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Abstract Number: 918

Impact of Comorbidities On Measuring Indirect Utility by the Medical Outcomes Study Short Form 6D in Lower-Limb Osteoarthritis

Kossar Hosseini1, Cécile Gaujoux-Viala2, Joel Coste3, Jacques Pouchot1, Bruno Fautrel4, Anne-Christine Rat5 and Francis Guillemin1, 1Université de Lorraine, Paris Descartes University, APEMAC, EA 4360, F- 54 000, France, Nancy, France, 2Rheumatology, Montpellier I University, Nîmes University Hospital, Nîmes, France, 3Université de Lorraine, Paris Descartes University, APEMAC, EA 4360, Nancy, France, 4Rheumatology, UPMC - Paris 6 University, Paris, France, 5Université de Lorraine, Nancy, F-54000, France; Inserm, CIC-EC CIE6, Nancy, F-54000, France; CHU de Nancy, Clinical Epidemiology and Evaluation Department, Nancy, F-54000, France; CHU de Nancy, Rheumatology department, Nancy, France

Meeting: 2012 ACR/ARHP Annual Meeting

Keywords: Comorbidity, Economics, osteoarthritis and quality of life

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Session Information

Session Title: Epidemiology and Health Services Research: Epidemiology and Outcomes of Rheumatic Disease II

Session Type: Abstract Submissions (ACR)

Background/Purpose:

Comorbidities refer to chronic co-occuring disorders and are inversely and negatively correlated with HRQoL. Because indirect utility measurement involves HRQoL, comorbidities probably affect utility assessment. We investigated the impact of comorbidities to assess indirect utility measured by the Medical Outcomes Study Short Form 6D (SF-6D) in patients with osteoarthritis (OA).

Methods:

The 878 patients of the KHOALA (Knee and Hip OsteoArthritis Long term assessment) cohort were included in the study. KHOALA cohort is a multiregional population based study of patients aged 45-75 years with symptomatic knee or/and hip OA. comorbidities were assessed by the Functional Comorbidity Index (FCI) and grouped in 9 categories. Limitation in activities and pain was measured by the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC).

Two separate linear regression models, using the number of comorbidities or the different categories of comorbidities of the FCI, were fitted to determine predictors of utility score.

Results:

For the 878 patients included, the mean (SD) utility score was 0.66 (11; range 0.32–1.00) and mean number of comorbidities 2.05 (1.58). In the first multivariate model, , for each additional comorbidity (range 0–9) the mean utility score decreased of 0.01 point (beta= -0.010, p<0.0001). In the second model, including comorbidities by categories, only psychiatric disease (beta=-0.043, p<0.0001) and degenerative disc disease (beta=-0.014, p=0.018) predicted low utility score. In both regression models a worsened function (increased WOMAC function score) significantly decreased the utility score. The number of comorbidities explained 2% of the variance in utility score (partial R-square=0.02) and psychiatric and degenerative disc diseases explained 2% (partial R-square=0.025) and 0.7% (partial R-square=0.007), respectively, of the variance in utility score, whereas the WOMAC function score explained 38% of the variance in both models (partial R-square = 0.38).

Conclusion:

Compared to greater negative effect of functional impairment, comorbidities have a negative but relatively marginal impact on indirect utility score. This suggests that clinically, considering the functional severity of OA remains a first priority.


Disclosure:

K. Hosseini,
None;

C. Gaujoux-Viala,
None;

J. Coste,
None;

J. Pouchot,
None;

B. Fautrel,
None;

A. C. Rat,
None;

F. Guillemin,
None.

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