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

Tian, Xue; Wang, Anxin; Zuo, Yingting; Chen, Shuohua; Zhang, Licheng; Wu, Shouling; Luo, Yanxia

doi:10.1186/s13075-021-02445-7

Cited by 12 publications

(14 citation statements)

References 37 publications

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“…In participants with a BMI of <22.0 kg/m 2 , we observed a U-shaped relationship, in that a positive %dSUA was associated with a signifcantly higher HR for all-cause mortality. To the best of our knowledge, few studies have indicated percentage change in SUA as an important risk factor for all-cause mortality among community-dwelling persons [20].…”

Section: Discussionmentioning

confidence: 99%

“…Variations in hemodynamic and metabolic parameters have been associated with poor prognosis. Tian et al [20], for example, show an independent association between variability in SUA levels and greater risk of all-cause mortality, irrespective of baseline SUA and the direction of variability in the general population. However, it is not known whether this presumed relationship varies with the change in SUA levels.…”

Section: Introductionmentioning

confidence: 99%

“…More recent clinical observations have shown that increased variability in BMI [15], blood glucose (BG), and SUA [16][17][18][19][20] are associated with an increased risk of all-cause mortality. Variations in hemodynamic and metabolic parameters have been associated with poor prognosis.…”

Section: Introductionmentioning

confidence: 99%

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Change in Serum Uric Acid is a Useful Predictor of All-Cause Mortality among Community-Dwelling Persons

Kawamoto

Kikuchi

Ninomiya

et al. 2023

International Journal of Analytical Chemistry

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There is limited research on the association between longitudinal variability in serum uric acid (SUA) and all-cause mortality in the general population, although recent studies have suggested that changes in SUA are associated with all-cause mortality in adults. This study aims to examine the association between percentage change in SUA (%dSUA = 100 × (cohort 2 SUA − cohort 1 SUA)/(time × cohort 1 SUA) and all-cause mortality. This study is based on 1,301 participants, of whom 543 were male (63 ± 11 years) and 758 were female (63 ± 9 years). We obtained adjusted relative risk estimates for all-cause mortality and used a Cox proportional hazards model, adjusted for possible confounders, to determine the hazard ratio (HR) and 95% confidence interval (CI) of %dSUA. Of all the participants, 79 (6.1%) were deceased, and of these, 45 were male (8.3%) and 34 were female (4.5%). The multivariable-adjusted HRs (95% CI) for all-cause mortality for the first, second to fourth (reference), and fifth %dSUA quintiles were 3.79 (1.67–8.48), 1.00, and 0.87 (0.29–2.61) for male participants and 4.00 (1.43–11.2), 1.00, and 1.19 (0.46–3.05) for female participants, respectively. Participants with a body mass index of <22 kg/m2 had a significantly higher HR, forming a U-shaped curve for the first (HR, 7.59; 95% CI, 2.13–27.0) and fifth quintiles (HR, 2.93; 95% CI, 1.05–8.18) relative to the reference. Percentage change in SUA is independently and significantly associated with future all-cause mortality among community-dwelling persons.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Change in Serum Uric Acid is a Useful Predictor of All-Cause Mortality among Community-Dwelling Persons

Kawamoto

Kikuchi

Ninomiya

et al. 2023

International Journal of Analytical Chemistry

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“…Observation from Middelheim Interdisciplinary Stroke Study indicated that rapid change in SUA concentration was associated with poor prognosis of stroke ( 25 ). In addition, a cohort study conducted in Kailuan found that prominent increases or decreases in SUA correlated with higher all-cause mortality risk ( 26 ). However, results from several other studies did not correlate in accordance with ours.…”

Section: Discussionmentioning

confidence: 99%

Relationship Between Change in Serum Uric Acid and Ischemic Stroke in Chinese Hypertensive Patients

Tan

Liu

Huang

et al. 2021

Front. Cardiovasc. Med.

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Background: Limited studies focused on the association between serum uric acid (SUA) change with ischemic stroke, and their results remain controversial. The present study aimed to investigate the relationship between change in SUA with ischemic stroke among hypertensive patients.Method: This was a retrospective cohort study. We recruited adult hypertensive patients who had two consecutive measurements of SUA levels from 2013 to 2014 and reported no history of stroke. Change in SUA was assessed as SUA concentration measured in 2014 minus SUA concentration in 2013. Multivariable Cox proportional hazards models were used to estimate adjusted hazard ratios (HRs) and 95% confidence intervals (CIs). The Kaplan–Meier analysis and log-rank test were performed to quantify the difference in cumulative event rate. Additionally, subgroup analysis and interaction tests were conducted to investigate heterogeneity.Results: A total of 4,628 hypertensive patients were included, and 93 cases of ischemic stroke occurred during the mean follow-up time of 3.14 years. Participants were categorized into three groups according to their SUA change tertiles [low (SUA decrease substantially): <-32.6 μmol/L; middle (SUA stable): ≥-32.6 μmol/L, <40.2 μmol/L; high (SUA increase substantially): ≥40.2 μmol/L]. In the fully adjusted model, setting the SUA stable group as reference, participants in the SUA increase substantially group had a significantly elevated risk of ischemic stroke [HR (95% CI), 1.76 (1.01, 3.06), P = 0.0451], but for the SUA decrease substantially group, the hazard effect was insignificant [HR (95% CI), 1.31 (0.75, 2.28), P = 0.3353]. Age played an interactive role in the relationship between SUA change and ischemic stroke. Younger participants (age < 65 years) tended to have a higher risk of ischemic stroke when SUA increase substantially.Conclusion: SUA increase substantially was significantly correlated with an elevated risk of ischemic stroke among patients with hypertension.

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“…The VIM was calculated as 100 x SD/Mean beta , where beta is the regression coefficient, on the basis of the natural logarithm of the SD over the natural logarithm of the mean. (15)…”

Section: Methodsmentioning

confidence: 99%

Association of gamma-glutamyl transferase variability with risk of osteoporotic fractures: A nationwide cohort study

Song

Kim

et al. 2022

Preprint

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Objectives: Gamma-glutamyl transferase (GGT) is related to inflammation, osteoporosis, and vascular diseases. Recently, changes in metabolic parameters have been proposed as disease biomarkers. We aimed to assess longitudinally the association of GGT variability with osteoporotic fractures. Methods: From the National Health Insurance Service-Health Screening Cohort database, participants who underwent three or more health examinations between 2003 and 2008 were included (n=1,072,432). Variability indexes were as follows: (1) coefficient of variation (CV), (2) standard deviation (SD), and (3) variability independent of the mean (VIM). The primary outcome was occurrence of osteoporotic fracture, defined as identification of one of the following international classification of diseases-10 codes: vertebral fracture (S22.0, S22.1, S32.0, S32.7, T08, M48.4, M48.5, M49.5), hip fracture (S72.0, S72.1), distal radius fracture (S52.5, S52.6), or humerus fracture (S42.2, S42.3). Results: During a median of 12.3 years (interquartile range 12.1 – 12.6), osteoporotic fractures occurred in 49,677 (4.6%) participants. In multivariable analysis, GGT variability based on CV positively correlated with the occurrence of osteoporotic fracture (adjusted hazard ratio [HR]of the highest quartile compared with the lowest quartile 1.15, 95% confidence interval [CI] 1.12-1.18, P < 0.001). These results were consistent even when GGT variability was defined by SD (adjusted HR 1.22, 95% CI 1.19-1.25, P < 0.001) and VIM (adjusted HR 1.12, 95% CI 1.09-1.15, P < 0.001). Conclusions: Increased GGT variability is associated with an increased risk of osteoporotic fractures in the Korean population. Maintaining constant and stable GGT level may help reduce the risk of osteoporotic fractures.

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

Cited by 12 publications

References 37 publications

Change in Serum Uric Acid is a Useful Predictor of All-Cause Mortality among Community-Dwelling Persons

Change in Serum Uric Acid is a Useful Predictor of All-Cause Mortality among Community-Dwelling Persons

Relationship Between Change in Serum Uric Acid and Ischemic Stroke in Chinese Hypertensive Patients

Association of gamma-glutamyl transferase variability with risk of osteoporotic fractures: A nationwide cohort study

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