1
|
Deng R, Chen W, Zhang Z, Zhang J, Wang Y, Sun B, Yin K, Cao J, Fan X, Zhang Y, Liu H, Fang J, Song J, Yu B, Mi J, Li X. Association Between Visceral Obesity Index and Diabetes: A Systematic Review and Meta-analysis. J Clin Endocrinol Metab 2024; 109:2692-2707. [PMID: 38709677 PMCID: PMC11403314 DOI: 10.1210/clinem/dgae303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 04/14/2024] [Accepted: 05/01/2024] [Indexed: 05/08/2024]
Abstract
CONTENT The correlation between visceral obesity index (VAI) and diabetes and accuracy of early prediction of diabetes are still controversial. OBJECTIVE This study aims to review the relationship between high level of VAI and diabetes and early predictive value of diabetes. DATA SOURCES The databases of PubMed, Cochrane, Embase, and Web of Science were searched until October 17, 2023. STUDY SELECTION After adjusting for confounding factors, the original study on the association between VAI and diabetes was analyzed. DATA EXTRACTION We extracted odds ratio (OR) between VAI and diabetes management after controlling for mixed factors, and the sensitivity, specificity, and diagnostic 4-grid table for early prediction of diabetes. DATA SYNTHESIS Fifty-three studies comprising 595 946 participants were included. The findings of the meta-analysis elucidated that in cohort studies, a high VAI significantly increased the risk of diabetes mellitus in males (OR = 2.83 [95% CI, 2.30-3.49]) and females (OR = 3.32 [95% CI, 2.48-4.45]). The receiver operating characteristic, sensitivity, and specificity of VAI for early prediction of diabetes in males were 0.64 (95% CI, .62-.66), 0.57 (95% CI, .53-.61), and 0.65 (95% CI, .61-.69), respectively, and 0.67 (95% CI, .65-.69), 0.66 (95% CI, .60-.71), and 0.61 (95% CI, .57-.66) in females, respectively. CONCLUSION VAI is an independent predictor of the risk of diabetes, yet its predictive accuracy remains limited. In future studies, determine whether VAI can be used in conjunction with other related indicators to early predict the risk of diabetes, to enhance the accuracy of prediction of the risk of diabetes.
Collapse
Affiliation(s)
- Ruixue Deng
- College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130000, Jilin, China
| | - Weijie Chen
- College of Traditional Chinese Medicine, The First Affiliated Hospital of Changchun University of Chinese Medicine, Changchun 130000, Jilin, China
| | - Zepeng Zhang
- Research Center of Traditional Chinese Medicine, College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130000, Jilin, China
| | - Jingzhou Zhang
- College of Traditional Chinese Medicine, The First Affiliated Hospital of Changchun University of Chinese Medicine, Changchun 130000, Jilin, China
| | - Ying Wang
- College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130000, Jilin, China
| | - Baichuan Sun
- College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130000, Jilin, China
| | - Kai Yin
- College of Integrated Chinese and Western Medicine, Changchun University of Chinese Medicine, Changchun 130000, Jilin, China
| | - Jingsi Cao
- College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130000, Jilin, China
| | - Xuechun Fan
- College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130000, Jilin, China
| | - Yuan Zhang
- College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130000, Jilin, China
| | - Huan Liu
- College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130000, Jilin, China
| | - Jinxu Fang
- College of Acupuncture and Moxibustion Massage, Changchun University of Chinese Medicine, Changchun 130000, Jilin, China
| | - Jiamei Song
- College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130000, Jilin, China
| | - Bin Yu
- College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130000, Jilin, China
| | - Jia Mi
- Department of Endocrinology, The First Affiliated Hospital of Changchun University of Chinese Medicine, Changchun 130000, Jilin, China
| | - Xiangyan Li
- Northeast Asia Research Institute of Traditional Chinese Medicine, Key Laboratory of Active Substances and Biological Mechanisms of Ginseng Efficacy, Ministry of Education, Jilin Provincial Key Laboratory of Bio-Macromolecules of Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130117, Jilin, China
| |
Collapse
|
2
|
Qin Y, Qiao Y, Wang D, Li M, Yang Z, Li L, Yan G, Tang C. Visceral adiposity index is positively associated with fasting plasma glucose: a cross-sectional study from National Health and Nutrition Examination Survey 2017-2020. BMC Public Health 2023; 23:313. [PMID: 36774500 PMCID: PMC9922465 DOI: 10.1186/s12889-023-15231-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 02/07/2023] [Indexed: 02/13/2023] Open
Abstract
BACKGROUND Visceral adiposity index (VAI) has been recognized as a reliable indicator for visceral adiposity. However, it remains largely unexplored on its association with fasting plasma glucose (FPG). The current study aims to explore the association between VAI and FPG using a representative dataset. METHODS A cross-sectional study was carried out based on the dataset from National Health and Nutrition Examination Survey (NHANES) 2017-2020. Univariate and Multiple linear regression analysis were performed to explore the relationship between VAI and FPG. Generalized additive model (GAM) and smooth curve fitting analysis were performed to explore the nonlinear relationship between VAI and FPG. Receiver operating characteristic (ROC) analysis was used to evaluate the predictive value of VAI for FPG elevation. RESULTS A total of 4437 participants with complete data were finally included in the research. Individuals were divided into 4 quartiles according to the calculated VAI value: Q1 (VAI<0.69), Q2 (0.69 ≤ VAI < 1.18), Q3 (1.18 ≤ VAI < 2.02) and Q4 (VAI ≥ 2.02). FPG significantly increased with the increasing VAI quartile. Multiple linear regression analysis showed VAI was independently positively associated with FPG after adjusting confounding factors. As a continuous variable, an increase of one unit in VAI was correlated with 0.52 mmol/L (95% CI: 0.41-0.63, p < 0.0001) higher FPG level. As a categorical variable, 4th VAI quartile group was related to 0.71 mmol/L (95% CI: 0.47-0.95, p < 0.001) higher FPG level compared with 1st VAI group. GAM and smooth curve fitting analysis identified the non-linear relationship between VAI and FPG, and 4.02 was identified as the inflection point using two-piecewise linear regression. The positive association between VAI and FPG existed when VAI was lower (β = 0.73, p < 0.0001) and higher than 4.02 (β = 0.23, p = 0.0063). ROC analysis indicated VAI has a good predictive value for FPG elevation (AUC = 0.7169, 95% CI: 0.6948-0.7389), and the best threshold of VAI was 1.4315. CONCLUSION VAI was an independently risk indicator for FPG, and VAI was nonlinearly positively associated with FPG. VAI had a good predictive value for elevated FPG. VAI might become a useful indicator for risk assessment and treatment of hyperglycemia in clinical practice.
Collapse
Affiliation(s)
- Yuhan Qin
- grid.263826.b0000 0004 1761 0489Department of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 210009 Jiangsu China
| | - Yong Qiao
- grid.263826.b0000 0004 1761 0489Department of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 210009 Jiangsu China
| | - Dong Wang
- grid.263826.b0000 0004 1761 0489Department of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 210009 Jiangsu China
| | - Mingkang Li
- grid.263826.b0000 0004 1761 0489Department of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 210009 Jiangsu China
| | - Zhanneng Yang
- grid.263826.b0000 0004 1761 0489Department of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 210009 Jiangsu China
| | - Linqing Li
- grid.263826.b0000 0004 1761 0489Department of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 210009 Jiangsu China
| | - Gaoliang Yan
- Department of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 210009, Jiangsu, China.
| | - Chengchun Tang
- Department of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 210009, Jiangsu, China.
| |
Collapse
|
3
|
Zhao Q, Cheng YJ, Xu YK, Zhao ZW, Liu C, Sun TN, Zhou YJ. Visceral Adiposity Index Plays an Important Role in Prognostic Prediction in Patients With Non-ST-Segment Elevation Acute Coronary Syndrome and Type 2 Diabetes Mellitus Undergoing Percutaneous Coronary Intervention. Front Cardiovasc Med 2021; 8:735637. [PMID: 34869637 PMCID: PMC8636737 DOI: 10.3389/fcvm.2021.735637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Accepted: 10/18/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Visceral adiposity index (VAI), a surrogate marker of adiposity and insulin resistance, has been demonstrated to be significantly related to cardiovascular disease. It remains indistinct whether VAI predicts adverse prognosis after percutaneous coronary intervention (PCI) for patients with non-ST-segment elevation acute coronary syndrome (NSTE-ACS) and type 2 diabetes mellitus (T2DM). Methods: A total of 798 participants who met the enrollment criteria were finally brought into this study. VAI was determined by waist circumference, body mass index, fasting triglyceride, and high-density lipoprotein cholesterol as previously reported. Adverse prognosis included all-cause death, non-fatal myocardial infarction, non-fatal ischemic stroke, and ischemia-driven revascularization, the composite of which was defined as the primary endpoint. Results: Higher VAI maintained as a significant and independent risk predictor for the primary endpoint, regardless of the adjustment for the various multivariate models [hazard ratio (95% CI) for fully adjusted model: 2.72 (2.02-3.68), p < 0.001]. The predictive value of VAI was further confirmed in sensitivity analysis where VAI was taken as a continuous variate. There was a dose-response relationship of VAI with the risk of the primary endpoint (p for overall association < 0.001). Moreover, the ability of VAI on the prediction of the primary endpoint was consistent between subgroups stratified by potential confounding factors (all p for interaction > 0.05). VAI exhibited a significant incremental effect on risk stratification for the primary endpoint beyond existing risk scores, expressed as increased Harrell's C-index, significant continuous net reclassification improvement, and significant integrated discrimination improvement. Conclusion: VAI is a significant indicator for predicting worse prognosis and plays an important role in risk stratification among patients with NSTE-ACS and T2DM undergoing elective PCI. The present findings require further large-scale, prospective studies to confirm.
Collapse
Affiliation(s)
| | | | | | | | | | | | - Yu-Jie Zhou
- Clinical Center for Coronary Heart Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Department of Cardiology, Beijing Anzhen Hospital, Beijing Institute of Heart Lung and Blood Vessel Disease, Capital Medical University, Beijing, China
| |
Collapse
|