Literature DB >> 33195311

Head-to-Head Comparison of Etanercept vs. Adalimumab in the Treatment of Ankylosing Spondylitis: An Open-Label Randomized Controlled Crossover Clinical Trial.

James Cheng-Chung Wei1,2,3, Hsi-Kai Tsou4,5, Pui-Ying Leong1,2, Chia-Yin Chen1,2, Jin-Xian Huang6.   

Abstract

Background: Anti-tumor necrosis factor biological agents had been proved to have a dramatic effect in ankylosing spondylitis (AS). We aimed to determine the efficacy and safety of crossover effects of adalimumab vs. etanercept in AS patients.
Methods: A randomized, open-label crossover study was done in patients with active AS. Patients were randomized into two sequence groups, etanercept first (treatment arm) vs. adalimumab first (control arm) 8 weeks and then switched over for another 8 weeks. The primary endpoints were the difference of the Bath AS activity index and AS disease activity score (ASDAS)crp at week 16. Secondary endpoints were ASDASesr, ASAS20, and ASAS40 response rates and the proportion of patients achieving ASDAS inactive disease and low disease activity at weeks 8 and 16. Patient global assessment and preference was grading on a numerical scale.
Results: A total of 21 patients were screened, and 19 of them were randomly allocated into the treatment arm (n = 9) and control arm (n = 9). At baseline, age, sex, Bath AS activity index, and ASDAS of both arms were comparable (p > 0.05). Both arms showed dramatic improvement, whereas no significance was observed between the changes of ASDAScrp (0.90 ± 1.39 vs. 1.24 ± 1.40 at week 8, p = 0.612; 1.02 ± 1.22 vs. 1.26 ± 1.44 at week 16, p = 0.707, respectively). ASAS20 and ASAS40 response rates were also comparable at week 8 (33 vs. 44%, p = 1.000; 22 vs. 22%, p = 1.000) and week 16 (22 vs. 22%, p = 1.000; 22 vs. 22%, p = 1.000), respectively. Both arms were well-tolerated without a serious adverse event. Adalimumab was relatively more favorable by patients in both arms, with a total mean grading score of 0.4 (-5-5, p = 0.218).
Conclusion: Etanercept and adalimumab can both dramatically improve disease activity in 16 weeks. Crossover administration of etanercept and adalimumab revealed comparable efficacy and safety. Trial Registration: The protocol was approved by the Institutional Review Board with the register CS08019 from Chung Shan Medical University Hospital (CSMUH), Taichung, Taiwan and registered at ClinicalTrials.gov Protocol Registration and Results System: NCT02489760.
Copyright © 2020 Wei, Tsou, Leong, Chen and Huang.

Entities:  

Keywords:  adalimumab; ankylosing spondylitis; efficacy; etanercept; safety

Year:  2020        PMID: 33195311      PMCID: PMC7662505          DOI: 10.3389/fmed.2020.566160

Source DB:  PubMed          Journal:  Front Med (Lausanne)        ISSN: 2296-858X


Introduction

Ankylosing spondylitis (AS) is chronic inflammatory arthritis causing back pain, peripheral arthritis, and enthesitis. Anti-tumor necrosis factor (TNF) biological agents, including etanercept (ETN) (1, 2), infliximab (IFX) (3, 4), adalimumab (ADA) (5, 6), certolizumab (7, 8), and golimumab (9, 10) had been proved to have dramatic anti-inflammatory and immunomodulatory effects in AS. Emerging evidence of other biotechnological drugs, including interleukin 17 inhibitors (11, 12) and Janus kinase inhibitors (13), has also been raised in AS recently. Nonetheless, ETN and ADA are considered cost-effective in the treatment of AS (14, 15). Switching would be useful in AS patients due to the different chemical structures and mechanisms of action of TNFi. No prospective randomized controlled switch study between ETN and ADA has been done so far. In the literature, there are till now published systemic reviews and mono- or multicenter retrospective studies of real-life that have indicated that switching would be beneficial for the majority of patients with AS who failed the initial TNFi treatment, but there are no available data of open-label randomized controlled trial (RCT) focused on the comparison between these two originator TNFi (16, 17). Few trials have so far published comparative data between original and biosimilar TNFi in AS and other spondyloarthritis (18–21). Switching to ETN after IFX treatment escape restores the clinical response in most patients (22). Thus, we conducted this open-label randomized controlled crossover study in ETN- and ADA-treated AS patients to analyze the effect of switching TNFi.

Materials and Methods

Trial Design

The study was a phase IV, crossover, open-label, randomized controlled clinical trial, carried out in Chung Shan Medical University Hospital (CSMUH), Taichung, Taiwan. The study was reviewed and approved by the CSMUH Institutional Review Board (CS08019). A written informed consent form was obtained before subjects were enrolled. The study was registered in ClinicalTrials.gov with identifier number NCT02489760.

Patients

Adults patients, aged between 18 and 70 years, classified according to the 1984 Modified New York Criteria for AS, were enrolled (23). At randomization, patients should be on stable background therapy as non-steroid anti-inflammatory drugs for at least 2 weeks, glucocorticoid for 4 weeks, and disease-modifying antirheumatic drugs, including sulfasalazine (SSZ) and methotrexate (MTX), for 8 weeks. All patients were biologics-naive. Exclusion criteria were participants with serum creatinine ≥3.0 mg/dl and/or alanine aminotransferase (serum glutamic pyruvic transaminase) ≥5 times the laboratory's upper limit of normal. Pregnant or breast-feeding women, participants with active tuberculosis infection, and those who do not meet the indication of using ETN and ADA were also excluded from the study.

Interventions

Eligible patients were randomized equally into two arms. The treatment arm received ETN (Enbrel) 25 mg subcutaneously twice a week for 8 weeks then switched to ADA (Humira) 40 mg subcutaneously biweekly for another 8 weeks. The control arm received ADA 40 mg subcutaneously biweekly for 8 weeks. At week 8, the control arm switched to ETN 25 mg subcutaneously biweekly for another 8 weeks. Evaluations will be performed at baseline and weeks 4, 8, 12, and 16. All concomitant treatments were maintained at a stable dose during the whole 16 weeks' study duration.

Endpoints

The primary endpoints of this study were the difference of the Bath AS activity index (BASDAI) and AS disease activity score (24) (ASDAS)crp at week 16. Secondary endpoints included ASDASesr, ASAS20, and ASAS40 (25, 26), the proportion of patients achieving ASDAS inactive disease (ID), and low disease activity (LDA) (27) at weeks 8 and 16. Laboratory assessment of inflammation with hypersensitive C-reactive protein, immunoglobulin A, and erythrocyte sedimentation rate as well as serum creatinine, alanine aminotransferase (serum glutamic pyruvic transaminase), and complete blood count were also recorded. In addition, the patient preference scale was assessed in our evaluation. Patients graded their preference of ETN and ADA on a scale of −5–5 points. If the patient favored ETN (Enbrel), his/her graded score was from −5 to 0. If the patient favored ADA (Humira), his/her graded score was from 0 to 5. A lower score represented a preference for Enbrel, and a higher score represented a preference for Humira.

Safety Evaluation

All patients who received at least 1 dose of test medicine were evaluated for safety. The following variables were assessed: physical examination/vital signs, hematology and chemistry profiles, urinalysis, assessment of extra-spinal and extra-articular involvement, premature withdrawal, adverse events, and serious adverse events during the study.

Statistical Analysis

Descriptive statistics was used to summarize the continuous variables. Frequency and proportion were used to summarize the categorical variables. The primary analysis was performed based on the intent-to-treat population. Frequency of dropouts, premature termination of study medication, and withdrawal were provided and summarized. The last-observation-carried-forward approach was used to evaluate missing data. All statistical tests were two-sided, which was evaluated at 5% level significance.

Sample Size Estimation

This is a single-center open-labeled pilot study. Let us assume that the BASDAI scores of the treatment group (μ1) were reduced to 2 from 4 and the BASDAI scores of the control group (μ0) were reduced to 3.5 from 4. A two-sided test was used, with type I error (α) = 0.05, statistical power (1-β) = 0.8, and standard deviation = 2. The expected dropout rate was 10% in this research. Finally, the study required only 14 subjects in each group to achieve 95% power. The targeted sample size for the study was 30 patients. However, the study was terminated at 19 because of difficulty in patient enrollment.

Results

Participants

A total of 21 participants were screened, and 19 were eligible and randomized into two groups. At the very beginning, 10 patients were assigned to the Enbrel→Humira group (1 patient withdrew consent before injection), and 9 patients were assigned to the Humira→Enbrel group. Therefore, nine patients for each group were included in the final analysis (Figure 1). In the Enbrel→Humira group, three patients dropped out, including two dropouts at 30 days and 53 days due to cost that was unable to be covered by medical insurance and one dropout at 93 days for unknown reasons. In the Enbrel→Humira group, four patients dropped out, including one dropout at 77 days due to inefficacy, one dropout at 63 days with treatment change to Enbrel, one dropout at 100 days due to cost that was unable to be covered by medical insurance, and one dropout due to screen failure. Baseline values for various disease activity and other measures were similar at the start of the first drug administration (Table 1). At baseline, age- and sex-matched for two arms were enrolled. HLA-B27 positivity values were 88.89% in the Enbrel→Humira group and 71.43% in the Humira→Enbrel group and 81.25% in total. For concomitant treatment, three patients (one in the Humira→Enbrel group and two in the Enbrel→Humira group) were on MTX with an average dosage of 11.67 mg per week. Thirteen patients (four in the Humira→Enbrel group and nine in the Enbrel→Humira group) were on SSZ with an average dosage of 1.62 g per day. Only two patients in the Enbrel→Humira group were in combination treatment of MTX and SSZ. Totally one patient discontinued MTX, and two patients discontinued SSZ in Humira→Enbrel. BASDAIs were 4.67 ± 2.71 for the treatment arm and 4.25 ± 2.84 for the control arm (p > 0.05). ASDAScrps were 2.02 ± 1.34 for the treatment arm and 2.05 ± 1.38 for the control arm (p > 0.05).
Figure 1

Screening procedure for an eligible patient enrolled for the treatment arm and the control arm.

Table 1

Baseline demographics characteristics.

Enbrel→HumiraHumira→Enbrelp-value
(n = 9)(n = 9)
Age (years)a39.44 ± 11.2036.00 ± 7.570.456
Sex (male %)5 (55.56%)7 (77.78%)0.720
NSAIDs (%)8 (88.9%)6 (66.7%)0.576
DMARDs(%)8 (88.9%)6 (66.7%)0.294
Weight (kg)b59.00 (17.00)61.00 (16.00)0.544
Height (cm)a164.00 ± 11.54165.00 ±6.950.827
SBP (mmHg)a130.40 ± 15.56116.30 ± 14.180.062
DBP (mmHg)a76.22 ± 11.3375.00 ± 8.400.798
MBP (mmHg)a94.29 ± 12.0588.78 ± 8.120.272
WBC (103/μl)a7.19 ± 2.717.06 ± 0.750.896
RBC (104/μl)a460.00 ± 52.88481.70 ± 57.200.416
Hb (gm/dl)a13.29 ± 1.5012.71 ± 1.650.449
Ht (%)a40.67 ± 3.8839.84 ± 3.700.652
MCV (fl)b88.20 (6.70)86.20 (5.30)0.345
MCH (Pg)b28.70 (3.90)28.20 (2.40)0.345
MCHC (g/dl)b32.60 (0.60)32.50 (1.10)0.462
Platelet (103/μl)a264.56 ± 54.19250.00 ± 73.030.638
GPT (IU/l)b14.00 (6.00)13.00 (10.00)1.000
Creatinine (mg/dl)a0.83 ± 0.100.84 ± 0.170.870
HS-CRP (mg/dl3)b0.84 (2.95)0.26 (0.53)0.728
ESR (mm/h)b16 (28)18 (20)0.862
IgAb222.00 (55.00)255.00 (224.00)0.862
PGAa6.06 ± 1.984.44 ± 1.240.055
PtGAa5.67 ± 2.244.67 ± 2.650.399
BASDAIa4.67 ± 2.714.25 ± 2.840.752
BASFIb2.40 (3.35)5.30 (1.50)0.303
BAS-Ga4.95 ± 3.035.17 ± 2.590.873
ASDAScrp2.02 ± 1.342.05 ± 1.380.971
ASDASesr1.53 ± 0.991.61 ± 1.040.865

mean ± SD.

median (IQR).

NSAIDs, non-steroidal anti-inflammatory drugs; DMARDs, disease-modifying antirheumatic drugs; SBP, systolic blood pressure; DBP, diastolic blood pressure; MBP, mean blood pressure; WBC, white blood count; RBC, red blood count; Hb, hemoglobin; Ht, hematocrit; MCV, mean corpuscular volume; MCH, mean corpuscular hemoglobin; MCHC, mean corpuscular hemoglobin; GPT, alanine aminotransferase; HS-CRP, hypersensitive C-reactive protein; ESR, erythrocyte sedimentation rate; PGA, Physician Global Assessment; PtGA:Patient Global Assessment; BASDAI, Bath Ankylosing Spondylitis Activity Index; BASFI, Bath Ankylosing Spondylitis Functional Index; BAS-G, Bath Ankylosing Spondylitis Patient Global Score; ASDAS, Ankylosing Spondylitis Disease Activity Score.

Screening procedure for an eligible patient enrolled for the treatment arm and the control arm. Baseline demographics characteristics. mean ± SD. median (IQR). NSAIDs, non-steroidal anti-inflammatory drugs; DMARDs, disease-modifying antirheumatic drugs; SBP, systolic blood pressure; DBP, diastolic blood pressure; MBP, mean blood pressure; WBC, white blood count; RBC, red blood count; Hb, hemoglobin; Ht, hematocrit; MCV, mean corpuscular volume; MCH, mean corpuscular hemoglobin; MCHC, mean corpuscular hemoglobin; GPT, alanine aminotransferase; HS-CRP, hypersensitive C-reactive protein; ESR, erythrocyte sedimentation rate; PGA, Physician Global Assessment; PtGA:Patient Global Assessment; BASDAI, Bath Ankylosing Spondylitis Activity Index; BASFI, Bath Ankylosing Spondylitis Functional Index; BAS-G, Bath Ankylosing Spondylitis Patient Global Score; ASDAS, Ankylosing Spondylitis Disease Activity Score.

Efficacy Endpoints

The mean values of ASDAScrp dropped from 2.02 to 1.13 at week 8 and remained 1.00 at week 16 for the treatment arm. Similarly, this value dropped from 2.05 to 0.81 at week 8 and continued to decrease to 0.78 at week 16 for the control arm. The difference of ASDAScrp between two arms was not significant at weeks 8 and 16, with p-values of 0.478 and 0.571, respectively (Figure 2). ASDASesr also showed a similar trend of decreasing from baseline to the last visit for both arms without a significant difference between the two arms (see more details in Figure 2).
Figure 2

Changes in disease activity scores for the two arms. Descending trend was noticed in BASDAI, ASDAScrp, and ASDASesr in both the treatment arm and the control arm. Outcome measurements were comparable for the three disease activity scores at weeks 8 and 16 (p > 0.05).

Changes in disease activity scores for the two arms. Descending trend was noticed in BASDAI, ASDAScrp, and ASDASesr in both the treatment arm and the control arm. Outcome measurements were comparable for the three disease activity scores at weeks 8 and 16 (p > 0.05). The mean value of BASDAI dropped at week 8 for both arms, decreasing from 4.67 to 3.08 for the treatment arm and from 4.25 to 2.06 points for the control arm, without significant difference between the two arms (p = 0.354). At week 16, it continued to decrease to 2.42 points for the treatment arm and 1.95 points for the control arm, whereas the difference between the two arms was not significant (p = 0.791) (Figure 2). At week 8, the ASAS20 response was achieved in 33% of the participants in the treatment arm and 44% of the participants in the control arm. Nonetheless, 44% of the participants for the two arms achieved ASAS20 at week 16. At week 16, the ASAS40 response was achieved in 44% of the participants in both arms. Furthermore, 22% of the participants in both arms achieved ASAS40 at week 16 (Figure 3).
Figure 3

Clinical response evaluated by ASAS20 and ASAS40 for the two arms. Percentage of patients achieving ASAS20 and ASAS40 at five-time visits from baseline to week 16 was shown.

Clinical response evaluated by ASAS20 and ASAS40 for the two arms. Percentage of patients achieving ASAS20 and ASAS40 at five-time visits from baseline to week 16 was shown. The proportion of patients achieving ASDAS ID/LDA at different time visits is shown in Figure 4. Overall, 5 (56%) patients in the treatment arm and 6 (67%) patients in the control arm showed an ASDAScrp ID status at week 8. Nevertheless, 6 (67%) for both arms reached ID at week 16. For ASDASesr, 6 (67%) patients in the treatment arm and 7 (78%) patients in the control arm achieved ID at week 8, whereas 8 (89%) patients in the treatment arm and 7 (78%) patients in the arm remained in ID at week 16 on the contrary. LDA for ASDAScrp was achieved in 7 (78%) patients in the treatment arm and 9 (100%) patients in the control arm at week 8 and an ascending rate of 8 (89%) patients in the treatment arm and remained 9 (100%) patients in the control arm at week 16. Even better for ASDASesr, 9 (100%) patients in both arms reached LDA at week 8 and remained at week 16 (Figure 4).
Figure 4

Clinical efficacy assessed by ASDAS ID/LDA status for the two arms. Percentage of patients achieving ASDAScrp and ASDASesr defined ID/LDA at five-time visits from baseline to week 16 was shown.

Clinical efficacy assessed by ASDAS ID/LDA status for the two arms. Percentage of patients achieving ASDAScrp and ASDASesr defined ID/LDA at five-time visits from baseline to week 16 was shown.

Patient Preference

According to the degree of patient preference, participants in the treatment arm favored more for ETN with a grading score of 0.9, and participants in the control arm favored more for ADA with a grading score of 1.5. On average, all participants in the two arms favored more for ADA with a total mean grading score of 0.4, whereas the difference between the treatment arm and control arm for patient preference grading was not significant (p = 0.218) (Figure 5).
Figure 5

Patient preference for Enbrel and Humira in the treatment arm and the control arm. Totally seven patients were graded in the treatment arm, and eight patients were graded in the control arm.

Patient preference for Enbrel and Humira in the treatment arm and the control arm. Totally seven patients were graded in the treatment arm, and eight patients were graded in the control arm.

Laboratory Measurements

There were no clinically significant changes in laboratory parameters noted over the 16 weeks. The difference of inflammatory biomarkers, including hypersensitive C-reactive protein, immunoglobulin A, and erythrocyte sedimentation rate for the two arms, was not significant for the five-time visits (p > 0.05) (see Supplementary Materials). In total, 37 adverse events were reported, including eight influenzas, five headaches, three skin itching, fatigue, and congesting eyes, two impaired liver function, oral ulcer and alopecia, one xerostomia, rhinitis, diarrhea, soreness, and swelling of bilateral hip joints, laceration of the right knee joint, insomnia, and hypertension. No severe adverse event was reported.

Discussion

To the best of our knowledge, this study is the first to provide evidence for the clinical efficacy of crossover effects in ETN and ADA in AS. Patients in two arms both have a dramatic reduction in disease activity, as assessed by comparable change in BASDAI and ASDAS from baseline to week 16 and the non-significant difference for ASAS responses and proportion of patients achieving ASDAS ID/LDA. TNFi seemed to be equipotent in the treatment of AS. No particular TNFi was recommended as the preferred choice for AS with a moderate level of evidence (28). TNFi switching between ETN and ADA and vice versa have been reported in several studies (29–31). A recent systemic review indicated that switching would be beneficial for most patients with AS who failed the initial TNFi treatment (32). No concrete evidence exists to support the equivalent efficacy of ETN and ADA in the treatment of AS. Thus, our crossover study further proved the equipotent of these two drugs in the treatment of AS. The treat to target concept (33) in AS was introduced, and the main treatment target was defined as remission, with the alternative target of LDA. The proportion of ASDAS ID/LDA was similar for the two arms, indicating that the treatment target was achieved in such a short period in this specific disease setting. The interesting point we would like to highlight in our study is the analysis of patient preference using a grading scale. Perhaps, the choice to use the patient preference scale as a variable of effectiveness is debatable because it is a non-objective measurement index and usually used to evaluate another type of objective: the compliance. It has been proved that efficacy, safety, cost, and convenience would all count in patient preference (34). It was recommended that patient preference for the dosing frequency and administration route of a specific TNFi should be weighed, and treatment should be a shared decision with the patient (33). The patient seemed to favor biologics with less frequent administration, as ADA was more convenient subcutaneously with biweekly injection compared with ETN with a once-weekly injection. Patient preference might, to some extent, reflect on drug switching, drug survival, and retention. Switching seemed to be more prominent in IFX-treated patients. Also, ETN and ADA were superior to IFX in drug survival. Intravenous administration of IFX might probably contribute to the lower drug survival. Retention was greatest with ADA, followed by ETN and IFX (35). Inflammatory phenotype, comorbidities, and socioeconomy affected drug retention (36). Patient preference data can be used to aid clinical decisions of TNFi choice. Another measure of effectiveness is the reduction of bone marrow edema (BME) of the sacroiliac joints (SIJs) at MRI (37). Because this is a head-to-head crossover open-label RCT study, the improvement of BME at SIJ MRI would be an interesting secondary endpoint. In a recent study with AS, a quick decrease of BME in SIJ predicts better treatment response to ETN in 6 months (38). On the contrary, MRI is unable to predict clinical response to TNF-α inhibitor in AS patients within 14 weeks (39). Currently, using MRI of the SIJs as an outcome parameter in AS clinical trials evaluating the efficacy of treatment is not a validated approach (40). The observation time of our study was merely 16 weeks in total, relatively short as compared with previous studies. Although the level of antidrug antibody was not detected in our study, it has been reported that the presence of neutralizing antibodies is associated with lower serum levels of the anti-TNF-α biologics, leading to lower efficacy and higher withdrawal rate (41). A high antidrug antibody level can avoid compromising efficacy, especially with the concomitant treatment with MTX (42). The underlying mechanism was identified as the pharmacodynamic effect of MTX via the lowering of immunogenicity and immunogenicity-mediated clearance of antidrug antibodies (43). Monitoring of the antidrug antibody level at different time visits could be served as a tool for efficacy evaluation and dosage adjustment in future studies. Factors such as female sex, use of steroids, persistently high inflammatory levels, Bath Ankylosing Spondylitis Functional Index, and BASDAI indices were found to be negative predictors of treatment response (44, 45). Also, both ETN and ADA showed better retention of treatment when compared with IFX (46). It would be of great value to analyze the predictors of treatment response and drug survival in a head-to-head comparison between these two drugs with a larger sample size. There were some limitations to our study. This study was underpowered for a direct comparison of ETN with ADA because of the limited sample size. Moreover, this RCT is a single-center open-labeled study design without double-blinded to patients, and physicians might introduce information bias. Additionally, although a crossover study between ETN and ADA showed dramatic effectiveness and well-tolerability in this study, short-term evaluation without follow-up might not reflect the long-term effect. Meanwhile, MRI was not selected as an endpoint due to short observation time. Larger and longer-term studies with objective outcome measures are needed to confirm our findings.

Conclusion

ETN and ADA can both dramatically improve disease activity in 16 weeks. Crossover administration of ETN and ADA revealed comparable efficacy and safety.

Data Availability Statement

All datasets presented in this study are included in the article/Supplementary Material.

Ethics Statement

The studies involving human participants were reviewed and approved by Chung Shan Medical University Hospital (CSMUH) institutional review board. The patients/participants provided their written informed consent to participate in this study.

Author Contributions

JW was the coordinating investigator. JW, P-YL, and C-YC contributed to study conduct and/or data collection. P-YL and C-YC analyzed and/or interpreted the data. JW, H-KT, and J-XH collaborated in the drafting and critical revision of the manuscript. All authors approved the final version of the manuscript and vouch for the accuracy of the analyses and the fidelity of the study to the protocol.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The reviewer M-CW declared a shared affiliation, though no other collaboration, with one of the author, H-KT, to the handling editor.
  46 in total

1.  Infliximab, etanercept and adalimumab for the treatment of ankylosing spondylitis: cost-effectiveness evidence and NICE guidance.

Authors:  Allan Wailoo; Nick Bansback; Jim Chilcott
Journal:  Rheumatology (Oxford)       Date:  2008-02       Impact factor: 7.580

2.  Comparison of the Effects of Secukinumab and Adalimumab Biosimilar on Radiographic Progression in Patients with Ankylosing Spondylitis: Design of a Randomized, Phase IIIb Study (SURPASS).

Authors:  Xenofon Baraliakos; Mikkel Østergaard; Lianne S Gensler; Denis Poddubnyy; Eun Young Lee; Uta Kiltz; Ruvie Martin; Hiroshi Sawata; Aimee Readie; Brian Porter
Journal:  Clin Drug Investig       Date:  2020-03       Impact factor: 2.859

3.  Clinical relevance of monitoring serum adalimumab levels in axial spondyloarthritis.

Authors:  José Miguel Senabre Gallego; Jose Rosas; Mariana Marco-Mingot; José Alberto García-Gómez; Gregorio Santos-Soler; Esteban Salas-Heredia; Ana Pons-Bas; Xavier Barber-Vallés; José Antonio Bernal-Vidal; Catalina Cano-Pérez; Mario García-Carrasco; Emilio Flores-Pardo
Journal:  Rheumatol Int       Date:  2019-03-21       Impact factor: 2.631

4.  Drug levels, anti-drug antibodies, and clinical efficacy of the anti-TNFα biologics in rheumatic diseases.

Authors:  C C Mok; D van der Kleij; G J Wolbink
Journal:  Clin Rheumatol       Date:  2013-07-26       Impact factor: 2.980

5.  Ankylosing spondylitis assessment group preliminary definition of short-term improvement in ankylosing spondylitis.

Authors:  J J Anderson; G Baron; D van der Heijde; D T Felson; M Dougados
Journal:  Arthritis Rheum       Date:  2001-08

6.  Treatment of active ankylosing spondylitis with infliximab: a randomised controlled multicentre trial.

Authors:  J Braun; J Brandt; J Listing; A Zink; R Alten; W Golder; E Gromnica-Ihle; H Kellner; A Krause; M Schneider; H Sörensen; H Zeidler; W Thriene; J Sieper
Journal:  Lancet       Date:  2002-04-06       Impact factor: 79.321

7.  ASsessment in Ankylosing Spondylitis International Working Group/Spondylitis Association of America recommendations for conducting clinical trials in ankylosing spondylitis.

Authors:  Désirée van der Heijde; Maxime Dougados; John Davis; Michael H Weisman; Walter Maksymowych; Jürgen Braun; David S Hallegua; Jane Bruckel
Journal:  Arthritis Rheum       Date:  2005-02

8.  MRI in predicting a major clinical response to anti-tumour necrosis factor treatment in ankylosing spondylitis.

Authors:  M Rudwaleit; S Schwarzlose; E S Hilgert; J Listing; J Braun; J Sieper
Journal:  Ann Rheum Dis       Date:  2007-11-15       Impact factor: 19.103

9.  Drug survival of the first course of anti-TNF agents in patients with rheumatoid arthritis and seronegative spondyloarthritis: analysis from the MonitorNet database.

Authors:  Carlo A Scirè; Roberto Caporali; Piercarlo Sarzi-Puttini; Bruno Frediani; Manuela Di Franco; Angela Tincani; Luigi Sinigaglia; Paolo Sfriso; Rosella Tirri; Emanuela Bellis; Giovanni Delsante; Giovanni Porru; Fausto Salaffi; Dilia Giuggioli; Maurizio Rossini; Monica Todoerti; Laura Bazzichi; Marcello Govoni; Roberto Gerli; Roberto Raschetti; Giovanni Minisola; Carlomaurizio Montecucco; Silvano Todesco
Journal:  Clin Exp Rheumatol       Date:  2013-08-26       Impact factor: 4.473

10.  Predictors of response and drug survival in ankylosing spondylitis patients treated with infliximab.

Authors:  Mariagrazia Lorenzin; Augusta Ortolan; Paola Frallonardo; Francesca Oliviero; Leonardo Punzi; Roberta Ramonda
Journal:  BMC Musculoskelet Disord       Date:  2015-07-24       Impact factor: 2.362

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.