with 45.5% and 41.9% of patients having ileocolonic CD, and median C-reactive protein concentrations of 8.0 and 5.0 mg/L, respectively. Median certolizumab pegol plasma concentrations during the first 6 weeks of therapy were similar in both groups. Mean time to loss of remission was significantly longer in patients with versus without ER (2.77 vs. 1.14 years, p < 0.0001).

CONCLUSIONS

In certolizumab pegol-treated patients with CD, ER appears to be an important predictor of long-term clinical remission. Prospective trials are needed to determine whether ER improves other long-term outcomes.

Ultrasonographic Changes at 12 Weeks of Anti-TNF Drugs Predict 1-year Sonographic Response and Clinical Outcome in Crohn's Disease: A Multicenter Study

BACKGROUND

The objective was to assess the long-term effect of biological treatment on transmural lesions of Crohn's disease evaluated with ultrasound, including contrast-enhanced ultrasound.

METHODS

Fifty-one patients with active Crohn's disease were included in a prospective multicenter longitudinal study. All patients underwent a clinical assessment and sonographic examination at baseline, 12 weeks after treatment initiation, and after 1-year of treatment. Patients were clinically followed at least 2 years from inclusion until the end of the study. Ultrasonographic evaluation included bowel wall thickness, color Doppler grade, parietal enhancement, and presence of transmural complications or stenosis. Sonographic changes after treatment were classified as normalization, improvement, or lack of response.

RESULTS

Improvement at 52 weeks was more frequent in patients with improvement at final of induction (12 weeks) compared with patients who did not improve (85% versus 28%; P < 0.0001). One-year sonographic evolution correlated with clinical response; 28 of the 29 (96.5%) patients with sonographic improvement at 52 weeks showed clinical remission or response. Patients without sonographic improvement at 52 weeks of treatment were more likely to have a change or intensification in medication or surgery (13/20, 65%) during the next year of follow-up than patients with improvement on the sonography (3/28, 11%). Stricturing behavior was the only sonographic feature associated to a negative predictive value of response (P = 0.0001).

CONCLUSIONS

Sonographic response after 12 weeks of therapy is more pronounced and predicts 1-year sonographic response. Sonographic response at 1-year examination correlates with 1-year clinical response and is a predictor of further treatment's efficacy, 1-year or longer period of follow-up.

Emerging therapeutic targets and strategies in Crohn's disease

Crohn's disease (CD) is an immune-mediated inflammatory bowel disease, in which inflammation is driven by a complex interaction between the microbiota, immune cells, genes and mediators. New mechanisms of action and several cytokines have been identified as factors involved in the inflammatory process in CD, and many new molecules have been developed to treat this complex disease. New agents have been developed that target leukocyte trafficking, block or adhesion molecules for example, as well as the development of antibodies against classic inflammatory cytokines or therapies directed against IL-12/23 and Janus kinases. The development of selective mechanisms of action and targeting of different cytokines or inflammatory mediators for each patient presents the biggest challenge for the future in CD therapy. Such agents are currently at different phases of development. We aim to review the current literature data on a targeted approach in CD, which could be promising alternative approach for CD patients in the near future.

Systematic review: predicting and optimising response to anti-TNF therapy in Crohn's disease - algorithm for practical management

BACKGROUND

Nonresponse and loss of response to anti-TNF therapies in Crohn's disease represent significant clinical problems for which clear management guidelines are lacking.

AIM

To review the incidence, mechanisms and predictors of primary nonresponse and secondary loss of response to formulate practical clinical algorithms to guide management.

METHODS

Through a systematic literature review, 503 articles were identified which fit the inclusion criteria.

RESULTS

Primary nonresponse to anti-TNF treatment affects 13-40% of patients. Secondary loss of response to anti-TNF occurs in 23-46% of patients when determined according to dose intensification, and 5-13% of patients when gauged by drug discontinuation rates. Recent evidence suggests that the mechanisms underlying primary nonresponse and secondary loss of response are multifactorial and include disease characteristics (phenotype, location, severity); drug (pharmacokinetic, pharmacodynamic or immunogenicity) and treatment strategy (dosing regimen) related factors. Clinical algorithms that employ therapeutic drug monitoring (using anti-TNF tough levels and anti-drug antibody levels) may be used to determine the underlying cause of primary nonresponse and secondary loss of response respectively and guide clinicians as to which patients are most likely to respond to anti-TNF therapy and help optimise drug therapy for those who are losing response to anti-TNF therapy.

CONCLUSIONS

Nonresponse or loss of response to anti-TNF occurs commonly in Crohn's disease. Clinical algorithms utilising therapeutic drug monitoring may establish the mechanisms for treatment failure and help guide the subsequent therapeutic approach.

New Applications for Traditional Drugs in Inflammatory Bowel Disease: What Do Cochrane Reviews Tell Us?

Although multiple innovative treatments of inflammatory bowel disease have become available, research continues to refine the value of existing drug therapies for Crohn's disease and ulcerative colitis. What can Cochrane reviews tell us about evolving applications for traditional agents in inflammatory bowel disease? A Cochrane Collaboration symposium held at the 2014 Digestive Diseases Week annual meeting addressed this question. This article reviews the data presented at that session.