Literature DB >> 33089483

Association Between Vedolizumab Levels, Anti-vedolizumab Antibodies, and Endoscopic Healing Index in a Large Population of Patients with Inflammatory Bowel Diseases.

Andres J Yarur1, Parakkal Deepak2, Niels Vande Casteele3, Robert Battat4, Anjali Jain5, Lauren Okada5, Mark Osterman6, Miguel Regueiro7.   

Abstract

BACKGROUND: The aim of this study was to assess the relationship between serum vedolizumab (VDZ) concentrations and antibodies to VDZ (ATV) in a large cohort of patients with inflammatory bowel diseases. Furthermore, we evaluated the association between serum VDZ concentrations and a novel serum-based biomarker panel designated as the endoscopic healing index (EHI), developed and validated for identifying mucosal inflammation in patients with Crohn's disease (CD).
METHODS: Retrospective study where results from patient samples submitted to a commercial clinical laboratory were included. Serum VDZ and ATV levels were analyzed using a drug-tolerant assay. In CD patients for whom both VDZ and EHI were available, VDZ concentrations were correlated with EHI. serum VDZ threshold analysis was performed using ROC curves, and the serum VDZ concentrations that best differentiated EHI < 20 (previously associated with endoscopic remission) were chosen.
RESULTS: A total of 9356 patients were included in the VDZ/ATV analysis. Detectable ATV was observed in 2.9% patients with significantly lower serum VDZ concentrations when compared to those with undetectable ATV [3.9 µg/mL (0-9.0) vs. 11.3 µg/mL (5.9-20.6), p < 0.0001]. Of the patients with serum VDZ result, 287 patients had a concomitant EHI test. An inverse correlation was observed between VDZ concentration and EHI (rho = - 0.20, p < 0.001). A serum VDZ concentration ≥ 15.7 µg/ml was best correlated wi th an EHI < 20 [AUROC: 0.67 (95% CI 0.57-0.77)].
CONCLUSIONS: Incidence of ATVs was low, but significantly associated with lower VDZ levels. A serum VDZ concentration threshold of ≥ 15.7 µg/ml was associated with endoscopic remission as defined by an EHI < 20.
© 2020. The Author(s).

Entities:  

Keywords:  Anti-vedolizumab antibodies; Crohn’s disease; Endoscopic healing index; Inflammatory bowel diseases; Ulcerative colitis; Vedolizumab levels

Mesh:

Substances:

Year:  2020        PMID: 33089483      PMCID: PMC8449757          DOI: 10.1007/s10620-020-06669-6

Source DB:  PubMed          Journal:  Dig Dis Sci        ISSN: 0163-2116            Impact factor:   3.199


Background

Vedolizumab (VDZ) is a humanized immunoglobulin G1 monoclonal antibody to α4β7 integrin that modulates intestinal, but not brain, lymphocyte trafficking. The drug is more effective than placebo in the induction and maintenance of remission in patients with ulcerative colitis (UC) and Crohn´s disease (CD) [1, 2] As with other biologics for inflammatory bowel diseases (IBD), patients can lose response after experiencing a benefit (secondary non-response), while others never respond (primary non-response). Previous experience with anti-tumor necrosis factor (TNF) drugs has shown that primary and secondary non-response may be associated with low drug levels and/or the presence of anti-drug antibodies [3-5]. As new monoclonal antibodies become available, therapeutic drug monitoring (TDM) may yield insight into loss of response and biologic optimization. Observational studies exploring associations between VDZ pharmacokinetics and efficacy have been conflicting. Most have shown that early (week 6) VDZ levels correlate with clinical and endoscopic outcomes [6-8]. All studies have demonstrated a low prevalence of anti-VDZ antibodies (ATV), especially when compared to anti-tumor necrosis factor (TNF) agents [6, 8]. The low VDZ immunogenicity rates and small sample sizes have precluded meaningful exploration of ATV on VDZ pharmacokinetics and efficacy. Treat-to-target has emerged as an important treatment strategy in IBD patients. The primary outcome of this approach is objective improvement of gastrointestinal inflammation that is not reliant on the subjective nature of symptom-based treatment alone [9]. The gold standard target for inflammation improvement has been endoscopic mucosal healing, which has also been associated with better long-term outcomes [10]. Endoscopic evaluation is invasive and not practical to repeat frequently in a short period of time, limiting its use. Hence, there is a need for non-invasive biomarkers of intestinal inflammation. Recently, a 13-biomarker panel assay in serum was developed and validated as an adjunct biomarker of endoscopic disease activity in patients with CD [11]. Endoscopic healing index (EHI) demonstrated better sensitivity/specificity than serum C-reactive protein (CRP) and equivalent sensitivity/specificity to fecal calprotectin (FC) (Monitr™; Prometheus Biosciences, San Diego, CA, USA) [11]. Even though previous studies have shown an inverse correlation between biologic drug levels and both CRP and FC, the association between VDZ levels and the EHI is unknown. The current study had two specific aims. The first was to assess the prevalence of ATV in a large real-world IBD population and investigate the association with serum VDZ drug levels. The second was to perform an exposure–response analysis correlating VDZ drug levels and ATV with the EHI test in CD patients.

Materials and Methods

Study Design and Setting

This was a retrospective study using data from a commercial clinical laboratory (Prometheus Biosciences) accredited by the American College of Pathologists. Patients were included if a VDZ/ATV test was performed as part of the commercial laboratory testing and if they ever reported a diagnosis of inflammatory bowel disease as per ICD codes (Table 1). In the sub-group analysis comparing UC and CD patients, those patients with discordant diagnostic codes were not used. For the second part of the analysis on EHI and VDZ/ATV, a sub-group of patients was identified that excluded a diagnosis of UC and had a concomitant EHI measurement.
Table 1

Baseline characteristics of the study population

Anser® VDZMonitr™ + Anser VDZ (sub-cohort)
Number of patients9356287
Number of Anser® VDZ samples12,595287
Female gender (%)5205 (55.6)168 (58.5)
Diagnosis of Crohn’s disease (ICD codes: 555., K50.) (%)5059 (54.1)a282 (98.3)
Diagnosis of ulcerative colitis (ICD codes: 556., K51.] (%)4648 (49.7)b0 (0)
Diagnosis of indeterminate colitis (ICD codes: 558.9, K52.3) (%)135 (1.4)c0 (0)
Diagnosis of pouchitis (ICD codes: 569.7, K91.85) (%)47 (0.5)d0 (0)
Age, entire cohort (median in years) (IQR)42 (28–58)48 (36–62)
Patients < 18 years (%)614 (6.6)11 (3.8)
Median age, patients < 18 years (median in years) (IQR)15 (12–16)16 (13–17)

a4,614/5059 (91.2%) patients had only CD ICD codes while the remaining 445 patients had overlapping ICD codes for UC, IC, and/or pouchitis

bOf the 4648 patients with UC ICD codes, 4190 patients (90.1%) only had UC codes

cOnly 36/135 (26.7%)

d11/47 (23.4%) patients were unique for IC or pouchitis codes, respectively; overall, 8851/9356 (94.6%) patients had a unique ICD code

Baseline characteristics of the study population a4,614/5059 (91.2%) patients had only CD ICD codes while the remaining 445 patients had overlapping ICD codes for UC, IC, and/or pouchitis bOf the 4648 patients with UC ICD codes, 4190 patients (90.1%) only had UC codes cOnly 36/135 (26.7%) d11/47 (23.4%) patients were unique for IC or pouchitis codes, respectively; overall, 8851/9356 (94.6%) patients had a unique ICD code

Evaluations and Input Data

Available patient data included age, gender, and the ICD code-based diagnosis (CD, UC, indeterminate colitis, or pouchitis). All samples had serum measurements of VDZ and ATV levels. The sub-cohort that had a concomitant EHI measurement was analyzed separately [11].

Measurement of Vedolizumab Levels and Anti-vedolizumab Antibodies

All patient samples were analyzed for standard of clinical care. VDZ concentrations were measured using a validated drug-tolerant assay specific for VDZ that utilized the previously described homogeneous mobility shift assay (HMSA) methodology [12]. The lower limits of quantitation for VDZ and ATV were 1.6 µg/mL and 1.6 U/mL, respectively, while the upper limits were 40 µg/mL and 75 U/mL, respectively. VDZ concentrations of 15 µg/mL were found to have the best sensitivity/specificity in previous studies using HMSA, demonstrating this threshold to be associated with clinical remission [13].

Endoscopic Healing Index

Patients who had concomitant VDZ levels and EHI values within 30 days of each other and excluded a diagnosis of UC were included in a sub-analysis VDZ-EHI cohort. The test was developed as previously described [11]. The EHI scores range from 0 to 100 units, where higher scores denote a higher burden of CD endoscopic activity. The test was validated in two independent CD cohorts with high diagnostic accuracy. A serum EHI cutoff value of < 20 points identified patients in endoscopic remission with a high level of sensitivity in various patient populations (83.2–97.1%), and specificities of 36.6–69.0%, respectively. A cutoff value of > 50 points identified patients with endoscopic active disease with a high specificity (87.8–100%), with sensitivities of 30–37%. Because of the high sensitivity, in this study, we considered endoscopic remission as an EHI < 20, while an EHI > 50 was considered as endoscopic active disease.

Statistical Analysis

Descriptive statistics were used to examine the baseline characteristics of the study population. Continuous variables were compared using the Mann–Whitney U test or Kruskal–Wallis test with post hoc Dunn’s test (for nonparametric variables). Patient level analysis used the first available sample or the first available ATV-positive sample for the analysis. The χ2 test was used to evaluate distributions of categorical variables. Correlation between serum VDZ concentrations and other continuous variables were performed using Spearman’s rank correlation test. Receiver operating characteristic (ROC) curves were evaluated to identify VDZ concentration thresholds with the best sensitivity/specificity (Youden’s index) associated with an EHI < 20. A p value < 0.05 was considered statistically significant. Analysis was carried out using R v.3.6.2.

Results

Patient Characteristics

Within the CLIA dataset, 9356 unique patients were identified who provided serum samples for VDZ assay measurement between October 2016 (test launch date) and August 31, 2019, and were included in the analysis. The median age was 42 years (IQR: 28–58), 5205 (55.6%) were women, and 6.6% were pediatric patients (less than 18 years). The baseline characteristics of the study population are shown in Table 1. Among the patients included in the study cohort, all patients had a diagnosis of inflammatory bowel disease based on ICD codes: 5059 (54.1%) had a diagnosis of CD [555.* (ICD-9) and K50.* (ICD-10)], 4648 (49.7%) had a diagnosis of UC [556.* (ICD-9) and K51.* (ICD-10)], 135 (1.4%) had indeterminate colitis [558.9 (ICD-9), K52.3 (ICD-10)], and 47 (0.5%) had pouchitis [569.7* (ICD-9) and K91.85* (ICD-10)]. There were 505 patients had overlapping ICD codes. We identified 12,595 samples from the 9356 patients who were included in the study. Longitudinal samples were available for 2161 (23.1%) patients, of whom 70.6% (1526/2161) had 2 samples. The median number of tests carried out per patient was 1 (range: 1–25) with 99.9% of the patients with a range of 1–7 tests.

Vedolizumab Levels and Anti-vedolizumab Antibodies

The median VDZ serum level in the per sample analysis was 12 µg/mL (IQR: 6.4–22.1 µg/mL). Thirty-seven percent of patients (3470) had VDZ levels ≥ 15 µg/mL at presentation when the first specimen was analyzed. VDZ levels were significantly higher among the pediatric study population (< 18 years) when compared to adults [3.6 µg/mL (6.4–25.6) vs. 11 µg/mL (5.6–20), p < 0.0001]. Of the entire patient population, 274 patients had detectable ATV (2.9%) in one or more of the available tests per patient, while the percentage of per sample detectable ATV was 2.4% (303 of 12,595 samples). A total of 201 samples from 184 patients (2%) had both detectable VDZ levels and ATV. The rate of detectable ATV was not significantly higher in the adult versus the pediatric population [OR 1.1 (95% CI 0.62–1.75), p = 0.7]. We performed a per-patient analysis using the first available sample for those patients who never presented with detectable ATV (n = 9082) and compared it to those patients using the first ATV-positive sample where ATV was detected in at least one sample (n = 274). The median VDZ concentration in patients who never developed ATV was significantly higher versus the first ATV-positive sample drawn on patients who did develop positive ATVs [11.3 µg/mL (5.9–20.6) vs. 3.9 µg/mL (0–9.0, p < 0.0001] (Fig. 1). Likewise, in a per-sample analysis, the median VDZ concentration was also significantly higher in those samples with undetectable ATV when compared to those with detectable ATV [12.2 µg/mL (6.6–22.3) vs. 4.3 µg/mL (0–9.6)] (Supplementary Figure 1A). ATV were detectable at all drug concentrations; however, the percentages of antibody positive samples were the highest at the lowest drug concentrations (Supplementary Figure 1B). A total of 95% of ATV-positive samples were detectable at or below the VDZ drug concentration of 31.5 µg/mL (data not shown).
Fig. 1

Vedolizumab concentrations in the first available sample in patients with and without detectable anti-vedolizumab antibodies. Median (IQR) vedolizumab concentrations are shown

Vedolizumab concentrations in the first available sample in patients with and without detectable anti-vedolizumab antibodies. Median (IQR) vedolizumab concentrations are shown When performing sub-group analysis in patients with CD and UC, we found similar results. Patients with CD who were ATV-positive had significantly lower median VDZ levels versus those without ATV [4.1 µg/mL (IQR: 0.0–9.3) vs. 11.1 µg/mL (IQR: 5.6–20.4), p < 0.0001]. Furthermore, those patients with CD and detectable ATV had a lower chance of achieving VDZ levels ≥ 15 µg/mL [OR 0.33 (95% CI 0.17–0.58), p < 0.0001]. In the UC sub-group, we also found a significant difference in drug levels between those patients with and without ATV [3.2 µg/mL (IQR: 0.0–7.6) vs. 11.5 µg/mL (IQR: 6.1–20.7), p < 0.0001]. As in the CD sub-group, those patients with UC and detectable ATV had a lower chance of achieving a VDZ level ≥ 15 µg/mL [OR 0.23 (95% CI 0.13–0.37), p < 0.0001].

Endoscopic Healing Index, Vedolizumab Serum Levels, and Anti-vedolizumab Antibodies

A total of 287 patients had VDZ/ATV levels and EHI performed within 30 days of each other. Of those, 59% were women and the median age was 48 years (IQR: 36–62) (Table 1). 3.8% were pediatric patients. Ninety-one percent of the matching VDZ and EHI tests were performed on the same serum sample and 95% were performed on samples collected within one day of each other. The median EHI of the cohort was 36 (IQR: 23–51) and the median VDZ levels were 14.1 µg/mL (IQR: 7.1–24.7). Only 4 of the 287 patients had detectable ATV (1.4%). As in the total cohort of the study patients (those with and without a EHI test performed), VDZ levels were significantly lower in those patients with detectable ATV when compared to those without ATV (< 1.6 µg/mL [IQR: < 1.6–2.18] vs. 14.5 µg/mL [IQR: 7.4–25.0], p = 0.003). When stratifying the patients into 3 groups based on their EHI values using the two established thresholds (EHI of 20 and 50), serum VDZ levels were significantly higher in those patients with EHI < 20 when compared to those with EHI between 20 and 50 and those with EHI > 50 (p = 0.006 and 0.0014 respectively—Fig. 2a). A negative regression of EHI values (slope: − 3.304, p = 0.0016) was observed with increasing VDZ drug quartile values (supplementary Figure 2 and supplementary Table 1) with increasing likelihood of patients with EHI < 20 (Fig. 2b, Table 2). Patients with a VDZ level ≥ 15 µg/mL (n = 134) were significantly more likely to have an EHI < 20 (OR 3.5 [95% CI 1.8–7.3], p < 0.0001) compared to patients with VDZ concentrations < 15 µg/mL (n = 153).
Fig. 2

a)Serum drug concentrations of vedolizumab in endoscopic healing index (EHI) groups of < 20, between 20 and 50 and > 50 are presented with median values indicated below each EHI group. Spearman rho value indicating linear inverse relation between vedolizumab concentrations and increasing EHI groups is presented. b Proportion of Crohn’s disease patients with an endoscopic healing index (EHI) < 20 by serum concentration quartile of vedolizumab

Table 2

Vedolizumab concentration ranges in each quartile and corresponding percentage of patients with Endoscopic healing Index < 20 in each drug quartile

VDZ drug quartileVDZ concentration range (µg/mL)NEHI < 20 N (%)
10.0–7.1739 (12.3%)
27.2–14.1716 (8.5%)
314.2–24.77117 (23.9%)
4≥ 24.87220 (27.8%)

VDZ Vedolizumab, EHI endoscopic healing index

a)Serum drug concentrations of vedolizumab in endoscopic healing index (EHI) groups of < 20, between 20 and 50 and > 50 are presented with median values indicated below each EHI group. Spearman rho value indicating linear inverse relation between vedolizumab concentrations and increasing EHI groups is presented. b Proportion of Crohn’s disease patients with an endoscopic healing index (EHI) < 20 by serum concentration quartile of vedolizumab Vedolizumab concentration ranges in each quartile and corresponding percentage of patients with Endoscopic healing Index < 20 in each drug quartile VDZ Vedolizumab, EHI endoscopic healing index

Endoscopic Healing Index Threshold Analysis

The VDZ drug threshold that differentiates an EHI < 20 and an EHI > 50 with the best sensitivity/specificity (Youden’s index) was identified as 15.7 µg/ml sensitivity (95% CI) = 65.3% (53.1–76.1) and specificity (95% CI) = 71.2% (56.9–82.9) (Fig. 3a).
Fig. 3

a ROC curve of vedolizumab drug concentrations for differentiating patients with EHI > 50 versus EHI < 20. b Vedolizumab contingency tables with sensitivity and specificity at a serum vedolizumab concentration threshold at the Youden’s index (15.7 µg/mL)

a ROC curve of vedolizumab drug concentrations for differentiating patients with EHI > 50 versus EHI < 20. b Vedolizumab contingency tables with sensitivity and specificity at a serum vedolizumab concentration threshold at the Youden’s index (15.7 µg/mL) When analyzing the study cohort using a VDZ drug threshold of 15.7 µg/mL, 72 (25.1%) patients treated with VDZ were identified as having an EHI > 50 of whom 47 (65.2%) had a VDZ concentration < 15.7 µg/mL (Fig. 3b). Conversely, 35% of patients on VDZ were identified to have EHI > 50 with VDZ concentration ≥ 15.7 µg/ml.

Conclusion

A large amount of evidence has supported the use of TDM as a tool to manage patients with IBD receiving biologics, especially anti-TNF agents. The role of TDM in patients being treated with VDZ has been less recognized. There may be several reasons that can explain this phenomenon. Most previous studies have found a low rate of immunogenicity against VDZ. This has restricted analyses exploring the relationship of ATV and the pharmacokinetics of VDZ. There is also a gap in knowledge on how TDM can be used in patients on VDZ, especially when using treat-to-target strategies and biomarkers. In this study, we analyzed serum VDZ and ATV concentrations from almost 10,000 adult and pediatric patients treated with VDZ. This allowed us to understand the association of VDZ levels and the presence of ATV. We found that the presence of ATV was associated with lower VDZ drug levels, suggesting that those patients who do develop immunogenicity to VDZ can theoretically be at a higher risk of experiencing non-response or an infusion reaction to the drug [14]. Despite the heterogeneity of assays used, the rates of immunogenicity in other cohorts have been similar [1, 2]. In a study that also used the HMSA to assess the correlation between VDZ levels, ATV, and remission in patients receiving maintenance therapy for UC or CD, the authors found that 1.6% of the study population had ATV [13]. In another study using a drug-tolerant assay, only 1 of 928 samples had detectable ATV. Rates of immunogenicity in the pivotal GEMINI I and II trials were 3.7 and 4.1%, respectively [1, 2]. Future studies looking to identify patients with transient versus persistent antibodies and their clinical significance are warranted. A prospective trial looking into VDZ levels during induction and long-term outcomes found that, of 55 patients, 3 had detectable antibodies at week 2, and they all became undetectable by week 6 [8]. This study also explored the association between serum VDZ levels and the EHI, a non-invasive serum biomarker with favorable diagnostic accuracy for identifying mucosal inflammation in patients with CD. We found that VDZ levels were significantly higher in those patients with an EHI < 20 (a threshold strongly associated with endoscopic healing), suggesting that VDZ levels may correlate with a lack of endoscopic mucosal inflammation. In a threshold analysis, we found that a VDZ level > 15.7 µg/ml was best associated with an EHI < 20. Further studies looking into the association between the EHI, drug levels and response to VDZ are warranted. Furthermore, it is important to consider that there are several assays available to measure VDZ levels and ATV in serum. This is critical, as the specific results of this study may not necessarily be the same if another assay is used. [13]. As pointed out in previous studies, an important question is how to explain these findings considering that previous studies have found that target membrane α4β7 integrin on peripheral blood memory T cells are fully occupied during both induction and maintenance with VDZ, regardless of clinical response or drug serum levels [6]. Despite the lack of knowledge whether or not all samples were collected at trough, these data suggest an apparent exposure–response relationship in VDZ, and that VDZ exposure concentrations > 15.7 µg/ml are associated with EHI < 20. The study had the benefit of analyzing real-world data from a large adult and pediatric population receiving VDZ. To the best of our knowledge, this is the largest study reporting rates of immunogenicity against VDZ, allowing the exploration of how ATVs affect drug levels (and, hence, potentially efficacy). Previous studies have been limited due to the relatively low number of subjects presenting with detectable ATV, significantly limiting the analysis. Our large study population also allowed for sub-group analysis. For example, we found no difference in rates of immunogenicity between adults and pediatric populations or between CD and UC patients. This study is also the first to report the association between VDZ levels, ATV, and EHI in patients with CD. EHI is a novel algorithm which includes 13 biomarkers that has been shown to have a good correlation with endoscopic mucosal inflammation, hence being a potentially good non-invasive tool to be used in treat-to-target strategies. The study did have several limitations, including the cross-sectional design, lack of clinical data such as disease phenotype and severity, drug frequency, timing of the blood draw within the dose interval, the lack of knowledge on why the test was performed (pro-active monitoring, primary non-response, secondary non-response, infusion reaction, or re-start after a drug holiday), and the action taken by the treating clinician to the test results (such as dose escalation and adding an immunomodulator). In conclusion, although rates of ATV are low and transient in most patients, they are significantly associated with lower serum VDZ levels. Furthermore, serum VDZ levels also demonstrated a significantly inverse association with EHI. The use of TDM and treat-to-target strategies in patients on VDZ warrant further investigation. Below is the link to the electronic supplementary material. Supplementary material 1 (DOCX 11 kb) Supplementary Figure 1. (A) Vedolizumab concentrations in samples with and without detectable anti-vedolizumab antibodies. Median (IQR) vedolizumab concentrations are indicated. (B) Percentage of anti-vedolizumab positive samples as a function of increasing serum vedolizumab drug concentrations are shown. Number of samples in each vedolizumab drug concentration group are indicated on the x-axis. (JPEG 1325 kb) Supplementary Figure 2. Linear exposure–response relationship between median endoscopic healing index (EHI) and serum vedolizumab drug concentration quartiles in all patients with Crohn’s disease treated with vedolizumab. The table presents the vedolizumab concentration ranges in each quartile and corresponding median (IQR) EHI values in each drug quartile. (JPEG 677 kb)
  14 in total

1.  Vedolizumab Concentrations Are Associated with Long-Term Endoscopic Remission in Patients with Inflammatory Bowel Diseases.

Authors:  Andres J Yarur; Alexandra Bruss; Snehal Naik; Poonam Beniwal-Patel; Caroline Fox; Anjali Jain; Brandon Berens; Amir Patel; Ryan Ungaro; Bayda Bahur; Marla Dubinsky; Daniel J Stein
Journal:  Dig Dis Sci       Date:  2019-03-05       Impact factor: 3.199

2.  Clinical utility of measuring infliximab and human anti-chimeric antibody concentrations in patients with inflammatory bowel disease.

Authors:  Waqqas Afif; Edward V Loftus; William A Faubion; Sunanda V Kane; David H Bruining; Karen A Hanson; William J Sandborn
Journal:  Am J Gastroenterol       Date:  2010-02-09       Impact factor: 10.864

3.  Association of Vedolizumab Level, Anti-Drug Antibodies, and α4β7 Occupancy With Response in Patients With Inflammatory Bowel Diseases.

Authors:  Bella Ungar; Uri Kopylov; Miri Yavzori; Ella Fudim; Orit Picard; Adi Lahat; Daniel Coscas; Matti Waterman; Ola Haj-Natour; Noam Orbach-Zingboim; Ren Mao; Minhu Chen; Yehuda Chowers; Rami Eliakim; Shomron Ben-Horin
Journal:  Clin Gastroenterol Hepatol       Date:  2017-12-07       Impact factor: 11.382

4.  Effect of tight control management on Crohn's disease (CALM): a multicentre, randomised, controlled phase 3 trial.

Authors:  Jean-Frederic Colombel; Remo Panaccione; Peter Bossuyt; Milan Lukas; Filip Baert; Tomas Vaňásek; Ahmet Danalioglu; Gottfried Novacek; Alessandro Armuzzi; Xavier Hébuterne; Simon Travis; Silvio Danese; Walter Reinisch; William J Sandborn; Paul Rutgeerts; Daniel Hommes; Stefan Schreiber; Ezequiel Neimark; Bidan Huang; Qian Zhou; Paloma Mendez; Joel Petersson; Kori Wallace; Anne M Robinson; Roopal B Thakkar; Geert D'Haens
Journal:  Lancet       Date:  2017-10-31       Impact factor: 79.321

5.  Higher Trough Vedolizumab Concentrations During Maintenance Therapy are Associated With Corticosteroid-Free Remission in Inflammatory Bowel Disease.

Authors:  Ryan C Ungaro; Andres Yarur; Jacqueline Jossen; Becky L Phan; Ezra Chefitz; Priya Sehgal; Kanika Kamal; Alexandra Bruss; Poonam Beniwal-Patel; Caroline Fox; Amir Patel; Bayda Bahur; Anjali Jain; Daniel Stein; Snehal Naik; Marla C Dubinsky
Journal:  J Crohns Colitis       Date:  2019-08-14       Impact factor: 9.071

6.  Development and validation of a homogeneous mobility shift assay for the measurement of infliximab and antibodies-to-infliximab levels in patient serum.

Authors:  Shui-Long Wang; Linda Ohrmund; Scott Hauenstein; Jared Salbato; Rukmini Reddy; Patrick Monk; Steven Lockton; Nicholas Ling; Sharat Singh
Journal:  J Immunol Methods       Date:  2012-06-09       Impact factor: 2.303

7.  Vedolizumab as induction and maintenance therapy for ulcerative colitis.

Authors:  Brian G Feagan; Paul Rutgeerts; Bruce E Sands; Stephen Hanauer; Jean-Frédéric Colombel; William J Sandborn; Gert Van Assche; Jeffrey Axler; Hyo-Jong Kim; Silvio Danese; Irving Fox; Catherine Milch; Serap Sankoh; Tim Wyant; Jing Xu; Asit Parikh
Journal:  N Engl J Med       Date:  2013-08-22       Impact factor: 91.245

8.  Vedolizumab as induction and maintenance therapy for Crohn's disease.

Authors:  William J Sandborn; Brian G Feagan; Paul Rutgeerts; Stephen Hanauer; Jean-Frédéric Colombel; Bruce E Sands; Milan Lukas; Richard N Fedorak; Scott Lee; Brian Bressler; Irving Fox; Maria Rosario; Serap Sankoh; Jing Xu; Kristin Stephens; Catherine Milch; Asit Parikh
Journal:  N Engl J Med       Date:  2013-08-22       Impact factor: 91.245

9.  Development and Validation of a Test to Monitor Endoscopic Activity in Patients With Crohn's Disease Based on Serum Levels of Proteins.

Authors:  Geert D'Haens; Orlaith Kelly; Robert Battat; Mark S Silverberg; David Laharie; Edouard Louis; Edoardo Savarino; Giorgia Bodini; Andres Yarur; Brigid S Boland; Waqqas Afif; Xiao-Jun Li; Michael Hale; Jessica Ho; Venkateswarlu Kondragunta; Benjamin Huang; Crystal Kuy; Lauren Okada; Kelly D Hester; Kurtis R Bray; Larry Mimms; Anjali Jain; Siddharth Singh; Angelina Collins; Mark A Valasek; William J Sandborn; Severine Vermeire; Parambir S Dulai
Journal:  Gastroenterology       Date:  2019-11-08       Impact factor: 22.682

10.  Vedolizumab exposure levels and clinical outcomes in ulcerative colitis: determining the potential for dose optimisation.

Authors:  Mark T Osterman; Maria Rosario; Karen Lasch; Morris Barocas; Jayson D Wilbur; Nathanael L Dirks; Marc R Gastonguay
Journal:  Aliment Pharmacol Ther       Date:  2019-01-20       Impact factor: 8.171

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.