Skip to main content
  • Research article
  • Open access
  • Published:

Secukinumab in non-radiographic axial spondyloarthritis: subgroup analysis based on key baseline characteristics from a randomized phase III study, PREVENT

Abstract

Background

To investigate the efficacy of secukinumab in patients with active non-radiographic axial spondyloarthritis (nr-axSpA) grouped by disease activity as assessed by C-reactive protein (CRP) levels and/or magnetic resonance imaging (MRI) scores, human leukocyte antigen (HLA)-B27 status, and sex.

Methods

The phase III PREVENT study randomized (1:1:1) 555 patients to receive subcutaneous secukinumab 150 mg with (LD) or without (NL) loading dose or placebo weekly, followed by every 4 weeks starting at week 4. Here, we report the results of a post hoc analysis reporting the efficacy outcomes (pooled secukinumab) to 16 weeks by CRP, MRI, HLA-B27, and sex.

Results

Efficacy differences between the secukinumab and the placebo groups were highest in the CRP+, MRI+, HLA-B27+, and male subgroups, particularly for Ankylosing Spondylitis Disease Activity Score-CRP inactive disease and Assessment of SpondyloArthritis international Society (ASAS) partial remission outcomes. ASAS40 response rates in the CRP+/MRI+ subgroup was 52.3% (secukinumab) versus 21.8% (placebo; P < 0.0001) at week 16. ASAS40 response rates (secukinumab versus placebo) were 43.9% versus 32.6% in HLA-B27+, 32.7% versus 16.4% in HLA-B27− subgroups, 51.2% versus 30.8% in male, and 31.7% versus 25.3% in female patients, respectively.

Conclusions

Secukinumab improved the signs and symptoms of nr-axSpA across patients grouped by CRP (+/−) and/or MRI (+/−) status, HLA-B27 (+/−) status, and sex. The highest treatment differences between secukinumab and placebo were observed in patients with both elevated CRP and evidence of sacroiliitis on MRI. Treatment difference was minimal between HLA-B27 (+) and (−) subgroups. Male patients had higher relative responses than female patients.

Trial registration

ClinicalTrials.gov, NCT02696031. Registered on 02 March 2016

Background

Axial spondyloarthritis (axSpA) is a chronic inflammatory disease, with an estimated prevalence of no less than 0.5% in the global population [1]. AxSpA is categorized into radiographic axSpA (r-axSpA) or ankylosing spondylitis (AS) and non-radiographic axSpA (nr-axSpA) based on the presence of definite structural changes on radiographs of the sacroiliac joints (SIJs). Nr-axSpA may progress to r-axSpA or AS over the course of the disease. Spinal inflammation can be visualized using magnetic resonance imaging (MRI) and new bone formation using conventional radiography [2,3,4,5,6,7,8]. Patients with nr-axSpA can show a comparable disease activity and burden as patients with r-axSpA or AS. The rate of progression from nr-axSpA to AS varies over the years, with a lifetime risk of progression of approximately 50% [8,9,10,11,12,13].

The presence of objective signs of inflammation (elevated C-reactive protein [CRP] levels and/or evidence of sacroiliitis on MRI) is important prognostic indicators for nr-axSpA, as patients with elevated CRP levels and/or positive MRI findings are more likely to develop definite radiographic changes in a later stage of the disease [8, 9, 13,14,15]. Clinical assessments of disease activity and predictors of good response to treatment are essential for the management of nr-axSpA, irrespective of the presence or absence of radiographic changes [5, 13, 15]. Other predisposing factors include human leukocyte antigen (HLA)-B27 and sex. HLA-B27 positivity is a predictor of radiographic progression in nr-axSpA, with male patients more prone to disease progression [3, 7,8,9,10].

Non-steroidal anti-inflammatory drugs (NSAIDs) are used as first-line therapy in patients with axSpA. Tumor necrosis factor inhibitors (TNFi) are recommended in patients with active axSpA and objective signs of inflammation despite treatment with NSAIDs [15, 16]. In the updated Assessment of SpondyloArthritis international Society and European League Against Rheumatism (ASAS-EULAR) and the American College of Rheumatology, Spondyloarthritis Research and Treatment Network and Spondylitis Association of America (ACR-SPARTAN-SAA) treatment recommendations, interleukin (IL)-17 inhibitors are recommended in patients with axSpA in case of primary non-response to TNFi [15, 16]. Secukinumab, a human monoclonal antibody that directly inhibits IL-17A, has demonstrated sustained improvement in the signs and symptoms of AS over 5 years [17,18,19]. PREVENT is a phase III study of secukinumab in patients with active nr-axSpA [20]. In this study, secukinumab 150 mg significantly improved the signs and symptoms of nr-axSpA through week 52. Abnormal CRP levels and MRI evidence of inflammation in the SIJs at baseline may influence the efficacy of biologics in patients with axSpA, along with HLA-B27 status and sex [15, 21,22,23,24,25,26,27,28,29,30,31]. Elevated CRP, MRI evidence of SIJ inflammation, HLA-B27 positivity, and male sex are known predictors of better treatment response to biologic disease-modifying anti-rheumatic drugs (bDMARDs) [21,22,23,24,25,26,27,28,29,30,31]. It is therefore of particular interest to further elucidate the influence of these factors on the efficacy of secukinumab. Here, we report the results of an exploratory efficacy analysis through week 16 in patients grouped by CRP and/or MRI status (+/−), HLA-B27 status (+/−), and sex (male or female) at screening from the PREVENT study.

Methods

Study design

PREVENT (NCT02696031) was a 2-year randomized, double-blind, placebo-controlled phase III study with an extension phase of up to 2 years in patients with nr-axSpA. The study was conducted across 130 sites in 24 countries. Detailed inclusion and exclusion criteria and study design have been reported previously [20].

The study protocol was reviewed and approved by the independent ethics committee or institutional review board for each participating center. The study was conducted according to the International Council for Harmonization E6 Guideline for Good Clinical Practice that has its origin in the Declaration of Helsinki [32]. Written informed consent was obtained from all participants. Data were collected in accordance with the Good Clinical Practice guidelines by the study investigators and analyzed by the sponsor.

Participants

Patients (aged ≥ 18 years) with active axSpA fulfilling the ASAS classification criteria for nr-axSpA (inflammatory back pain for ≥ 6 months, disease onset at < 45 years of age and sacroiliitis on MRI with ≥ 1 SpA feature or HLA-B27+ status with ≥ 2 SpA features) plus objective signs of inflammation (MRI with SIJ inflammation [by central reading] and/or high-sensitivity CRP [hsCRP] levels of > upper limit of normal [ULN; hsCRP of > 5 mg/L as defined by the central laboratory]) were included. This eligibility criterion for MRI was based on a qualitative assessment (yes or no) from a single centralized read at baseline. At randomization, patients were stratified according to the objective signs of inflammation based on their CRP and MRI status (CRP+/MRI+, CRP+/MRI−, and CRP−/MRI+) at screening. CRP+ was defined as a value above ULN (hsCRP of > 5 mg/L) as determined by the central laboratory. MRI+ was defined by the presence of inflammatory lesions on the SIJs according to the ASAS-Outcome Measures in Rheumatology Clinical Trials (OMERACT) definition as assessed by a central reader [33].

The MRI scoring for the SIJ images was performed as defined in the imaging charter for the PREVENT study. As part of the screening process, the SIJ images were assessed by one of three reading experts assigned to the study for signs of inflammation. For the efficacy assessments, the SIJs were assessed according to the validated Berlin Active Inflammatory Lesions Scoring by two fully blinded independent central readers; the most discrepant cases (10%) were adjudicated by a third reader [34]. The mean baseline SIJ edema score using observed data for all patients was 2.5 for the secukinumab 150 mg with loading (150 mg LD) group, 2.1 for the secukinumab 150 mg without loading (150 mg NL) group, and 2.5 for the placebo group, thus ~ 10% of the total score (Berlin Active Inflammatory Lesions Scoring of 0–24). The median of the scores was ~ 2, and a cutoff of ≥ 2 was therefore used for the further subgroup analysis of patients with positive MRI findings at baseline.

Patients previously treated with a TNFi (no more than one) could participate if they had an inadequate response or were intolerant. Patients could continue to receive the following medications at a stable dose: sulfasalazine (≤ 3 g/day), methotrexate (≤ 25 mg/week), corticosteroids (≤ 10 mg/day prednisone or equivalent), and NSAIDs.

The key exclusion criteria included evidence of radiographic sacroiliitis per the modified New York criteria for AS (assessed centrally) and active ongoing inflammatory conditions other than axSpA. Details of the eligibility criteria have been published previously [20].

Interventions

Eligible patients were randomly (1:1:1) allocated to receive subcutaneous (s.c.) secukinumab 150 mg LD, s.c. secukinumab 150 mg NL, or placebo at baseline and weeks 1, 2, and 3, followed by every 4 weeks starting at week 4. The 150 mg NL group received placebo at weeks 1, 2, and 3 to maintain blinding. The treatment blinding for all investigators, site personnel, and patients was maintained until week 52.

Efficacy assessments

Exploratory efficacy assessments at week 16 included ASAS40, Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) 50, ASAS partial remission (PR), and Ankylosing Spondylitis Disease Activity Score-CRP (ASDAS-CRP) inactive disease (ID) response rates in the overall population independently grouped by MRI (+/−) status, CRP (+/−) status, HLA-B27 (+/−) status, and sex (male or female) at screening. Treatment difference in ASAS40 responses between secukinumab and placebo was assessed in patients grouped by MRI status (+/−), CRP status (+/−), HLA-B27 status (+/−), and sex (male or female) at screening. Efficacy assessments according to the randomization stratification (CRP+/MRI+, CRP+/MRI−, and CRP−/MRI+ at screening) included ASAS40, BASDAI50, ASAS PR, and ASDAS-CRP ID response rates and the mean change from baseline in total BASDAI and Bath Ankylosing Spondylitis Functional Index (BASFI) scores through week 16. The proportion of patients (male versus female) achieving ASAS40, BASDAI50, ASAS PR, and ASDAS-CRP ID responses was assessed for the subgroups through week 16. In addition, ASAS40, ASAS PR, and ASDAS-CRP ID response rates at week 16 were also assessed in the CRP−/MRI+ subgroup by screening the SIJ MRI scores (< 2 or ≥ 2).

Statistical analysis

Data for secukinumab are presented pooled (150 mg LD plus NL) versus placebo up to week 16. Subgroup analyses based on CRP, MRI, HLA-B27 status, and sex at screening are exploratory, and only the percentage response or the mean change from baseline data are presented. While the analyses were not powered for formal statistical testing, inferential statistics and estimated means and proportions with 95% confidence intervals (CIs) are presented for the interest of the reader. Notably, all P values presented are unadjusted for multiplicity. Analyses were performed on the full analysis set, which comprised all patients who were randomized and had study treatment assigned. The details of the sample size calculation and statistical analysis have been reported previously [20]. Missing values were imputed as non-responders for binary variables and via mixed-effects model repeated measures (valid under the missing at random assumption) for continuous variables up to week 16.

Results

Demographic and baseline disease characteristics were comparable across the treatment groups and reported previously [20]. At baseline, 54.1% (300/555) of the patients were female, 68.8% (382/555) were HLA-B27+, 56.9% (316/555) had elevated hsCRP levels (≥ 5 mg/L), and 73% (405/555) had SIJ inflammation on MRI. According to the stratification, 29.9% (166/555) of the overall population was CRP+/MRI+, 27.7% (154/555) was CRP+/MRI−, and 42.3% (235/555) was CRP−/MRI+. The median (minimum–maximum) hsCRP level (mg/L) was 12.2 (7.5–31.9) in the CRP+/MRI+ subgroup, 11.4 (7.7–28.4) in the CRP+/MRI− subgroup, and 2.2 (1.2–3.7) in the CRP−/MRI+ subgroup. The proportion of male and female patients by screening MRI scores (< 2 or ≥ 2) were 46.7% (< 2; 49/105) and 56.2% (< 2; 73/130), and 53.3% (≥ 2; 56/105) and 43.9% (≥ 2; 57/130), respectively, in the CRP−/MRI+ subgroup. The number of patients in the pooled secukinumab versus placebo group by sex for all subgroups is presented in Supplement Table S1. By week 24, 5% (28/555) of the patients had missing data.

The primary and all key secondary endpoints at week 16 were met and have been reported previously [20]. The proportion of patients achieving ASAS40, BASDAI50, ASAS PR, and ASDAS-CRP ID responses in the pooled secukinumab group versus the placebo group across the individual MRI, CRP, HLA-B27, and sex subgroups are shown in Table 1, with the highest responses observed in the CRP+, MRI+, HLA-B27+, and male subgroup at week 16.

Table 1 Key efficacy outcomes by independent subgroups at screening analyzed at week 16

Absolute treatment differences in ASAS40 responses at week 16 between pooled secukinumab and placebo by MRI, CRP, HLA-B27 status, and by sex are shown in Fig. 1. Treatment differences between secukinumab and placebo were highest in patients with MRI+ and CRP+ at screening (Fig. 1A). Treatment responses between secukinumab and placebo were comparable in patients who were HLA-B27− compared with those who were HLA-B27+ at screening with overlapping CIs (Fig. 1B). Treatment differences between secukinumab and placebo were higher in male patients compared with female patients (Fig. 1C).

Fig. 1
figure 1

Differences in the ASAS40 response between secukinumab and placebo at week 16. A MRI and CRP status. B HLA-B27 status. C sex at screening. ASAS, Assessment of SpondyloArthritis international Society; CRP, C-reactive protein; HLA, human leukocyte antigen; M, number of evaluable patients; MRI, magnetic resonance imaging

ASAS40 response at week 16 in the overall population who were CRP+/MRI+ at screening in the pooled secukinumab group was 52.3% compared with 21.8% (P < 0.0001) in the placebo group (Fig. 2). Corresponding response rates in the other two subgroups were 33.0% versus 29.4% (CRP+/MRI−) and 36.8% versus 31.3% (CRP−/MRI+) in the pooled secukinumab group versus the placebo group, respectively. ASAS40 response rates (pooled secukinumab versus placebo) by sex were broadly similar to the response rates observed in the overall population, with slightly lower responses in female patients (Supplement Table S2).

Fig. 2
figure 2

Proportion of patients achieving ASAS40 response in the overall population through week 16. *P < 0.0001, P < 0.001, §P < 0.01, P < 0.05 versus placebo. Data presented as NRI through week 16. ASAS, Assessment of SpondyloArthritis international Society; CRP, C-reactive protein; MRI, magnetic resonance imaging; N, total number of patients; NRI, non-responder imputation

ASAS PR response rates and additional outcome measures (BASDAI50 and ASDAS-CRP ID) across the three subgroups (CRP+/MRI+, CRP+/MRI−, and CRP−/MRI+) are shown in Fig. 3 and Supplement Table S3, respectively, with the greatest differences between the pooled secukinumab and placebo observed in the CRP+/MRI+ subgroup across the outcome variables. The most notable treatment differences between secukinumab and placebo were observed for ASAS PR and ASDAS-CRP ID.

Fig. 3
figure 3

Proportion of patients achieving ASAS PR response through week 16. P < 0.001, §P < 0.01, P < 0.05 versus placebo. Data presented as NRI through week 16. ASAS, Assessment of SpondyloArthritis international Society; CRP, C-reactive protein; MRI, magnetic resonance imaging; N, total number of patients; NRI, non-responder imputation; PR, partial remission

The mean change from baseline in BASDAI and BASFI scores at week 16 are shown in Fig. 4 and Supplement Table S3, respectively, with the greatest treatment differences between the pooled secukinumab and placebo observed in the CRP+/MRI+ subgroup. The proportion of patients (male versus female) achieving ASAS40, BASDAI50, ASAS PR, and ASDAS-CRP ID responses at week 16 across all subgroups are presented in Supplement Table S2. The proportion of patients achieving ASAS40, ASAS PR, and ASDAS-CRP ID responses at week 16 in the CRP−/MRI+ subgroup by screening SIJ MRI scores (< 2 or ≥ 2) are presented in Table 2. Those patients with a score of ≥ 2 consistently had higher efficacy responses to secukinumab, while responses to placebo were not affected by the baseline SIJ MRI score.

Fig. 4
figure 4

Improvement in BASDAI score through week 16. *P < 0.0001, P < 0.001, §P < 0.01 versus placebo. Data presented as MMRM through week 16. BASDAI, Bath Ankylosing Spondylitis Disease Activity Index; CRP, C-reactive protein; LS, least squares; MMRM, mixed-effects model repeated measures; MRI, magnetic resonance imaging; N, total number of patients

Table 2 Key efficacy outcomes at week 16 in the CRP−/MRI+ subgroup by screening SIJ MRI score

Discussion

This report of efficacy outcomes from a subgroup analysis of the PREVENT study assessed the efficacy of secukinumab in patients with nr-axSpA across important subgroups of CRP, MRI, and HLA-B27 status and in male and female patients. For the subgroup of patients with MRI+ at screening, the absolute treatment differences in the ASAS40 response between secukinumab and placebo were higher than those in the MRI− subgroup. A similar trend was observed in the CRP subgroups for the treatment differences between secukinumab and placebo in ASAS40 responses, with higher response rates noted for the CRP+ (> 5 mg/L) subgroup compared with those for the CRP− (≤5 mg/L) subgroup.

To further explore the combined influence of MRI+ and CRP+ status, additional efficacy analyses were conducted in patients stratified at randomization based on their CRP and MRI status (CRP+/MRI+, CRP+/MRI−, and CRP−/MRI+). Secukinumab provided numerically higher response rates versus placebo across subgroups, with the greatest treatment differences between secukinumab and placebo observed for ASAS PR and ASDAS-CRP ID. Placebo responses were higher in the single-positive subgroups (CRP+/MRI− or CRP−/MRI+) than in the double-positive subgroup (CRP+/MRI+) for ASAS40 and BASDAI50 up to week 16. Placebo responses were lower when looking at higher-hurdle endpoints such as ASAS PR and ASDAS-CRP ID in the single-positive subgroups (CRP+/MRI− or CRP−/MRI+). The definitive reasons for the high variability in placebo response cannot be speculated from the outcome of this post hoc analysis; however, this may be due to an expectation for the efficacy of biologics, particularly in biologic-naïve patients and owing to the subjective nature of the majority of the outcome measures used in axSpA studies [20]. As the cohort size of each treatment group was limited, data obtained from subgroup analyses for continuous outcomes (BASDAI or BASFI) may offer better interpretability compared with those for binary outcomes. Secukinumab-treated patients showed a consistent trend in terms of mean reduction in BASDAI or BASFI score across CRP/MRI subgroups over time through week 16 versus placebo.

To further validate the outcomes of these exploratory analyses in the single-positive subgroups and to better understand the data, we considered a threshold of MRI positivity. The data analysis based on screening SIJ MRI scores (< 2 or ≥ 2) in patients with a CRP−/MRI+ status suggests that patients with a higher level of inflammation of the SIJs at baseline experience higher relative efficacy compared to those with lesser SIJ inflammation, while placebo responses appear unaffected. This highlights the potential need for a review of the criteria used to evaluate and score SIJ edema by MRI.

According to the ASAS-EULAR treatment guideline, either an elevated CRP or positive MRI may be taken into consideration for bDMARD therapy in patients with axSpA, irrespective of the presence or absence of radiographic sacroiliitis [15]. Earlier studies with TNFi in patients with nr-axSpA have shown that elevated CRP and/or a positive MRI status at baseline had a significant impact on treatment response rates [15, 22, 27,28,29, 31]. Indeed, an elevated CRP level has been reported to be the strongest predictor and a positive MRI status, the second best predictor of treatment response to TNFi in both patients with r-axSpA and nr-axSpA [15, 22, 27, 28, 31]. In a pooled post hoc analysis from the pivotal MEASURE 1 and 2 studies, secukinumab provided a rapid and sustained improvement over 3 years across multiple clinical domains in patients with r-axSpA or AS irrespective of baseline CRP, with a greater response to treatment reported in patients with elevated CRP [35]. The results from the current post hoc analysis further confirm the importance of these parameters.

The HLA-B27 status has been reported to be a predictor of response to biologic therapy in patients with axSpA. The proportion of HLA-B27 positivity in this nr-axSpA population is 69%, which is slightly lower than previous studies [21, 22, 26,27,28, 31] and interestingly, ASAS40 responses appeared independent of the HLA-B27 status in the current analysis.

Evidence from other trials suggests that female patients with axSpA derive less efficacy from biologics compared with male patients, even though the disease burden at baseline is comparable or worse in female patients compared with that in male patients [22,23,24,25, 31]. In the current analysis, the disease burden was similar (mean baseline BASDAI score was 6.89 in males and 6.94 in females), and HLA-B27 positivity was 73% (185/255) in males and 66% (197/300) in females. The severity of SIJ edema by MRI was greater in males (mean baseline SIJ MRI score ≥ 2 was 53%) than in females (mean baseline SIJ MRI score ≥ 2 was 44%), indicating that males may be more prone to develop structural abnormalities in the course of the disease. While clinically meaningful efficacy was seen in both male and female patients, higher responses were consistently observed in males across all outcome measures. These results are consistent with the observations from other studies and support the recommendation for an individual assessment of sex-independent risk factors in patients with axSpA [22,23,24,25, 28, 36,37,38].

Limitations of these exploratory analyses included a relatively small number of patients in some of the individual subgroups. Thus, the analyses were not powered to derive definitive conclusions, but rather to explore trends as opposed to statistical analyses of significance. Therefore, the results need to be interpreted with caution. It should also be noted that > 90% of the population was TNFi-naïve and that the trial did not enroll patients with a CRP−/MRI− status. Further, the complex interaction between the factors contributing to treatment response is yet to be explored.

Conclusions

In summary, secukinumab improved the signs and symptoms of nr-axSpA across patient subgroups based on CRP (+/−) and/or MRI (+/−) status, HLA-B27 (+/−) status, and sex. The highest treatment differences between secukinumab and placebo were observed in patients with both elevated CRP levels and evidence of sacroiliitis on MRI, and in male patients, whereas the difference was minimal between HLA-B27 positive and negative subgroups. The results from these exploratory analyses further substantiate the primary and key secondary efficacy outcomes previously reported from the PREVENT study and provide additional evidence supporting the efficacy of secukinumab in patients with axSpA.

Availability of data and materials

The data sets generated during and/or analyzed at the end of the current study are not publicly available. Novartis is committed to sharing with qualified external researchers’ access to patient-level data and supporting clinical documents from eligible studies. These requests are reviewed and approved based on scientific merit. All data provided are anonymized to respect the privacy of patients who have participated in the trial in line with applicable laws and regulations. The data may be requested from the corresponding author of the manuscript.

Abbreviations

ACR:

American College of Rheumatology

AS:

Ankylosing spondylitis

ASAS:

Assessment of SpondyloArthritis international Society

ASDAS:

Ankylosing Spondylitis Disease Activity Score

axSpA:

Axial spondyloarthritis

BASDAI:

Bath Ankylosing Spondylitis Disease Activity Index

BASFI:

Bath Ankylosing Spondylitis Functional Index

bDMARDs:

Biologic disease-modifying anti-rheumatic drugs

CIs:

Confidence intervals

CRP:

C-reactive protein

EULAR:

European League Against Rheumatism

HLA:

Human leukocyte antigen

hsCRP:

High-sensitivity CRP

ID:

Inactive disease

IL:

Interleukin

LD:

Loading

MRI:

Magnetic resonance imaging

NL:

Without loading

nr-axSpA:

Non-radiographic axSpA

NSAIDs:

Non-steroidal anti-inflammatory drugs

OMERACT:

Outcome Measures in Rheumatology Clinical Trials

PR:

Partial remission

r-axSpA:

Radiographic axSpA

SAA:

Spondylitis Association of America

SIJs:

Sacroiliac joints

SPARTAN:

Spondyloarthritis Research and Treatment Network

TNFi:

Tumor necrosis factor inhibitors

ULN:

Upper limit of normal

References

  1. Stolwijk C, Boonen A, van Tubergen A, Reveille JD. Epidemiology of spondyloarthritis. Rheum Dis Clin N Am. 2012;38(3):441–76. https://doi.org/10.1016/j.rdc.2012.09.003.

    Article  Google Scholar 

  2. Sieper J, Poddubnyy D. Axial spondyloarthritis. Lancet. 2017;390(10089):73–84. https://doi.org/10.1016/S0140-6736(16)31591-4.

    Article  PubMed  Google Scholar 

  3. Deodhar A, Strand V, Kay J, Braun J. The term ‘non-radiographic axial spondyloarthritis’ is much more important to classify than to diagnose patients with axial spondyloarthritis. Ann Rheum Dis. 2016;75(5):791–4. https://doi.org/10.1136/annrheumdis-2015-208852.

    Article  PubMed  CAS  Google Scholar 

  4. Lockwood MM, Gensler LS. Nonradiographic axial spondyloarthritis. Best Pract Res Clin Rheumatol. 2017;31(6):816–29. https://doi.org/10.1016/j.berh.2018.08.008.

    Article  PubMed  Google Scholar 

  5. Poddubnyy D, Rudwaleit M. Early spondyloarthritis. Rheum Dis Clin N Am. 2012;38(2):387–403. https://doi.org/10.1016/j.rdc.2012.04.007.

    Article  Google Scholar 

  6. Sieper J, Braun J, Dougados M, Baeten D. Axial spondyloarthritis. Nat Rev Dis Primers. 2015;1(1):15013. https://doi.org/10.1038/nrdp.2015.13.

    Article  PubMed  Google Scholar 

  7. Burgos-Varga R, Wei JC, Rahman MU, Akkoc N, Haq SA, Hammoudeh M, et al. The prevalence and clinical characteristics of nonradiographic axial spondyloarthritis among patients with inflammatory back pain in rheumatology practices: a multinational, multicenter study. Arthritis Res Ther. 2016;18(1):132. https://doi.org/10.1186/s13075-016-1027-9.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  8. Protopopov M, Poddubnyy D. Radiographic progression in non-radiographic axial spondyloarthritis. Expert Rev Clin Immunol. 2018;14(6):525–33. https://doi.org/10.1080/1744666X.2018.1477591.

    Article  PubMed  CAS  Google Scholar 

  9. Malaviya AN, Rawat R, Agrawal N, Patil NS. The nonradiographic axial spondyloarthritis, the radiographic axial spondyloarthritis, and ankylosing spondylitis: the tangled skein of rheumatology. Int J Rheumatol. 2017;2017:1824794.

    Article  Google Scholar 

  10. Reveille JD, Weisman MH. The epidemiology of back pain, axial spondyloarthritis and HLA-B27 in the United States. Am J Med Sci. 2013;345(6):431–6. https://doi.org/10.1097/MAJ.0b013e318294457f.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Redeker I, Callhoff J, Hoffmann F, Haibel H, Sieper J, Zink A, et al. Determinants of diagnostic delay in axial spondyloarthritis: an analysis based on linked claims and patient-reported survey data. Rheumatology (Oxford). 2019;58:1634–8.

    Article  Google Scholar 

  12. Sykes MP. Doll H, Sengupta R, Gaffney Karl. Delay to diagnosis in axial spondyloarthritis: are we improving in the UK? Rheumatology (Oxford). 2015;54:2283–4.

    Google Scholar 

  13. Poddubnyy D, Rudwaleit M, Haibel H, Listing J, Märker-Hermann E, Zeidler H, et al. Rates and predictors of radiographic sacroiliitis progression over 2 years in patients with axial spondyloarthritis. Ann Rheum Dis. 2011;70(8):1369–74. https://doi.org/10.1136/ard.2010.145995.

    Article  PubMed  Google Scholar 

  14. Sieper J, van der Heijde D. Review: Nonradiographic axial spondyloarthritis: new definition of an old disease? Arthritis Rheum. 2013;65(3):543–51. https://doi.org/10.1002/art.37803.

    Article  PubMed  Google Scholar 

  15. van der Heijde D, Ramiro S, Landewe R, Baraliakos X, Van den Bosch F, Sepriano A, et al. 2016 update of the ASAS-EULAR management recommendations for axial spondyloarthritis. Ann Rheum Dis. 2017;76(6):978–91. https://doi.org/10.1136/annrheumdis-2016-210770.

    Article  PubMed  Google Scholar 

  16. Ward MM, Deodhar A, Gensler LS, Dubreuil M, Yu D, Asim MK, et al. 2019 Update of the American College of Rheumatology/Spondylitis Association of America/Spondyloarthritis Research and Treatment Network Recommendations for the Treatment of Ankylosing Spondylitis and Nonradiographic Axial Spondyloarthritis. Arthritis Rheumatol (Hoboken). 2019;71(10):1599–613. https://doi.org/10.1002/art.41042.

    Article  Google Scholar 

  17. Baeten D, Sieper J, Braun J, Baraliakos X, Dougados M, Emery P, et al. Secukinumab, an Interleukin-17A inhibitor, in ankylosing spondylitis. N Engl J Med. 2015;373(26):2534–48. https://doi.org/10.1056/NEJMoa1505066.

    Article  PubMed  CAS  Google Scholar 

  18. Baraliakos X, Braun J, Deodhar A, Poddubnyy D, Kivitz A, Tahir H, et al. Long-term efficacy and safety of secukinumab 150 mg in ankylosing spondylitis: 5-year results from the phase III MEASURE 1 extension study. RMD Open. 2019;5(2):e001005. https://doi.org/10.1136/rmdopen-2019-001005.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Marzo-Ortega H, Sieper J, Kivitz AJ, Blanco R, Cohen M, Pavelka K, et al. 5-year efficacy and safety of secukinumab in patients with ankylosing spondylitis: end-of-study results from the phase 3 MEASURE 2 trial. Lancet Rheumatol. 2020;2(6):e339–46. https://doi.org/10.1016/S2665-9913(20)30066-7.

    Article  Google Scholar 

  20. Deodhar A, Blanco R, Dokoupilová E, Hall S, Kameda H, Kivitz AJ, et al. Secukinumab improves signs and symptoms of non-radiographic axial spondyloarthritis: primary results of a randomized controlled phase III study. Arthritis Rheumatol (Hoboken). 2021;73:110–20.

    Article  CAS  Google Scholar 

  21. Deodhar A, van der Heijde D, Gensler LS, Kim TH, Maksymowych WP, Østergaard M, et al. Ixekizumab for patients with non-radiographic axial spondyloarthritis (COAST-X): a randomised, placebo-controlled trial. Lancet. 2020;395(10217):53–64. https://doi.org/10.1016/S0140-6736(19)32971-X.

    Article  PubMed  CAS  Google Scholar 

  22. Sieper J, van der Heijde D, Dougados M, Maksymowych WP, Scott BB, Boice JA, et al. A randomized, double-blind, placebo-controlled, sixteen-week study of subcutaneous golimumab in patients with active nonradiographic axial spondyloarthritis. Arthritis Rheumatol (Hoboken). 2015;7:2702–12.

    Article  Google Scholar 

  23. Deminger A, Klingberg E, Geijer M, Göthlin J, Hedberg M, Rehnberg E, et al. A five-year prospective study of spinal radiographic progression and its predictors in men and women with ankylosing spondylitis. Arthritis Res Ther. 2018;20(1):162. https://doi.org/10.1186/s13075-018-1665-1.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  24. Ortolan A, van Lunteren M, Ramiro S, Ramonda R, Landewé RBM, Dagfinrud H, et al. Are gender-specific approaches needed in diagnosing early axial spondyloarthritis? Data from the SPondyloArthritis Caught Early cohort. Arthritis Res Ther. 2018;20:218.

    Article  Google Scholar 

  25. Webers C, Essers I, Ramiro S, Stolwijk C, Landewé R, van der Heijde D, et al. Gender-attributable differences in outcome of ankylosing spondylitis: long-term results from the Outcome in Ankylosing Spondylitis International Study. Rheumatology (Oxford). 2016;55:419–28.

    Google Scholar 

  26. Maksymowych WP, Dougados M, van der Heijde D, Sieper J, Braun J, Citera G, et al. Clinical and MRI responses to etanercept in early non-radiographic axial spondyloarthritis: 48-week results from the EMBARK study. Ann Rheum Dis. 2016;75(7):1328–35. https://doi.org/10.1136/annrheumdis-2015-207596.

    Article  PubMed  CAS  Google Scholar 

  27. Dougados M, van der Heijde D, Sieper J, Braun J, Maksymowych WP, Citera G, et al. Symptomatic efficacy of etanercept and its effects on objective signs of inflammation in early nonradiographic axial spondyloarthritis: a multicenter, randomized, double-blind, placebo-controlled trial. Arthritis Rheumatol (Hoboken). 2014;66:2091–102.

    Article  CAS  Google Scholar 

  28. Sieper J, van der Heijde D, Dougados M, Mease PJ, Maksymowych WP, Brown MA, et al. Efficacy and safety of adalimumab in patients with non-radiographic axial spondyloarthritis: results of a randomised placebo-controlled trial (ABILITY-1). Ann Rheum Dis. 2013;72(6):815–22. https://doi.org/10.1136/annrheumdis-2012-201766.

    Article  PubMed  CAS  Google Scholar 

  29. van der Heijde D, Joshi A, Pangan AL, Chen N, Betts K, Mittal M, et al. ASAS40 and ASDAS clinical responses in the ABILITY-1 clinical trial translate to meaningful improvements in physical function, health-related quality of life and work productivity in patients with non-radiographic axial spondyloarthritis. Rheumatology (Oxford). 2016;55:80–8.

    Article  Google Scholar 

  30. Chung HY, Machado P, van der Heijde D, D’Agostino MA, Dougados M. HLA-B27 positive patients differ from HLA-B27 negative patients in clinical presentation and imaging: results from the DESIR cohort of patients with recent onset axial spondyloarthritis. Ann Rheum Dis. 2011;70(11):1930–6. https://doi.org/10.1136/ard.2011.152975.

    Article  PubMed  Google Scholar 

  31. Sieper J, Landewé R, Magrey M, Anderson JK, Zhong S, Wang X, et al. Predictors of remission in patients with non-radiographic axial spondyloarthritis receiving open-label adalimumab in the ABILITY-3 study. RMD Open. 2019;5(1):e000917. https://doi.org/10.1136/rmdopen-2019-000917.

    Article  PubMed  PubMed Central  Google Scholar 

  32. World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. JAMA. 2013;310(20):2191–4. https://doi.org/10.1001/jama.2013.281053.

  33. Rudwaleit M, Jurik AG, Hermann KG, Landewé R, van der Heijde D, Baraliakos X, et al. Defining active sacroiliitis on magnetic resonance imaging (MRI) for classification of axial spondyloarthritis: a consensual approach by the ASAS/OMERACT MRI group. Ann Rheum Dis. 2009;68(10):1520–7. https://doi.org/10.1136/ard.2009.110767.

    Article  PubMed  CAS  Google Scholar 

  34. Song IH, Hermann KG, Haibel H, Althoff CE, Poddubnyy D, Listing J, et al. Relationship between active inflammatory lesions in the spine and sacroiliac joints and new development of chronic lesions on whole-body MRI in early axial spondyloarthritis: results of the ESTHER trial at week 48. Ann Rheum Dis. 2011;70(7):1257–63. https://doi.org/10.1136/ard.2010.147033.

    Article  PubMed  Google Scholar 

  35. Braun J, Deodhar A, Landewé R, Baraliakos X, Miceli-Richard C, Sieper J, et al. Impact of baseline C-reactive protein levels on the response to secukinumab in ankylosing spondylitis: 3-year pooled data from two phase III studies. RMD Open. 2018;4(2):e000749. https://doi.org/10.1136/rmdopen-2018-000749.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Baraliakos X, Koenig AS, Jones H, Szumski A, Collier D, Bananis E. Predictors of clinical remission under anti-tumor necrosis factor treatment in patients with ankylosing spondylitis: pooled analysis from large randomized clinical trials. J Rheumatol. 2015;42(8):1418–26. https://doi.org/10.3899/jrheum.141278.

    Article  PubMed  CAS  Google Scholar 

  37. Hebeisen M, Neuenschwander R, Scherer A, Exer P, Weber U, Tamborrini G, et al. Response to tumor necrosis factor inhibition in male and female patients with ankylosing spondylitis: data from a Swiss cohort. J Rheumatol. 2018;45(4):506–12. https://doi.org/10.3899/jrheum.170166.

    Article  PubMed  CAS  Google Scholar 

  38. Brown MA, Bird PA, Robinson PC, Mease PJ, van den Bosch F, Surian C, et al. Evaluation of the effect of baseline MRI sacroiliitis and C reactive protein status on etanercept treatment response in non-radiographic axial spondyloarthritis: a post hoc analysis of the EMBARK study. Ann Rheum Dis. 2018;77(7):1091–3. https://doi.org/10.1136/annrheumdis-2017-211313.

    Article  PubMed  CAS  Google Scholar 

Download references

Acknowledgements

The authors thank the patients who participated in the study, the study investigators, and John Gallagher, Novartis Pharmaceuticals UK Limited, for the medical guidance and editorial support. HMO is supported by the National Institute for Health Research (NIHR) Leeds Biomedical Research Centre (LBRC). The views expressed are those of the authors and not necessarily those of the (UK) National Health Service (NHS), NIHR, or (UK) Department of Health. The first draft of the manuscript was written by medical writers, employed by the study sponsor (Niladri Maity and Kamalakkannan Narasimha Naidu, senior scientific writers, Novartis Healthcare Private Limited, India), under the guidance of the authors. Statistical analyses were performed by the statisticians employed by the study sponsor (Novartis Pharma AG, Basel, Switzerland).

Funding

The study was funded by Novartis Pharma AG, Basel, Switzerland.

Author information

Authors and Affiliations

Authors

Contributions

Study conception and design: JB, ASW, BOP, HBR, SH, and AD. Acquisition of the data: JB, RB, HMO, LSG, FvdB, SH, HK, DP, MvdS, and AD. Analysis of the data: ASW. Interpretation of the data: JB, RB, HMO, LSG, FvdB, SH, HK, DP, MvdS, ASW, BOP, AS, HBR, SH, and AD. All authors had access to the data and critically reviewed and provided feedback on the subsequent versions for important intellectual content of the manuscript. All authors approved the final version of the manuscript to be submitted for publication and vouch for the accuracy and completeness of the data and fidelity of this report to the study protocol.

Corresponding author

Correspondence to Jürgen Braun.

Ethics declarations

Ethics approval and consent to participate

The study protocol was reviewed and approved by the independent ethics committee or institutional review board for each participating center. The study was conducted according to the International Council for Harmonization E6 Guideline for Good Clinical Practice that has its origin in the Declaration of Helsinki. Written informed consent was obtained from all participants.

Consent for publication

Not applicable

Competing interests

JB reports grant/research support from AbbVie, Amgen, BMS, Boehringer, Celgene, Celltrion, Centocor, Chugai, Medac, MSD, Mundipharma, Novartis, Pfizer, Roche, Sanofi-Aventis, and UCB; consultation fees from AbbVie, Amgen, BMS, Boehringer, Celgene, Celltrion, Centocor, Chugai, EBEWE Pharma, Medac, MSD, Mundipharma, Novartis, Pfizer, Roche, Sanofi-Aventis, and UCB; and speakers bureau fees from AbbVie, Amgen, BMS, Boehringer, Celgene, Celltrion, Centocor, Chugai, EBEWE Pharma, Medac, MSD, Mundipharma, Novartis, Pfizer, Roche, Sanofi-Aventis, and UCB. RB reports research grants from AbbVie, MSD, and Roche; consulting fees from AbbVie, Pfizer, Roche, Bristol-Myers, Janssen, and MSD; and speakers bureau fees from AbbVie, Pfizer, Roche, Bristol-Myers, Janssen, MSD, and Eli Lilly. HMO reports grant/research support from Janssen and Novartis; is a consultant for AbbVie, Celgene, Janssen, Eli Lilly, Novartis, Pfizer, and UCB; and received speakers’ bureau fees from AbbVie, Celgene, Janssen, Lilly, Novartis, Pfizer, and UCB. LSG reports grant/research support from UCB, AbbVie, Amgen, Novartis, and Pfizer and consulting fees from Galapagos, Eli Lilly, Janssen, Novartis, Pfizer, and UCB. FVDB reports research grants, consultancy fees, or speaker honoraria from AbbVie, BMS, Celgene, Galapagos, Janssen, Eli Lilly, Merck, Novartis, Pfizer, and UCB. SH reports consulting or speaking fees from Novartis, Merck, Janssen, Pfizer, Eli Lilly, and UCB and research grants from AbbVie, UCB, Janssen, and Merck. HK reports grant/research support from AbbVie, Asahi-Kasei, Chugai, Eisai, Mitsubishi-Tanabe, and Novartis; consulting fees from AbbVie, Boehringer, Celgene, Eli Lilly, Janssen, Novartis, Sanofi, and UCB; and received speakers’ bureau fees from AbbVie, Asahi-Kasei, BMS, Chugai, Eisai, Eli Lilly, Janssen, Mitsubishi-Tanabe, Novartis, and Pfizer. DP reports research grants from AbbVie, Eli Lilly, MSD, Novartis, and Pfizer; consultation fees from AbbVie, BMS, Eli Lilly, MSD, Novartis, Pfizer, UCB, and Celgene; and speaker fees from AbbVie, BMS, Eli Lilly, MSD, Novartis, Pfizer, UCB, and Roche. MVDS reports grant/research support from Novartis, Eli Lilly, Boehringer Ingelheim, Janssen, and UCB; consultant fees from AbbVie, Novartis, Eli Lily, and MSD; and speaker fees from Novartis and MSD. ASW, BOP, AS, HBS, and SH are employees of Novartis and own Novartis stock. AD reports receiving honoraria for consulting or speaking for or research grants from AbbVie, Amgen, Boehringer Ingelheim, Celgene, Eli Lilly, Galapagos, GSK, Janssen, Novartis, Pfizer, and UCB.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1: Table S1.

Number of patients in each subgroup. Table S2. Key efficacy endpoints by subgroups and by gender at screening analysed at Week 16. Table S3. Additional efficacy endpoints in the subgroups analysed at Week 16.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Braun, J., Blanco, R., Marzo-Ortega, H. et al. Secukinumab in non-radiographic axial spondyloarthritis: subgroup analysis based on key baseline characteristics from a randomized phase III study, PREVENT. Arthritis Res Ther 23, 231 (2021). https://doi.org/10.1186/s13075-021-02613-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13075-021-02613-9

Keywords