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Babaahmadi-Rezaei H, Raeisizadeh M, Zarezade V, Noemani K, Mashkournia A, Ghaderi-Zefrehi H. Comparison of atherogenic indices for predicting the risk of metabolic syndrome in Southwest Iran: results from the Hoveyzeh Cohort Study (HCS). Diabetol Metab Syndr 2024; 16:112. [PMID: 38783371 PMCID: PMC11112906 DOI: 10.1186/s13098-024-01349-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 05/09/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND Metabolic syndrome (MetS) is a cluster of risk factors related to diabetes and cardiovascular disease (CVD). Given that early identification of MetS might decrease CVD risk, it is imperative to establish a simple and cost-effective method to identify individuals at risk of MetS. The purpose of this study was to explore the relationships between several atherogenic indices (including AIP, TyG index, non-HDL-C, LDL-c/HDL-c, and TC/HDL-c) and MetS, and to assess the ability of these indices to predict MetS. METHODS The present cross-sectional study was conducted using baseline data from 9809 participants of the Hoveyzeh Cohort Study (HCS). MetS was defined based on the International Diabetes Federation (IDF). To examine the discriminatory abilities of each atherogenic indices in the identification of MetS, a receiver-operating characteristic curve was conducted. Logistic regression analysis was also performed to evaluate the relationship between atherogenic indices and MetS. RESULTS All of the atherogenic indices including the TyG index, AIP, non-HDL-C, TC/HDL-c, and LDL-c/HDL-c were significantly higher in participants with MetS than in those without MetS. According to the ROC curve analysis, the TyG index revealed the highest area under the curve (0.79 and 0.85 in men and women, respectively), followed by the AIP (0.76 and 0.83 in men and women, respectively). The best cutoff values for the TyG index and AIP were 8.96 and 0.16 for men and 8.84 and 0.05 for women, respectively. The TyG index and AIP were also strongly associated with MetS. CONCLUSION Among the 5 atherogenic indices evaluated, the TyG index and AIP were strongly related to MetS. The TyG index also demonstrated superior discriminative ability compared to other atherogenic indices in predicting MetS.
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Affiliation(s)
- Hossein Babaahmadi-Rezaei
- Hyperlipidemia Research Center, Department of Clinical Biochemistry, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Maedeh Raeisizadeh
- Department of Biostatistics and Epidemiology, School of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | | | - Kourosh Noemani
- Department of Disease Prevention and Control, Deputy of Health Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Ahmad Mashkournia
- Department of Internal Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Hossein Ghaderi-Zefrehi
- Hyperlipidemia Research Center, Department of Clinical Biochemistry, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
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Chen X, Shi F, Xiao J, Huang F, Cheng F, Wang L, Ju Y, Zhou Y, Jia H. Associations Between Abdominal Obesity Indices and Nonalcoholic Fatty Liver Disease: Chinese Visceral Adiposity Index. Front Endocrinol (Lausanne) 2022; 13:831960. [PMID: 35360076 PMCID: PMC8960385 DOI: 10.3389/fendo.2022.831960] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 02/14/2022] [Indexed: 12/20/2022] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) is a common chronic liver metabolic disease worldwide. Up to 70%-80% of patients with NAFLD were obese, especially abdominal obesity. Many indicators of abdominal obesity have been reported, including waist circumference (WC), visceral obesity index (VAI), lipid accumulation (LAP), and Chinese VAI (CVAI). However, few studies investigated the associations between these indices with NAFLD. This present study aims to explore the associations between abdominal obesity indices with NAFLD. A total of 7,238 participants were involved in the cross-sectional study, and 1,584 participants were included in the longitudinal study from Jidong communities. NAFLD was assessed by abdominal ultrasonography. The trajectory of WC, VAI, LAP, and CVAI during 2013-2016 was identified by a group-based trajectory model. The logistic regression and Cox proportional hazards models analyzed the correlations and causality between abdominal obesity indices with NAFLD. In this study, the prevalence and incidence of NAFLD are approximately 44% and 26%, respectively. In the cross-sectional study, WC, VAI, LAP, and CVAI are associated with NAFLD. After adjustment for potential confounders, the moderate-rising and high-rising groups of CVAI had the highest risk of NAFLD in longitudinal analysis (hazard ratio (HR): 3.903, 95%CI: 2.434-6.259; HR: 5.694 95%CI: 3.098-10.464, respectively). Receiving operating characteristic curves show that CVAI has the best diagnostic value for NAFLD (area under the curve (AUC) = 0.868). CVAI is independently associated with the risk of NAFLD and may also have an important value to the diagnosis of NAFLD.
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Affiliation(s)
- Xueyu Chen
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Fengxue Shi
- Department of Clinical Skills Center, School of Clinical Medicine, Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, China
| | - Juan Xiao
- Center of Evidence-Based Medicine, Institute of Medical Sciences, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Fengyan Huang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Fang Cheng
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Lihua Wang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Yanli Ju
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Yong Zhou
- Clinical Research Institute, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- *Correspondence: Yong Zhou, ; Hongying Jia,
| | - Hongying Jia
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- Center of Evidence-Based Medicine, Institute of Medical Sciences, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- *Correspondence: Yong Zhou, ; Hongying Jia,
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Shao MJ, Luo JY, Shi J, Liu F, Shan CF, Luo F, Yu XL, Zhao Q, Tian T, Li XM, Yang YN. Association of Visceral Obesity-Related Indices With Coronary Collateralization in Patients With Chronic Total Occlusion. Front Cardiovasc Med 2021; 8:742855. [PMID: 34746259 PMCID: PMC8566720 DOI: 10.3389/fcvm.2021.742855] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Accepted: 09/24/2021] [Indexed: 01/20/2023] Open
Abstract
Background: Obesity is an independent risk factor for cardiovascular disease. We investigated whether and to what extent visceral obesity-related indices were associated with coronary collateralization (CC) in chronic total occlusion (CTO) patients. Methods: This retrospective cohort study involved 1,008 consecutive patients with CTO who underwent CTO-percutaneous coronary artery intervention (PCI). CC was graded according to the Rentrop scoring system. Data on demographic and clinical characteristics were collected by cardiovascular doctors. Logistic regression, receiver operating characteristic (ROC) curve and Kaplan-Meier analyses were performed to assess the predictive value of visceral obesity-related indices for CC. Results: Overall, 1,008 inpatients were assigned to the poor CC group (n = 592) and good CC group (n = 416). In multivariate-adjusted logistic regression analyses, all visceral obesity-related indices (P-value < 0.001) were significantly associated with CC. After ROC analysis and the Delong test, the Chinese visceral adiposity index (CVAI) had the largest area under the curve (AUC) of 0.741 (0.711–0.771). Further analysis revealed that CVAI quartile remained a risk factor for poor CC in all groups, CVAI was associated with a 1.018-fold higher risk of poor CC (OR = 1.018, 95% CI: 1.014–1.021, P < 0.001). Individuals in the top CVAI quartile group had the highest risk of poor CC (OR = 10.657, 95% CI: 6.492–17.493, P < 0.001). Subgroup analyses showed similar results, and CVAI quartile remained a risk factor for poor CC. Moreover, increased CVAI predicted poor prognosis in CTO patients. Conclusion: In summary, this study indicated that all the increased visceral obesity-related indices were significantly associated with increased poor CC risk. After adjusting for potential risks, CVAI had the best performance for estimating CC and predicting prognosis in CTO patients.
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Affiliation(s)
- Meng-Jiao Shao
- Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Jun-Yi Luo
- Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Jia Shi
- Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Fen Liu
- Xinjiang Key Laboratory of Cardiovascular Disease Research, Clinical Medical Research Institute of First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Chun-Fang Shan
- Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Fan Luo
- Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Xiao-Lin Yu
- Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.,Department of Cardiology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China
| | - Qian Zhao
- Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Ting Tian
- Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Xiao-Mei Li
- Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.,Xinjiang Key Laboratory of Cardiovascular Disease Research, Clinical Medical Research Institute of First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Yi-Ning Yang
- Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.,Xinjiang Key Laboratory of Cardiovascular Disease Research, Clinical Medical Research Institute of First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.,Department of Cardiology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China
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