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AB0840 The Relationship of Clinical Manifestations and Comorbidities with the Indicators of Quality of Life in Patients with Gout Men (Preliminary Data)
  1. M. Mukagova,
  2. M. Eliseev,
  3. S. Glukhova
  1. Nasonova Research Institute of Rheumatology, Moscow, Russian Federation

Abstract

Objectives To assess the quality of life of men with gout compared with standardised population-based indicators; to identify factors associated with poor HRQoL.

Methods A total of 175 male patients with crystal-proven (100%) gout have been examined. The mean age: 48 (±12.3) yrs, 39% was chronic arthritis, 36.6% tophi, 23% coronary heart disease (CHD), 76% hypertension, 15.2% diabetes mellitus type 2, 9.1% chronic kidney disease (CKD), 55.4% obesity, the mean level of uric acid 510 (±120) micromolar, allopurinol uses 31.4%. HRQoL using Shot Form (SF)-36 compared with Russian general population (n=3344). There have been held the correlation analysis by Sperman and Pearson between SF-36, HAQ, EQ and gender, age, duration of disease, chronic arthritis, the presence of tophi, the level of uric acid, administration of diuretics, alcohol, comorbidities (hypertension, CHD, CKD, diabetes mellitus, obesity, CV events. Statistically significant differences were considered at p<0.05. Stepwise multiple regression to identify predictors of low HRQOL was used.

Results Total respondents had significantly lower SF-36 PCS (p<0,00001) and significantly lower scores: Physical Functioning (p<0.00001), Role-Physical (p<0.00001), Bodily Pain (p<0,00001), General Health (p<0,0012). A mental component summary (MCS) score of gout patients did not differ from the standardised population-based index. Correlations between HRQOL and age HAQ were revealed: r=0,27, p=0.0001; EQ: r=-0.24, p=0.001; SF-36v1 (PCS): r=-0,28, p=0.0001. Duration of disease HAQ: r=0,18, p=0.03; SF-36 (PCS): r=-0.26, p=0.0001. The presence of chronic arthritis HAQ, r=0,3, p=0.001; EQ, r=-0,22, p=0.01; PCS, r=-0.34, p=0.0001. Tophi HAQ, r=0,3, p=0.006; PCS, r=-0,35, p=0.0001. Hypertension HAQ, r=0,17, p=0.02; PCS, r=-0.18, p=0.0001; CV events EQ, r=-0.16, p=0.03. Based on step-by-step multiple regression there was found a direct and feedback of all instruments of HRQoL with age HAQ regression coefficient (regression coef.) 0,01, CI 0,051 to 0,36; EQ regression coef. (-0,004), CI (-0,34) to (-0,04); PCS regression coef. (-0,19), CI (-0,39) to (-0,11) and the presence of chronic arthritis HAQ regression coef. 0,23, CI 0,008 to 0,34; EQ regression coef. (-0,09), CI (-0,32) to (-0,02); PCS regression coef. (-3,12), CI (-0,32) to (-0,004); with the presence of tophi HAQ, regression coef. 0,21, CI 0,006 to 0,42; frequency arthritis EQ, regression coef. (-0,005), CI (-0,009) to (-0,001), with obesity EQ regression coef. (-0,08), CI (-0,166) to (-0,009), with the frequency of arthritis PCS, regression coef. (-0,17), CI (-0,31) to (-0,04) and with CKD- PCS, coeff. regression (-4,59), CI (-0,35) to (-0,14).

Conclusions Patients with gout in comparison with population control have significantly lower HRQoL. Poor HRQoL independently associated with chronic arthritis, the presence of tophi, frequent attacks, gender and comorbidity (CKD and obesity).

Disclosure of Interest None declared

DOI 10.1136/annrheumdis-2014-eular.4920

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