Literature DB >> 17355743

Metabolic syndrome-related conditions among people with and without gout: prevalence and resource use.

Suzanne Novak1, Arthur K Melkonian, Pankaj A Patel, Nathan L Kleinman, Nancy Joseph-Ridge, Richard A Brook.   

Abstract

OBJECTIVE: A cohort of employees with gout were compared to those without to evaluate the differences in prevalence of disorders associated with metabolic syndrome (both those considered underlying and those associated with end-stage morbidity and mortality) as well as the cost of annual medical services (AMS) required for treatment of these conditions.
METHODS: Employees with gout were identified by International Classification of Diseases-9 (ICD-9) code during the calendar years of 2001-2004 and compared to propensity-score matched employees without gout using the Human Capital Management Services Research Reference Database. T-tests were then used to compare prevalence and average AMS of comorbid disorders defined from Agency for Healthcare and Research Quality (AHRQ) diagnostic categories.
RESULTS: 'Hyperlipidemia', 'essential hypertension', and 'diabetes mellitus without complications' ranked in the top 10 categories of mean number of AMS for employees with gout using AHRQ specific categories; the values were higher than found for those without gout (all p < 0.0001). 'Essential hypertension', 'hyperlipidemia', 'diabetes mellitus without complications', and 'coronary atherosclerosis' showed an approximate 2:1 prevalence ratio for employees with gout over those without (p < or = 0.05). Main study limitations include the small number of subjects with gout, retrospective study design, and possible miscoding and/or non-coding of individuals with the studied disorders.
CONCLUSION: These results support the continued need for patients with gout and their clinicians to be aware of the possibility of the increased risk of associated metabolic syndrome and related comorbidities in these individuals, emphasizing the need for prevention when possible and treatment when necessary.

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Year:  2007        PMID: 17355743     DOI: 10.1185/030079906X167651

Source DB:  PubMed          Journal:  Curr Med Res Opin        ISSN: 0300-7995            Impact factor:   2.580


  4 in total

1.  Factors associated with gout in South Koreans: analysis using the National Health Insurance Corporation and the National Health Screening Exam databases.

Authors:  Chan Hee Lee; Na Young Sung; Jisoo Lee; Sang-Cheol Bae
Journal:  Clin Rheumatol       Date:  2013-02-10       Impact factor: 2.980

2.  A meta-analysis of alcohol consumption and the risk of gout.

Authors:  Meiyun Wang; Xiubo Jiang; Wenlong Wu; Dongfeng Zhang
Journal:  Clin Rheumatol       Date:  2013-07-24       Impact factor: 2.980

3.  Visceral fat obesity is highly associated with primary gout in a metabolically obese but normal weighted population: a case control study.

Authors:  Jennifer Lee; Ji-Yeon Lee; Jae-Ho Lee; Seung-Min Jung; Young Sun Suh; Jung-Hee Koh; Seung-Ki Kwok; Ji Hyeon Ju; Kyung-Su Park; Sung-Hwan Park
Journal:  Arthritis Res Ther       Date:  2015-03-24       Impact factor: 5.156

Review 4.  Uric Acid and Oxidative Stress-Relationship with Cardiovascular, Metabolic, and Renal Impairment.

Authors:  Mihai-Emil Gherghina; Ileana Peride; Mirela Tiglis; Tiberiu Paul Neagu; Andrei Niculae; Ionel Alexandru Checherita
Journal:  Int J Mol Sci       Date:  2022-03-16       Impact factor: 5.923

  4 in total

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