The Visceral Adiposity Index Is a Predictor of Incident Chronic Kidney Disease: A Population-Based Longitudinal Study

Background and Aims: Visceral adiposity index (VAI), calculated with body mass index, high density lipoprotein-cholesterol, triglycerides and waist circumference, has been proposed as a marker of visceral fat accumulation and dysfunction in adipose tissue. Methods: The impact of VAI on incident chro...

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Main Authors: Ryo Bamba (Author), Takuro Okamura (Author), Yoshitaka Hashimoto (Author), Masahide Hamaguchi (Author), Akihiro Obora (Author), Takao Kojima (Author), Michiaki Fukui (Author)
Format: Book
Published: Karger Publishers, 2020-03-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Ryo Bamba  |e author 
700 1 0 |a Takuro Okamura  |e author 
700 1 0 |a Yoshitaka Hashimoto  |e author 
700 1 0 |a Masahide Hamaguchi  |e author 
700 1 0 |a Akihiro Obora  |e author 
700 1 0 |a Takao Kojima  |e author 
700 1 0 |a Michiaki Fukui  |e author 
245 0 0 |a The Visceral Adiposity Index Is a Predictor of Incident Chronic Kidney Disease: A Population-Based Longitudinal Study 
260 |b Karger Publishers,   |c 2020-03-01T00:00:00Z. 
500 |a 1420-4096 
500 |a 1423-0143 
500 |a 10.1159/000506461 
520 |a Background and Aims: Visceral adiposity index (VAI), calculated with body mass index, high density lipoprotein-cholesterol, triglycerides and waist circumference, has been proposed as a marker of visceral fat accumulation and dysfunction in adipose tissue. Methods: The impact of VAI on incident chronic kidney disease (CKD) in a historical cohort study of 15,159 (8,260 men and 6,899 women) participants was investigated. CKD was defined when estimated glomerular filtration rate was <60 mL/min/1.73 m2 or proteinuria (positive: ≥1+). We divided the participants into 2 groups according to sex and into quartiles according to VAI (Q1-4). We performed Cox proportional hazard models, adjusting for age, smoking status, exercise, alcohol consumption, systolic blood pressure, hemoglobin A1c, uric acid, and creatinine. Results: During the median 3.3-year follow-up for men and 3.2-year follow-up for women, 1,078 participants (629 men and 449 women) developed CKD. The 4,000 days cumulative incidence rate of CKD for men and women were 3.7 and 3.9% in Q1, 5.2 and 5.9% in Q2, 6.5 and 7.0% in Q3, and 8.4 and 9.3% in Q4 respectively. Compared to Q1, the hazard ratios of incident CKD in Q2, Q3 and Q4 for men and women were 1.23 (95% CI 0.91-1.66, p = 0.184) and 1.30 (0.87-1.96, p = 0.203), 1.42 (1.06-1.90, p = 0.018) and 1.38 (0.94-2.05, p = 0.105), and 1.51 (1.12-2.02, p = 0.006) and 1.65 (1.12-2.46, p = 0.013) respectively. Additionally, the area under the curve of VAI for incidence of CKD was superior to that of VAI in men (0.595 vs. 0.552, p < 0.001) and equal to in women (0.597 vs. 0.591, p = 0.708). Conclusions: The VAI can be a predictor of incident CKD. 
546 |a EN 
690 |a chronic kidney disease 
690 |a risk factors 
690 |a visceral adiposity index 
690 |a Dermatology 
690 |a RL1-803 
690 |a Diseases of the circulatory (Cardiovascular) system 
690 |a RC666-701 
690 |a Diseases of the genitourinary system. Urology 
690 |a RC870-923 
655 7 |a article  |2 local 
786 0 |n Kidney & Blood Pressure Research, Pp 1-12 (2020) 
787 0 |n https://www.karger.com/Article/FullText/506461 
787 0 |n https://doaj.org/toc/1420-4096 
787 0 |n https://doaj.org/toc/1423-0143 
856 4 1 |u https://doaj.org/article/f1ce2eaa98ae44f7bb70f2eee8bc9ec2  |z Connect to this object online.