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Abstract Number: 643

Remission in Psoriatic Arthritis: Definition and Predictors

Samar AlHarbi1, Justine Y. Ye2, Ker-Ai Lee3, Vinod Chandran2, Richard J. Cook3 and Dafna D Gladman1, 1University of Toronto, Toronto Western Hospital, Toronto, ON, Canada, 2Rheumatology, University of Toronto, Toronto Western Hospital, Toronto, ON, Canada, 3Statistics and Actuarial Science, University of Waterloo, Waterloo, ON, Canada

Meeting: 2018 ACR/ARHP Annual Meeting

Keywords: psoriatic arthritis and remission

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Session Information

Date: Sunday, October 21, 2018

Title: Spondyloarthritis Including Psoriatic Arthritis – Clinical Poster I: Imaging, Clinical Studies, and Treatment

Session Type: ACR Poster Session A

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

Background/Purpose: No validated definition of remission exists for psoriatic arthritis (PsA) to date. We previously identified 17.6% of our patients as having remission (no actively inflamed joints for 12 months). However, we did not take into account the other domains of the disease. We aimed to test the concept of remission as the absence of disease manifestations in PsA, determine the frequency of remission in our PsA cohort, and identify predictors for remission.

Methods: Patients followed at the PsA clinic between 2000 and 2015 were included. Patients are assessed at 6- to 12-month intervals according to a standard protocol, which includes the information necessary for minimal disease activity (MDA) assessment. Remission was defined as a visit that patients had no tender or swollen joints, no inflammatory back pain, no tender entheseal sites, minimal skin involvement with BSA<1%, patient pain on visual analog scale (VAS) score of <15, patient global disease activity VAS score of <20, Health Assessment Questionnaire (HAQ) score <0.5.  We used imputation to determine remission status for each patient and did a sensitivity analysis including only visits with all information available. We fit a Weibull regression model with interval/right censored and left truncated data adjusted for sex and disease duration at baseline. Both multivariable full model and reduced model with Hazard Ratio (HR), 95% confidence interval (CI) estimates, and p-value are provided in Table1.

Results: 985 patients (57% males, mean age 47.4 yrs Table) were included. Using imputation 175 (18.2%) patients had remission at least once and 107 (10.9%) achieved sustained remission. For the sensitivity analysis, using only patients who had complete data, 109 (10.9%) patients achieved remission at least once, and 48 (4.9%) sustained remission for 2 consecutive visits. Using baseline variables with imputation, only BMI was significant and lowered the chance of remission. In the sensitivity analysis no baseline variables were significant. Using a model with time varying covariates higher BMI lowered the chance of remission, while use of biologics increases the chance of remission. Similar results were obtained with the sensitivity analysis.

Conclusion: We defined remission as a state of no clinical activity. Remission occurred in 18% of patients with PsA at least once and was sustained in 11%. High BMI reduced and use of  biologic agents increased the chance of sustained remission.

 

 

Table1. Weibull regression model for first remission, adjusted by gender and disease duration

Covariate

Multivariable full model

Multivariable reduced model

HR 95% CI

p-value

HR 95% CI

p-value

Age

1.02 (0.94, 1,11)

0.53

 

 

Age at Diagnosis of PsA

0.98 (0.90, 1.07

0.7048

 

 

BMI

0.97 (0.93, 1.00)

0.0824

0.96 (0.92, 0.99)

0.02

Axial

0.85 (0.85, 1.99)

0.2276

 

 

NSAIDs

0.71 (0.46, 1.10)

0.1224

 

 

DMARDs

1.14 (0.74, 1.75)

0.5592

 

 

Biologics

1.69 (1.11, 2.57)

0.0150

1.73 (1.15, 2.61)

0.009

Diabetes

0.57 (0.24, 1.34)

0.1984

 

 

Infection

1.60 (1.00, 2.56)

0.0518

 

 

Depression/Anxiety

0.60 (0.31, 1.16)

0.1302

 

 

Elevated ESR

0.68 (0.41, 1.13)

0.1400

 

 

Gender (male vs female)

1.10 (0.72, 1.68)

0.6696

1.10 (0.73, 1.67)

0.64

Disease Duration

0.95 (0.87, 1.04)

0.2967

0.97 (0.95, 1.00)

0.05

CI – confidence interval; BMI-Body Mass Index; NSAIDs- nonsteroidal anti-inflammatory drugs; DMARDs- disease modifying anti-rheumatic drugs; ESR- erythrocyte sedimentation rate

 

Table 2. Weibull regression model for sustained remission, adjusted by gender and disease duration

Covariate

Multivariate Full model

Multivariate reduced model

HR (95% CI)

p-value

HR (95% CI)

p-value

Age

1.19 (1.08, 1.30)

0.0002

 

 

Age at Diagnosis of PsA

0.86 (0.79, 0.94)

0.0012

 

 

BMI

0.97 (0.93, 1.02)

0.2199

 

 

Axial

0.72 (0.44, 1.19)

0.1989

 

 

NSAIDs

0.74 (0.45, 1.21)

0.2358

 

 

DMARDs

0.78 (0.48, 1.26)

0.3052

 

 

Biologics

2.11 (1.29, 3.47)

0.0030

1.76 (1.10, 2.84)

0.0195

Diabetes

0.82 (0.36, 1.86)

0.6308

 

 

Heart Condition

0.66 (0.09, 4.81)

0.6786

 

 

Infection

0.92 (0.48, 1.75)

0.7927

 

 

Depression/Anxiety

0.52 (0.24, 1.15)

0.1062

 

 

Elevated ESR

0.77 (0.44, 1.35)

0.3634

 

 

Gender (male vs female)

1.18 (0.72, 1.93)

0.5096

1.27 (0.78, 2.05)

0.3317

Disease Duration

0.82 (0.74, 0.90)

<0.0001

0.96 (0.93, 1.00)

0.0239

CI – confidence interval; BMI-Body Mass Index; NSAIDs- nonsteroidal anti-inflammatory drugs; DMARDs- disease modifying anti-rheumatic drugs; ESR- erythrocyte sedimentation rate

 


Disclosure: S. AlHarbi, None; J. Y. Ye, None; K. A. Lee, None; V. Chandran, AbbVie Inc., 2,AbbVie Inc., amgen, celgene, eli lilly, Janssen, Novartis, Pfizer and UCB, 5,Eli Lilly and Co., 9; R. J. Cook, None; D. D. Gladman, Amgen, AbbVie, Celgene, Eli Lilly, Janssen, Novartis, Pfizer and UCB, 2,Amgen, AbbVie, BMS, Celgene, Eli Lilly, Janssen, Novartis, Pfizer and UCB, 5.

To cite this abstract in AMA style:

AlHarbi S, Ye JY, Lee KA, Chandran V, Cook RJ, Gladman DD. Remission in Psoriatic Arthritis: Definition and Predictors [abstract]. Arthritis Rheumatol. 2018; 70 (suppl 9). https://acrabstracts.org/abstract/remission-in-psoriatic-arthritis-definition-and-predictors/. Accessed .
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