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Qin Y, Qiao Y, Yan G, Wang D, Tang C. Relationship between indices of insulin resistance and incident type 2 diabetes mellitus in Chinese adults. Endocrine 2024; 85:1228-1237. [PMID: 38642289 DOI: 10.1007/s12020-024-03830-3] [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: 02/13/2024] [Accepted: 04/09/2024] [Indexed: 04/22/2024]
Abstract
BACKGROUND Insulin resistance (IR) is a pivotal pathogenesis characteristic of type 2 diabetes mellitus (T2DM). The current study aimed to explore the association between triglyceride/high-density lipoprotein cholesterol ratio (TG/HDL-c), triglyceride-glucose (TyG), and triglyceride glucose-body mass index (TyG-BMI), and T2DM incidence. METHODS A total of 116,855 Chinese adults aged over 20 without diabetes were included. Multivariate Cox regression analysis and restricted cubic spine were utilized to investigate the association between IR indicators and T2DM. The T2DM risk across different quartiles of IR parameters was compared using Kaplan-Meier curves. The receiver operating characteristic analysis was used to investigate the predictive potential of each IR indicator for future T2DM. RESULTS A total of 2685 participants developed T2DM during a median follow-up of 2.98 years. The adjusted hazard ratios (HR) of incident T2DM were 1.177, 2.766, and 1.1018 for TG/HDL-c, TyG, and TyG-BMI, respectively. There were significant increasing trends of T2DM across the quartiles of TG/HDL-c, TyG, and TyG-BMI. The HRs of new-onset T2DM in the highest quartiles versus the lowest quartile of TG/HDL-c, TyG, and TyG-BMI were 3.298, 8.402, and 8.468. RCS revealed the nonlinear relationship between IR and T2DM risk. The correlations between IR and T2DM were more pronounced in subjects aged <40. TyG-BMI had the highest predictive value for incident T2DM (AUC = 0.774), with a cut-off value of 213.289. CONCLUSION TG/HDL-c, TyG, and TyG-BMI index were all significantly positively associated with higher risk for future T2DM. Baseline TyG-BMI level had high predictive value for the identification of T2DM.
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Affiliation(s)
- Yuhan Qin
- Department of Cardiology, Zhongda Hospital Affiliated to Southeast University, Nanjing, China
| | - Yong Qiao
- Department of Cardiology, Zhongda Hospital Affiliated to Southeast University, Nanjing, China.
| | - Gaoliang Yan
- Department of Cardiology, Zhongda Hospital Affiliated to Southeast University, Nanjing, China
| | - Dong Wang
- Department of Cardiology, Zhongda Hospital Affiliated to Southeast University, Nanjing, China
| | - Chengchun Tang
- Department of Cardiology, Zhongda Hospital Affiliated to Southeast University, Nanjing, China.
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Cao Y, Yang Q, Mai Q, Wuliu J, Deng K. Relationship between triglyceride-glucose index and endometriosis: a cross-sectional analysis. BMC Womens Health 2024; 24:447. [PMID: 39118074 PMCID: PMC11308201 DOI: 10.1186/s12905-024-03287-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2024] [Accepted: 07/30/2024] [Indexed: 08/10/2024] Open
Abstract
BACKGROUND The link between insulin resistance and endometriosis is not well established. The triglyceride-glucose (TyG) index serves as a straightforward and economical indicator of insulin resistance. This study examines the link between the TyG index and the prevalence of endometriosis in a U.S. COHORT METHODS This cross-sectional study analyzed data from the NHANES conducted between 1999 and 2006. Reproductive health was assessed through questionnaires, and the TyG index was derived from fasting triglyceride and glucose measurements. Weighted logistic regression models were used to analyze the relationship between the TyG index and endometriosis. Restricted cubic spline (RCS) curves explored the linear relationship, while stratified and sensitivity analyses assessed potential interactions and the robustness of the findings. RESULTS The study included 2,346 women, with 176 diagnosed with endometriosis and 2,170 without. Women with endometriosis exhibited an elevated TyG index compared to those without the condition. The weighted logistic regression analysis revealed that the TyG index is an independent risk factor for endometriosis (OR = 1.58, 95% CI 1.17-2.14, p = 0.004). RCS analysis indicated a significant positive linear association between the TyG index and endometriosis, with a turning point at 8.51. Subgroup analysis indicated a stronger association in certain populations. The post-propensity score matching analysis confirmed the robustness of these findings. CONCLUSION In the U.S. population, a higher TyG index is positively and linearly associated with endometriosis prevalence. Effective management of blood glucose and lipid levels may reduce the prevalence of endometriosis.
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Affiliation(s)
- Yue Cao
- Department of Cardiology, Shunde Hospital, Southern Medical University, The First People's Hospital of Shunde, Foshan, Foshan, 528308, P. R. China
| | - Qian Yang
- Department of Gynecology, Shunde Hospital, Southern Medical University, The First People's Hospital of Shunde, Foshan, Foshan, 528308, P. R. China
| | - Qiqing Mai
- Department of Gynecology, Shunde Hospital, Southern Medical University, The First People's Hospital of Shunde, Foshan, Foshan, 528308, P. R. China
| | - Jianxiong Wuliu
- Department of Gynecology, Shunde Hospital, Southern Medical University, The First People's Hospital of Shunde, Foshan, Foshan, 528308, P. R. China
| | - Kaixian Deng
- Department of Gynecology, Shunde Hospital, Southern Medical University, The First People's Hospital of Shunde, Foshan, Foshan, 528308, P. R. China.
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Yang Y, Wang Y, Pei XY. Triglyceride Glucose Body Mass Index as 3 Year Prognostic Indicator for Major Adverse Cardiovascular and Cerebrovascular Events in Patients with Acute Myocardial Infarction After PCI: A Prospective Cohort Study. Clin Interv Aging 2024; 19:1341-1350. [PMID: 39050521 PMCID: PMC11268843 DOI: 10.2147/cia.s473481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Accepted: 07/10/2024] [Indexed: 07/27/2024] Open
Abstract
Background Previous studies have suggested that triglyceride glucose-body mass index (TyG-BMI) is associated with cardiovascular mortality in patients undergoing peritoneal dialysis. However, the predictive value of TyG-BMI in the prognosis of acute myocardial infarction (AMI) remains unclear. Methods In total, 408 AMI patients who underwent PCI were consecutively included in this study. All included patients were then divided into three groups according to tertiles of TyG-BMI. The association between TyG-BMI and major adverse cardiovascular and cerebrovascular events (MACCEs) were investigated. Results Participants were divided into three groups: tertile 1(≤199.4, n=136), tertile 2 (199.4-231.8, n=136), and tertile 3 (≥231.8, n=136). Eighty (19.6%) patients had MACCEs: 18 (13.2%) in tertile 1, 26 (19.1%) in tertile 2, and 36 (25.7%) in tertile 3. The incidence of MACCEs increased as the tertiles of TyG-BMI increased (p<0.05). Multivariate Cox regression analysis revealed that diabetes mellitus and TyG-BMI were independent predictors of MACCEs in AMI patients after PCI (p<0.05). The receiver operating characteristic (ROC) curve showed that when TyG-BMI was ≥192.4, the sensitivity and specificity were 60.1% and 65.4%, respectively, and the area under the ROC curve (AUC) was 0.632 (95% confidence interval [CI]: 0.562-0.703; p < 0.001). Conclusion Elevated TyG-BMI level was an independent predictor of the composite MACCEs in patients with AMI after PCI.
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Affiliation(s)
- Yan Yang
- Department of General Practice, The Hospital Affiliated to Inner Mongolia Minzu University, Tongliao, People’s Republic of China
| | - Yong Wang
- Department of Cardiology, Shenzhen Luohu Hospital Group Luohu People’s Hospital (The Third Affiliated Hospital of Shenzhen University), Shenzhen, People’s Republic of China
| | - Xiao-Yang Pei
- Department of Cardiology, Shenzhen Luohu Hospital Group Luohu People’s Hospital (The Third Affiliated Hospital of Shenzhen University), Shenzhen, People’s Republic of China
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Qiao Q, Liang K, Wang C, Wang L, Yan F, Chen L, Hou X. J-shaped association of the triglyceride glucose-body mass index with new-onset diabetes. Sci Rep 2024; 14:13882. [PMID: 38880800 PMCID: PMC11180648 DOI: 10.1038/s41598-024-64784-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2024] [Accepted: 06/13/2024] [Indexed: 06/18/2024] Open
Abstract
The triglyceride glucose-body mass index (TyG-BMI) is a convenient and clinically significant indicator of insulin resistance. This study aims to investigate the correlation between TyG-BMI and the onset of new-onset diabetes and determine an optimal reflection point for TyG-BMI. An analysis was conducted on 1917 participants from the risk evaluation of cancers in Chinese diabetic individuals: a lONgitudinal (REACTION) study. Participants were categorized based on their TyG-BMI, and the relationship between TyG-BMI and the incidence of new-onset diabetes was explored through logistic regression models, smoothed curve fitting with restricted cubic spline, and a two-piecewise logistic regression model. The mean age of the participants was 57.60 ± 8.89 years, with 66.5% being females. The mean TyG-BMI was 223.3 ± 32.8. Ultimately, 137 individuals (7.1%) progressed to diabetes after three years. After adjusting for covariates, TyG-BMI exhibited a positive correlation with new-onset diabetes (odd ratios (OR) for each standard deviation increase = 1.330, 95% CI 1.110-1.595). The relationship between TyG-BMI and new-onset diabetes was non-linear, with a inflcetion point at 202.9. This study reveals a positive non-linear relationship between TyG-BMI and the risk of new-onset diabetes in Chinese middle-aged and elderly individuals. When TyG-BMI exceeds 202.9, there is a significantly heightened risk of new-onset diabetes. These findings offer valuable insights for preventing new-onset diabetes.
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Affiliation(s)
- Qincheng Qiao
- Department of Endocrinology and Metabolism, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, People's Republic of China
- The First Clinical Medical College, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China
| | - Kai Liang
- Department of Endocrinology and Metabolism, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, People's Republic of China
- Institute of Endocrine and Metabolic Diseases of Shandong University, Jinan, 250012, People's Republic of China
- Key Laboratory of Endocrine and Metabolic Diseases, Shandong Province Medicine & Health, Jinan, People's Republic of China
- Jinan Clinical Research Center for Endocrine and Metabolic Diseases, Jinan, People's Republic of China
| | - Chuan Wang
- Department of Endocrinology and Metabolism, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, People's Republic of China
- Institute of Endocrine and Metabolic Diseases of Shandong University, Jinan, 250012, People's Republic of China
- Key Laboratory of Endocrine and Metabolic Diseases, Shandong Province Medicine & Health, Jinan, People's Republic of China
- Jinan Clinical Research Center for Endocrine and Metabolic Diseases, Jinan, People's Republic of China
| | - Lingshu Wang
- Department of Endocrinology and Metabolism, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, People's Republic of China
- Institute of Endocrine and Metabolic Diseases of Shandong University, Jinan, 250012, People's Republic of China
- Key Laboratory of Endocrine and Metabolic Diseases, Shandong Province Medicine & Health, Jinan, People's Republic of China
- Jinan Clinical Research Center for Endocrine and Metabolic Diseases, Jinan, People's Republic of China
| | - Fei Yan
- Department of Endocrinology and Metabolism, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, People's Republic of China
- Institute of Endocrine and Metabolic Diseases of Shandong University, Jinan, 250012, People's Republic of China
- Key Laboratory of Endocrine and Metabolic Diseases, Shandong Province Medicine & Health, Jinan, People's Republic of China
- Jinan Clinical Research Center for Endocrine and Metabolic Diseases, Jinan, People's Republic of China
| | - Li Chen
- Department of Endocrinology and Metabolism, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, People's Republic of China.
- Institute of Endocrine and Metabolic Diseases of Shandong University, Jinan, 250012, People's Republic of China.
- Key Laboratory of Endocrine and Metabolic Diseases, Shandong Province Medicine & Health, Jinan, People's Republic of China.
- Jinan Clinical Research Center for Endocrine and Metabolic Diseases, Jinan, People's Republic of China.
| | - Xinguo Hou
- Department of Endocrinology and Metabolism, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, People's Republic of China.
- Institute of Endocrine and Metabolic Diseases of Shandong University, Jinan, 250012, People's Republic of China.
- Key Laboratory of Endocrine and Metabolic Diseases, Shandong Province Medicine & Health, Jinan, People's Republic of China.
- Jinan Clinical Research Center for Endocrine and Metabolic Diseases, Jinan, People's Republic of China.
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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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Ding L, Fu B, Zhang H, Dai C, Zhang A, Yu F, Mi L, Hua W, Tang M. The impact of triglyceride glucose-body mass index on all-cause and cardiovascular mortality in elderly patients with diabetes mellitus: evidence from NHANES 2007-2016. BMC Geriatr 2024; 24:356. [PMID: 38649828 PMCID: PMC11034154 DOI: 10.1186/s12877-024-04992-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Accepted: 04/17/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND The relationship between triglyceride glucose-body mass index (TyG-BMI) index and mortality in elderly patients with diabetes mellitus (DM) are still unclear. This study aimed to investigate the association between TyG-BMI with all-cause and cardiovascular mortality among elderly DM patients in the United States (US). METHODS Patients aged over 60 years with DM from the National Health and Nutrition Examination Survey (2007-2016) were included in this study. The study endpoints were all-cause and cardiovascular mortality and the morality data were extracted from the National Death Index (NDI) which records up to December 31, 2019. Multivariate Cox proportional hazards regression model was used to explore the association between TyG-BMI index with mortality. Restricted cubic spline was used to model nonlinear relationships. RESULTS A total of 1363 elderly diabetic patients were included, and were categorized into four quartiles. The mean age was 70.0 ± 6.8 years, and 48.6% of them were female. Overall, there were 429 all-cause deaths and 123 cardiovascular deaths were recorded during a median follow-up of 77.3 months. Multivariate Cox regression analyses indicated that compared to the 1st quartile (used as the reference), the 3rd quartile demonstrated a significant association with all-cause mortality (model 2: HR = 0.64, 95% CI 0.46-0.89, P = 0.009; model 3: HR = 0.65, 95% CI 0.43-0.96, P = 0.030). Additionally, the 4th quartile was significantly associated with cardiovascular mortality (model 2: HR = 1.83, 95% CI 1.01-3.30, P = 0.047; model 3: HR = 2.45, 95% CI 1.07-5.57, P = 0.033). The restricted cubic spline revealed a U-shaped association between TyG-BMI index with all-cause mortality and a linear association with cardiovascular mortality, after adjustment for possible confounding factors. CONCLUSIONS A U-shaped association was observed between the TyG-BMI index with all-cause mortality and a linear association was observed between the TyG-BMI index with cardiovascular mortality in elderly patients with DM in the US population.
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Affiliation(s)
- Lei Ding
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Cardiovascular Institute, Fuwai Hospital, Chinese Academy of Medical Sciences, and Peking Union Medical College, Beijing, 100037, China
| | - Bingqi Fu
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Cardiovascular Institute, Fuwai Hospital, Chinese Academy of Medical Sciences, and Peking Union Medical College, Beijing, 100037, China
| | - Hongda Zhang
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Cardiovascular Institute, Fuwai Hospital, Chinese Academy of Medical Sciences, and Peking Union Medical College, Beijing, 100037, China
| | - Cong Dai
- Department of Health Policy and Management, School of Public Health, Peking University Health Science Center, No.167 Beilishi Rd, Xicheng District, Beijing, 100037, China
| | - Aikai Zhang
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Cardiovascular Institute, Fuwai Hospital, Chinese Academy of Medical Sciences, and Peking Union Medical College, Beijing, 100037, China
| | - Fengyuan Yu
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Cardiovascular Institute, Fuwai Hospital, Chinese Academy of Medical Sciences, and Peking Union Medical College, Beijing, 100037, China
| | - Lijie Mi
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Cardiovascular Institute, Fuwai Hospital, Chinese Academy of Medical Sciences, and Peking Union Medical College, Beijing, 100037, China
| | - Wei Hua
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Cardiovascular Institute, Fuwai Hospital, Chinese Academy of Medical Sciences, and Peking Union Medical College, Beijing, 100037, China
| | - Min Tang
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Cardiovascular Institute, Fuwai Hospital, Chinese Academy of Medical Sciences, and Peking Union Medical College, Beijing, 100037, China.
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Yang H, Kuang M, Qiu J, He S, Yu C, Sheng G, Zou Y. Relative importance of triglyceride glucose index combined with body mass index in predicting recovery from prediabetic state to normal fasting glucose: a cohort analysis based on a Chinese physical examination population. Lipids Health Dis 2024; 23:71. [PMID: 38459527 PMCID: PMC10921811 DOI: 10.1186/s12944-024-02060-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 02/27/2024] [Indexed: 03/10/2024] Open
Abstract
BACKGROUND Prediabetes is a high-risk state for diabetes, and numerous studies have shown that the body mass index (BMI) and triglyceride-glucose (TyG) index play significant roles in risk prediction for blood glucose metabolism. This study aims to evaluate the relative importance of BMI combination with TyG index (TyG-BMI) in predicting the recovery from prediabetic status to normal blood glucose levels. METHODS A total of 25,397 prediabetic subjects recruited from 32 regions across China. Normal fasting glucose (NFG), prediabetes, and diabetes were defined referring to the American Diabetes Association (ADA) criteria. After normalizing the independent variables, the impact of TyG-BMI on the recovery or progression of prediabetes was analyzed through the Cox regression models. Receiver Operating Characteristic (ROC) curve analysis was utilized to visualize and compare the predictive value of TyG-BMI and its constituent components in prediabetes recovery/progression. RESULTS During the average observation period of 2.96 years, 10,305 individuals (40.58%) remained in the prediabetic state, 11,278 individuals (44.41%) recovered to NFG, and 3,814 individuals (15.02%) progressed to diabetes. The results of multivariate Cox regression analysis demonstrated that TyG-BMI was negatively associated with recovery from prediabetes to NFG and positively associated with progression from prediabetes to diabetes. Further ROC analysis revealed that TyG-BMI had higher impact and predictive value in predicting prediabetes recovering to NFG or progressing to diabetes in comparison to the TyG index and BMI. Specifically, the TyG-BMI threshold for predicting prediabetes recovery was 214.68, while the threshold for predicting prediabetes progression was 220.27. Additionally, there were significant differences in the relationship of TyG-BMI with prediabetes recovering to NFG or progressing to diabetes within age subgroups. In summary, TyG-BMI is more suitable for assessing prediabetes recovery or progression in younger populations (< 45 years old). CONCLUSIONS This study, for the first time, has revealed the significant impact and predictive value of the TyG index in combination with BMI on the recovery from prediabetic status to normal blood glucose levels. From the perspective of prediabetes intervention, maintaining TyG-BMI within the threshold of 214.68 holds crucial significance.
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Affiliation(s)
- Hongyi Yang
- Department of Ultrasound, the Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, China
| | - Maobin Kuang
- Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi Province, China
- Jiangxi Provincial Geriatric Hospital, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi Province, China
| | - Jiajun Qiu
- Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi Province, China
- Jiangxi Provincial Geriatric Hospital, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi Province, China
| | - Shiming He
- Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi Province, China
- Jiangxi Provincial Geriatric Hospital, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi Province, China
| | - Changhui Yu
- Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi Province, China
- Jiangxi Provincial Geriatric Hospital, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi Province, China
| | - Guotai Sheng
- Jiangxi Provincial Geriatric Hospital, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi Province, China.
| | - Yang Zou
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi Province, China.
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Bielka W, Przezak A, Molęda P, Pius-Sadowska E, Machaliński B. Double diabetes-when type 1 diabetes meets type 2 diabetes: definition, pathogenesis and recognition. Cardiovasc Diabetol 2024; 23:62. [PMID: 38341550 PMCID: PMC10859035 DOI: 10.1186/s12933-024-02145-x] [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: 12/19/2023] [Accepted: 01/26/2024] [Indexed: 02/12/2024] Open
Abstract
Currently, the differentiation between type 1 diabetes (T1D) and type 2 diabetes (T2D) is not straightforward, and the features of both types of diabetes coexist in one subject. This situation triggered the need to discriminate so-called double diabetes (DD), hybrid diabetes or type 1.5 diabetes, which is generally described as the presence of the insulin resistance characteristic of metabolic syndrome in individuals diagnosed with T1D. DD not only raises the question of proper classification of diabetes but is also associated with a significantly greater risk of developing micro- and macroangiopathic complications, which was independent of glycaemic control. When considering the global obesity pandemic and increasing incidence of T1D, the prevalence of DD may also presumably increase. Therefore, it is of the highest priority to discover the mechanisms underlying the development of DD and to identify appropriate methods to prevent or treat DD. In this article, we describe how the definition of double diabetes has changed over the years and how it is currently defined. We discuss the accuracy of including metabolic syndrome in the DD definition. We also present possible hypotheses connecting insulin resistance with T1D and propose possible methods to identify individuals with double diabetes based on indirect insulin resistance markers, which are easily assessed in everyday clinical practice. Moreover, we discuss adjuvant therapy which may be considered in double diabetic patients.
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Affiliation(s)
- Weronika Bielka
- Department of Diabetology and Internal Diseases, Pomeranian Medical University, 72-009, Police, Poland.
| | - Agnieszka Przezak
- Department of Diabetology and Internal Diseases, Pomeranian Medical University, 72-009, Police, Poland
| | - Piotr Molęda
- Department of Diabetology and Internal Diseases, Pomeranian Medical University, 72-009, Police, Poland
| | - Ewa Pius-Sadowska
- Department of General Pathology, Pomeranian Medical University, 70-111, Szczecin, Poland
| | - Bogusław Machaliński
- Department of General Pathology, Pomeranian Medical University, 70-111, Szczecin, Poland
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Wang Y, Zhang X, Li Y, Gui J, Mei Y, Yang X, Liu H, Guo LL, Li J, Lei Y, Li X, Sun L, Yang L, Yuan T, Wang C, Zhang D, Li J, Liu M, Hua Y, Zhang L. Obesity- and lipid-related indices as a predictor of type 2 diabetes in a national cohort study. Front Endocrinol (Lausanne) 2024; 14:1331739. [PMID: 38356678 PMCID: PMC10864443 DOI: 10.3389/fendo.2023.1331739] [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: 11/01/2023] [Accepted: 12/26/2023] [Indexed: 02/16/2024] Open
Abstract
Objective Type 2 diabetes mellitus (T2DM) remains a major and widespread public health concern throughout the world. The prevalence of T2DM in the elderly has risen to the top of the list of public health concerns. In this study, obesity- and lipid-related indices were used to predict T2DM in middle-aged and elderly Chinese adults. Methods The data came from the China Health and Retirement Longitudinal Study (CHARLS), including 7902 middle-aged and elderly participants aged 45 years or above. The study assessed the association of obesity- and lipid-related indices and T2DM by measuring 13 indicators, including body mass index (BMI), waist circumference(WC), waist-height ratio (WHtR), conicity index(CI), visceral adiposity index (VAI), Chinese visceral adiposity index (CVAI), lipid accumulation product (LAP), a body shape index (ABSI), body roundness index (BRI), triglyceride glucose index (TyG-index) and its correlation index (TyG-BMI, TyG-WC, TyG-WHtR). The association of 13 obesity- and lipid-related indices with T2DM was investigated by binary logistic regression. Additionally, the predictive anthropometric index was evaluated, and the ideal cut-off value was established using the receiver operating characteristic (ROC) curve analysis and area under the curve (AUC). Results The study included 7902 participants, of whom 3638(46.04) and 4264(53.96) were male and female. The prevalence of T2DM in mid-aged and old adults in China was 9.02% in males and 9.15% in females. All the above 13 indicators show a modest predictive power (AUC>0.5), which was significant for predicting T2DM in adults (middle-aged and elderly people) in China (P<0.05). The results revealed that TyG-WHtR [AUC =0.600, 95%CI: 0.566-0.634] in males and in females [AUC =0.664, 95%CI: 0.636-0.691] was the best predictor of T2DM (P<0.05). Conclusion Most obesity- and lipid-related indices have important value in predicting T2DM. Our results can provide measures for the early identification of T2DM in mid-aged and elderly Chinese to reduce the prevalence of T2DM and improve health.
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Affiliation(s)
- Ying Wang
- Department of Graduate School, Wannan Medical College, Wuhu, An Hui, China
| | - Xiaoyun Zhang
- Department of Graduate School, Wannan Medical College, Wuhu, An Hui, China
| | - Yuqing Li
- Department of Graduate School, Wannan Medical College, Wuhu, An Hui, China
| | - Jiaofeng Gui
- Department of Graduate School, Wannan Medical College, Wuhu, An Hui, China
| | - Yujin Mei
- Department of Graduate School, Wannan Medical College, Wuhu, An Hui, China
| | - Xue Yang
- Department of Graduate School, Wannan Medical College, Wuhu, An Hui, China
| | - Haiyang Liu
- Student Health Center, Wannan Medical College, Wuhu, An Hui, China
| | - Lei-lei Guo
- Department of Surgical Nursing, School of Nursing, Jinzhou Medical University, Linghe District, Jinzhou, Liaoning, China
| | - Jinlong Li
- Department of Occupational and Environmental Health, Key Laboratory of Occupational Health and Safety for Coal Industry in Hebei Province, School of Public Health, North China University of Science and Technology, Tangshan, Hebei, China
| | - Yunxiao Lei
- Obstetrics and Gynecology Nursing, School of Nursing, Wannan Medical College, Wuhu, An Hui, China
| | - Xiaoping Li
- Department of Emergency and Critical Care Nursing, School of Nursing, Wannan Medical College, Wuhu, An Hui, China
| | - Lu Sun
- Department of Emergency and Critical Care Nursing, School of Nursing, Wannan Medical College, Wuhu, An Hui, China
| | - Liu Yang
- Department of Internal Medicine Nursing, School of Nursing, Wannan Medical College, Wuhu, An Hui, China
| | - Ting Yuan
- Obstetrics and Gynecology Nursing, School of Nursing, Wannan Medical College, Wuhu, An Hui, China
| | - Congzhi Wang
- Department of Internal Medicine Nursing, School of Nursing, Wannan Medical College, Wuhu, An Hui, China
| | - Dongmei Zhang
- Department of Pediatric Nursing, School of Nursing, Wannan Medical College, Wuhu, An Hui, China
| | - Jing Li
- Department of Surgical Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu, An Hui, China
| | - Mingming Liu
- Department of Surgical Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu, An Hui, China
| | - Ying Hua
- Rehabilitation Nursing, School of Nursing, Wanna Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu, An Hui, China
| | - Lin Zhang
- Department of Internal Medicine Nursing, School of Nursing, Wannan Medical College, Wuhu, An Hui, China
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