Development of chronic kidney disease influenced by serum urate and body mass index based on young-to-middle-aged Japanese men: a propensity score-matched cohort study

Kuma, Akihiro; Mafune, Kosuke; Uchino, Bungo; Ochiai, Yoko; Enta, Kazuhiko; Kato, Akihiko

doi:10.1136/bmjopen-2021-049540

Cited by 5 publications

(3 citation statements)

References 29 publications

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“…To describe the non-equivalence of our cohort, we performed propensity score matching with logistic regression (SAS version 9.2, SAS Institute Inc., NC, USA) 43 , 44 . The cohort was formed based on 1:1 nearest-neighbor matching using a greedy algorithm.…”

Section: Methodsmentioning

confidence: 99%

Potential link between high FIB-4 score and chronic kidney disease in metabolically healthy men

Kuma

Mafune

Uchino

et al. 2022

Sci Rep

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Although the association between non-alcoholic fatty liver disease and chronic kidney disease (CKD) has been well known, it is unclear whether Fibrosis-4 (FIB-4) score is a predictor of CKD development. We performed this retrospective cohort study, with a longitudinal analysis of 5-year follow-up data from Japanese annual health check-ups. Participants with CKD (estimated glomerular filtration rate [eGFR] < 60 mL/min/1.73 m2 and/or proteinuria) and a habit of alcohol consumption were excluded. The cut-off FIB-4 score was 1.30, indicating increased risk of liver fibrosis. Overall, 5353 participants (men only) were analyzed without exclusion criteria. After propensity score matching, high FIB-4 score (≥ 1.30) was not an independent risk factor for incident CKD (odds ratio [OR] 1.57; 95% confidence interval [CI] 0.97–2.56). However, high FIB-4 score was a significant risk factor for CKD in non-obese (OR 1.92; 95% CI 1.09–3.40), non-hypertensive (OR 2.15; 95% CI 1.16–3.95), or non-smoking (OR 1.88; 95% CI 1.09–3.23) participants. In these participants, FIB-4 score was strongly associated with eGFR decline in the multiple linear regression analysis (β = − 2.8950, P = 0.011). Therefore, a high FIB-4 score may be significantly associated with CKD incidence after 5 years in metabolically healthy participants.

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Section: Methodsmentioning

confidence: 99%

Potential link between high FIB-4 score and chronic kidney disease in metabolically healthy men

Kuma

Mafune

Uchino

et al. 2022

Sci Rep

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“…One of those studies identified the UA level as an important predictor of CKD [56]. A recent study observed that higher UA levels correlated significantly with CKD in middle-aged men regardless of their BMI [57]. Based on the findings of this study, it was discovered that in longitudinal data, the important variable UA may be more meaningfully assessed through the standard deviation "UA(S)" values of its multiple examinations.…”

Section: Discussionmentioning

confidence: 70%

Analyzing Longitudinal Health Screening Data with Feature Ensemble and Machine Learning Techniques: Investigating Diagnostic Risk Factors of Metabolic Syndrome for Chronic Kidney Disease Stages 3a to 3b

Chen,

Liu,

Jhou

et al. 2024

Diagnostics

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Longitudinal data, while often limited, contain valuable insights into features impacting clinical outcomes. To predict the progression of chronic kidney disease (CKD) in patients with metabolic syndrome, particularly those transitioning from stage 3a to 3b, where data are scarce, utilizing feature ensemble techniques can be advantageous. It can effectively identify crucial risk factors, influencing CKD progression, thereby enhancing model performance. Machine learning (ML) methods have gained popularity due to their ability to perform feature selection and handle complex feature interactions more effectively than traditional approaches. However, different ML methods yield varying feature importance information. This study proposes a multiphase hybrid risk factor evaluation scheme to consider the diverse feature information generated by ML methods. The scheme incorporates variable ensemble rules (VERs) to combine feature importance information, thereby aiding in the identification of important features influencing CKD progression and supporting clinical decision making. In the proposed scheme, we employ six ML models—Lasso, RF, MARS, LightGBM, XGBoost, and CatBoost—each renowned for its distinct feature selection mechanisms and widespread usage in clinical studies. By implementing our proposed scheme, thirteen features affecting CKD progression are identified, and a promising AUC score of 0.883 can be achieved when constructing a model with them.

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“…Serum uric acid (SUA), as the final purine metabolite catalyzed by xanthine oxidoreductase (XO), reflects the degree of oxidative stress in vivo ( 12 ). Over the past two decades, numerous epidemiological studies have shown that elevated SUA levels are closely related to various diseases, including hypertension ( 13 ), coronary heart disease ( 14 ), cardiovascular disease ( 15 , 16 ), obesity ( 17 ), diabetes ( 18 ), metabolic syndrome ( 19 ), liver dysfunction ( 20 ), and chronic kidney disease ( 21 ). Moreover, a variety of studies have demonstrated that a high SUA level is significantly associated with AF and may be a potential risk factor for AF ( 22 – 28 ).…”

Section: Introductionmentioning

confidence: 99%

Hyperuricemia Is Associated With the Risk of Atrial Fibrillation Independent of Sex: A Dose-Response Meta-Analysis

Xiong

Shao

et al. 2022

Front. Cardiovasc. Med.

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Background:Conflicting findings of the association between serum uric acid (SUA) and atrial fibrillation (AF) have been reported in both men and women. The sex-specific associations between SUA and the risk of AF are unclear, although hyperuricemia is independently associated with the risk of AF. We performed this meta-analysis to assess the sex-specific effect of SUA on the risk of AF.MethodsThe PubMed, EMBASE, and Cochrane Library databases were searched up to October 3, 2021, for studies that reported sex-specific associations of SUA levels with AF. Linear relationships were assessed by the generalized least squares trend estimation. This study was registered with PROSPERO (42020193013).ResultsTen eligible studies with 814,804 participants (415,779 men and 399,025 women) were identified. In the category analysis, high SUA was associated with an increased risk of AF in both men (OR: 1.42; 95% CI, 1.18–1.71, I2 = 34%) and women (OR: 2.02; 95% CI, 1.29–3.16, I2 = 70%). In the dose-response analysis, for each 60 μmol/L (1 mg/dL) increase in the SUA level, the risk of AF increased by 15% (OR: 1.15; 95% CI, 1.07–1.25, I2 = 74%) in men and 35% (OR: 1.35; 95% CI, 1.18–1.53, I2 = 73%) in women. There was a borderline difference in the impact of SUA on the risk of AF between men and women (P for interaction = 0.05). A significant linear relationship between SUA and the risk of AF was observed in men (P for non-linearity = 0.91) and women (P for non-linearity = 0.92).ConclusionsThis study suggested that there was a significant linear relationship between SUA and the risk of AF among men and women, with a higher risk estimate for women. Additional trials are required to assess the effect of reduced SUA therapy on AF incidence.Systematic Review Registrationhttps:www.crd.york.ac.uk/PROSPERO/, identifier: CRD 42020193013.

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Development of chronic kidney disease influenced by serum urate and body mass index based on young-to-middle-aged Japanese men: a propensity score-matched cohort study

Cited by 5 publications

References 29 publications

Potential link between high FIB-4 score and chronic kidney disease in metabolically healthy men

Potential link between high FIB-4 score and chronic kidney disease in metabolically healthy men

Analyzing Longitudinal Health Screening Data with Feature Ensemble and Machine Learning Techniques: Investigating Diagnostic Risk Factors of Metabolic Syndrome for Chronic Kidney Disease Stages 3a to 3b

Hyperuricemia Is Associated With the Risk of Atrial Fibrillation Independent of Sex: A Dose-Response Meta-Analysis

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