scholarly journals Correlation of visceral adiposity index with chronic kidney disease in the People’s Republic of China: to rediscover the new clinical potential of an old indicator for visceral obesity

2016 ◽  
pp. 489
Author(s):  
Zou ◽  
Yan Zhao ◽  
Zhihong Zhao ◽  
Shuangshuang Zhu ◽  
Xinyu Liu ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Visceral Obesity ◽  
Visceral Adiposity ◽  
Visceral Adiposity Index ◽  
Adiposity Index ◽  
The People ◽  
Clinical Potential

scholarly journals P0749THE ASSOCIATION OF VISCERAL ADIPOSITY INDEX WITH PROGRESSION OF CHRONIC KIDNEY DISEASE

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Zelal Adibelli ◽  
Soycan Mizrak ◽  
Cevdet Duran
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Visceral Adiposity ◽  
University Hospital ◽  
Visceral Adiposity Index ◽  
Metabolic Function ◽  
Adiposity Index ◽  
Important Health ◽  
The Mean ◽  
Egfr Decline

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.

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

2020 ◽  
Vol 45 (3) ◽  
pp. 407-418 ◽  
Author(s):  
Ryo Bamba ◽  
Takuro Okamura ◽  
Yoshitaka Hashimoto ◽  
Masahide Hamaguchi ◽  
Akihiro Obora ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Visceral Adiposity ◽  
Visceral Adiposity Index ◽  
Historical Cohort ◽  
Men And Women ◽  
Adiposity Index ◽  
Incident Chronic Kidney Disease ◽  
The Impact

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.

Chinese visceral adiposity index, a novel indicator of visceral obesity for assessing the risk of incident hypertension in a prospective cohort study

2020 ◽  
pp. 1-9
Author(s):  
Minghui Han ◽  
Ranran Qie ◽  
Quanman Li ◽  
Leilei Liu ◽  
Shengbing Huang ◽  
...  
Keyword(s):  
Cohort Study ◽  
Characteristic Curve ◽  
Visceral Obesity ◽  
Visceral Adiposity ◽  
Sensitivity Analyses ◽  
Cluster Sampling ◽  
Visceral Adiposity Index ◽  
Adiposity Index ◽  
Hypertension Risk ◽  
Obesity Indices

Abstract The present study aimed to investigate the association of the Chinese visceral adiposity index (CVAI) and its 6-year change with hypertension risk and compare the ability of CVAI and other obesity indices to predict hypertension based on the Rural Chinese Cohort Study. Study participants were randomly recruited by a cluster sampling procedure, and 10 304 participants ≥18 years were included. Modified Poisson regression was used to derive adjusted relative risks (RR) and 95 % CI. We identified 2072 hypertension cases during a median of 6·03 years of follow-up. The RR for the highest v. lowest CVAI quartile were 1·29 (95 % CI 1·05, 1·59) for men and 1·53 (95 % CI 1·22, 1·91) for women. Per-sd increase in CVAI was associated with hypertension for both men (RR 1·09, 95 % CI 1·02, 1·16) and women (RR 1·14, 95 % CI 1·06, 1·22). Also, the area under the receiver operating characteristic curve value for hypertension was higher for CVAI than the four other obesity indices for both sexes (all P < 0·05). Finally, per-sd increase in CVAI change was associated with hypertension for both men (RR 1·26, 95 % CI 1·16, 1·36) and women (RR 1·23, 95 % CI 1·15, 1·30). Similar results were observed in sensitivity analyses. CVAI and its 6-year change are positively associated with hypertension risk. CVAI has better performance in predicting hypertension than other visceral obesity indices for both sexes. The current findings suggest CVAI as a reliable and applicable predictor of hypertension in rural Chinese adults.

scholarly journals Comparison of novel visceral obesity indexes with traditional obesity measurements in predicting of metabolically unhealthy nonobese phenotype in hemodialysis patients

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Chaomin Zhou ◽  
Yanzhe Peng ◽  
Wenyong Jiang ◽  
Jing Yuan ◽  
Yan Zha
Keyword(s):  
Abdominal Obesity ◽  
Visceral Obesity ◽  
Hemodialysis Patients ◽  
Overweight And Obesity ◽  
Visceral Adiposity ◽  
Guizhou Province ◽  
Maintenance Hemodialysis ◽  
Visceral Adiposity Index ◽  
Adiposity Index ◽  
Obesity Indices

Abstract Background Normal-weight maintenance hemodialysis (MHD) patients with abdominal obesity exhibited a more proatherogenic profile than overweight and obesity patients with abdominal obesity, highlighting the importance of early identification of metabolically unhealthy nonobese (MUNO) in this population. Visceral fat accumulation plays a crucial role in the development of MUNO. Lipid accumulation product (LAP), visceral adiposity index (VAI) have been proved as reliable visceral obesity markers. The Chinese visceral adiposity index (CVAI) and a body shape index (ABSI) are newly discovered indexes of visceral obesity and have been reported to be associated with multiple metabolic disorders. There are limited studies investigating the associations between different visceral obesity indices and risk of MUNO, especially in hemodialysis patients. Moreover, no general agreement has been reached to date regarding which of these obesity indices performs best in identifying MUNO. We aimed to investigate the prevalence of MUNO in MHD patients and compare the associations between different adiposity indices (CVAI, ABSI,VAI, LAP, body mass index (BMI), waist circumference (WC) and waist-to-hip ratio (WHtR)) with MUNO risk in this population. Methods We conducted a multi-center cross-sectional study in Guizhou Province, Southwest China. 1302 nonobese adult MHD patients were included in our study. MUNO was defined as being nonobese and having the presence of > = 2 components of metabolic syndrome (MetS). Nonobese was defined as BMI less than 25 kg/m2. VAI, LAP, CVAI, ABSI, BMI, WC and WHtR were calculated. Logistic regression analyses and receiver operator curve (ROC) analyses were performed. Results 65.6% participants were metabolically unhealthy. The ROC curve analysis demonstrated that of the seven obesity indices tested, the VAI (AUC 0.84 for women and 0.79 for men) followed by LAP (AUC 0.78 for women and 0.72 for men) had the highest diagnostic accuracy for MUNO phenotype while ABSI exhibited the lowest AUC value for identifying MUNO phenotype Conclusions Metabolically unhealthy is highly prevalent in nonobese MHD patients. VAI and LAP outperformed CVAI in discriminating MUNO in MHD patients. Though ABSI could be a weak predictor of MUNO, it is not better than WHtR, WC and BMI.

464-P: Visceral Adiposity Index Identifies Both Type 2 Diabetes Mellitus and Prediabetes Better than Established Indices of Visceral Obesity in a Pad Cohort

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 464-P
Author(s):  
BERNHARD ZIERFUSS ◽  
CLEMENS HOEBAUS ◽  
CARSTEN T. HERZ ◽  
RENATE KOPPENSTEINER ◽  
GERIT-HOLGER SCHERNTHANER
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Visceral Obesity ◽  
Visceral Adiposity ◽  
Visceral Adiposity Index ◽  
Adiposity Index ◽  
Better Than
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