RT Journal Article
SR Electronic
T1 Health assessment questionnaire score is the best predictor of 5-year quality of life in early rheumatoid arthritis.
JF The Journal of Rheumatology
JO J Rheumatol
FD The Journal of Rheumatology
SP 1936
OP 1941
VO 33
IS 10
A1 Jean-David Cohen
A1 Maxime Dougados
A1 Philippe Goupille
A1 Alain Cantagrel
A1 Olivier Meyer
A1 Jean Sibilia
A1 Jean-Pierre Daurès
A1 Bernard Combe
YR 2006
UL http://www.jrheum.org/content/33/10/1936.abstract
AB OBJECTIVE: To evaluate and determine prognostic factors of 5-year quality of life in patients with early rheumatoid arthritis (RA). METHODS: A cohort of 191 patients with RA and disease duration < 1 year was prospectively followed over 5 years. The outcome measure was quality of life as assessed by the Arthritis Impact Measurement Scales 2 (AIMS2). Univariate analysis, then stepwise multiple logistic regression, was used to find independent baseline prognostic variables. RESULTS: After accounting for death, loss of followup, and missing data, 158 patients (82.72%) were included in the analysis. The mean AIMS2 physical, symptom, psychological, social interaction, and work scores after 5 years were 1.6 (range 0-6.88), 4.0 (0-10), 3.48 (0-9.22), 4.06 (0-8.69), and 1.87 (0-8.13), respectively. The AIMS2 physical component was significantly correlated with Health Assessment Questionnaire (HAQ) score at 5 years. Logistic regression analysis revealed that the baseline values able to predict the 5-year physical, psychological, symptom, social interaction, and work status were, respectively: HAQ score and erythrocyte sedimentation rate (ESR), body mass index (BMI), HAQ; erosion score and sex, HAQ; ESR and anti-perinuclear antibody; matrix metalloproteinase-3 (MMP3) level, joint space narrowing, and tender joint scores; HAQ score and age. CONCLUSION: The multidimensional structure of the AIMS2 allowed us to assess the 5-year health-related quality of life in early RA. Using this instrument as an outcome variable, prognostic factors were selected and varied widely depending on the evaluated domain. The baseline HAQ score was the best predictive factor of 4 of the 5 domains of the AIMS2.