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Chen K, Wang G, Hu JC, Zhou YY, Ma HT. Clinical significance of Ki-67 in patients with lung adenocarcinoma in situ complicated by type 2 diabetes. World J Diabetes 2025; 16:98423. [DOI: 10.4239/wjd.v16.i2.98423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2024] [Revised: 10/22/2024] [Accepted: 12/05/2024] [Indexed: 12/30/2024] Open
Abstract
BACKGROUND The increasing number of type 2 diabetes mellitus (T2DM) patients leads to higher rates of morbidity and mortality related to lung cancer.
AIM To investigate the utility of the proliferating cell nuclear antigen Ki-67 in patients with lung adenocarcinoma in situ (AIS) complicated by T2DM.
METHODS One hundred patients with AIS and T2DM (group A), 100 patients with AIS alone (group B), and 60 patients with benign lung lesions (group C) admitted to the Department of Thoracic Surgery and Endocrinology of the First Affiliated Hospital of Soochow University from November 2021 to December 2022 were enrolled. Ki-67 expression was compared among the groups.
RESULTS Group A had significantly higher levels of fasting plasma glucose (FPG), total cholesterol (TC), total triglyceride, low-density lipoprotein cholesterol, glycosylated hemoglobin (HbA1c), and insulin than groups B and C (P < 0.01). Meanwhile, group B had higher insulin levels than group C (P < 0.01). Group A exhibited a significantly higher average Ki-67 positivity rate than group B (P < 0.01). The Ki-67 positivity rate in group A was 86.87%, while the positivity rate in group B was 77%. Ki-67 was positively correlated with FPG (P < 0.01) and HbA1c levels (P < 0.01). Ki-67, FBG, insulin, HbA1c, high-density lipoprotein cholesterol and TC were independent factors for patients with AIS complicated by T2DM.
CONCLUSION Ki-67 expression was higher in patients with AIS complicated by T2DM than in patients with AIS alone. Therefore, detecting the Ki-67 level might assist in the diagnosis of AIS in patients with T2DM.
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Affiliation(s)
- Ke Chen
- Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou 215000, Jiangsu Province, China
| | - Ge Wang
- Department of Endocrine, The First Affiliated Hospital of Soochow University, Suzhou 215000, Jiangsu Province, China
| | - Jing-Cheng Hu
- Department of Endocrine, The First Affiliated Hospital of Soochow University, Suzhou 215000, Jiangsu Province, China
| | - Ying-Yi Zhou
- Department of Endocrine, The First Affiliated Hospital of Soochow University, Suzhou 215000, Jiangsu Province, China
| | - Hai-Tao Ma
- Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou 215000, Jiangsu Province, China
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Gounden V, Devaraj S, Jialal I. The role of the triglyceride-glucose index as a biomarker of cardio-metabolic syndromes. Lipids Health Dis 2024; 23:416. [PMID: 39716258 DOI: 10.1186/s12944-024-02412-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2024] [Accepted: 12/16/2024] [Indexed: 12/25/2024] Open
Abstract
BACKGROUND The Triglyceride-glucose (TyG) index represents a simple, cost-effective, and valid proxy for insulin resistance. This surrogate marker has also been proposed as a predictor of metabolic and cardiovascular disease (CVD). In this descriptive review, we aimed to assess the utility of the TyG index as a predictive biomarker of cardiometabolic diseases. METHODS A search was conducted in PubMed, and Web of Science to identify cross-sectional and more importantly prospective studies examining the use of the TyG index as a predictive biomarker. The following terms were utilized in addition to the TyG index: "insulin resistance", "metabolic syndrome", "diabetes"; "cardiovascular diseases". RESULTS This descriptive review included thirty prospective studies in addition to cross-sectional studies. Following adjustment for confounding variables, an elevated TyG index was associated with a significantly increased risk for the development of Metabolic Syndrome (MetS), Type 2 Diabetes, hypertension, and CVD. Also in limited studies, the TyG index was associated with endothelial dysfunction, increased oxidative stress and a pro-inflammatory phenotype. CONCLUSION Overall, our findings support the use of the TyG index as a valid biomarker to assess the risk of developing MetS, T2DM, as well as atherosclerotic cardiovascular disease.
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Affiliation(s)
- Verena Gounden
- Department of Clinical Biochemistry, University Hospital Galway, Galway, H91YR71, Ireland
| | | | - Ishwarlal Jialal
- Internal Medicine and Pathology, UC Davis School of Medicine, 2616 Hepworth Drive, Davis, CA, 95618, US.
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Wang Y, Wang X, Zeng L. Lipid Accumulation Product as a Predictor of Prediabetes and Diabetes: Insights From NHANES Data (1999-2018). J Diabetes Res 2024; 2024:2874122. [PMID: 39559713 PMCID: PMC11573446 DOI: 10.1155/2024/2874122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Revised: 07/08/2024] [Accepted: 10/22/2024] [Indexed: 11/20/2024] Open
Abstract
Background: The study investigates the association between lipid accumulation product (LAP) and the risk of prediabetes and diabetes. LAP, a measure indicating lipid overaccumulation, is hypothesized to be a significant predictor for these conditions. This research utilizes data from the National Health and Nutrition Examination Survey (NHANES) conducted between 1999 and 2018. Methods: The study followed a structured methodology, starting with data extraction from the NHANES database. Participants' eligibility was determined based on specific inclusion and exclusion criteria, resulting in a final sample size of 24,121 individuals. LAP was calculated using established formulas for men and women. The diagnosis of prediabetes and diabetes was based on standard medical criteria, including HbA1c levels, fasting plasma glucose, and oral glucose tolerance test (OGTT) results. Covariates like demographic variables, lifestyle factors, and other health indicators were also considered. Statistical analysis involved categorizing LAP into quartiles and employing logistic regression models to examine the relationship between LAP and the risk of prediabetes and diabetes. Results: Participants in the highest LAP quartile exhibited distinct characteristics: older age, lower education levels, more former smokers and drinkers, higher blood pressure and cholesterol levels, and greater use of medications. A positive association was observed between LAP and the incidence of prediabetes and diabetes across all models. Specifically, each 10-unit increase in LAP was linked to a 22% increase in risk. Nonlinear relationships were also explored, revealing an inflection point in the risk correlation at an LAP value of 68.1. Conclusion: The study concludes that LAP is a significant predictor of prediabetes and diabetes risk, with higher LAP levels correlating with increased risk. This finding underscores the potential of LAP as a useful marker in identifying individuals at higher risk for these conditions. It also highlights the importance of considering LAP in preventive health strategies.
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Affiliation(s)
- Yan Wang
- Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China
- West China School of Nursing, Sichuan University, Chengdu, China
| | - Xiaolan Wang
- Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China
- West China School of Nursing, Sichuan University, Chengdu, China
| | - Ling Zeng
- Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China
- West China School of Nursing, Sichuan University, Chengdu, China
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Lin H, Shi K, Luo S, Ye W, Cai X. Elevated metabolic score for visceral fat was associated with increased prevalence of gallstones in American adults: a cross-sectional study. Front Med (Lausanne) 2024; 11:1474368. [PMID: 39574912 PMCID: PMC11578707 DOI: 10.3389/fmed.2024.1474368] [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: 08/20/2024] [Accepted: 10/28/2024] [Indexed: 11/24/2024] Open
Abstract
Background Metabolic Visceral Fat Score (METS-VF) recently introduced is posited to be a superior metric for assessing visceral adipose tissues (VAT) compared to traditional obesity indexes. This study aims to elucidate the correlation between METS-VF and the incidence of gallstones. Methods In this cross-sectional study, the data from the National Health and Nutrition Examination Survey (NHANES) during the period from 2013 to 2020 were analyzed. And the correlation between METS-VF and the incidence of gallstones was explored through multivariate logistic regression analysis, receiver operating characteristic (ROC) curve, subgroup analysis and restricted cubic spline (RCS) regression. Results This study included 5,975 participants, of whom 645 (10.8%) were gallstone formers. As the quartile range of METS-VF increased, a notable rise in the prevalence of gallstones was observed (3.2% vs. 7.4% vs. 12.1% vs. 20.6%, p < 0.001). Logistic regression analyses indicated a significant positive correlation between METS-VF and the risk of gallstones (OR = 3.075, 95% CI: 2.158, 4.381). Subgroup analyses further revealed a stronger correlation between gallstones and METS-VF in subjects over 50 years old. RCS regression identified a non-linear positive correlation, with an inflection point at 6.698. Finally, the area under the ROC curve (AUC) of METS-VF was significantly larger (AUC = 0.705, 95%: 0.685, 0.725) than those of traditional obesity indexes and other VAT surrogate markers. Conclusion This study is the first to reveal a significant positive correlation between the prevalence of gallstones and METS-VF, with METS-VF outperforming other VAT surrogate markers in the diagnosis of gallstones.
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Affiliation(s)
- Hao Lin
- Department of Gastroenterology, Pingyang Hospital of Wenzhou Medical University, Wenzhou, China
| | - Kexuan Shi
- Department of Emergency Medicine, Pingyang Hospital of Wenzhou Medical University, Wenzhou, China
| | - Shuang Luo
- Department of Gastroenterology, Pingyang Hospital of Wenzhou Medical University, Wenzhou, China
| | - Wu Ye
- Department of Gastroenterology, Pingyang Hospital of Wenzhou Medical University, Wenzhou, China
| | - Xiaoniao Cai
- Department of Gastroenterology, Pingyang Hospital of Wenzhou Medical University, Wenzhou, China
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Wen S, Li Y, Xu C, Jin J, Xu Z, Yuan Y, Chen L, Ren Y, Gong M, Wang C, Dong M, Zhou Y, Yuan X, Li F, Zhou L. The Relationship Between Computerized Face and Tongue Image Segmentation and Metabolic Parameters in Patients with Type 2 Diabetes Based on Machine Learning. Diabetes Metab Syndr Obes 2024; 17:4049-4068. [PMID: 39492959 PMCID: PMC11531271 DOI: 10.2147/dmso.s491897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2024] [Accepted: 10/25/2024] [Indexed: 11/05/2024] Open
Abstract
Objective We aim to examine and reestablish the correlational and linear regression relationships, as well as the predictive value, between the significant facial and tongue features and the metabolic parameters in type 2 diabetes mellitus (T2DM). Materials and Methods From March to May 2024, we studied 269 patients with T2DM in the endocrinology department of Shanghai Pudong Hospital. The patients' facial and tongue characteristics were sampling by a tongue imaging device equipped with artificial intelligence (AI) (XiMaLife, Sinology, China) of automated and advanced machine learning algorithms. Then, the imaging features were examined in relation to the blood examination. Results Multiple facial and tongue features, as well as dimensional facial and tongue color parameters, were significantly correlated with glycated hemoglobin A1c (HbA1c) (r < 0.3, p < 0.05), glycated albumin (GA) (-0.20 < 0.30, p < 0.05), C-peptide (-0.20.20, p < 0.05), plasma insulin (r < 0.30, p < 0.05), fasting plasma glucose (FPG) (r < 0.3, p < 0.05), significant hepatic and renal function indicators (-0.30 < r < 0.20, p<0.05), cardiac injury markers (-0.30 < r < 0.30, p < 0.05), tumor markers (-0.5 < r < 0.5, p < 0.05), thyroid function (-0.15 < r < 0.55, p < 0.05), and blood cell count, including white blood cells (r < 0.2, p < 0.05), and hemoglobin (Hb) (-0.30 < r < 0.3, 0.0001. The correlational results demonstrated that the tongue's characteristics and signs may be linked with the dynamic of the metabolic status of T2DM. In order to examine the causal relationships, we performed linear regression analyses, which revealed that various facial and tongue imaging parameters partially determined the metabolic indicators. The predictive value of imaging features was evaluated by receiver operating characteristic curve (ROC) to assess metabolic status in T2DM. Conclusion This study demonstrated that metabolic status, renal and hepatic, cardiac, and thyroid function, the proportion of blood cells, and Hb in T2DM were intimately associated with facial and tongue features. The precise analysis of facial and tongue features through AI and advanced machine learning could be used to predict T2DM's conditions and progression.
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Affiliation(s)
- Song Wen
- Department of Endocrinology, Shanghai Pudong Hospital, Fudan University, Pudong Medical Center, Shanghai, 201399, People’s Republic of China
- Fudan Zhangjiang Institute, Fudan University, Shanghai, 201203, People’s Republic of China
| | - Yanyan Li
- Department of Endocrinology, Shanghai Pudong Hospital, Fudan University, Pudong Medical Center, Shanghai, 201399, People’s Republic of China
| | - Chenglin Xu
- Department of Endocrinology, Shanghai Pudong Hospital, Fudan University, Pudong Medical Center, Shanghai, 201399, People’s Republic of China
| | - Jianlan Jin
- Department of Endocrinology, Shanghai Pudong Hospital, Fudan University, Pudong Medical Center, Shanghai, 201399, People’s Republic of China
| | - Zhimin Xu
- Department of Endocrinology, Shanghai Pudong Hospital, Fudan University, Pudong Medical Center, Shanghai, 201399, People’s Republic of China
| | - Yue Yuan
- Department of Endocrinology, Shanghai Pudong Hospital, Fudan University, Pudong Medical Center, Shanghai, 201399, People’s Republic of China
| | - Lijiao Chen
- Department of Endocrinology, Shanghai Pudong Hospital, Fudan University, Pudong Medical Center, Shanghai, 201399, People’s Republic of China
| | - Yishu Ren
- Department of Endocrinology, Shanghai Pudong Hospital, Fudan University, Pudong Medical Center, Shanghai, 201399, People’s Republic of China
| | - Min Gong
- Department of Endocrinology, Shanghai Pudong Hospital, Fudan University, Pudong Medical Center, Shanghai, 201399, People’s Republic of China
| | - Congcong Wang
- Department of Endocrinology, Shanghai Pudong Hospital, Fudan University, Pudong Medical Center, Shanghai, 201399, People’s Republic of China
| | - Meiyuan Dong
- Department of Endocrinology, Shanghai Pudong Hospital, Fudan University, Pudong Medical Center, Shanghai, 201399, People’s Republic of China
| | - Yingfan Zhou
- Medical School of Tianjin University, Tianjin, 300072, People’s Republic of China
| | - Xinlu Yuan
- Department of Endocrinology, Shanghai Pudong Hospital, Fudan University, Pudong Medical Center, Shanghai, 201399, People’s Republic of China
| | - Fufeng Li
- Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, People’s Republic of China
| | - Ligang Zhou
- Department of Endocrinology, Shanghai Pudong Hospital, Fudan University, Pudong Medical Center, Shanghai, 201399, People’s Republic of China
- Fudan Zhangjiang Institute, Fudan University, Shanghai, 201203, People’s Republic of China
- Shanghai Key Laboratory of Vascular Lesions Regulation and Remodeling, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, People’s Republic of China
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Wu J, Huang J, Hong M, Xia L, Lin Y, Chen Y, Zou J, Huang S, Chen Y, Huang X. Association of triglyceride-glucose index with diabetes or prediabetes in Chinese hypertensive patients: A retrospective cohort study. Medicine (Baltimore) 2024; 103:e40006. [PMID: 39465859 PMCID: PMC11479436 DOI: 10.1097/md.0000000000040006] [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: 03/22/2024] [Accepted: 09/19/2024] [Indexed: 10/29/2024] Open
Abstract
Insulin resistance is a key factor in diabetes development. This study aimed to investigate the association between baseline triglyceride-glucose (TyG) index, a surrogate marker of insulin resistance, and the onset of hyperglycemia in Chinese individuals with hypertension. Using the Rich Healthcare Group database, this retrospective cohort study included 28,687 hypertensive individuals without preexisting diabetes. A wide range of demographic information and baseline biochemical indicators was collected and rigorously analyzed. This study utilized the Cox proportional hazards model and smooth curve fitting to explore the link between TyG index and the risk of developing hyperglycemia. The robustness of the findings was validated by sensitivity and subgroup analyses. During longitudinal monitoring of hypertensive patients in our retrospective cohort study, we observed that 5.31% (1524/28,687) progressed to diabetes, while 21.66% (4620/21,326) developed prediabetes. After adjusting for confounding variables, a statistically significant positive association was observed between the TyG index and the risk of hyperglycemia. Subgroup and sensitivity analyses further supported these findings, demonstrating consistent outcomes and reinforcing the robustness of our conclusions. The TyG index, which is significantly linked to hyperglycemia in hypertensives, can aid early risk identification and intervention.
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Affiliation(s)
- Juan Wu
- Department of Clinical Laboratory, Jieyang People’s Hospital, Jieyang, Guangdong, China
| | - Jiefeng Huang
- Department of Clinical Laboratory, Jieyang People’s Hospital, Jieyang, Guangdong, China
| | - Miaoling Hong
- Precision Medicine Centre, Puning People’s Hospital, Puning, Guangdong, China
| | - Li Xia
- Department of Clinical Laboratory, Jieyang People’s Hospital, Jieyang, Guangdong, China
| | - Yuye Lin
- Department of Clinical Laboratory, Jieyang People’s Hospital, Jieyang, Guangdong, China
| | - Yiying Chen
- Department of Clinical Laboratory, Jieyang People’s Hospital, Jieyang, Guangdong, China
| | - Junzhong Zou
- Department of Clinical Laboratory, Jieyang People’s Hospital, Jieyang, Guangdong, China
| | - Sicong Huang
- Department of Clinical Laboratory, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Yimei Chen
- Physical Examination Center, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Xudong Huang
- Department of Clinical Laboratory, Jieyang People’s Hospital, Jieyang, Guangdong, China
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Lv D, Liu Z, Wu X, Xie F, Shang Q, Xie W, Zhang Z, Zhao Z. Novel metabolic indicators and the risk of cardiovascular disease in patients with hypertension: A primary-care cohort study. Nutr Metab Cardiovasc Dis 2024:S0939-4753(24)00368-5. [PMID: 39438230 DOI: 10.1016/j.numecd.2024.09.019] [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: 05/27/2024] [Revised: 09/08/2024] [Accepted: 09/12/2024] [Indexed: 10/25/2024]
Abstract
BACKGROUND AND AIMS Data are limited on whether several easily measured indices serve as effective tools for Cardiovascular disease (CVD) risk assessment in hypertensive patients. This study aimed to assess the associations of metabolic score for insulin resistance (METS-IR), lipid accumulation product (LAP), and visceral adiposity index (VAI) with CVD risk in hypertensive patients. METHODS AND RESULTS Our data were drawn from the medical records of primary-care institutions in China. The present study included 306,680 individuals with hypertension attending primary healthcare centers. Cox regression analyses were applied to assess the associations of novel metabolic indicators with the risk of CVD. During a median follow-up of 1.98 years, 5820 participants developed CVD. When comparing with the lowest quartile of the indices, the highest quartile of METS-IR, LAP, and VAI was associated with 1.25-fold (95 % CI: 1.16-1.35), 1.15-fold (95 % CI: 1.05-1.25), and 1.19-fold (95 % CI: 1.10-1.28) risk of CVD after adjusting for potential confounders. CONCLUSION This study provided additional evidence that novel metabolic indicators like METS-IR, LAP, and VAI were associated with the risk of CVD. These results suggest that proactive assessment of visceral adiposity and insulin resistance could be helpful for the effective clinical management of the hypertensive population.
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Affiliation(s)
- Deliang Lv
- Shenzhen Center for Chronic Disease Control, No. 2021 Buxin Road, Shenzhen, 518020, Guangdong, China
| | - Zhen Liu
- Shenzhen Center for Chronic Disease Control, No. 2021 Buxin Road, Shenzhen, 518020, Guangdong, China; Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xiaobing Wu
- Shenzhen Center for Chronic Disease Control, No. 2021 Buxin Road, Shenzhen, 518020, Guangdong, China
| | - Fengzhu Xie
- Shenzhen Center for Chronic Disease Control, No. 2021 Buxin Road, Shenzhen, 518020, Guangdong, China
| | - Qinggang Shang
- Shenzhen Center for Chronic Disease Control, No. 2021 Buxin Road, Shenzhen, 518020, Guangdong, China
| | - Wei Xie
- Shenzhen Center for Chronic Disease Control, No. 2021 Buxin Road, Shenzhen, 518020, Guangdong, China
| | - Ziyang Zhang
- Shenzhen Center for Chronic Disease Control, No. 2021 Buxin Road, Shenzhen, 518020, Guangdong, China
| | - Zhiguang Zhao
- Shenzhen Center for Chronic Disease Control, No. 2021 Buxin Road, Shenzhen, 518020, Guangdong, China.
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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.
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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
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9
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Cui C, Qi Y, Song J, Shang X, Han T, Han N, Yue S, Zha Y, Xu Z, Li J, Liu L. Comparison of triglyceride glucose index and modified triglyceride glucose indices in prediction of cardiovascular diseases in middle aged and older Chinese adults. Cardiovasc Diabetol 2024; 23:185. [PMID: 38812015 PMCID: PMC11138075 DOI: 10.1186/s12933-024-02278-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2024] [Accepted: 05/17/2024] [Indexed: 05/31/2024] Open
Abstract
BACKGROUND Triglyceride and glucose (TyG) index, a surrogate marker of insulin resistance, has been validated as a predictor of cardiovascular disease. However, effects of TyG-related indices combined with obesity markers on cardiovascular diseases remained unknown. We aimed to investigate the associations between TyG index and modified TyG indices with new-onset cardiovascular disease and the time-dependent predictive capacity using a national representative cohort. METHODS This study is a retrospective observational cohort study using data from China Health and Retirement Longitudinal Study (CHARLS) of 7 115 participants. The TyG index was calculated as Ln [fasting triglyceride (mg/dL) × fasting glucose (mg/dL)/2]. The modified TyG indices were developed combining TyG with body mass index (BMI), waist circumference (WC) and waist-to-height ratio (WHtR). We used adjusted Cox proportional hazards regression to analyze the association and predictive capacity based on hazard ratio (HR) and Harrell's C-index. RESULTS Over a 7-year follow-up period, 2136 participants developed cardiovascular disease, including 1633 cases of coronary heart disease and 719 cases of stroke. Compared with the lowest tertile group, the adjusted HR (95% CI) for new-onset cardiovascular disease in the highest tertile for TyG, TyG-BMI, TyG-WC, and TyG-WHtR were 1.215 (1.088-1.356), 1.073 (0.967-1.191), 1.078 (0.970-1.198), and 1.112 (1.002-1.235), respectively. The C-indices of TyG index for cardiovascular disease onset were higher than other modified TyG indices. Similar results were observed for coronary heart disease and stroke. CONCLUSION TyG and TyG-WhtR were significantly associated with new-onset cardiovascular diseases, and TyG outperformed the modified TyG indices to identify individuals at risk of incident cardiovascular event.
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Affiliation(s)
- Cancan Cui
- China-Japan Union Hospital of Jilin University, Jilin University, Jilin, China
| | - Yitian Qi
- China-Japan Union Hospital of Jilin University, Jilin University, Jilin, China
| | - Jiayin Song
- China-Japan Union Hospital of Jilin University, Jilin University, Jilin, China
| | - Xinyun Shang
- China-Japan Union Hospital of Jilin University, Jilin University, Jilin, China
| | - Tianjiao Han
- China-Japan Union Hospital of Jilin University, Jilin University, Jilin, China
| | - Ning Han
- China-Japan Union Hospital of Jilin University, Jilin University, Jilin, China
| | - Siqi Yue
- China-Japan Union Hospital of Jilin University, Jilin University, Jilin, China
| | - Yining Zha
- Harvard T H Chan School of Public Health, Boston, USA
| | - Zhonghang Xu
- China-Japan Union Hospital of Jilin University, Jilin University, Jilin, China.
| | - Jiannan Li
- China-Japan Union Hospital of Jilin University, Jilin University, Jilin, China.
| | - Lin Liu
- China-Japan Union Hospital of Jilin University, Jilin University, Jilin, China.
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Yin JL, Yang J, Song XJ, Qin X, Chang YJ, Chen X, Liu FH, Li YZ, Xu HL, Wei YF, Cao F, Bai XL, Wu L, Tao T, Du J, Gong TT, Wu QJ. Triglyceride-glucose index and health outcomes: an umbrella review of systematic reviews with meta-analyses of observational studies. Cardiovasc Diabetol 2024; 23:177. [PMID: 38783270 PMCID: PMC11118729 DOI: 10.1186/s12933-024-02241-y] [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: 03/26/2024] [Accepted: 04/20/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND Numerous meta-analyses have explored the association between the triglyceride-glucose (TyG) index and diverse health outcomes, yet the comprehensive assessment of the scope, validity, and quality of this evidence remains incomplete. Our aim was to systematically review and synthesise existing meta-analyses of TyG index and health outcomes and to assess the quality of the evidence. METHODS A thorough search of PubMed, EMBASE, and Web of Science databases was conducted from their inception through to 8 April 2024. We assessed the quality of reviews using A Measurement Tool to Assess Systematic Reviews (AMSTAR) and the certainty of the evidence using the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) system. This study was registered with PROSPERO (CRD: 42024518587). RESULTS Overall, a total of 95 associations from 29 meta-analyses were included, investigating associations between TyG index and 30 health outcomes. Of these, 83 (87.4%) associations were statistically significant (P < 0.05) according to the random effects model. Based on the AMSTAR tool, 16 (55.2%) meta-analyses were high quality and none was low quality. The certainty of the evidence, assessed by the GRADE framework, showed that 6 (6.3%) associations were supported by moderate-quality evidence. When compared with the lowest category of the TyG index, the risk of contrast-induced nephropathy (CIN) [relative risk (RR) = 2.25, 95%CI 1.82, 2.77], the risk of stroke in patients with diabetes mellitus (RR = 1.26, 95%CI 1.18, 1.33) or with acute coronary syndrome disease (RR = 1.56, 95%CI 1.06, 2.28), the prognosis of coronary artery disease (CAD)-non-fatal MI (RR = 2.02, 95%CI 1.32, 3.10), and the severity of CAD including coronary artery stenosis (RR = 3.49, 95%CI 1.71, 7.12) and multi-vessel CAD (RR = 2.33, 95%CI 1.59, 3.42) increased with high TyG index. CONCLUSION We found that the TyG index was positively associated with many diseases including the risk of CIN and stroke, the prognosis of CAD, and the severity of CAD which were supported by moderate-quality evidence. TyG index might be useful to identify people at high-risk for developing these diseases.
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Affiliation(s)
- Jia-Li Yin
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Jing Yang
- Department of Endocrinology, The Fourth Affiliated Hospital of China Medical University, Shenyang, China
| | - Xin-Jian Song
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Xue Qin
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yu-Jiao Chang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xing Chen
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Fang-Hua Liu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yi-Zi Li
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - He-Li Xu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yi-Fan Wei
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Fan Cao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xue-Li Bai
- Department of Obstetrics and Gynecology, The Fourth Affiliated Hospital of China Medical University, Shenyang, China
| | - Lang Wu
- Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Tao Tao
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Jian Du
- Department of Endocrinology, The Fourth Affiliated Hospital of China Medical University, Shenyang, China.
| | - Ting-Ting Gong
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Qi-Jun Wu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China.
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China.
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
- NHC Key Laboratory of Advanced Reproductive Medicine and Fertility, (China Medical University), National Health Commission, Shenyang, China.
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Lv Z, Ji Y, Xu S, Li C, Cai W. Chinese visceral adiposity index and its transition patterns: impact on cardiovascular and cerebrovascular diseases in a national cohort study. Lipids Health Dis 2024; 23:124. [PMID: 38685072 PMCID: PMC11057120 DOI: 10.1186/s12944-024-02105-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2024] [Accepted: 04/09/2024] [Indexed: 05/02/2024] Open
Abstract
BACKGROUND Obesity affects approximately 800 million people worldwide and may contribute to various diseases, especially cardiovascular and cerebrovascular conditions. Fat distribution and content represent two related yet distinct axes determining the impact of adipose tissue on health. Unlike traditional fat measurement indices, which often overlook fat distribution, the Chinese visceral adiposity index (CVAI) is a novel metric used to assess visceral fat accumulation and associated health risks. Our objective is to evaluate its association with the risk of cardiovascular and cerebrovascular diseases. METHODS A nationwide longitudinal study spanning 9 years was conducted to investigate both the effects of baseline CVAI levels (classified as low and high) and dynamic changes in CVAI over time, including maintenance of low CVAI, transition from low to high, transition from high to low, and maintenance of high CVAI. Continuous scales (restricted cubic spline curves) and categorical scales (Kaplan-Meier curves and multivariable Cox regression analyses) were utilized to evaluate the relationship between CVAI and cardiovascular and cerebrovascular diseases. Furthermore, subgroup analyses were conducted to investigate potential variations. RESULTS Totally 1761 individuals (22.82%) experienced primary outcomes among 7717 participants. In the fully adjusted model, for each standard deviation increase in CVAI, there was a significant increase in the risk of primary outcomes [1.20 (95%CI: 1.14-1.27)], particularly pronounced in the high CVAI group [1.38 (95%CI: 1.25-1.54)] compared to low CVAI group. Regarding transition patterns, individuals who consistently maintained high CVAI demonstrated the highest risk ratio compared to those who consistently maintained low CVAI [1.51 (95%CI: 1.31-1.74)], followed by individuals transitioning from low to high CVAI [1.22 (95% CI: 1.01-1.47)]. Analysis of restricted cubic spline curves indicated a positive dose-response relationship between CVAI and risk of primary outcomes (p for non-linear = 0.596). Subgroup analyses results suggest that middle-aged individuals with high CVAI face a notably greater risk of cardiovascular and cerebrovascular diseases in contrast to elderly individuals [1.75 (95% CI: 1.53-1.99)]. CONCLUSION This study validates a significant association between baseline levels of CVAI and its dynamic changes with the risk of cardiovascular and cerebrovascular diseases. Vigilant monitoring and effective management of CVAI significantly contribute to early prevention and risk stratification of cardiovascular and cerebrovascular diseases.
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Affiliation(s)
- Zhihan Lv
- Department of General Medicine, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, No. 639 Zhizaoju Road, Shanghai, 200011, China
| | - Yunxi Ji
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Su Xu
- Department of General Medicine, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, No. 639 Zhizaoju Road, Shanghai, 200011, China
| | - Chenyi Li
- Department of General Medicine, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, No. 639 Zhizaoju Road, Shanghai, 200011, China.
| | - Wenwei Cai
- Department of General Medicine, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, No. 639 Zhizaoju Road, Shanghai, 200011, China.
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Zhang P, Xiong Y, Chen M, Zhang H, Sun N, Wu F, Yang J, Ren Y. The relationship between hypertriglyceridemic wait-to-height ratio and hypertension-diabetes comorbidity among older adult. Front Public Health 2023; 11:1292738. [PMID: 38131022 PMCID: PMC10733473 DOI: 10.3389/fpubh.2023.1292738] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 11/09/2023] [Indexed: 12/23/2023] Open
Abstract
Objective Limited information is available on the effect of hypertriglyceridemic waist-to-height ratio (HTHWH) and hypertension-diabetes comorbidity (HAD) in older adult people. We aimed to explore the relationship between HTHWH and HAD for the co-management of hypertension and diabetes mellitus in the older adult. Methods A cross-sectional study, randomized cluster sampling from 10 community health service centers, and multivariate logistic regression were used in this study. A total of 3,501 participants aged 65 years or older recruited between January 2019 and December 2019 completed the study. Results Among 3,501 participants, the median age was 69.96 years, and 42.50% were men. A total of 1,207 subjects were in the HTHWH group, and the prevalence rate of HAD was 17.23% in this group. Multivariate logistic regression analysis showed that, as compared with the normal group, the risk of HAD in the HTHWH group increased by 2.05 times (OR = 3.05, 95% CI: 2.06-4.51). The risks of hypertension or diabetes mellitus (HOD), hypertension, and diabetes mellitus were also increased in the HTHWH group, with their ORs (95%CIs) being 1.82 (1.44-2.29), 1.73 (1.38-2.17), and 2.28 (1.66-3.13), respectively. Conclusion HTHWH significantly increases the risk of HAD and can be used as a reliable tool to screen the high-risk population for HAD.
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Affiliation(s)
- Ping Zhang
- Department of Rehabilitation Medicine, Zhumadian Central Hospital, Zhumadian, China
| | - Yangyang Xiong
- Institute of Health Data Management, Huanghuai University, Zhumadian, China
| | - Menghan Chen
- Institute of Health Data Management, Huanghuai University, Zhumadian, China
| | - Huaide Zhang
- Institute of Health Data Management, Huanghuai University, Zhumadian, China
| | - Nan Sun
- Institute of Health Data Management, Huanghuai University, Zhumadian, China
| | - Fan Wu
- Institute of Health Data Management, Huanghuai University, Zhumadian, China
| | - Jiayu Yang
- Institute of Health Data Management, Huanghuai University, Zhumadian, China
| | - Yongcheng Ren
- Department of Rehabilitation Medicine, Zhumadian Central Hospital, Zhumadian, China
- Institute of Health Data Management, Huanghuai University, Zhumadian, China
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13
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Kuang M, Qiu J, Li D, Hu C, Zhang S, Sheng G, Zou Y. The newly proposed Metabolic Score for Visceral Fat is a reliable tool for identifying non-alcoholic fatty liver disease, requiring attention to age-specific effects in both sexes. Front Endocrinol (Lausanne) 2023; 14:1281524. [PMID: 38089634 PMCID: PMC10711077 DOI: 10.3389/fendo.2023.1281524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 11/10/2023] [Indexed: 12/18/2023] Open
Abstract
Objective The newly proposed Metabolic Visceral Fat Score (METS-VF) is considered a more effective measure for visceral adipose tissue (VAT) than other obesity indicators. This study aimed to reveal the association between METS-VF and non-alcoholic fatty liver disease (NAFLD), and its variations across age groups within both sexes. Methods Data from 14,251 medical examiners in the NAGALA project were employed in this study. 3D fitted surface plots were constructed based on multivariate logistic regression models to visualize the isolated and combined effects of aging and METS-VF on NAFLD. Receiver operating characteristic curve (ROC) analysis was conducted to compare the diagnostic performance of METS-VF with other VAT surrogate markers in predicting NAFLD. Results The results of multivariate logistic regression analysis showed that each unit increase in METS-VF was independently associated with a 333% and 312% increase in the odds of NAFLD in males and females, respectively. Additionally, the 3D fitted surface plot showed that age significantly influenced the association between METS-VF and the odds of NAFLD in both sexes, as follows: (i) In males, when METS-VF was less than 6.2, the METS-VF-related odds of NAFLD increased gradually with age in the 20-45 age group, reached a plateau in the 45-65 age group, and then decreased in the group above 65 years old; however, when male METS-VF exceeded 6.2, aging and METS-VF combined to further increase the odds of NAFLD in all age groups, particularly in the 45-65 age group. (ii) In females, aging seemed to reduce METS-VF-related odds of NAFLD in the 18-40 age group, but significantly increased it in the 40-60 age group, particularly for those with higher METS-VF levels. Further ROC analysis revealed that compared to other VAT surrogate markers, METS-VF showed the highest diagnostic accuracy for NAFLD in females, especially in those under 45 years of age [area under the curve (AUC) = 0.9256]. Conclusions This study firstly revealed a significant positive correlation between METS-VF and the odds of NAFLD, with METS-VF surpassing other VAT surrogate markers in NAFLD diagnosis. Moreover, age significantly influenced the METS-VF-related odds of NAFLD and METS-VF's diagnostic efficacy for NAFLD in both sexes.
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Affiliation(s)
- Maobin Kuang
- Department of Internal Medicine, Medical College of Nanchang University, Jiangxi Provincial People’s Hospital, Nanchang, Jiangxi, China
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, China
- Jiangxi Provincial Geriatric Hospital, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, China
| | - Jiajun Qiu
- Department of Internal Medicine, Medical College of Nanchang University, Jiangxi Provincial People’s Hospital, Nanchang, Jiangxi, China
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, China
- Jiangxi Provincial Geriatric Hospital, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, China
| | - Dongdong Li
- Department of Internal Medicine, Medical College of Nanchang University, Jiangxi Provincial People’s Hospital, Nanchang, Jiangxi, China
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, China
- Jiangxi Provincial Geriatric Hospital, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, China
- Department of Pulmonary and Critical Care Medicine, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, China
| | - Chong Hu
- Department of Gastroenterology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, China
| | - Shuhua Zhang
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, China
| | - Guotai Sheng
- Jiangxi Provincial Geriatric Hospital, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, China
| | - Yang Zou
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, China
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14
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Han W, Xiong N, Zhong R, Pan Z. E2/E3 and E3/E4 Genotypes of the Apolipoprotein E are Associated with Higher Risk of Diabetes Mellitus in Patients with Hypertension. Int J Gen Med 2023; 16:5579-5586. [PMID: 38034897 PMCID: PMC10683662 DOI: 10.2147/ijgm.s438008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 11/18/2023] [Indexed: 12/02/2023] Open
Abstract
Objective Apolipoprotein E (APOE) plays an important role in the lipid metabolism. APOE polymorphisms have been implicated in susceptibility to diabetes mellitus (DM). However, the association between APOE polymorphisms and the risk of DM among the hypertensive patients remains unclear. Our study aimed to evaluate this relationship to provide clues for further developing DM in hypertensive patients. Methods The study included 808 hypertensive patients with DM and 1226 hypertensive patients without DM as controls. The APOE 388T>C (rs429358) and 526C>T (rs7412) polymorphisms were genotyped by polymerase chain reaction (PCR) - microarray. Differences in APOE genotypes between subjects and controls were compared. To analyze the relationship between APOE genotypes and DM risk, multiple logistic regression analysis was performed after adjusting for gender, age, smoking history, and drinking history. Results The APOE E2/E4, E3/E3 genotype and ε2, ε3 allele frequency had significant difference between DM patients and controls (P<0.05). The DM patients with ɛ4 allele had lower level in high-density lipoprotein cholesterol (HDL-C) and higher level in apolipoprotein B (ApoB) than those with ɛ2 allele. The results of logistic regression analysis indicated that the APOE genotype of E2/E3 with adjusted OR=1.350 (95% Cl=1.009-1.806, P=0.043) and E3/E4 with adjusted OR=1.325 (95% Cl=1.034-1699, P=0.026) may be independent risk factors for DM. Conclusion APOE E2/E3 and E3/E4 genotypes may be risk factors for developing diabetes mellitus in hypertensive patients.
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Affiliation(s)
- Wendao Han
- Department of Blood Transfusion, Meizhou People’s Hospital, Meizhou Academy of Medical Sciences, Meizhou, People’s Republic of China
- Center for Precision Medicine, Meizhou People’s Hospital, Meizhou Academy of Medical Sciences, Meizhou, People’s Republic of China
| | - Nating Xiong
- Department of Blood Transfusion, Meizhou People’s Hospital, Meizhou Academy of Medical Sciences, Meizhou, People’s Republic of China
- Center for Precision Medicine, Meizhou People’s Hospital, Meizhou Academy of Medical Sciences, Meizhou, People’s Republic of China
| | - Renkai Zhong
- Department of Blood Transfusion, Meizhou People’s Hospital, Meizhou Academy of Medical Sciences, Meizhou, People’s Republic of China
- Center for Precision Medicine, Meizhou People’s Hospital, Meizhou Academy of Medical Sciences, Meizhou, People’s Republic of China
| | - Zhongyi Pan
- Department of Blood Transfusion, Meizhou People’s Hospital, Meizhou Academy of Medical Sciences, Meizhou, People’s Republic of China
- Center for Precision Medicine, Meizhou People’s Hospital, Meizhou Academy of Medical Sciences, Meizhou, People’s Republic of China
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Shi R, Jiang YN, Qian WL, Guo YK, Gao Y, Shen LT, Jiang L, Li XM, Yang ZG, Li Y. Assessment of left atrioventricular coupling and left atrial function impairment in diabetes with and without hypertension using CMR feature tracking. Cardiovasc Diabetol 2023; 22:295. [PMID: 37904206 PMCID: PMC10617180 DOI: 10.1186/s12933-023-01997-z] [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: 07/08/2023] [Accepted: 09/18/2023] [Indexed: 11/01/2023] Open
Abstract
PURPOSE The study was designed to assess the effect of co-occurrence of diabetes mellitus (DM) and hypertension on the deterioration of left atrioventricular coupling index (LACI) and left atrial (LA) function in comparison to individuals suffering from DM only. METHODS From December 2015 to June 2022, we consecutively recruited patients with clinically diagnosed DM who underwent cardiac magnetic resonance (CMR) at our hospital. The study comprised a total of 176 patients with DM, who were divided into two groups based on their blood pressure status: 103 with hypertension (DM + HP) and 73 without hypertension (DM-HP). LA reservoir function (reservoir strain (εs), total LA ejection fraction (LAEF)), conduit function (conduit strain (εe), passive LAEF), booster-pump function (booster strain (εa) and active LAEF), LA volume index (LAVI), LV global longitudinal strain (LVGLS), and LACI were evaluated and compared between the two groups. RESULTS After adjusting for age, sex, body surface area (BSA), and history of current smoking, total LAEF (61.16 ± 14.04 vs. 56.05 ± 12.72, p = 0.013) and active LAEF (43.98 ± 14.33 vs. 38.72 ± 13.51, p = 0.017) were lower, while passive LAEF (33.22 ± 14.11 vs. 31.28 ± 15.01, p = 0.807) remained unchanged in the DM + HP group compared to the DM-HP group. The DM + HP group had decreased εs (41.27 ± 18.89 vs. 33.41 ± 13.94, p = 0.006), εe (23.69 ± 12.96 vs. 18.90 ± 9.90, p = 0.037), εa (17.83 ± 8.09 vs. 14.93 ± 6.63, p = 0.019), and increased LACI (17.40±10.28 vs. 22.72±15.01, p = 0.049) when compared to the DM-HP group. In patients with DM, multivariate analysis revealed significant independent associations between LV GLS and εs (β=-1.286, p < 0.001), εe (β=-0.919, p < 0.001), and εa (β=-0.324, p = 0.036). However, there was no significant association observed between LV GLS and LACI (β=-0.003, p = 0.075). Additionally, hypertension was found to independently contribute to decreased εa (β=-2.508, p = 0.027) and increased LACI in individuals with DM (β = 0.05, p = 0.011). CONCLUSIONS In DM patients, LV GLS showed a significant association with LA phasic strain. Hypertension was found to exacerbate the decline in LA booster strain and increase LACI in DM patients, indicating potential atrioventricular coupling index alterations.
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Affiliation(s)
- Rui Shi
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China
| | - Yi-Ning Jiang
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China
| | - Wen-Lei Qian
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China
| | - Ying-Kun Guo
- Department of Radiology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Yue Gao
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China
| | - Li-Ting Shen
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China
| | - Li Jiang
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China
| | - Xue-Ming Li
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China
| | - Zhi-Gang Yang
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China.
| | - Yuan Li
- Department of Radiology, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China.
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Huang Q, Yin L, Liu Z, Wei M, Feng J, Huang Q, Liu Y, Liu Z, Xia J. Association of novel lipid indicators with the risk of stroke among participants in Central China: a population-based prospective study. Front Endocrinol (Lausanne) 2023; 14:1266552. [PMID: 37850101 PMCID: PMC10577285 DOI: 10.3389/fendo.2023.1266552] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 09/18/2023] [Indexed: 10/19/2023] Open
Abstract
Background Several easily and inexpensively measured indicators of visceral adiposity dysfunction are currently available, but it remains unclear whether they are correlated with stroke risk in the community-dwelling population. We aimed to examine the longitudinal association of the triglyceridemic-waist phenotypes, the triglyceride glucose (TyG) index, as well as TyG-related indicators with stroke risk. Methods In this study, we conducted a prospective cohort study in Hunan, a region located in Central China, where the prevalence of stroke is relatively high. We included a total of 20185 subjects aged ≥40 years between November 2017 and December 2018. Triglyceride glucose-body mass index (TyG-BMI) and triglyceride glucose-waist circumference (TyG-WC) were calculated as multiplying TyG index by BMI and WC, respectively. Triglyceride waist phenotypes were categorized into four phenotypes: HTGW (elevated triglyceride and enlarged WC), NTNW (normal triglyceride and normal WC); HTNW (high triglyceride and normal WC), and NTGW (normal triglyceride and enlarged WC). We constructed a multivariable Cox regression model to assess the association between these novel lipid indicators and the risk of stroke. Subgroup analysis was conducted to test the robustness of our research findings. ROC curve was used for assessing the predictive ability of different stroke risk indices. Results After 2 years of follow- up, 135 participants experienced new stroke events. After adjusting for potential confounders, we found that participants with HTGW had higher likelihood of stroke (HR: 1.96, 95% CI: 1.21 to 3.16). However, we did not find significant associations for HTNW (HR: 1.42, 95% CI: 0.91 to 2.21) and NTGW (HR: 1.09, 95% CI 0.67 to 1.78). when compared to participants in the first TyG quartile, those in the fourth TyG quartile were associated with a 2.06-fold (95% CI: 1.22, 3.50) risk of stroke. Each 1-SD increase in TyG, TyG-BMI, and TyG-WC was associated with a higher risk of stroke, with adjusted HRs of 1.34 (95% CI: 1.11 to 1.61), 1.35 (95% CI: 1.14 to 1.59), and 1.23 (95% CI: 1.04 to 1.46), respectively. In subgroup analyses, those positive relationships appeared to be stronger among male participants with lower levels of physical activity and smoking. Conclusion HTGW, along with higher levels of TyG and TyG-related indicators, were found to be associated with an elevated risk of stroke. HTGW and these novel lipid indicators might be reliable indicators to identify populations at elevated risk of stroke.
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Affiliation(s)
- Qin Huang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Department of Neurology, Peking University People’s Hospital, Beijing, China
| | - Li Yin
- Departement of Chronic Disease, Hunan Provincial Center for Disease Control and Prevention, Changsha, China
| | - Zeyu Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Minping Wei
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jie Feng
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Qing Huang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yunhai Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Zunjing Liu
- Department of Neurology, Peking University People’s Hospital, Beijing, China
| | - Jian Xia
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Clinical Research Center for Cerebrovascular Disease of Hunan Province, Central South University, Changsha, China
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17
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Deng H, Duan X, Huang J, Zheng M, Lao M, Weng F, Su QY, Zheng ZF, Mei Y, Huang L, Yang WH, Xing X, Ma X, Zhao W, Liu X. Association of adiposity with risk of obstructive sleep apnea: a population-based study. BMC Public Health 2023; 23:1835. [PMID: 37735660 PMCID: PMC10512644 DOI: 10.1186/s12889-023-16695-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Accepted: 09/04/2023] [Indexed: 09/23/2023] Open
Abstract
BACKGROUND Obesity is a crucial risk factor for obstructive sleep apnea (OSA), but the association between adiposity deposition and OSA risk has not reached a consistent conclusion. This study sought to reveal the association of multiple adiposity indicators with OSA risk. METHODS This cross-sectional study included 9,733 participants aged 35-74 years, recruited from an ongoing population-based cohort. OSA was assessed by the Berlin Questionnaire. Six adiposity indicators, including neck circumference (NC), body fat percentage (BF%), waist-to-hip ratio (WHR), visceral adiposity index (VAI), lipid accumulation product (LAP), and resting metabolic rate (RMR), were selected. Multivariate logistic regression models were used to examine the association of adiposity indicators with OSA risk. RESULTS One thousand six hundred twenty-six participants (16.71%) were classified into the OSA group. NC, BF%, WHR, VAI, LAP, and RMR were all positively associated with the risk of OSA after adjusting for confounders, regardless of age, sex, and history of dyslipidemia. Every 1-unit increment of NC, BF%, and VAI was associated with a 13%, 9%, and 14% increased risk of OSA, respectively; every 0.01-unit increment of WHR was associated with a 3% increased risk of OSA; every 10-unit increment of LAP and RMR was associated with 2% and 4% increased risk of OSA, respectively. CONCLUSIONS NC, BF%, WHR, VAI, LAP, and RMR were all independently and positively associated with OSA risk, regardless of age, sex, history of dyslipidemia, and menopausal status. Application of these new indicators could help to more comprehensively reflect and predict the risk of OSA in the general population.
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Affiliation(s)
- Hai Deng
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Science, Southern Medical University, Guangzhou, 510080, China
| | - Xueru Duan
- Department of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China
- School of Public Health, Guangdong Pharmaceutical University, 283 Jianghai Avenue, Haizhu District, Guangzhou, 510310, China
| | - Jun Huang
- Department of Geriatrics, Guangdong Provincial Geriatrics Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Science, Southern Medical University, Guangzhou, 510080, China
| | - Murui Zheng
- Faculty of Health Sciences, University of Macau, Macau SAR, 999078, China
| | - Miaochan Lao
- Department of Sleep Center, Department of Geriatric Respiratory, Guangdong Provincial Geriatrics Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Fan Weng
- Guangzhou Yuexiu District Center for Disease Control and Prevention, Guangzhou, 510080, China
| | - Qi-Ying Su
- Dadong Street Community Health Service Center, Guangzhou, 510080, China
| | - Zhen-Feng Zheng
- Nancun Community Health Service Center, Guangzhou, 511442, China
| | - Yunting Mei
- School of Public Health, Guangdong Pharmaceutical University, 283 Jianghai Avenue, Haizhu District, Guangzhou, 510310, China
| | - Li Huang
- School of Public Health, Guangdong Pharmaceutical University, 283 Jianghai Avenue, Haizhu District, Guangzhou, 510310, China
| | - Wen-Han Yang
- School of Public Health, Guangdong Pharmaceutical University, 283 Jianghai Avenue, Haizhu District, Guangzhou, 510310, China
| | - Xiaohui Xing
- Guangdong Provincial Engineering Technology Research Center of Public Health Detection and Assessment, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, 510310, China
| | - Xiaofeng Ma
- Qinghai Province Cardiovascular and Cerebrovascular Disease Specialist Hospital, 7 Zhuanchang Road, Xining, 810012, China.
| | - Wenjing Zhao
- School of Public Health and Emergency Management, Southern University of Science and Technology, Nanshan District, 1088 Xueyuan Avenue, Shenzhen, 518055, China.
| | - Xudong Liu
- School of Public Health, Guangdong Pharmaceutical University, 283 Jianghai Avenue, Haizhu District, Guangzhou, 510310, China.
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18
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Bai J, Gao C, Li X, Pan H, Wang S, Shi Z, Zhang T. Correlation analysis of the abdominal visceral fat area with the structure and function of the heart and liver in obesity: a prospective magnetic resonance imaging study. Cardiovasc Diabetol 2023; 22:206. [PMID: 37563637 PMCID: PMC10416373 DOI: 10.1186/s12933-023-01926-0] [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: 06/08/2023] [Accepted: 07/19/2023] [Indexed: 08/12/2023] Open
Abstract
BACKGROUND The differences in fat deposition sites exhibit varying degrees of systemic inflammatory responses and organ damage, especially in obese individuals with excessive visceral fat. Visceral fat, which is closely related to an increase in mortality rates related to heart and liver diseases. However, few studies have analysed the differences in heart and liver indicators and their correlation among groups based on the abdominal visceral fat area (AVFA). OBJECTIVE Clarifying the differences in and correlations of heart and liver indicators among groups with different severities of AVFA by magnetic resonance imaging (MRI). METHODS Sixty-nine subjects with obesity were enrolled. The study group consisted of forty-one individuals (AVFA ≥ 150 cm2), and the control group consisted of twenty-eight individuals (100 cm2 ≤ AVFA < 150 cm2). The differences in and correlations between clinical, laboratory, and MRI indicators of the heart and liver between the two groups were analysed. RESULTS In the study group, the incidences of type 2 diabetes mellitus (T2DM) and insulin resistance were higher, and liver function indicators were worse. The left ventricular eccentricity ratio (LVER), left ventricular mass (LVM) and global peak wall thickness (GPWT) were higher in the study group than in the control group (P = 0.002, P = 0.001, P = 0.03), and the left ventricle global longitudinal strain (LVGLS) was lower in the study group than in the control group (P = 0.016). The pericardiac adipose tissue volume (PATV) and myocardial proton density fat fraction (M-PDFF) were higher in the study group than in the control group (P = 0.001, P = 0.001). The hepatic proton density fat fraction (H-PDFF) and abdominal subcutaneous fat area (ASFA) were higher in the study group than in the control group (P < 0.001, P = 0.012). There was a moderate positive correlation (ρ = 0.39-0.59, P < 0.001) between the AVFA and LVER, LVM, GPWT, LVGLS, and H-PDFF. There was no difference in right ventricular and most left ventricular systolic and diastolic function between the two groups. CONCLUSION The high AVFA group had a larger LVM, GPWT and PATV, more obvious changes in LVER, impaired left ventricular diastolic function, an increased risk of heart disease, and more severe hepatic fat deposition and liver injury. Therefore, there is a correlation between the amount of visceral adipose tissue and subclinical cardiac changes and liver injury.
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Affiliation(s)
- Jinquan Bai
- Department of Radiology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Chao Gao
- Department of Radiology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Xiaolu Li
- Department of Radiology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Hong Pan
- Department of Radiology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Shuting Wang
- Department of Radiology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Zhenzhou Shi
- Department of Radiology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Tong Zhang
- Department of Radiology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China.
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19
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Yang R, Kuang M, Qiu J, Yu C, Sheng G, Zou Y. Assessing the usefulness of a newly proposed metabolic score for visceral fat in predicting future diabetes: results from the NAGALA cohort study. Front Endocrinol (Lausanne) 2023; 14:1172323. [PMID: 37538796 PMCID: PMC10395081 DOI: 10.3389/fendo.2023.1172323] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 06/29/2023] [Indexed: 08/05/2023] Open
Abstract
Objective Visceral adipose tissue assessment holds significant importance in diabetes prevention. This study aimed to explore the association between the newly proposed Metabolic Score for Visceral Fat (METS-VF) and diabetes risk and to further assess the predictive power of the baseline METS-VF for the occurrence of diabetes in different future periods. Methods This longitudinal cohort study included 15,464 subjects who underwent health screenings. The METS-VF, calculated using the formula developed by Bello-Chavolla et al., served as a surrogate marker for visceral fat obesity. The primary outcome of interest was the occurrence of diabetes during the follow-up period. Established multivariate Cox regression models and restricted cubic spline (RCS) regression models to assess the association between METS-VF and diabetes risk and its shape. Receiver operating characteristic (ROC) curves were used to compare the predictive power of METS-VF with body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), and visceral adiposity index (VAI) for diabetes, and time-dependent ROC analysis was conducted to assess the predictive capability of METS-VF for the occurrence of diabetes in various future periods. Results During a maximum follow-up period of 13 years, with a mean of 6.13 years, we observed that the cumulative risk of developing diabetes increased with increasing METS-VF quintiles. Multivariable-adjusted Cox regression analysis showed that each unit increase in METS-VF would increase the risk of diabetes by 68% (HR 1.68, 95% CI 1.13, 2.50), and further RCS regression analysis revealed a possible non-linear association between METS-VF and diabetes risk (P for non-linearity=0.002). In addition, after comparison by ROC analysis, we found that METS-VF had significantly higher predictive power for diabetes than other general/visceral adiposity indicators, and in time-dependent ROC analysis, we further considered the time-dependence of diabetes status and METS-VF and found that METS-VF had the highest predictive value for predicting medium- and long-term (6-10 years) diabetes risk. Conclusion METS-VF, a novel indicator for assessing visceral adiposity, showed a significantly positive correlation with diabetes risk. It proved to be a superior risk marker in predicting the future onset of diabetes compared to other general/visceral adiposity indicators, particularly in forecasting medium- and long-term diabetes risk.
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Affiliation(s)
- Ruijuan Yang
- Department of Endocrinology, Jiangxi Provincial People’s Hospital, Medical College of Nanchang University, Nanchang, Jiangxi, China
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, China
| | - Maobin Kuang
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, China
- Department of Cardiology, Jiangxi Provincial People’s Hospital, Medical College of Nanchang University, Nanchang, Jiangxi, China
| | - Jiajun Qiu
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, China
- Department of Cardiology, Jiangxi Provincial People’s Hospital, Medical College of Nanchang University, Nanchang, Jiangxi, China
| | - Changhui Yu
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, China
- Department of Cardiology, Jiangxi Provincial People’s Hospital, Medical College of Nanchang University, Nanchang, Jiangxi, China
| | - Guotai Sheng
- Jiangxi Provincial Geriatric Hospital, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, China
| | - Yang Zou
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, China
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20
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Liu T, Lu W, Zhao X, Yao T, Song B, Fan H, Gao G, Liu C. Relationship between lipid accumulation product and new-onset diabetes in the Japanese population: a retrospective cohort study. Front Endocrinol (Lausanne) 2023; 14:1181941. [PMID: 37265697 PMCID: PMC10230034 DOI: 10.3389/fendo.2023.1181941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 05/04/2023] [Indexed: 06/03/2023] Open
Abstract
Background Diabetes has become a global public health problem. Obesity has been established as a risk factor for diabetes. However, it remains unclear which of the obesity indicators (BMI, WC, WhtR, ABSI, BRI, LAP, VAI) is more appropriate for monitoring diabetes. Therefore, the objective of this investigation is to compare the strength of the association of these indicators and diabetes and reveal the relationship between LAP and diabetes. Methods 15,252 people took part in this research. LAP was quartered and COX proportional risk model was applied to explore the relationship between LAP and new-onset diabetes. Smooth curve fitting was employed to investigate the non-linear link between LAP and diabetes mellitus. Finally, the receiver operating characteristic (ROC) curve was used to evaluate the predictive ability of the aforementioned indicators for diabetes. Results After adjusting for confounding factors, multiple linear regression analysis showed that each unit increase in LAP was associated with a 76.8% increase in the risk of developing diabetes (HR=1.768, 95% CI: 1.139 to 2.746, P=0.011). In addition, LAP predicted new-onset diabetes better than other indicators, and the AUC was the largest [HR: 0.713, 95% CI: 0.6806-0.7454, P<0.001, in women; HR: 0.7922, 95% CI: 0.7396-0.8447; P<0.001, in men]. When LAP was used as a lone predictor, its AUC area was largest both men and women. However, after adding classical predictors (FPG, HbA1c, SBP, exercise, age) to the model, the LAP is better than the ABSI, but not better than the other indicators when compared in pairs. Conclusions High levels of LAP correlate very strongly with diabetes and are an important risk factor for diabetes, especially in women, those with fatty liver and current smokers. LAP was superior to other indicators when screening for diabetes susceptibility using a single indicator of obesity, both in men and in women. However, when obesity indicators were added to the model together with classical predictors, LAP did not show a significant advantage over other indicators, except ABSI.
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Affiliation(s)
| | | | | | | | | | | | | | - Chengyun Liu
- Department of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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21
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Sun J, Meng X, Huang H, Jing J, Pan Y, Mei L, Jin A, Wang Y, Wei T, Cai X. Higher visceral adiposity index and lipid accumulation product in relation to increased risk of atherosclerotic burden in community-dwelling older adults. Exp Gerontol 2023; 174:112115. [PMID: 36758647 DOI: 10.1016/j.exger.2023.112115] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 02/02/2023] [Accepted: 02/02/2023] [Indexed: 02/11/2023]
Abstract
BACKGROUND AND AIMS Visceral adiposity index (VAI) and lipid accumulation product (LAP), as anthropometric indices, have been applied to predict the risk of cardiovascular diseases (CVD). However, few studies investigated the correlation between these two indicators and cardio-cerebro-vascular atherosclerosis in community populations. Our study was to explore the association of VAI and LAP with coronary, intracranial and extracranial atherosclerosis in a community-based asymptomatic middle-aged and older population. METHODS Participants without a history of CVD in the study of PRECISE (Polyvascular Evaluation for Cognitive Impairment and Vascular Events) were included. The sex-special indicators of VAI and LAP were calculated and stratified by the tertiles. The presence of plaque and coronary segmental stenosis score (SSS) were assessed by coronary computed tomography (CTA), as well as intracranial and extracranial atherosclerotic burden were evaluated by high-resolution magnetic resonance imaging (HR-MRI), respectively. Binary or ordinal logistic regression was conducted to assess the association between each of the indexes and the presence and burden of atherosclerosis. RESULTS A total of 2875 subjects were included in the final analysis. The mean age was 60.9 ± 6.6 years and 1329 (46.2 %) participants were males. Compared with the first tertile of VAI, the higher tertile was associated with the presence of plaques (T3 vs T1, OR, 1.49, 95%CI, 1.12-1.98, for males; OR, 1.64, 95%CI, 1.24-2.17, for females) and atherosclerotic burden (T3 vs T1, adjusted cOR, 1.63, 95%CI, 1.24-2.14, for males; adjusted cOR, 1.70, 95%CI, 1.29-2.24, for females) in major coronary arteries. A similar association was found for LAP. VAI level has presented an association with the extracranial atherosclerotic plaques (T3 vs T1, OR, 1.34, 95%CI, 1.02-1.77) and burden (T3 vs T1, adjusted cOR 1.32, 95 % CI 1.00-1.73) only in females. Whereas, for intracranial atherosclerosis, the results failed to show any statistically significant association. CONCLUSIONS Among community-dwelling asymptomatic older adults, VAI and LAP were associated with the presence and burden of coronary atherosclerotic plaques, while VAI presented a weaker significant association with extracranial atherosclerosis in females.
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Affiliation(s)
- Jingping Sun
- Department of Neurology, the Central Hospital of Lishui, Lishui Hospital of Zhejiang University, Fifth Affiliated Hospital of Wenzhou Medical College, Lishui, Zhejiang, China; Lishui Clinical Research Center for Neurological Diseases, Lishui, Zhejiang, China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Huifen Huang
- Department of Neurology, the Central Hospital of Lishui, Lishui Hospital of Zhejiang University, Fifth Affiliated Hospital of Wenzhou Medical College, Lishui, Zhejiang, China; Lishui Clinical Research Center for Neurological Diseases, Lishui, Zhejiang, China
| | - Jing Jing
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Lerong Mei
- Department of Neurology, the Central Hospital of Lishui, Lishui Hospital of Zhejiang University, Fifth Affiliated Hospital of Wenzhou Medical College, Lishui, Zhejiang, China; Lishui Clinical Research Center for Neurological Diseases, Lishui, Zhejiang, China
| | - Aoming Jin
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Tiemin Wei
- Department of Cardiology, the Central Hospital of Lishui, Lishui Hospital of Zhejiang University, Fifth Affiliated Hospital of Wenzhou Medical College, Lishui, Zhejiang, China.
| | - Xueli Cai
- Department of Neurology, the Central Hospital of Lishui, Lishui Hospital of Zhejiang University, Fifth Affiliated Hospital of Wenzhou Medical College, Lishui, Zhejiang, China; Lishui Clinical Research Center for Neurological Diseases, Lishui, Zhejiang, China.
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22
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Deng H, Hu P, Li H, Zhou H, Wu X, Yuan M, Duan X, Lao M, Wu C, Zheng M, Lao XQ, Zhao W, Liu X. Correction: Novel lipid indicators and the risk of type 2 diabetes mellitus among Chinese hypertensive patients: findings from the Guangzhou Heart Study. Cardiovasc Diabetol 2023; 22:7. [PMID: 36631842 PMCID: PMC9835213 DOI: 10.1186/s12933-022-01731-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Affiliation(s)
- Hai Deng
- grid.413405.70000 0004 1808 0686Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Science, Guangzhou, 510080 China
| | - Peng Hu
- grid.411847.f0000 0004 1804 4300School of Public Health, Guangdong Pharmaceutical University, No. 283 Jianghai Avenue, Haizhu District, Guangzhou, 510310 China ,grid.12981.330000 0001 2360 039XDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080 China
| | - Huoxing Li
- grid.284723.80000 0000 8877 7471The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515 China
| | - Huanning Zhou
- Guangzhou Yuexiu District Center for Disease Control and Prevention, Guangzhou, China
| | - Xiuyi Wu
- Nancun Community Health Service Center, Guangzhou, 511442 China
| | - Maohua Yuan
- Dadong Street Community Health Service Center, Guangzhou, 510080 China
| | - Xueru Duan
- grid.12981.330000 0001 2360 039XDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080 China
| | - Miaochan Lao
- Department of Sleep Center, Department of Geriatric Respiratory, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangdong Provincial Geriatrics Institute, Guangzhou, 510080 China
| | - Chuchu Wu
- grid.411847.f0000 0004 1804 4300School of Public Health, Guangdong Pharmaceutical University, No. 283 Jianghai Avenue, Haizhu District, Guangzhou, 510310 China
| | - Murui Zheng
- grid.508371.80000 0004 1774 3337Department of Community Health, Guangzhou Center for Disease Control and Prevention, No. 1 Qide Road, Baiyun District, Guangzhou, 510440 China
| | - Xiang Qian Lao
- grid.10784.3a0000 0004 1937 0482JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, 999077 SAR China
| | - Wenjing Zhao
- grid.263817.90000 0004 1773 1790School of Public Health and Emergency Management, Southern University of Science and Technology, No. 1088 Xueyuan Avenue, Shenzhen, 518055 China
| | - Xudong Liu
- grid.411847.f0000 0004 1804 4300School of Public Health, Guangdong Pharmaceutical University, No. 283 Jianghai Avenue, Haizhu District, Guangzhou, 510310 China
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