Visceral Adiposity Index as a Predictor of Chronic Kidney Disease in a Relatively Healthy Population in Taiwan

2018 ◽  
Vol 28 (2) ◽  
pp. 91-100 ◽  
Author(s):  
Yi-Chuan Chen ◽  
Shih-Han Lai ◽  
Yi-Wen Tsai ◽  
Shy-Shin Chang
2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Zelal Adibelli ◽  
Soycan Mizrak ◽  
Cevdet Duran

Abstract Background and Aims Obesity is becoming an important health problem as its prevalence is increasing. Obesity is also a factor that causes an increase in chronic kidney disease (CKD) cases by facilitating the development of diabetes and hypertension, which leads to CKD, and by a direct effect on the kidney and endocrine mechanism. Obesity is generally defined by body mass index (BMI), which is not a good indicator for visceral adipose tissue (VAT), as visceral fat has been shown to be more metabolically active. A new method called the visceral adiposity index (VAI) has been developed, which is considered to be an indicator for the metabolic function of VAT. Previous studies have confirmed the association between the VAI and CKD prevalence. In this study, we attempted to investigate the association between estimated glomerular filtration rate (eGFR) decline and visceral adiposity. Method Data were collected from 129 patients aged 18-80 years with stage 2-5 CKD and not on dialysis; these patients were followed up in the Nephrology Department of Usak University Hospital between December 2017 and November 2018. Results Of 129 patients with stage 2-5 CKD enrolled in this study, 64 (40.6%) were females and 66 (59.4%) were males. The mean age was 66.8 (35-80 years). The mean VAI values of patients were 2.86±1.63, and the mean eGFR decline was -12.8±19.0 ml/min/1.73m2. No correlation was observed between the VAI values and decline in eGFR in 1 year. Patients with DM had statistically significant higher eGFR decline (p=0.04) and higher VAI values (p=0.03). Conclusion The VAI, which is used to assess the metabolic function of VAT, was not associated with the eGFR decline in 1 year for patients with stage 2-5 CKD.


2020 ◽  
Vol 45 (3) ◽  
pp. 407-418 ◽  
Author(s):  
Ryo Bamba ◽  
Takuro Okamura ◽  
Yoshitaka Hashimoto ◽  
Masahide Hamaguchi ◽  
Akihiro Obora ◽  
...  

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.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Ki-Woong Nam ◽  
Hyung-Min Kwon ◽  
Han-Yeong Jeong ◽  
Jin-Ho Park ◽  
Hyuktae Kwon ◽  
...  

Abstract Visceral adiposity index (VAI) has been associated with various cardio-metabolic diseases; however, there is limited information about its association with cerebrovascular diseases. In this study, we evaluated the relationship between VAI and silent brain infarct (SBI). We evaluated a consecutive series of healthy volunteers over the age of 40 between January 2006 and December 2013. SBI was defined as an asymptomatic, well-defined lesion with a diameter ≥ 3 mm with the same signal characteristics as the cerebrospinal fluid. VAI was calculated using sex-specific equations as described in previous studies. A total of 2596 subjects were evaluated, and SBI was found in 218 (8%) participants. In multivariable analysis, VAI (adjusted odds ratio [aOR] = 1.30; 95% confidence interval [CI] 1.03–1.66; P = 0.030) remained a significant predictor of SBI after adjustment for confounders. The close relationship between VAI and SBI was prominent only in females (aOR = 1.44; 95% CI 1.00–2.07; P = 0.048). In the evaluation between VAI and the burden of SBI, VAI showed a positive dose–response relationship with the number of SBI lesions (P for trend = 0.037). High VAI was associated with a higher prevalence and burden of SBI in a neurologically healthy population.


2020 ◽  
Author(s):  
Ki-Woong Nam ◽  
Hyung-Min Kwon ◽  
Han-Yeong Jeong ◽  
Jin-Ho Park ◽  
Hyuktae Kwon ◽  
...  

Abstract Background Visceral adiposity index (VAI) is a novel indicator of the mass and function of visceral adipose tissue, and it has been associated with metabolic disease, cardiovascular disease, and subclinical atherosclerosis; however, there is limited information about its association with cerebrovascular diseases, especially in subclinical pathology. In this study, we evaluated the relationship between VAI and silent brain infarct (SBI) in a healthy population. Methods We evaluated a consecutive series of healthy volunteers over the age of 40 between January 2006 and December 2013. SBI was defined as an asymptomatic, well-defined lesion with a diameter ≥ 3 mm with the same signal characteristics as the cerebrospinal fluid on T1- or T2 weighted images. VAI was calculated using sex-specific equations as described in previous studies, and was based on a number of parameters including waist circumference, triglycerides, high-density lipoprotein cholesterol, and body mass index. Results A total of 2,596 subjects were evaluated (mean age 56y, male sex: 54%), and SBI was found in 218 (8%) participants. In multivariable analysis, VAI (adjusted odds ratio [aOR] = 1.30; 95% confidence interval [CI] = 1.03–1.66; P = 0.030) remained a significant predictor of SBI after adjustment for confounders. On the other hand, visceral adipose tissue area on computed tomography did not show any statistical significance with SBI. The close relationship between VAI and SBI was prominent only in females (aOR = 1.44; 95% CI = 1.00-2.07; P = 0.048). In the evaluation between VAI and the burden of SBI, VAI showed a positive dose-response relationship with the number of SBI lesions (P for trend = 0.037). Conclusions High VAI was associated with a higher prevalence and burden of SBI in a neurologically healthy population, especially in females. Our findings indicate that VAI could be used as a simple and convenient predictor for SBI.


Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 2091-P
Author(s):  
CHRISTOPH H. SAELY ◽  
ALEXANDER VONBANK ◽  
CHRISTINE HEINZLE ◽  
DANIELA ZANOLIN ◽  
BARBARA LARCHER ◽  
...  

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