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Abstract Number: 2546

The Association between Patient Reported Outcomes and Clinical Measures Among Rheumatoid Arthritis Patients: Analyses Using Phase 3 Clinical Trials of Upadacitinib

Vibeke Strand1, Nemanja Damjanov2, Craig Scoville3, Namita Tundia4, Heidi S. Camp4, Kun Chen4, Jessica Suboticki4 and Ronald van Vollenhoven5, 1Division of Immunology/Rheumatology, Stanford University, Palo Alto, CA, 2Institute of Rheumatology, Belgrade University School of Medicine, Belgrade, Serbia, 3Idaho Falls Arthritis Clinic, Idaho Falls, ID, 4AbbVie Inc., North Chicago, IL, 5Amsterdam Rheumatology and Immunology Center ARC, Amsterdam, Netherlands

Meeting: 2018 ACR/ARHP Annual Meeting

Keywords: Clinical Response, DMARDs, Janus kinase (JAK), PRO and rheumatoid arthritis (RA)

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Session Information

Date: Tuesday, October 23, 2018

Title: Rheumatoid Arthritis – Treatments Poster III: Biosimilars and New Compounds

Session Type: ACR Poster Session C

Session Time: 9:00AM-11:00AM

Background/Purpose: Patient-reported outcomes (PROs) in RA are important to evaluate total disease impact, although treatment decisions may often be guided by traditional physician-derived measures of disease activity. The purpose of this analysis was to determine the association between PROs and composite outcomes in RA patients receiving the JAK1-selective inhibitor, upadacitinib (UPA), with prior inadequate responses (IR) to conventional synthetic (cs) or biologic (b) DMARD(s).

Methods: Data were analyzed from two 12-week (wk), phase 3, RCTs in csDMARD-IR (SELECT-NEXT) and bDMARD-IR (SELECT-BEYOND) patients receiving UPA 15 or 30 mg daily (QD) or placebo and background csDMARD therapy; as well as from a third trial (SELECT-MONOTHERAPY), in which MTX-IR patients received UPA monotherapy or MTX (blinded) for 14 wks. Moderate and substantial improvements in pain (≥30% and ≥50% improvement from baseline [Δ BL], respectively), and normative values in HAQ-DI (≤0.25) and functional assessment of chronic illness therapy-fatigue (FACIT-F: ≥43.6, SELECT-NEXT only) were evaluated. Associations between clinical outcomes (total and swollen joint counts [TJC, SJC], physician global assessment [MDGA], CRP and composite measures [ACR, DAS28-CRP, CDAI]), and PROs (pain [VAS], HAQ-DI, patient global assessment [PtGA], morning stiffness, FACIT-F) were evaluated through Pearson correlations and a univariate logistic model, controlling for treatment group and BL value.

Results: Patients enrolled in the SELECT-NEXT and SELECT-BEYOND trials had moderate to severely active RA (mean DAS28-CRP: 5.6 and 5.8, respectively), with disease durations of 7 and 12 years, respectively. In general, ΔBL in pain and HAQ-DI scores were marginally correlated with individual physician-derived measures (SELECT-NEXT: pain, 0.161-0.537, HAQ-DI, 0.081-0.425; SELECT-BEYOND: pain, 0.131-0.511, HAQ-DI, 0.052-0.409); moreover, moderate to high correlations were observed between pain, HAQ-DI and PtGA in both RCTs (SELECT-NEXT: pain, 0.835-0.851, HAQ-DI, 0.418-0.518; SELECT-BEYOND: pain, 0.828-0.871, HAQ-DI, 0.479-0.520). In regression analyses, improvements in individual disease assessments were associated with significant improvements in pain at Wk12 across RCTs (Table). In addition, patients with improvement in composite measures were more likely to report substantial improvements in pain. Similar associations were evident for HAQ-DI scores at Wk12 across RCTs (including SELECT-MONOTHERAPY), as well as for FACIT-F in SELECT-NEXT.

Conclusion: Achieving substantial improvements in pain, physical function, and fatigue was associated both with individual physician-derived measures and with composite disease outcomes. These data support the use of PROs in RCTs and also imply that, although PROs may be included in composite endpoints, they are distinct parameters that provide additional insights into the true impact of RA.

Table. Association between PROs and clinical outcomes

SELECT-NEXT (csDMARD-IR)

SELECT-BEYOND (bDMARD-IR)

Substantial improvement in pain (≥50%)

Normative HAQ-DI (≤0.25)

Normative FACIT-fatigue (≥43.6)

Substantial improvement in pain (≥50%)

Normative HAQ-DI (≤0.25)

Improvement from baseline to wk 12, Odds ratio (95% CI)

TJC68

1.04

(1.03–1.06)***

1.05

(1.03–1.07)***

1.04

(1.02–1.05)***

1.04

(1.02–1.06)***

1.04

(1.02–1.06)***

SJC66

1.04

(1.02–1.06)***

1.05

(1.02–1.07)***

1.04

(1.01–1.06)**

1.04

(1.02–1.07)***

1.05

(1.02–1.08)**

MDGA

1.04

(1.03–1.05)***

1.03

(1.02–1.04)***

1.04

(1.02–1.05)***

1.03

(1.02–1.04)***

1.05

(1.03–1.07)***

hsCRP

1.02

(1.01–1.03)***

1.02

(1.01–1.04)***

1.02

(1.01–1.03)**

1.01

(1.00–1.02)*

1.02

(1.01–1.04)**

HAQ-DI

6.98

(4.63–10.53)***

NE

6.56

(4.12–10.45)***

8.76

(5.30–14.50)***

NE

PtGA

1.11

(1.09–1.14)***

1.04

(1.03–1.05)***

1.04

(1.03–1.05)***

1.10

( 1.08–1.12)***

1.04

(1.03–1.06)***

AM stiffness duration

1.00

(1.000–1.00)**

1.00

(1.00–1.00)**

1.00

(1.00–1.00)

1.00

(1.00–1.01)***

1.00

(1.00–1.00)*

AM stiffness severity

1.56

(1.43–1.70)***

1.34

(1.22–1.48)***

1.36

(1.24–1.48)***

1.66

(1.50–1.84)***

1.69

(1.45–1.97)***

Response at wk 12, odds ratio (95% CI)

ACR20

12.67

(8.18–19.64)***

8.81

(4.88–15.91)***

4.98

(3.06–8.11)***

13.30

(7.95–22.25)***

7.84

(3.39–18.12)***

ACR50

38.57

(22.94–64.86)***

8.52

(5.02–14.46)***

5.22

(3.31–8.23)***

60.15

(30.64–118.06)***

12.18

(5.79–25.65)***

ACR70

62.59

(22.49–174.16)***

14.35

(7.84–26.29)***

7.31

(4.31–12.40)***

96.16

(22.97–402.56)***

14.47

(6.73–31.14)***

DAS28-CRP ≤3.2

11.27

(7.56–16.78)***

6.75

(4.07–11.18)***

3.95

(2.53–6.15)***

9.43

(5.90–15.07)***

7.09

(3.52–14.30)***

DAS28-CRP <2.6

11.07

(6.85–17.90)***

4.75

(2.93–7.71)***

3.99

(2.53–6.32)***

12.11

(6.91–21.23)***

7.39

(3.85–14.18)***

CDAI ≤10

12.36

(8.09–18.87)***

4.75

(2.97–7.58)***

3.61

(2.34–5.57)***

12.99

(7.83–21.53)***

8.76

(4.44–17.29)***

CDAI ≤2.8

27.90

(8.43–92.30)***

6.18

(3.07–12.45)***

9.14

(4.44–18.82)***

NE

6.76

(3.01–15.20)***

Odds ratio, 95% CI, and P-values were calculated using univariate logistic regression model with treatment group, baseline value, and corresponding clinical outcome. ***, **, and * statistically significant at <0.001, <0.01, and <0.05 levels, respectively. NE, estimate not possible.


Disclosure: V. Strand, AbbVie, Amgen, AstraZeneca, BMS, Celgene, Genentech, GSK, Janssen, Lilly, Novartis, Pfizer, Regeneron, Sanofi, and UCB, 5, 9; N. Damjanov, AbbVie, Gedeon Richter, Merck, Novartis, Pfizer and Roche,, 2, 5, 9; C. Scoville, AbbVie Inc., 8; N. Tundia, AbbVie Inc., 1, 3; H. S. Camp, AbbVie Inc., 1, 3; K. Chen, AbbVie Inc., 1, 3; J. Suboticki, AbbVie Inc., 1, 3; R. van Vollenhoven, AbbVie, Amgen, Bristol-Myers Squibb, GlaxoSmithKline, Pfizer, Roche, and UCB, 2,AbbVie, AstraZeneca, Biotest, Bristol-Myers Squibb, Celgene, Crescendo, GlaxoSmithKline, Janssen, Lilly, Merck, Novartis, Pfizer, Roche, UCB, and Vertex, 5, 9.

To cite this abstract in AMA style:

Strand V, Damjanov N, Scoville C, Tundia N, Camp HS, Chen K, Suboticki J, van Vollenhoven R. The Association between Patient Reported Outcomes and Clinical Measures Among Rheumatoid Arthritis Patients: Analyses Using Phase 3 Clinical Trials of Upadacitinib [abstract]. Arthritis Rheumatol. 2018; 70 (suppl 9). https://acrabstracts.org/abstract/the-association-between-patient-reported-outcomes-and-clinical-measures-among-rheumatoid-arthritis-patients-analyses-using-phase-3-clinical-trials-of-upadacitinib/. Accessed .
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