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Clinical Study
Prevalence of Reduced Kidney Function by Estimated Glomerular Filtration Rate Using an Equation Based on Creatinine and Cystatin C in Metabolic Syndrome and Its Components in Korean Adults
Yang Ho Kang, Dong Wook Jeong, Seok Man Son
Endocrinol Metab. 2016;31(3):446-453.   Published online August 2, 2016
DOI: https://doi.org/10.3803/EnM.2016.31.3.446
  • 3,708 View
  • 34 Download
  • 3 Web of Science
  • 4 Crossref
AbstractAbstract PDFPubReader   
Background

It is known that metabolic syndrome (MetS) is associated with chronic kidney disease. We evaluated and compared the prevalence of reduced kidney function in MetS and its components by estimated glomerular filtration rate (eGFR) using an equation based on creatinine (eGFRcr), cystatin C (eGFRcys), and combined creatinine-cystatin C (eGFRcr-cys) in Korean adults.

Methods

We analyzed data from 3,649 adults who participated in a comprehensive health examination.

Results

Mean values of eGFRcys were higher compared with mean values of eGFRcr (96.1±18.2 mL/min/1.73 m2 vs. 91.2±13.6 mL/min/1.73 m2) in total subjects. The prevalence of reduced kidney function increased with age (9.6% for eGFRcys vs. 5.8% for eGFRcr-cys vs. 4.9% for eGFRcr, in subjects aged ≥60 years), and significantly increased with MetS, abdominal obesity, hypertension, high triglyceride, low high density lipoprotein (HDL), and high insulin resistance. The prevalence of MetS, abdominal obesity, hypertension, high insulin resistance, low HDL, and hepatic steatosis was significantly increased in subjects with reduced kidney function. This increased prevalence and the odds ratio of reduced kidney function for prevalence of MetS was highest for eGFRcys, followed by those of eGFRcr-cys, and eGFRcr.

Conclusion

The prevalence of reduced kidney function by eGFR was significantly increased in subjects with MetS and its related components. eGFRcys and eGFRcr-cys were superior to eGFRcr in detecting reduced kidney function.

Citations

Citations to this article as recorded by  
  • Association Between CST3 Gene Polymorphisms and Large-Artery Atherosclerotic Stroke
    Yarong Ding, Zhe Xu, Yuesong Pan, Xia Meng, Xianglong Xiang, Hao Li, Liping Liu, Yongjun Wang
    Frontiers in Neurology.2021;[Epub]     CrossRef
  • Long-term effects of various types of 3-hydroxy-3-methylglutaryl coenzyme A reductase inhibitors on changes in glomerular filtration rate in Korea
    Seo Yeon Baik, Hyunah Kim, So Jung Yang, Tong Min Kim, Seung-Hwan Lee, Jae Hyoung Cho, Hyunyong Lee, Hyeon Woo Yim, Kun-Ho Yoon, Hun-Sung Kim
    Frontiers of Medicine.2019; 13(6): 713.     CrossRef
  • Gender specific association of parathyroid hormone and vitamin D with metabolic syndrome in population with preserved renal function
    Min-Hee Kim, Jeongmin Lee, Jeonghoon Ha, Kwanhoon Jo, Dong-Jun Lim, Jung-Min Lee, Sang-Ah Chang, Moo-Il Kang, Bong Yun Cha
    Scientific Reports.2018;[Epub]     CrossRef
  • PROBLEM OF THE ASSESMENT OF GLOMERULAR FILTRATION RATE IN OBESITY
    A. V. Smirnov, I. G. Kayukov, A. Sh. Rumyantsev
    Nephrology (Saint-Petersburg).2017; 21(2): 20.     CrossRef
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Obesity and Metabolism
Variation in Serum Creatinine Level Is Correlated to Risk of Type 2 Diabetes
Jun Sung Moon, Ji Eun Lee, Ji Sung Yoon
Endocrinol Metab. 2013;28(3):207-213.   Published online September 13, 2013
DOI: https://doi.org/10.3803/EnM.2013.28.3.207
  • 4,160 View
  • 47 Download
  • 19 Crossref
AbstractAbstract PDFPubReader   
Background

Skeletal muscle is well established as a major target organ of insulin action, and is associated with the pathogenesis of type 2 diabetes. Therefore, we attempted to determine whether a variation in serum creatinine is related to the development of type 2 diabetes and other risk factors for diabetes.

Methods

A total of 2,676 nondiabetic subjects with stable and normal renal function (estimated glomerular filtration rate >60 mL/min/1.73 m2) were followed up for approximately 4.5 years. New onset diabetes was defined as fasting plasma glucose (FPG) ≥7.0 mmol/L, glycated hemoglobin (HbA1c) ≥6.5%, or subjects taking antidiabetic agents. Variation of serum creatinine (ΔCre) was defined as a difference between follow-up and baseline creatinine. In subgroup analysis, body composition was examined by bioelectric impedance analysis method.

Results

A total of 106 subjects were diagnosed with new-onset diabetes during the follow-up period. Baseline serum creatinine was not different between the new-onset diabetes and no diabetes groups. Negative ΔCre (ΔCre <0) showed an association with increased risk of type 2 diabetes after adjusting for age, sex, body mass index, systolic blood pressure, FPG, HbA1c, triglyceride, high density lipoprotein cholesterol, and γ-glutamyl transpeptidase (odds ratio, 1.885; 95% confidence interval, 1.127 to 3.153). Serum creatinine level demonstrated positive correlation with muscle mass and negative correlation with percentage of body fat in body composition analysis.

Conclusion

Serum creatinine reflected body muscle mass and the decrease of serum creatinine might be regarded as a risk factor for type 2 diabetes.

Citations

Citations to this article as recorded by  
  • Low serum creatinine, a surrogate marker of muscle mass, correlates with insulin sensitivity in nonhuman primates
    Uddhav K. Chaudhari, Barbara C. Hansen
    Journal of Medical Primatology.2023; 52(2): 100.     CrossRef
  • Identification of Novel Biomarkers of Spinal Muscular Atrophy and Therapeutic Response by Proteomic and Metabolomic Profiling of Human Biological Fluid Samples
    Megi Meneri, Elena Abati, Delia Gagliardi, Irene Faravelli, Valeria Parente, Antonia Ratti, Federico Verde, Nicola Ticozzi, Giacomo P. Comi, Linda Ottoboni, Stefania Corti
    Biomedicines.2023; 11(5): 1254.     CrossRef
  • Association of serum creatinine levels and risk of type 2 diabetes mellitus in Korea: a case control study
    Do Kyeong Song, Young Sun Hong, Yeon-Ah Sung, Hyejin Lee
    BMC Endocrine Disorders.2022;[Epub]     CrossRef
  • Impact of Female Sex on the Susceptibility to Hypernatremia Among Older Community-Dwelling Individuals in Japan
    Sho Tanaka, Midori Fujishiro, Kazuhiro Imatake, Yasuyuki Suzuki, Hisamitsu Ishihara, Shigemasa Tani
    International Journal of General Medicine.2022; Volume 15: 777.     CrossRef
  • Ameliorative Effect of Oxytocin on FBN1 and PEPCK Gene Expression, and Behavioral Patterns in Rats' Obesity-Induced Diabetes
    Asmaa Elnagar, Khalifa El-Dawy, Hussein I. El-Belbasi, Ibrahim F. Rehan, Hamdy Embark, Zeinab Al-Amgad, Obeid Shanab, Elsayed Mickdam, Gaber E. Batiha, Salman Alamery, Samer S. Fouad, Simona Cavalu, Mohammed Youssef
    Frontiers in Public Health.2022;[Epub]     CrossRef
  • Time to doubling of serum creatinine in patients with diabetes in Ethiopian University Hospital: Retrospective follow-up study
    Adeladlew Kassie Netere, Ashenafi Kibret Sendekie, Donovan Anthony McGrowder
    PLOS ONE.2022; 17(9): e0274495.     CrossRef
  • Deep Learning for Integrated Analysis of Insulin Resistance with Multi-Omics Data
    Eunchong Huang, Sarah Kim, TaeJin Ahn
    Journal of Personalized Medicine.2021; 11(2): 128.     CrossRef
  • Arsenic Secondary Methylation Capacity Is Inversely Associated with Arsenic Exposure-Related Muscle Mass Reduction
    Md. Khalequzzaman Sarker, Selim Reza Tony, Abu Eabrahim Siddique, Md. Rezaul Karim, Nazmul Haque, Zohurul Islam, Md. Shofikul Islam, Moriom Khatun, Jahidul Islam, Shakhawoat Hossain, Zahangir Alam Saud, Hideki Miyataka, Daigo Sumi, Aaron Barchowsky, Seiic
    International Journal of Environmental Research and Public Health.2021; 18(18): 9730.     CrossRef
  • Creatinine to Body Weight Ratio Is Associated with Incident Diabetes: Population-Based Cohort Study
    Yoshitaka Hashimoto, Takuro Okamura, Masahide Hamaguchi, Akihiro Obora, Takao Kojima, Michiaki Fukui
    Journal of Clinical Medicine.2020; 9(1): 227.     CrossRef
  • ¿Debemos prestar más atención a la creatinina baja?
    Carlos A. Amado Diago, José A. Amado Señaris
    Endocrinología, Diabetes y Nutrición.2020; 67(7): 486.     CrossRef
  • Arsenic exposure-related hyperglycemia is linked to insulin resistance with concomitant reduction of skeletal muscle mass
    Victor Mondal, Zubaer Hosen, Faruk Hossen, Abu Eabrahim Siddique, Selim Reza Tony, Zohurul Islam, Md. Shofikul Islam, Shakhawoat Hossain, Khairul Islam, Md. Khalequzzaman Sarker, M.M. Hasibuzzaman, Ling-Zhi Liu, Bing-Hua Jiang, Md Mominul Hoque, Zahangir
    Environment International.2020; 143: 105890.     CrossRef
  • Noninvasive assessment of abdominal adipose tissues and quantification of hepatic and pancreatic fat fractions in type 2 diabetes mellitus
    Manoj Kumar Sarma, Andres Saucedo, Christine Hema Darwin, Ely Richard Felker, Kavya Umachandran, Daniel Kohanghadosh, Edward Xu, Steve Raman, Michael Albert Thomas
    Magnetic Resonance Imaging.2020; 72: 95.     CrossRef
  • Should we pay more attention to low creatinine levels?
    Carlos A. Amado Diago, José A. Amado Señaris
    Endocrinología, Diabetes y Nutrición (English ed.).2020; 67(7): 486.     CrossRef
  • Acute Effect of the Timing of Resistance Exercise and Nutrient Intake on Muscle Protein Breakdown
    Wataru Kume, Jun Yasuda, Takeshi Hashimoto
    Nutrients.2020; 12(4): 1177.     CrossRef
  • Serum creatinine levels and risk of incident type 2 diabetes mellitus or dysglycemia in middle-aged Japanese men: a retrospective cohort study
    Mamoru Takeuchi, Hironori Imano, Isao Muraki, Yuji Shimizu, Mina Hayama-Terada, Akihiko Kitamura, Takeo Okada, Masahiko Kiyama, Hiroyasu Iso
    BMJ Open Diabetes Research & Care.2018; 6(1): e000492.     CrossRef
  • Assessment of kidney dysfunction with cystatin C- and creatinine-based estimated glomerular filtration rate and predicting type 2 diabetes: Toranomon Hospital Health Management Center Study 21
    Yoriko Heianza, Shigeko Hara, Kazumi Saito, Hiroshi Tsuji, Shiro Tanaka, Satoru Kodama, Tetsuro Kobayashi, Yasuji Arase, Hirohito Sone
    Diabetes Research and Clinical Practice.2016; 113: 60.     CrossRef
  • Profiling human blood serum metabolites by nuclear magnetic resonance spectroscopy: a comprehensive tool for the evaluation of hemodialysis efficiency
    Marika Kromke, Martina Palomino-Schätzlein, Horst Mayer, Stefan Pfeffer, Antonio Pineda-Lucena, Burkhard Luy, Martin Hausberg, Claudia Muhle-Goll
    Translational Research.2016; 171: 71.     CrossRef
  • Safety evaluation of the consumption of high dose milk fat globule membrane in healthy adults: a double-blind, randomized controlled trial with parallel group design
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    Bioscience, Biotechnology, and Biochemistry.2015; 79(7): 1172.     CrossRef
  • Brief Review of Articles in 'Endocrinology and Metabolism' in 2013
    Won-Young Lee
    Endocrinology and Metabolism.2014; 29(3): 251.     CrossRef
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