Literature DB >> 33663587

Visit-to-visit variability of serum uric acid measurements and the risk of all-cause mortality in the general population.

Xue Tian1,2, Anxin Wang3,4, Yingting Zuo1,2, Shuohua Chen5, Licheng Zhang1,2, Shouling Wu6, Yanxia Luo7,8.   

Abstract

BACKGROUND: Evidence on longitudinal variability of serum uric acid (SUA) and risk of all-cause mortality in the general population is limited, as many prior studies focused on a single measurement of SUA.
METHODS: A total of 53,956 participants in the Kailuan study who underwent three health examinations during 2006 to 2010 were enrolled. Variability of SUA was measured using the coefficient of variation (primary index), standard deviation, average real variability, and variability independent of the mean. Cox proportional hazard regressions were used to calculate the hazard ratio (HR) and 95% confidence interval (CI) for the association of variability of SUA with subsequent risk of all-cause mortality, considering its magnitude and the direction and across different baseline SUA categories.
RESULTS: Over a median follow-up of 7.04 years, 2728 participants died. The highest variability of SUA was associated with an increased risk of all-cause mortality, the HR was 1.33 (95% CI, 1.20-1.49) compared with the lowest variability. In this group, both a large fall (HR, 1.28; 95% CI, 1.14-1.44) and rise (HR, 1.18; 95% 1.05-1.32) in SUA were related to risk of all-cause mortality. These associations were similar across different baseline SUA categories. Consistent results were observed in alternative measures of SUA variability. Moreover, individuals with higher variability in SUA were more related to common risk factors than those with stable SUA.
CONCLUSIONS: Higher variability in SUA was independently associated with the risk of all-cause mortality irrespective of baseline SUA and direction of variability in the general population.

Entities:  

Keywords:  All-cause mortality; Risk factors; Serum uric acid; Variability

Mesh:

Substances:

Year:  2021        PMID: 33663587      PMCID: PMC7931538          DOI: 10.1186/s13075-021-02445-7

Source DB:  PubMed          Journal:  Arthritis Res Ther        ISSN: 1478-6354            Impact factor:   5.156


  37 in total

1.  Association of hyperuricemia with renal outcomes, cardiovascular disease, and mortality.

Authors:  Wan-Chun Liu; Chi-Chih Hung; Szu-Chia Chen; Shih-Meng Yeh; Ming-Yen Lin; Yi-Wen Chiu; Mei-Chuan Kuo; Jer-Ming Chang; Shang-Jyh Hwang; Hung-Chun Chen
Journal:  Clin J Am Soc Nephrol       Date:  2012-02-02       Impact factor: 8.237

2.  Estimating glomerular filtration rate for the full age spectrum from serum creatinine and cystatin C.

Authors:  Hans Pottel; Pierre Delanaye; Elke Schaeffner; Laurence Dubourg; Bjørn Odvar Eriksen; Toralf Melsom; Edmund J Lamb; Andrew D Rule; Stephen T Turner; Richard J Glassock; Vandréa De Souza; Luciano Selistre; Karolien Goffin; Steven Pauwels; Christophe Mariat; Martin Flamant; Natalie Ebert
Journal:  Nephrol Dial Transplant       Date:  2017-03-01       Impact factor: 5.992

Review 3.  Baseline serum uric acid level as a predictor of cardiovascular disease related mortality and all-cause mortality: a meta-analysis of prospective studies.

Authors:  Gang Zhao; Lan Huang; Mingbao Song; Yaoming Song
Journal:  Atherosclerosis       Date:  2013-08-31       Impact factor: 5.162

4.  Associations of serum uric acid with total and cause-specific mortality: Findings from individuals and pooling prospective studies.

Authors:  Mohsen Mazidi; Niki Katsiki; Dimitri P Mikhailidis; Maciej Banach
Journal:  Atherosclerosis       Date:  2019-07-20       Impact factor: 5.162

5.  Cardiovascular Safety of Febuxostat or Allopurinol in Patients with Gout.

Authors:  William B White; Kenneth G Saag; Michael A Becker; Jeffrey S Borer; Philip B Gorelick; Andrew Whelton; Barbara Hunt; Majin Castillo; Lhanoo Gunawardhana
Journal:  N Engl J Med       Date:  2018-03-12       Impact factor: 91.245

Review 6.  A meta-analysis of cohort studies including dose-response relationship between shift work and the risk of diabetes mellitus.

Authors:  Wenzhen Li; Zhenlong Chen; Wenyu Ruan; Guilin Yi; Dongming Wang; Zuxun Lu
Journal:  Eur J Epidemiol       Date:  2019-09-11       Impact factor: 8.082

7.  U-Shaped Association Between Serum Uric Acid Level and Risk of Mortality: A Cohort Study.

Authors:  Sung Kweon Cho; Yoosoo Chang; Inah Kim; Seungho Ryu
Journal:  Arthritis Rheumatol       Date:  2018-05-09       Impact factor: 10.995

8.  Soluble Uric Acid Activates the NLRP3 Inflammasome.

Authors:  Tarcio Teodoro Braga; Maria Fernanda Forni; Matheus Correa-Costa; Rodrigo Nalio Ramos; Jose Alexandre Barbuto; Paola Branco; Angela Castoldi; Meire Ioshie Hiyane; Mariana Rodrigues Davanso; Eicke Latz; Bernardo S Franklin; Alicia J Kowaltowski; Niels Olsen Saraiva Camara
Journal:  Sci Rep       Date:  2017-01-13       Impact factor: 4.379

9.  The association between serum uric acid and the incidence of prediabetes and type 2 diabetes mellitus: The Rotterdam Study.

Authors:  Niels van der Schaft; Adela Brahimaj; Ke-Xin Wen; Oscar H Franco; Abbas Dehghan
Journal:  PLoS One       Date:  2017-06-20       Impact factor: 3.240

10.  Longitudinal Change in Fasting Blood Glucose and Myocardial Infarction Risk in a Population Without Diabetes.

Authors:  Cheng Jin; Shuohua Chen; Anand Vaidya; Yuntao Wu; Zhijun Wu; Frank B Hu; Penny Kris-Etherton; Shouling Wu; Xiang Gao
Journal:  Diabetes Care       Date:  2017-09-08       Impact factor: 19.112

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