RESEARCH - Health Assessment Questionnaire score is the best preictor of 5-year quality of life early RA

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J Rheumatol. 2006 Aug 15; [Epub ahead of print]

Health Assessment Questionnaire Score Is the Best Predictor of 5-Year

Quality of Life in Early Rheumatoid Arthritis.

Cohen JD, Dougados M, Goupille P, Cantagrel A, Meyer O, Sibilia J, Daures

JP, Combe B.

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.

PMID: 16924692

http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve & db=PubMed & list_uids=1\

6924692

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