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      Health-related quality of life in gout: a systematic review

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          Abstract

          Objectives. To identify the instruments that have been used to measure health-related quality of life (HRQOL) in gout and assess their clinimetric properties, determine the distribution of HRQOL in gout and identify factors associated with poor HRQOL.

          Methods. Medline, CINAHL, EMBASE and PsycINFO were searched from inception to October 2012. Search terms pertained to gout, health or functional status, clinimetric properties and HRQOL. Study data extraction and quality assessment were performed by two independent reviewers.

          Results. From 474 identified studies, 22 met the inclusion criteria. Health Assessment Questionnaire Disability Index (HAQ-DI) and Short Form 36 (SF-36) were most frequently used and highest rated due to robust construct and concurrent validity, despite high floor and ceiling effects. The Gout Impact Scale had good content validity. Gout had a greater impact on physical HRQOL compared to other domains. Both gout-specific features (attack frequency and intensity, intercritical pain and number of joints involved) and comorbid disease were associated with poor HRQOL. Evidence for objective features such as tophi and serum uric acid was less robust. Limitations of existing studies include cross-sectional design, recruitment from specialist clinic settings and frequent use of generic instruments.

          Conclusion. Most studies have used the generic HAQ-DI and SF-36. Gout-specific characteristics and comorbidities contribute to poor HRQOL. There is a need for a cohort study in primary care (where most patients with gout are treated) to determine which factors predict changes in HRQOL over time. This will enable those at risk of deterioration to be identified and better targeted for treatment.

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          Most cited references33

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          Preliminary criteria for the classification of the acute arthritis of primary gout.

          The American Rheumatism Association sub-committe on classification criteria for gout analyzed data from more than 700 patients with gout, pseudogout, rheumatoid arthritis, or septic arthritis. Criteria for classifying a patient as having gout were a) the presence of characteristic urate crystals in the joint fluid, and/or b) a topus proved to contain urate crystals by chemical or polarized light microscopic means, and/or c) the presence of six of the twelve clinical, laboratory, and X-ray phenomena listed in Table 5.
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            Comparison of drug adherence rates among patients with seven different medical conditions.

            To compare drug adherence rates among patients with gout, hypercholesterolemia, hypertension, hypothyroidism, osteoporosis, seizure disorders, and type 2 diabetes mellitus by using a standardized approach. Longitudinal study. Health care claims data from 2001-2004. A total of 706,032 adults aged 18 years or older with at least one of the seven medical conditions and with incident use of drug therapy for that condition. Drug adherence was measured as the sum of the days' supply of drug therapy over the first year observed. Covariates were age, sex, geographic residence, type of health plan, and a comorbidity score calculated by using the Hierarchical Condition Categories risk adjuster. Bivariate statistics and stratification analyses were used to assess unadjusted means and frequency distributions. Sample sizes ranged from 4984 subjects for seizure disorders to 457,395 for hypertension. During the first year of drug therapy, 72.3% of individuals with hypertension achieved adherence rates of 80% or better compared with 68.4%, 65.4%, 60.8%, 54.6%, 51.2%, or 36.8% for those with hypothyroidism, type 2 diabetes, seizure disorders, hypercholesterolemia, osteoporosis, or gout, respectively. Age younger than 60 years was associated with lower adherence across all diseases except seizure disorders. Comorbidity burden and adherence varied by disease. As comorbidity increased, adherence among subjects with osteoporosis decreased, whereas adherence among those with hypertension, hypercholesterolemia, or gout increased. Add-on drug therapies and previous experience with taking drugs for the condition increased adherence among subjects with hypertension, type 2 diabetes, hypothyroidism, or seizure disorders but not the other conditions. This uniform comparison of drug adherence revealed modest variation across six of seven diseases, with the outlier condition being gout.
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              Gout in the UK and Germany: prevalence, comorbidities and management in general practice 2000–2005

              Objective: To investigate and compare the prevalence, comorbidities and management of gout in practice in the UK and Germany. Methods: A retrospective analysis of patients with gout, identified through the records of 2.5 million patients in UK general practices and 2.4 million patients attending GPs or internists in Germany, using the IMS Disease Analyzer. Results: The prevalence of gout was 1.4% in the UK and Germany. Obesity was the most common comorbidity in the UK (27.7%), but in Germany the most common comorbidity was diabetes (25.9%). The prevalence of comorbidities tended to increase with serum uric acid (sUA) levels. There was a positive correlation between sUA level and the frequency of gout flares. Compared with those in whom sUA was 530 μmol/l ( >9 mg/dl) in the UK and Germany, respectively (p<0.01). Conclusions: The prevalence of gout in practice in the UK and Germany in the years 2000–5 was 1.4%, consistent with previous UK data for 1990–9. Chronic comorbidities were common among patients with gout and included conditions associated with an increased risk for cardiovascular disease, such as obesity, diabetes and hypertension. The importance of regular monitoring of sUA in order to tailor gout treatment was highlighted by data from this study showing that patients with sUA levels ⩾360 μmol/l (⩾6 mg/dl) had an increased risk of gout flares.
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                Author and article information

                Journal
                Rheumatology (Oxford)
                Rheumatology (Oxford)
                brheum
                rheumatology
                Rheumatology (Oxford, England)
                Oxford University Press
                1462-0324
                1462-0332
                November 2013
                10 August 2013
                10 August 2013
                : 52
                : 11
                : 2031-2040
                Affiliations
                1Arthritis Research UK Primary Care Centre, Keele University, Keele, Staffordshire, UK
                Author notes
                Correspondence to: Edward Roddy, Arthritis Research UK Primary Care Centre, Keele University, Keele ST5 5BG, UK. E-mail: e.roddy@ 123456keele.ac.uk
                Article
                ket265
                10.1093/rheumatology/ket265
                3798715
                23934311
                b9495bee-7ee5-4d52-9e80-78cdae03a932
                © The Author 2013. Published by Oxford University Press on behalf of the British Society for Rheumatology.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 3 December 2012
                : 25 June 2013
                Page count
                Pages: 10
                Categories
                Clinical Science

                Rheumatology
                gout,health-related quality of life,clinimetrics
                Rheumatology
                gout, health-related quality of life, clinimetrics

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