Association of renal function with clinical parameters and conditions in a longitudinal population‑based epidemiological study

Sumi,Takuya; Oguri,Mitsutoshi; Fujimaki,Tetsuo; Horibe,Hideki; Kato,Kimihiko; Matsui,Kota; Takeuchi,Ichiro; Murohara,Toyoaki; Yamada,Yoshiji

doi:10.3892/br.2016.831

Association of renal function with clinical parameters and conditions in a longitudinal population‑based epidemiological study

Authors:
- Takuya Sumi
- Mitsutoshi Oguri
- Tetsuo Fujimaki
- Hideki Horibe
- Kimihiko Kato
- Kota Matsui
- Ichiro Takeuchi
- Toyoaki Murohara
- Yoshiji Yamada
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Affiliations: Department of Cardiology, Graduate School of Medicine, Nagoya University, Nagoya, Aichi 466‑8560, Japan, Department of Cardiology, Kasugai Municipal Hospital, Kasugai, Aichi 486‑8510, Japan, Department of Cardiovascular Medicine, Inabe General Hospital, Inabe, Mie 511‑0428, Japan, Department of Cardiovascular Medicine, Gifu Prefectural Tajimi Hospital, Tajimi, Gifu 507‑0042, Japan, Department of Internal Medicine, Meitoh Hospital, Nagoya, Aichi 465‑0025, Japan, Department of Biostatistics, Graduate School of Medicine, Nagoya University, Nagoya, Aichi 464‑8601, Japan, Department of Computer Science, Graduate School of Engineering, Nagoya Institute of Technology, Nagoya, Aichi 466‑8555, Japan, Core Research for Evolutionary Science and Technology (CREST), Japan Science and Technology Agency, Kawaguchi, Saitama 332‑0012, Japan
Published online on: December 23, 2016 https://doi.org/10.3892/br.2016.831
Pages: 242-250

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Abstract

The aim of the present study was to examine the association of renal function with clinical parameters and conditions in the general population. Study subjects comprised 6,027 community‑dwelling individuals who were recruited to the Inabe Health and Longevity Study: A longitudinal genetic epidemiological study of atherosclerotic, cardiovascular and metabolic diseases. The cutoff value, which was used to divide the subjects into those with normal and those with low estimated glomerular filtration rate (eGFR), was 60 ml/min/1.73 m2. Bonferroni's correction was applied to establish the statistical significance of the association. Longitudinal analysis using the generalized linear mixed‑effect model, following adjustments for age and gender, revealed that the eGFR was significantly associated (P<0.0017) with serum levels of triglycerides, low‑density lipoprotein cholesterol, uric acid, blood glycosylated hemoglobin content, fasting plasma glucose and body mass index. These parameters decreased curvilinearly with increases in eGFR. Furthermore, eGFR correlated positively with serum levels of high‑density lipoprotein (HDL) cholesterol. Longitudinal analysis using the generalized estimating equation following adjustment for age and gender indicated a significant association (P<0.0024) between eGFR and prevalence of hypertension, type 2 diabetes mellitus, hypo‑HDL cholesterolemia, hyperuricemia and obesity. Thus, low eGFR results in detrimental effects on various clinical parameters and conditions, resulting in increased risk of hypertension, dyslipidemia, type 2 diabetes mellitus, hyperuricemia and obesity.

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