scholarly journals The Accuracy of Visceral Adiposity Index for the Screening of Metabolic Syndrome: A Systematic Review and Meta-Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Moniba Bijari ◽  
Sara Jangjoo ◽  
Nima Emami ◽  
Sara Raji ◽  
Mahdi Mottaghi ◽  
...  

Background and Aims. Visceral adiposity index (VAI) is a novel marker of fat distribution and function which incorporates both anthropometric and laboratory measures. Recently, several studies have suggested VAI as a screening tool for metabolic syndrome (MetS). Here, we aimed to consolidate the results of these studies by performing a systematic review and meta-analysis. Methods and Results. We searched PubMed and EMBASE online databases for eligible studies that investigated the association of VAI and MetS. After reviewing 294 records, we included 33 eligible papers with a sum of 20516 MetS and 53242 healthy participants. The risk of bias in the included studies was assessed, and the relevant data was extracted. All included studies reported a significant association between VAI and MetS screening, but were highly heterogeneous in their reported effects. We pooled the diagnostic test accuracy metrics of VAI for MetS screening and showed that it has a moderate-to-high accuracy with an area under the summary receiver operating characteristics curve of 0.847, a pooled sensitivity of 78%, and a pooled specificity of 79%. Besides, we pooled the difference in means of VAI between patients with MetS and healthy controls, revealing that VAI was 2.15 units higher in MetS patients. Conclusions. VAI is an accurate, low-cost, and widely available screening marker for MetS. However, further studies are needed to evaluate its applicability in clinical practice, determine an optimal cut-off, and identify populations that would benefit the most from it.

2021 ◽  
Vol 8 (6) ◽  
pp. A152-157
Author(s):  
Asha Augusthy ◽  
Suchanda Sahu ◽  
Ashok Kumar Jeppu

Background: Diabetes mellitus is a metabolic disease known by chronic hyperglycemia which results from defective insulin action and secretion. Metabolic Syndrome consists of a constellation of metabolic abnormalities that confer increased risk of diabetes mellitus. The aim of our study is to find out whether non-invasive, clinically measurable surrogates could be useful in identifying body fat distribution and help predict metabolic syndrome and diabetes risk and to compare the performance of anthropometric indices with lipid indices in identifying metabolic syndrome and diabetes. Methods: 50 individuals with metabolic syndrome ,50 individuals with type 2 diabetes mellitus and 50 controls were selected by purposive sampling technique. For cases and controls history was taken, physical examination was done .Fasting blood sugar, Serum High density lipoprotein and Serum Triglyceride levels were estimated. Body mass index, a body shape index, visceral adiposity index, lipid accumulation factor was calculated. Results: The mean values visceral adiposity index, lipid accumulation factor were significantly increased (p<0.001) in cases compared to controls. Conclusion: Our study concluded that lipid indices visceral adiposity index, lipid accumulation factor is better than anthropometric indices like body mass index, a body shape index in predicting metabolic syndrome and type 2 diabetes mellitus. Anthropometric indices when used should be correlated with metabolic variables and clinical symptoms.


2017 ◽  
Vol 54 (4) ◽  
pp. 176-183
Author(s):  
Valmore J. Bermúdez ◽  
Juan Salazar ◽  
Roberto Añez ◽  
José Ramón Rivas-Ríos ◽  
Mervin Chávez-Castillo ◽  
...  

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