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Min Jin Lee 2 Articles
Cardiovascular Risk/Epidemiology
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The Ratio of Estimated Glomerular Filtration Rate Based on Cystatin C and Creatinine Reflecting Cardiovascular Risk in Diabetic Patients
Ah Reum Khang, Min Jin Lee, Dongwon Yi, Yang Ho Kang
Diabetes Metab J. 2023;47(3):415-425.   Published online March 6, 2023
DOI: https://doi.org/10.4093/dmj.2022.0177
  • 2,693 View
  • 149 Download
  • 2 Web of Science
  • 4 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
The ratio of estimated glomerular filtration rate (eGFR) based on cystatin C and creatinine (eGFRcystatin C/eGFRcreatinine ratio) is related to accumulating atherosclerosis-promoting proteins and increased mortality in several cohorts.
Methods
We assessed whether the eGFRcystatin C/eGFRcreatinine ratio is a predictor of arterial stiffness and sub-clinical atherosclerosis in type 2 diabetes mellitus (T2DM) patients, who were followed up during 2008 to 2016. GFR was estimated using an equation based on cystatin C and creatinine.
Results
A total of 860 patients were stratified according to their eGFRcystatin C/eGFRcreatinine ratio (i.e., <0.9, 0.9–1.1 [a reference group], and >1.1). Intima-media thickness was comparable among the groups; however, presence of carotid plaque was frequent in the <0.9 group (<0.9 group, 38.3%; 0.9–1.1 group, 21.6% vs. >1.1 group, 17.2%, P<0.001). Brachial-ankle pulse wave velocity (baPWV) was faster in the <0.9 group (<0.9 group, 1,656.3±333.0 cm/sec; 0.9–1.1 group, 1,550.5±294.8 cm/sec vs. >1.1 group, 1,494.0±252.2 cm/sec, P<0.001). On comparing the <0.9 group with the 0.9–1.1 group, the multivariate-adjusted odds ratios of prevalence of high baPWV and carotid plaque were 2.54 (P=0.007) and 1.95 (P=0.042), respectively. Cox regression analysis demonstrated near or over 3-fold higher risks of the prevalence of high baPWV and carotid plaque in the <0.9 group without chronic kidney disease (CKD).
Conclusion
We concluded that eGFRcystatin C/eGFRcreatinine ratio <0.9 was related to an increased risk of high baPWV and carotid plaque in T2DM patients, especially, those without CKD. Careful monitoring of cardiovascular disease is needed for T2DM patients with low eGFRcystatin C/eGFRcreatinine ratio.

Citations

Citations to this article as recorded by  
  • Intraindividual difference in estimated GFR by creatinine and cystatin C, cognitive trajectories and motoric cognitive risk syndrome
    Jinqi Wang, Yueruijing Liu, Rui Jin, Xiaoyu Zhao, Zhiyuan Wu, Ze Han, Zongkai Xu, Xiuhua Guo, Lixin Tao
    Nephrology Dialysis Transplantation.2024; 39(5): 860.     CrossRef
  • Research Progress of Creatinine, Cystatin C, and Their Ratio in Renal Diseases
    广智 杨
    Advances in Clinical Medicine.2024; 14(04): 976.     CrossRef
  • Muscle mass, creatinine, cystatin C and selective glomerular hypofiltration syndromes
    Linnea Malmgren, Anders Grubb
    Clinical Kidney Journal.2023; 16(8): 1206.     CrossRef
  • Investigating kidney function changes in young adults with COVID-19: Serum creatinine level, glomerular filtration rate, and biochemical profile analysis
    Nikita Matyushin, Dmitriy Ermakov, Inna Vasileva, Roza Vakolyuk, Anastasiya Spaska
    Electronic Journal of General Medicine.2023; 20(6): em547.     CrossRef
Metabolic Risk/Epidemiology
Synergistic Interaction between Hyperuricemia and Abdominal Obesity as a Risk Factor for Metabolic Syndrome Components in Korean Population
Min Jin Lee, Ah Reum Khang, Yang Ho Kang, Mi Sook Yun, Dongwon Yi
Diabetes Metab J. 2022;46(5):756-766.   Published online January 20, 2022
DOI: https://doi.org/10.4093/dmj.2021.0166
  • 5,952 View
  • 265 Download
  • 7 Web of Science
  • 8 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
The present study investigated the role of synergistic interaction between hyperuricemia and abdominal obesity as a risk factor for the components of metabolic syndrome.
Methods
We performed a cross-sectional study using the data of 16,094 individuals from the seventh Korean National Health and Nutrition Examination Survey (2016 to 2018). The adjusted odds ratios of metabolic syndrome and its components were analyzed by multivariate logistic regression analysis. The presence of synergistic interaction between hyperuricemia and abdominal obesity was evaluated by calculating the additive scales—the relative excess risk due to interaction, attributable proportion due to interaction, and synergy index (SI).
Results
There was a synergistic interaction between hyperuricemia and abdominal obesity in hypertriglyceridemia (men: SI, 1.39; 95% confidence interval [CI], 1.01 to 1.98; women: SI, 1.61; 95% CI, 1.02 to 2.69), and low high-density lipoprotein cholesterol (HDL-C) (men: SI, 2.03; 95% CI, 1.41 to 2.91; women: SI, 1.70; 95% CI, 1.05 to 2.95). There was no significant synergistic interaction between hyperuricemia and abdominal obesity for the risk of high blood pressure (men: SI, 1.22; 95% CI, 0.85 to 1.77; women: SI, 1.53; 95% CI, 0.79 to 2.97), and hyperglycemia (men: SI, 1.03; 95% CI, 0.72 to 1.47; women: SI, 1.39; 95% CI, 0.75 to 2.57).
Conclusion
Hyperuricemia and abdominal obesity synergistically increased the risk of hypertriglyceridemia and low HDL-C in both sexes.

Citations

Citations to this article as recorded by  
  • Prevalence and factors associated with overweight, obesity and central obesity among adults in Shenmu City, Shaanxi Province, China
    Mingxia Liu, Chunjiao Jia, Yaoda Hu, Juan Liu, Lizhen Liu, Shengli Sun, Haiying Wang, Yonglin Liu
    Preventive Medicine Reports.2024; 40: 102673.     CrossRef
  • Synergistic interaction between hyperlipidemia and obesity as a risk factor for stress urinary incontinence in Americans
    Fangyi Zhu, Mao Chen, Ya Xiao, Xiaoyu Huang, Liying Chen, Li Hong
    Scientific Reports.2024;[Epub]     CrossRef
  • Uric Acid Inhibits Mice Pancreatic Steatosis via the Glycerophospholipid Pathway
    Yang Xiao, Lina Han, Han Wang, Helin Ke, Shaodan Xu, Zhibin Huang, Guorong Lyu, Shilin Li
    ACS Omega.2024; 9(20): 21829.     CrossRef
  • Association of resistome abundance with hyperuricaemia in elderly individuals: a metagenomics study
    Zhiyang Liu, Yingbo Shen, Yulin Fu, Da Sun, Liang Li, Ziquan Lv
    Frontiers in Microbiomes.2024;[Epub]     CrossRef
  • The role of cognitive function in the relationship between surrogate markers of visceral fat and depressive symptoms in general middle-aged and elderly population: A nationwide population-based study
    Na Zhang, Jianqian Chao, Xueyu Wu, Hongling Chen, Min Bao
    Journal of Affective Disorders.2023; 338: 581.     CrossRef
  • Biodegradation of Uric Acid by Bacillus paramycoides-YC02
    Xiaoyu Cao, Jingyuan Cai, Yu Zhang, Chao Liu, Meijie Song, Qianqian Xu, Yang Liu, Hai Yan
    Microorganisms.2023; 11(8): 1989.     CrossRef
  • A predictive model for hyperuricemia among type 2 diabetes mellitus patients in Urumqi, China
    Palizhati Abudureyimu, Yuesheng Pang, Lirun Huang, Qianqian Luo, Xiaozheng Zhang, Yifan Xu, Liang Jiang, Patamu Mohemaiti
    BMC Public Health.2023;[Epub]     CrossRef
  • Dietary Ferulic Acid Ameliorates Metabolism Syndrome-Associated Hyperuricemia in Rats via Regulating Uric Acid Synthesis, Glycolipid Metabolism, and Hepatic Injury
    Nanhai Zhang, Jingxuan Zhou, Lei Zhao, Ou Wang, Liebing Zhang, Feng Zhou
    Frontiers in Nutrition.2022;[Epub]     CrossRef

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