Analysis of Factors Associated with the Health Assessment Questionnaire Score Change in Five Years

Shinji Yoshida¹, Katsunori Ikari², Kensuke Ochi³, Yoshiaki Toyama⁴, Atsuo Taniguchi⁵, Hisashi Yamanaka¹ and Shigeki Momohara¹, ¹Institute of Rheumatology, Tokyo Women's Medical University, Tokyo, Japan, ²Department of Orthopaedic Surgery, Institute of Rheumatology, Tokyo Women's Medical University, Shinjuku-ku, Japan, ³Department of Orthopaedic Surgery, Institute of Rheumatology, Tokyo Women's Medical University, Tokyo, Japan, ⁴Department of Orthopaedic Surgery, Keio University School of Medicine, Tokyo, Japan, ⁵Institute of Rheumatology, Tokyo Women’s Medical University, Tokyo, Japan

Meeting: 2012 ACR/ARHP Annual Meeting

Keywords: Health Assessment Questionnaire and rheumatoid arthritis (RA)

Session Information

Title: Rheumatoid Arthritis - Clinical Aspects III: Infections/Risk Factors for Incident Rheumatoid Arthritis/Metrology/Classification/Biomarkers/Predictors of Rheumatolid Arthritis Activity & Severity

Session Type: Abstract Submissions (ACR)

Background/Purpose:

The Health Assessment Questionnaire (HAQ) score is thought to be a disease specific tool for the assessment of inflammatory joint disorders including rheumatoid arthritis (RA). It is considered as the main and good functional outcome measure in RA. The purpose of this study was to find the factors associated with the magnitude of HAQ score change in five years from the baseline.

Methods:

We enrolled 4408 RA patients, who participated in the IORRA (Institute of Rheumatology RA cohort) from 2000 to 2004, and from whom the HAQ score was obtained at the baseline and five years later. From the IORRA database, we collected demographic, clinical and therapeutic data: rheumatoid factor (RF) positivity, age and body mass index (BMI) at the baseline; gender; year of onset; average disease activity score with 28-joint counts (DAS28) score in five years from the baseline. The HAQ score change is calculated as the Year 5 value minus the baseline. Factors associated with the HAQ score change were analyzed by multiple linear regression analysis adjusted for baseline HAQ score.

Results: The multiple linear regression analysis adjusted for baseline HAQ score revealed that the lower levels of average DAS28 score was most significantly associated with the better HAQ change in five years (Table 1). Recent onset of the disease, older age of onset and male sex are also associated with the better HAQ change, while RF positivity and BMI at the baseline are not associated with HAQ change.

Conclusion: The lower levels of average DAS28 score, recent onset of the disease, older age of onset and male sex are associated with the better HAQ change. The results of this study may help patients without these factors to get early and aggressive intervention.

Table 1.
Factor	Standardized regression coefficient	P value
RF	0.01	0.42
Average DAS28	0.26	<2e-16
Gender (female)	0.03	0.002
BMI	0.008	0.40
Year of onset	-0.12	<2e-16
Age	-0.07	5.0e-12

Disclosure:

S. Yoshida,
None;

K. Ikari,

Abbott Japan Co. Ltd.,

Eisai Co. Ltd.,

Mitsubishi Tanabe Pharma Corporation,

Janssen Pharmaceutical K.K. Japan,

Astellas Pharma Inc.,

Eli Lilly Japan K.K.,

K. Ochi,
None;

Y. Toyama,
None;

A. Taniguchi,
None;

H. Yamanaka,

Abbott Japan, Bristol-Myers Japan, Chugai Pharmaceutical Co. Ltd., Eisai Co. Ltd., Mitsubishi Tanabe Pharma, Takeda Pharmaceutical Co. Ltd., and Pfizer Japan Inc.,

Abbott Japan, Chugai Pharmaceutical Co. Ltd., Eisai Co. Ltd., Mitsubishi Tanabe Pharma, Takeda Pharmaceutical Co. Ltd., and Pfizer Japan Inc.,

IORRA study is supported by 40 pharmaceutical companies.,

S. Momohara,
None.

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