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Abstract Number: 346

What Are We Measuring? Influence of Contextual Factors on RAPID3 Scores in Psoriatic Arthritis

Alexis Ogdie1, Christine Willinger2, M. Elaine Husni3, Jose U. Scher4, Soumya M. Reddy5 and Jessica A. Walsh6, 1Medicine/Rheumatology and Epidemiology, University of Pennsylvania, Philadelphia, PA, 2University of Pennsylvania, Philadelphia, PA, 3Cleveland Clinic, Cleveland, OH, 4New York University School of Medicine, New York, NY, 5Department of Medicine, Division of Rheumatology *contributed equally, New York University School of Medicine, New York, NY, 6Division of Rheumatology, University of Utah, Salt Lake City, UT

Meeting: 2017 ACR/ARHP Annual Meeting

Date of first publication: September 18, 2017

Keywords: Epidemiologic methods, patient outcomes and psoriatic arthritis

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Session Information

Date: Sunday, November 5, 2017

Title: Patient Outcomes, Preferences, and Attitudes Poster I

Session Type: ACR Poster Session A

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

Background/Purpose: Patient reported outcomes (PRO) provide valuable insights into patientsÕ perceptions of their disease and overall health and function, and these perceptions influence management of their disease.  The objective of this study was to examine patient factors (also termed Òcontextual factorsÓ) that may be associated with the Routine Index of Patient Data (RAPID3) score among patients with psoriatic arthritis (PsA).

Methods: Patients with PsA were enrolled in the Psoriatic Arthritis Research Consortium (PARC) between 2015-2016.  PARC is a longitudinal observational cohort study conducted at four institutions in the United States: University of Pennsylvania, Cleveland Clinic, New York University, and University of Utah. Only baseline data are included in this cross-sectional analysis. Potential contextual factors were defined prior to statistical testing. A contextual factor is defined by OMERACT as a Òvariable that is not an outcome of the study but needs to be recognized and measured in order to understand the study results.Ó  We examined the association between potential contextual factors and RAPID3 scores using univariable linear regression models.  Variables significant at the univariable stage (defined as p<0.05) were included in multivariable linear regression models.  A final model to identify factors with an independent relationship with RAPID3 score after accounting for disease activity (e.g., swollen and tender joint counts, skin global assessment, enthesitis) was formed using backwards selection.

Results: Among the four centers, 401 patients were enrolled; 55% were female, mean age was 51.3, and 76% identified as Caucasian. Using RAPID3 cut-offs designed for RA, the mean disease activity (9.0, SD 6.7) would be categorized as Òmoderate.Ó Contextual factors significantly associated with RAPID3 score were female sex, current alcohol use, body mass index (BMI), depression, education level, and insurance status.  In a multi-variable model insurance status, depression and BMI were most strongly associated with RAPID3 score, after accounting for PsA disease activity.  These factors were similarly associated with the individual components of the RAPID3 (physical function, global assessment, and pain).

Conclusion: In PsA, the RAPID3 score is influenced by depression, insurance status, and obesity.  These factors must be taken into account when using RAPID3 in clinical practice. Additionally, treating depression and improving obesity may be potential targets for improving the overall perception of disease in patients with PsA.

Table. Univariable and Multivariable Associations with RAPID3 scores

Univariable

Multivariable*

Factor

Beta-coefficient (95%CI)

p-value

Beta-coefficient (95%CI)

p-value

Age

0.002 (-0.05-0.06)

NS

Female vs Male

2.39 (0.92-3.86)

<0.001

1.32 (-0.42-3.05)

0.14

Smoking (ever vs never)

1.22 (-0.42-2.86)

NS

Alcohol (current use)

-2.12 (-3.66–0.58)

0.01

Body Mass Index

0.23 (0.12-0.34)

<0.001

0.16 (0.04-0.29)

0.01

Depression

4.09 (2.36-5.82)

<0.001

2.93 (0.94-4.92)

<0.001

History of Diabetes

0.89 (-1.34-3.12)

NS

History of Cardiovascular disease

1.85 (-0.01-3.71)

NS

Race

Caucasian

REF

Black/African American

4.77 (-0.62-10.16)

NS

Native American

2.23 (-7.04-11.5)

NS

Asian

-3.01 (-7.43-1.42)

NS

Hispanic/Latino

3.45 (-2.44-9.34)

NS

Other

2.59 (-1.84-7.01)

NS

Education

No college degree

REF

College

-2.5 (-4.88–0.13)

0.04

Post-graduate

-5.24 (-7.92–2.56)

<0.001

Insurance

Uninsured

REF

Medicare/medicaid

-11.63 (-20.94–2.32)

0.02

-10.47 (-18.66–2.27)

0.01

Private

-15.88 (-25.03–6.72)

<0.001

-13.78 (-21.8–5.76)

<0.001

Both

-15.28 (-24.94–5.61)

<0.001

-14.62 (-23.13–6.11)

<0.001

Work

Full Time

Part time

2.73 (-0.8-6.25)

NS

Disabled/sick leave

7.26 (4.23-10.3)

<0.001

Student

3.83 (-1.65-9.31)

NS

Homemaker

0.18 (-3.34-3.71)

NS

Retired

1.89 (-1.05-4.82)

NS

Looking for work

-2.2 (-9.83-5.43)

NS

PsA duration (years)

-0.04 (-0.11-0.03)

NS

PsO duration (years)

-0.02 (-0.07-0.03)

NS

Center

0.8 (0.24-1.36)

0.01

Disease/Outcome factors

   Inflam Back Pain

-0.04 (-2.49-2.41)

NS

   ASAS classification

0.68 (-2.05-3.41)

NS

   Skin Physician Global

0.72 (0.36-1.07)

<0.001

   Enthesitis Count

2.13 (1.09-3.17)

<0.001

   Total swollen joints

0.74 (0.5-0.97)

<0.001

0.48 (0.19-0.77)

<0.001

   Total tender joints

0.39 (0.26-0.51)

<0.001

0.16 (0-0.31)

0.04

   Nail dystrophy

-1.06 (-3.53-1.41)

NS

The β-coefficients can be interpreted as the difference in the mean PRO score between the two groups. The 95% confidence intervals do not include 0 (no difference). CIs that do not cross 0 indicate statistical difference.

Prevalence of obesity was 42%, depression 19%, diabetes 10% and cardiovascular disease 18%.

Sex was specifically included in the previous model given others studies reporting an association between sex and patient reported outcome scores.

*All other items that were not significant in the multivariable models were removed.


Disclosure: A. Ogdie, Pfizer, Novartis, 2,Takeda, Pfizer, Novartis, 5; C. Willinger, None; M. E. Husni, Celgene, AbbVie, Genentech, Bristol-Myers Squibb, Pfizer, Novartis, and Janssen, 9; J. U. Scher, NIAMS-NIH, 2; S. M. Reddy, Eli Lilly and Company, 5; J. A. Walsh, Novartis, 5.

To cite this abstract in AMA style:

Ogdie A, Willinger C, Husni ME, Scher JU, Reddy SM, Walsh JA. What Are We Measuring? Influence of Contextual Factors on RAPID3 Scores in Psoriatic Arthritis [abstract]. Arthritis Rheumatol. 2017; 69 (suppl 10). https://acrabstracts.org/abstract/what-are-we-measuring-influence-of-contextual-factors-on-rapid3-scores-in-psoriatic-arthritis/. Accessed .
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