Literature DB >> 11269534

Hyperuricemia in Saudi Arabia.

A S Al-Arfaj1.   

Abstract

The objective of this prospective study was to determine the prevalence of hyperuricemia and gout in a sample of Saudi individuals and their relationship to certain risk factors, namely, obesity, serum glucose, triglycerides, cholesterol, age, and sex. A total of 487 Saudis (250 males and 237 females) from 14 primary care clinics were interviewed, examined, and investigated. The mean age for the males was 46.89 +/- 17.01 years (range 14-83) and for the females 45.08 +/- 13.67 years (range 21-80). Serum uric acid (SUA) values above 420 micromol/l for males and 360 micromol/l for females were considered to be high. Of the 487 individuals, 41 (8.42%; 20 males and 21 females) had hyperuricemia. The mean SUA was 308.41 +/- 90.64 micromol/l for males and 254.59 +/- 85.79 micromol/l for females. In females, uric acid levels correlated significantly with age, body mass index (BMI), serum creatinine, and the erythrocyte sedimentation rate (ESR), but not with serum cholesterol or triglycerides. In males, uric acid levels only correlated significantly with BMI and serum creatinine. No case of gout was found.

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Year:  2001        PMID: 11269534     DOI: 10.1007/s002960000076

Source DB:  PubMed          Journal:  Rheumatol Int        ISSN: 0172-8172            Impact factor:   2.631


  18 in total

1.  Prevalence of hyperuricemia among Chinese adults: a national cross-sectional survey using multistage, stratified sampling.

Authors:  Hong Liu; Xiao-Min Zhang; Yan-Li Wang; Bi-Cheng Liu
Journal:  J Nephrol       Date:  2014-04-01       Impact factor: 3.902

2.  Gender impact on the correlations between subclinical thyroid dysfunction and hyperuricemia in Chinese.

Authors:  Jianping Zhang; Zhaowei Meng; Qing Zhang; Li Liu; Kun Song; Jian Tan; Xue Li; Qiang Jia; Guizhi Zhang; Yajing He
Journal:  Clin Rheumatol       Date:  2015-01-21       Impact factor: 2.980

Review 3.  Risk factors for gout and prevention: a systematic review of the literature.

Authors:  Jasvinder A Singh; Supriya G Reddy; Joseph Kundukulam
Journal:  Curr Opin Rheumatol       Date:  2011-03       Impact factor: 5.006

Review 4.  Global epidemiology of gout: prevalence, incidence and risk factors.

Authors:  Chang-Fu Kuo; Matthew J Grainge; Weiya Zhang; Michael Doherty
Journal:  Nat Rev Rheumatol       Date:  2015-07-07       Impact factor: 20.543

Review 5.  Determinants of the prevalence of gout in the general population: a systematic review and meta-regression.

Authors:  José M A Wijnands; Wolfgang Viechtbauer; Kristof Thevissen; Ilja C W Arts; Pieter C Dagnelie; Coen D A Stehouwer; Sjef van der Linden; Annelies Boonen
Journal:  Eur J Epidemiol       Date:  2014-07-27       Impact factor: 8.082

6.  Uric acid and the development of metabolic syndrome in women and men.

Authors:  Xuemei Sui; Timothy S Church; Rebecca A Meriwether; Felipe Lobelo; Steven N Blair
Journal:  Metabolism       Date:  2008-06       Impact factor: 8.694

7.  The prevalence of hyperuricemia in China: a meta-analysis.

Authors:  Liu B; Wang T; Zhao Hn; Yue Ww; Yu Hp; Liu Cx; Yin J; Jia Ry; Nie Hw
Journal:  BMC Public Health       Date:  2011-10-27       Impact factor: 3.295

Review 8.  Hyperuricaemia in the Pacific: why the elevated serum urate levels?

Authors:  Anna L Gosling; Elizabeth Matisoo-Smith; Tony R Merriman
Journal:  Rheumatol Int       Date:  2013-12-31       Impact factor: 3.580

9.  Ethnopharmacological Survey of Medicinal Plants in Albaha Region, Saudi Arabia.

Authors:  Nasser A Awadh Ali; Saeed Salah Al Sokari; Ahmed Gushash; Sirajudheen Anwar; Khalid Al-Karani; Abdulwali Al-Khulaidi
Journal:  Pharmacognosy Res       Date:  2017 Oct-Dec

10.  Association between Uric Acid and Metabolic Syndrome in Qazvin Metabolic Diseases Study (QMDS), Iran.

Authors:  Amir Ziaee; Neda Esmailzadehha; Azam Ghorbani; Saeed Asefzadeh
Journal:  Glob J Health Sci       Date:  2012-11-14
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