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ORIGINAL RESEARCH

Metabolism Score for Visceral Fat (METS-VF): A New Predictive Surrogate for CKD Risk

, , , , , , ORCID Icon & show all
Pages 2249-2258 | Published online: 29 Jul 2022
 

Abstract

Purpose

Metabolic disorders are closely related to the occurrence and development of chronic kidney disease (CKD). We explored the prospective association between the Metabolic Score for Visceral Fat (METS-VF) and CKD in a 5-year follow-up study.

Patients and Methods

In this cohort study, 631 adults not suffering from CKD from Wanzhai Town, in China in 2012 were included at baseline and followed up in 2017 and 2018. Multivariable logistic regression was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) for the association between METS-VF and CKD risk. Area under the receiver operating characteristic curve (AUC) analyses were used to evaluate the ability of METS-VF, waist-to-height ratio (WhtR), visceral adiposity index (VAI), homeostatic model assessment of insulin resistance (HOMA-IR), body mass index (BMI) to predict CKD risk.

Results

We identified 103 CKD cases during follow-up. After adjustment for confounding factors, comparing the lowest quartile of METS-VF, the OR (95% CI) of CKD risk in the highest quartile was 3.04 (1.39–6.64). The per Standard deviation (SD) increase in METS-VF was positively correlated with CKD risk. The AUC of METS-VF for predicting CKD risk was, in general, higher than that for WhtR, VAI, HOMA-IR, and BMI.

Conclusion

METS-VF may be an indicator for predicting CKD risk.

Disclosure

The authors report no conflicts of interest in this work.

Additional information

Funding

This study was supported by the Shenzhen Municipal Science and Technology Innovation Commission Stability Support Program for Higher Education Institutions (20200822123122001), Key Technology Research Project of Shenzhen Science and Technology Innovation Commission (JSGG20200225152709802), Science and Technique Program of Guangzhou (81873620), Guangdong Province Basic and Applied Basic Research Fund Project (2021A1515010972), Provincial Major Projects of Education Department of Guangdong Province (Natural Science) (2014KZDXM019), and General project of Guangdong Provincial Administration of Traditional Chinese Medicine (20202125).