OMERACT Filter 2.1 Instrument Selection for Physical Function Domain in Psoriatic Arthritis: Provisional Endorsement for HAQ-DI and SF-36 PF

Bimekizumab provided rapid improvements in patient-reported symptoms and health-related quality of life in patients with active psoriatic arthritis: pooled 16-week results from two phase 3 studies

OBJECTIVES

To assess impact of bimekizumab treatment on patient-reported outcomes and health-related quality of life (HRQoL) in patients with active psoriatic arthritis (PsA), using 16-week data from two phase 3 studies.

METHODS

BE OPTIMAL (NCT03895203; biologic disease-modifying antirheumatic drug (bDMARD)-naïve) and BE COMPLETE (NCT03896581; tumour necrosis factor inhibitor inadequate response/intolerance (TNFi-IR)) are phase 3 studies of subcutaneous bimekizumab 160 mg Q4W; both were double-blind and placebo-controlled to 16 weeks. Patients were randomised 3:2:1 to bimekizumab, placebo or reference (subcutaneous adalimumab 40 mg Q2W) in BE OPTIMAL; 2:1 to bimekizumab or placebo in BE COMPLETE. Patient-reported outcomes for pain, fatigue, physical function and HRQoL are reported to week 16 using pooled and individual study data for bimekizumab and placebo patients.

RESULTS

1073/1112 (96.5%) patients completed week 16 (bimekizumab:‍ 677/698 [97.0%]; placebo: 396/414 [95.7%]). Bimekizumab-treated patients achieved rapid improvements vs placebo in pain, fatigue, physical function and HRQoL by week 4, after a single dose. Improvements continued to week 16 for all patient-reported outcomes, including Pain Visual Analogue Scale (VAS; mean (95% CI) change from baseline: bimekizumab: -‍25.2 [-27.2, -23.1]; placebo:‍ -‍5.7 [-8.2, -3.3]) and FACIT-Fatigue (bimekizumab: 4.5 [3.9, 5.1]; placebo: 1.1 [0.3, 2.0]); both nominal p<0.001. Greater proportions of bimekizumab-treated patients achieved minimal clinically important differences for patient-reported symptoms vs placebo, including FACIT-Fatigue (bimekizumab: 53.1%; placebo: 36.3%) and HAQ-DI (bimekizumab:‍ 53.0%; placebo: 28.7%); both nominal p<0.001.

CONCLUSION

Bimekizumab treatment demonstrated rapid and greater improvements in patient-reported pain, fatigue, physical function and HRQoL to week 16 vs placebo in bDMARD-naïve and TNFi-IR patients.

TRIAL REGISTRATION NUMBER

ClinicalTrials.gov: NCT03895203; NCT03896581.

Effect of bimekizumab on patient-reported disease impact in patients with psoriatic arthritis: 1-year results from two phase 3 studies

OBJECTIVES

To evaluate 1-year bimekizumab efficacy in PsA from the patient perspective using the 12-item PsA Impact of Disease (PsAID-12) questionnaire.

METHODS

BE OPTIMAL (NCT03895203; biologic DMARD [bDMARD]-naïve), BE COMPLETE (NCT03896581; inadequate response/intolerance to TNF inhibitors [TNFi-IR]) and BE VITAL (NCT04009499; open-label extension) assessed bimekizumab 160 mg every 4 weeks in patients with PsA. Post hoc analyses of patient-reported disease impact, assessed by the PsAID-12 questionnaire, are reported to 1 year (collected to Week 40 in BE COMPLETE).

RESULTS

Overall, 1,112 total patients were included (698 bimekizumab, 414 placebo). Rapid improvements observed with bimekizumab treatment at Week 4 continued to Week 16 and were sustained to 1 year. At 1 year, mean (SE) change from baseline in PsAID-12 total score was comparable between bimekizumab-randomized patients and patients who switched to bimekizumab at Week 16 (bDMARD-naïve bimekizumab -2.3 [0.1], placebo/bimekizumab -2.2 [0.1]; TNFi-IR bimekizumab -2.5 [0.1], placebo/bimekizumab -2.2 [0.2]). Proportions of bimekizumab-randomized patients achieving clinically meaningful within-patient improvement (≥3-point decrease from baseline) at Week 16 were sustained to 1 year (bDMARD-naïve 49.0%; TNFi-IR 48.5%) and were similar for placebo/bimekizumab patients (bDMARD-naïve 44.4%; TNFi-IR 40.6%). Across studies and arms, 35.3% to 47.8% of patients had minimal or no symptom impact at 1 year. Improvements were observed to 1 year across all single-item domains, including pain, fatigue and skin problems.

CONCLUSION

Bimekizumab treatment resulted in rapid and sustained clinically meaningful improvements in disease impact up to 1 year in bDMARD-naïve and TNFi-IR patients with PsA.

TRIAL REGISTRATION

BE OPTIMAL: NCT03895203; BE COMPLETE: NCT03896581; BE VITAL: NCT04009499 (ClinicalTrials.gov).

Proceedings of the GRAPPA 2022 Executive Retreat

The Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) leadership congregated for a strategic planning meeting before the 2022 GRAPPA annual meeting in New York, USA. Meeting aims were to review GRAPPA's performance in relation to its 2016 goals and identify successes and areas for further improvement, identify key GRAPPA priorities and activities for the next 5 years, and explore committee structures to best support these aims.

Characteristics associated with the perception of high-impact disease (PsAID ≥4) in patients with recent-onset psoriatic arthritis. Machine learning-based model

OBJECTIVES

To evaluate which patient and disease characteristics are associated with the perception of high-impact disease (PsAID ≥4) in recent-onset psoriatic arthritis.

METHODS

We performed a multicenter observational prospective study (2-year follow-up, regular annual visits). The study population comprised patients aged ≥18 years who fulfilled the CASPAR criteria and less than 2 years since the onset of symptoms. The dataset was generated using data for each patient at the 3 visits (baseline, first year, and second year of follow-up) matched with the PsAID values at each of the 3 visits. PsAID was categorized into two groups (<4 and ≥4). We trained a logistic regression model and random forest-type and XGBoost machine learning algorithms to analyze the association between the outcome measure and the variables selected in the bivariate analysis. A k-fold cross-validation with k = 5 was performed.

RESULTS

The sample comprised 158 patients. Of the patients who attended the clinic, 45.8% scored PsAID ≥4 at baseline; 27.1%, at the first follow-up visit, and in 23.0%, at the second follow-up visit. The variables associated with PsAID ≥4 were, in decreasing order of importance: HAQ, pain, educational level, and physical activity. Higher HAQ (logistic regression coefficient 10.394; IC95% 7.777,13.011), higher pain (5.668; 4.016, 7.320), lower educational level (-2.064; -3.515, -0.613) and high level of physical activity (1.221; 0.158, 2.283) were associated with a higher frequency of PsAID ≥4. The mean values of the measures of validity of the algorithms were all ≥85%.

CONCLUSIONS

Despite the higher weight given to pain when scoring PsAID, we observed a greater influence of physical function on disease impact.

The evolution of instrument selection for inclusion in core outcome sets at OMERACT: Filter 2.2

INTRODUCTION

OMERACT uses an evidence-based framework known as the 'OMERACT Filter Instrument Selection Algorithm' (OFISA) to guide decisions in the assessment of outcome measurement instruments for inclusion in a core outcome set for interventional and observational clinical trials.

METHODS

A group of OMERACT imaging and patient-centered outcome methodologists worked with imaging outcome groups to facilitate the selection of imaging outcome measurement instruments using the OFISA approach. The lessons learned from this work influenced the evolution to Filter 2.2 and necessitated changes to OMERACT's documentation and processes.

RESULTS

OMERACT has revised documentation and processes to incorporate the evolution of instrument selection to Filter 2.2. These revisions include creation of a template for detailed definitions of the target domain which is a necessary first step for instrument selection, modifications to the Summary of Measurement Properties (SOMP) table to account for sources of variability, and development of standardized reporting tables for each measurement property.

CONCLUSIONS

OMERACT Filter 2.2 represents additional modifications of the OMERACT guide for working groups in their rigorous assessment of measurement properties of instruments of various types, including imaging outcome measurement instruments. Enhanced reporting aims to increase the transparency of the evidence base leading to judgements for the endorsement of instruments in core outcome sets.