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Dong H, Hu P, Wang J, Lu N. Serum magnesium and calcium were inversely associated with hemoglobin glycation index and triglyceride-glucose index in adults with coronary artery disease. Biol Trace Elem Res 2024:10.1007/s12011-024-04287-1. [PMID: 38913294 DOI: 10.1007/s12011-024-04287-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Accepted: 06/19/2024] [Indexed: 06/25/2024]
Abstract
Little is known about the associations of magnesium (Mg) and calcium (Ca) with hemoglobin glycation index (HGI) and triglyceride-glucose index (TyG) in adults. In this study, we examined the associations of serum Mg and Ca with HGI and TyG in adults with coronary artery disease (CAD). This hospital-based cross-sectional study included 10757 CAD patients with a mean age of 61.6 years. Serum concentrations of Mg and Ca were measured in clinical laboratory. Overall, serum Mg and Ca were inversely associated with HGI and TyG. In multivariable analyses, Mg and Ca were inversely associated with HGI (MgQ4 vs. Q3: -0.601 vs. -0.528; CaQ4 vs. Q1: -0.769 vs. -0.645). In terms of TyG, inverse associations of serum Mg and Ca with TyG were observed. The corresponding TyG values were 9.054 (vs. 9.099) for Mg and 9.068 (vs. 9.171) for Ca in the fourth quartile compared with the first quartile. Moreover, Mg, Ca or Mg/Ca ratio were also inversely associated with HbA1c and FBG. In path analysis, no mediating effects of obesity on "serum Mg (or Ca)- HGI (or TyG)" associations were observed. Generally, our study identified the inverse associations of the serum Mg and Ca levels with HGI and TyG in adults with CAD. Large sample longitudinal study, and particularly randomized controlled trials, are warranted to validate our findings and overcome the limitations of cross-sectional studies.
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Affiliation(s)
- Hongli Dong
- Department of Child Healthcare and Scientific Education Section, Affiliated Maternity & Child Health Care Hospital of Nantong University, Nantong, 226018, Jiangsu, People's Republic of China
| | - Ping Hu
- Image Center, Wuhan Asia Heart Hospital, Wuhan, 430022, Hubei, People's Republic of China
| | - Jie Wang
- Image Center, Wuhan Asia Heart Hospital, Wuhan, 430022, Hubei, People's Republic of China
| | - Nan Lu
- Department of Psycho-Cardiology, Beijing Anzhen Hospital Affiliated to Capital Medical University, Beijing, 100029, People's Republic of China.
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Wang R, Chen C, Xu G, Jin Z. Association of triglyceride glucose-body mass index and hemoglobin glycation index with heart failure prevalence in hypertensive populations: a study across different glucose metabolism status. Lipids Health Dis 2024; 23:53. [PMID: 38388437 PMCID: PMC10882741 DOI: 10.1186/s12944-024-02045-9] [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: 11/15/2023] [Accepted: 02/08/2024] [Indexed: 02/24/2024] Open
Abstract
BACKGROUND The Triglyceride glucose-body mass index (TyG-BMI) and hemoglobin glycation index (HGI) are well-established surrogate markers for insulin resistance. Nevertheless, the extent to which these markers offer additive predictive value for heart failure (HF) prevalence in hypertensive populations, and their predictive utility across various diabetic statuses, remains to be clarified. Consequently, this study aimed to explore the independent and synergistic effects of TyG-BMI and HGI on HF risk among individuals with different diabetic statuses. METHODS Data from the study population (n = 9847) were obtained from the National Health and Nutrition Examination Survey (NHANES). Multivariable logistic regression models were employed to estimate odds ratios (ORs) and 95% confidence intervals (CIs) to assess the combined associations between TyG-BMI and HGI and the prevalence of HF across various diabetic statuses. RESULTS In the total population, compared to the reference group (low TyG-BMI and low HGI), the OR (95% CI) for HF prevalence was 1.30 (1.04, 1.64) for the combination of low TyG-BMI and high HGI, 2.40 (1.76, 3.29) for high TyG-BMI and low HGI, and 3.47 (2.41, 4.99) for high TyG-BMI and high HGI. Interestingly, among normoglycemic individuals, higher TyG-BMI and HGI did not significantly increase the prevalence of HF. Conversely, in the prediabetic population, the OR (95%CI) for HF prevalence was 2.42 (1.69, 3.48) for the combination of high TyG-BMI and low HGI, and 4.30 (2.45, 7.54) for high TyG-BMI and high HGI. Similarly, in the diabetic population, the OR (95%CI) for HF prevalence was 2.22 (1.43, 3.45) for low TyG-BMI and high HGI, 4.04 (2.43, 6.73) for high TyG-BMI and low HGI, and 4.13 (2.25, 7.59) for high TyG-BMI and high HGI, compared to low TyG-BMI and low HGI. CONCLUSION This study reveals that elevated TyG-BMI and HGI levels exert a synergistic impact on the prevalence of HF in hypertensive adults, especially in those with prediabetes and diabetes. Additionally, the presence of prediabetes and diabetes may amplify the detrimental combined effect of TyG-BMI and HGI on HF prevalence.
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Affiliation(s)
- Rupeng Wang
- Department of Cardiology and Macrovascular Disease, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Beijing, 100070, China
| | - Ce Chen
- Department of Cardiology, Beijing Shijitan Hospital, Capital Medical University, Beijing, 10038, China
| | - Guiyu Xu
- Department of Cardiology, Beijing Shijitan Hospital, Capital Medical University, Beijing, 10038, China
| | - Zening Jin
- Department of Cardiology and Macrovascular Disease, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Beijing, 100070, China.
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Wang Y, Liu H, Hu X, Wang A, Wang A, Kang S, Zhang L, Gu W, Dou J, Mu Y, Chen K, Wang W, Lyu Z. Association between hemoglobin glycation index and 5-year major adverse cardiovascular events: the REACTION cohort study. Chin Med J (Engl) 2023; 136:2468-2475. [PMID: 37265382 PMCID: PMC10586840 DOI: 10.1097/cm9.0000000000002717] [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: 12/27/2022] [Indexed: 06/03/2023] Open
Abstract
BACKGROUND The hemoglobin glycation index (HGI) was developed to quantify glucose metabolism and individual differences and proved to be a robust measure of individual glycosylated hemoglobin (HbA1c) bias. Here, we aimed to explore the relationship between different HGIs and the risk of 5-year major adverse cardiovascular events (MACEs) by performing a large multicenter cohort study in China. METHODS A total of 9791 subjects from the Risk Evaluation of Cancers in Chinese Diabetic Individuals: a Longitudinal Study (the REACTION study) were divided into five subgroups (Q1-Q5) with the HGI quantiles (≤5th, >5th and ≤33.3th, >33.3th and ≤66.7th, >66.7th and ≤95th, and >95th percentile). A multivariate logistic regression model constructed by the restricted cubic spline method was used to evaluate the relationship between the HGI and the 5-year MACE risk. Subgroup analysis between the HGI and covariates were explored to detect differences among the five subgroups. RESULTS The total 5-year MACE rate in the nationwide cohort was 6.87% (673/9791). Restricted cubic spline analysis suggested a U-shaped correlation between the HGI values and MACE risk after adjustment for cardiovascular risk factors ( χ2 = 29.5, P <0.001). After adjustment for potential confounders, subjects with HGIs ≤-0.75 or >0.82 showed odds ratios (ORs) for MACE of 1.471 (95% confidence interval [CI], 1.027-2.069) and 2.222 (95% CI, 1.641-3.026) compared to subjects with HGIs of >-0.75 and ≤-0.20. In the subgroup with non-coronary heart disease, the risk of MACE was significantly higher in subjects with HGIs ≤-0.75 (OR, 1.540 [1.039-2.234]; P = 0.027) and >0.82 (OR, 2.022 [1.392-2.890]; P <0.001) compared to those with HGIs of ≤-0.75 or >0.82 after adjustment for potential confounders. CONCLUSIONS We found a U-shaped correlation between the HGI values and the risk of 5-year MACE. Both low and high HGIs were associated with an increased risk of MACE. Therefore, the HGI may predict the 5-year MACE risk.
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Affiliation(s)
- Yuhan Wang
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Hongzhou Liu
- Department of Endocrinology, The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing 100853, China
| | - Xiaodong Hu
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Anping Wang
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Anning Wang
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Shaoyang Kang
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Lingjing Zhang
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Weijun Gu
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Jingtao Dou
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Yiming Mu
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Kang Chen
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Weiqing Wang
- Department of Endocrinology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Institute of Endocrine and Metabolic Diseases, Shanghai 200025, China
| | - Zhaohui Lyu
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
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Guo R, Wang X, Liu Y, Huang M, Ma M, He Y, Yang R, Gao S, Luo M, Zhao G, Li L, Yu C. The Association Between Hemoglobin Glycation Index and Carotid Artery Plaque in Patients With Coronary Heart Disease. Angiology 2023:33197231198688. [PMID: 37641559 DOI: 10.1177/00033197231198688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
This study aimed to examine the association between the hemoglobin glycation index (HGI) and carotid artery plaque (CAP) in patients with coronary heart disease (CHD). We conducted a cross-sectional analysis of 10,778 patients with CHD. The participants were divided into three groups by HGI tertiles (T1 HGI<-0.44, T2 -0.44 ≤ HGI ≤ 0.15, T3 HGI>0.15). The presence of CAP was used to diagnose by carotid ultrasonography. Logistic regression analysis was used to analyze the association between the HGI and CAP. The association between HGI and CAP was also assessed according to sex, age, smoking status, and drinking status. We further assessed the association between HGI and the ultrasound characteristics of CAP. The baseline analysis showed substantial differences in relevant parameters between the three groups of patients with CHD according to the tertiles of the HGI. Multivariate logistic regression analysis showed that HGI was significantly associated with CAP (odds ratio [OR] 1.32; 95% confidence interval [CI] 1.26-1.39). The association between HGI and CAP exists among different sex, age, smoking, and drinking status. Furthermore, there was a significant and positive association between HGI and all four different echogenicities of the CAP.
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Affiliation(s)
- Ruiying Guo
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Xu Wang
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Yijia Liu
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Mengnan Huang
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Mei Ma
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Yuanyuan He
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Rongrong Yang
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Shan Gao
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Mingchi Luo
- Second Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Guoyuan Zhao
- First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Lin Li
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Chunquan Yu
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
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Dong H, Wang J, Hu P, Lu N. Associations of apolipoproteinA1, high density lipoprotein cholesterol with hemoglobin glycation index and triglyceride-glucose index in Chinese adults with coronary artery disease. J Diabetes Complications 2023; 37:108516. [PMID: 37276657 DOI: 10.1016/j.jdiacomp.2023.108516] [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: 02/24/2023] [Revised: 05/15/2023] [Accepted: 05/20/2023] [Indexed: 06/07/2023]
Abstract
AIMS Scarce data explored the associations of apolipoproteins with hemoglobin glycation index (HGI) and triglyceride-glucose (TyG) index. This study determined associations of serum apolipoproteinA1 (ApoA1) and high density lipoprotein cholesterol (HDL-C) with HGI and TyG index in coronary artery disease (CAD) patients. METHODS A total of 10,803 CAD patients were included in this cross-sectional pilot study. Serum concentrations of ApoA1 and HDL-C were measured. Analyses of covariance were used to compare the mean differences in glucose metabolism indices (e.g., HGI, TyG index, hemoglobin glycation [HbA1c], fasting blood glucose [FBG]) among the quartiles of ApoA1, HDL-C and HDL-C/ApoA1 ratio. RESULTS In multivariate analysis, higher ApoA1, HDL-C and HDL-C/ApoA1 ratio were associated with significantly lower HGI (Quartile [Q]4 vs. Q1: -0.032 % vs. 0.017 % for ApoA1; -0.072 % vs. 0.079 % for HDL-C; -0.083 % vs. 0.085 % for HDL-C/ApoA1 ratio). Intermediate ApoA1 level was inversely associated with TyG index (Q2 vs. Q1: 296.278 vs. 306.794). The mean TyG index were significantly decreased with increased HDL-C and HDL-C/ApoA1 ratio (Q4 vs. Q1: 298.584 vs. 309.221 for HDL-C; 300.405 vs. 315.218 for HDL-C/ApoA1 ratio). Moreover, the inverse associations of ApoA1, HDL-C and HDL-C/ApoA1 ratio with HbA1c and FBG also were observed. In path analysis, the associations of HDL-C and HDL-C/ApoA1 ratio with TyG index were mediated by obesity. CONCLUSION This study provided further support for the hypoglycemic effects of ApoA1 and HDL-C in patients with CAD. Replication of these findings is warranted in further longitudinal studies in different populations.
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Affiliation(s)
- Hongli Dong
- Department of Child Healthcare and Scientific Education Section, Affiliated Maternity & Child Health Care Hospital of Nantong University, Nantong, Jiangsu, China
| | - Jie Wang
- Image Center, Wuhan Asia Heart Hospital, Wuhan, Hubei, China
| | - Ping Hu
- Image Center, Wuhan Asia Heart Hospital, Wuhan, Hubei, China
| | - Nan Lu
- Department of Psycho-Cardiology, Beijing Anzhen Hospital Affiliated to Capital Medical University, Beijing, China.
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Sakane N, Hirota Y, Yamamoto A, Miura J, Takaike H, Hoshina S, Toyoda M, Saito N, Hosoda K, Matsubara M, Tone A, Kawashima S, Sawaki H, Matsuda T, Domichi M, Suganuma A, Sakane S, Murata T. Factors associated with hemoglobin glycation index in adults with type 1 diabetes mellitus: The FGM-Japan study. J Diabetes Investig 2023; 14:582-590. [PMID: 36789495 PMCID: PMC10034957 DOI: 10.1111/jdi.13973] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 12/22/2022] [Accepted: 12/24/2022] [Indexed: 02/16/2023] Open
Abstract
AIMS/INTRODUCTION The discrepancy between HbA1c and glucose exposure may have significant clinical implications; however, the association between the hemoglobin glycation index (HGI) and clinical parameters in type 1 diabetes remains controversial. This study aimed to find the factors associated with HGI (laboratory HbA1c - predicted HbA1c derived from the continuous glucose monitoring [CGM]). MATERIALS AND METHODS We conducted a cross-sectional study of adults with type 1 diabetes (n = 211, age 50.9 ± 15.2 years old, female sex = 59.2%, duration of CGM use = 2.1 ± 1.0 years). All subjects wore the CGM for 90 days before HbA1c measurement. Data derived from the FreeStyle Libre sensor were used to calculate the glucose management indicator (GMI) and glycemic variability (GV) parameters. HGI was defined as the difference between the GMI and the laboratory HbA1c levels. The participants were divided into three groups according to the HGI tertile (low, moderate, and high). Multivariate regression analyses were performed. RESULTS The female sex ratio, HbA1c, and % coefficient of variation (%CV) significantly increased over the HGI tertile, while eGFR and Hb decreased over the HGI tertile. In multivariate analysis, the factors associated with HGI were %CV and eGFR, after adjusting for HbA1c level and sex (R2 = 0.44). CONCLUSIONS This study demonstrated that HGI is associated with female sex, eGFR, and some glycemic variability indices, independently of HbA1c. Minimizing glycemic fluctuations might reduce HGI. This information provides diabetic health professionals and patients with personalized diabetes management for adults with type 1 diabetes.
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Affiliation(s)
- Naoki Sakane
- Division of Preventive Medicine, Clinical Research Institute, National Hospital Organization Kyoto Medical Center, Kyoto, Japan
| | - Yushi Hirota
- Division of Diabetes and Endocrinology, The Department of Internal Medicine, Kobe University Graduate School of Medicine, Hyogo, Japan
| | - Akane Yamamoto
- Division of Diabetes and Endocrinology, The Department of Internal Medicine, Kobe University Graduate School of Medicine, Hyogo, Japan
| | - Junnosuke Miura
- Division of Diabetology and Metabolism, Department of Internal Medicine, Tokyo Women's Medical University School of Medicine, Tokyo, Japan
| | - Hiroko Takaike
- Division of Diabetology and Metabolism, Department of Internal Medicine, Tokyo Women's Medical University School of Medicine, Tokyo, Japan
| | - Sari Hoshina
- Division of Diabetology and Metabolism, Department of Internal Medicine, Tokyo Women's Medical University School of Medicine, Tokyo, Japan
| | - Masao Toyoda
- Division of Nephrology, Endocrinology and Metabolism, Department of Internal Medicine, Tokai University School of Medicine, Isehara, Japan
| | - Nobumichi Saito
- Division of Nephrology, Endocrinology and Metabolism, Department of Internal Medicine, Tokai University School of Medicine, Isehara, Japan
| | - Kiminori Hosoda
- Division of Diabetes and Lipid Metabolism, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Masaki Matsubara
- Division of Diabetes and Lipid Metabolism, National Cerebral and Cardiovascular Center, Osaka, Japan
- Department of General Medicine, Nara Medical University, Nara, Japan
| | - Atsuhito Tone
- Department of Internal Medicine, Okayama Saiseikai General Hospital, Okayama, Japan
| | | | - Hideaki Sawaki
- Sawaki Internal Medicine and Diabetes Clinic, Osaka, Japan
| | | | - Masayuki Domichi
- Division of Preventive Medicine, Clinical Research Institute, National Hospital Organization Kyoto Medical Center, Kyoto, Japan
| | - Akiko Suganuma
- Division of Preventive Medicine, Clinical Research Institute, National Hospital Organization Kyoto Medical Center, Kyoto, Japan
| | - Seiko Sakane
- Division of Preventive Medicine, Clinical Research Institute, National Hospital Organization Kyoto Medical Center, Kyoto, Japan
| | - Takashi Murata
- Department of Clinical Nutrition, National Hospital Organization Kyoto Medical Center, Kyoto, Japan
- Diabetes Center, National Hospital Organization Kyoto Medical Center, Kyoto, Japan
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Xin S, Zhao X, Ding J, Zhang X. Association between hemoglobin glycation index and diabetic kidney disease in type 2 diabetes mellitus in China: A cross- sectional inpatient study. Front Endocrinol (Lausanne) 2023; 14:1108061. [PMID: 36967789 PMCID: PMC10031087 DOI: 10.3389/fendo.2023.1108061] [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: 11/25/2022] [Accepted: 02/20/2023] [Indexed: 03/29/2023] Open
Abstract
Objective To investigate the association between Hemoglobin Glycation Index (HGI) and Diabetic Kidney Disease (DKD) in Chinese type 2 diabetic individuals and to construct a risk score based on HGI to predict a person's risk of DKD. Methods We retrospectively analyzed 1622 patients with type 2 diabetes mellitus (T2DM). HGI was obtained by calculating the fasting plasma glucose (FPG) level into the formula, and they were grouped into low HGI group (L-HGI), medium HGI group (H-HGI) and high HGI group (H-HGI) according to tri-sectional quantile of HGI. The occurrence of DKD was analyzed in patients with different levels of HGI. Multivariate logistics regression analysis was used to analyze the risk factors of DKD in patients with T2DM. Results A total of 1622 patients with T2DM were enrolled in the study. Among them, 390 cases were DKD. The prevalence of DKD among the three groups was 16.6%, 24.2% and 31.3%. The difference was statistically significant (P = 0.000). There were significant differences in age (P=0.033), T2DM duration (P=0.005), systolic blood pressure (SBP) (P=0.003), glycosylated hemoglobin (HbA1c) (P=0.000), FPG (P=0.032), 2-hour postprandial plasma glucose (2h-PPG) (P=0.000), fasting C-peptide FCP (P=0.000), 2-hour postprandial C-peptide (2h-CP) (P=0.000), total cholesterol (TC) (P=0.003), low density lipoprotein cholesterol (LDL-C) (P=0.000), serum creatinine (sCr) (P=0.001), estimated glomerular filtration rate (eGFR) (P=0.000) among the three groups. Mantel-Haenszel chi-square test showed that there was a linear relationship between HGI and DKD (x2=177.469, p < 0.001). Pearson correlation analysis showed that with the increase of HGI level the prevalence of DKD was increasing (R= 0.445, P=0.000). It was indicated by univariate logistic regression analysis that individuals in H-HGI was more likely to develop DKD (OR: 2.283, 95% CI: 1.708~ 3.052) when compared with L-HGI. Adjusted to multiple factors, this trend still remained significant (OR: 2.660, 95% CI: 1.935~ 3.657). The combined DKD risk score based on HGI resulted in an area under the receiver operator characteristic curve (AUROC) of 0.702. Conclusions High HGI is associated with an increased risk of DKD. DKD risk score may be used as one of the risk predictors of DKD in type 2 diabetic population.
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Affiliation(s)
- Sixu Xin
- Department of Endocrinology, Peking University International Hospital, Beijing, China
| | - Xin Zhao
- Department of Endocrinology, Peking University International Hospital, Beijing, China
| | - Jiaxiang Ding
- Department of Nephrology, Peking University International Hospital, Beijing, China
| | - Xiaomei Zhang
- Department of Endocrinology, Peking University International Hospital, Beijing, China
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Wang Z, Liu Y, Xie J, Liu NF. Association between hemoglobin glycation index and subclinical myocardial injury in the general population free from cardiovascular disease. Nutr Metab Cardiovasc Dis 2022; 32:469-478. [PMID: 34895803 DOI: 10.1016/j.numecd.2021.10.018] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2021] [Revised: 10/09/2021] [Accepted: 10/21/2021] [Indexed: 01/20/2023]
Abstract
BACKGROUND AND AIMS The relationship between hemoglobin glycation index (HGI) and the diagnosis and prognosis of cardiovascular disease (CVD) has been verified by previous studies. However, it remains unknown whether HGI has a predictive effect on subclinical myocardial injury (SC-MI). The purpose of the present study was to explore the relationship between HGI and SC-MI in the general population free from CVD. METHODS AND RESULTS The present study included 6009 participants free of CVD from the third National Health and Nutrition Examination Survey. Binary Logistic regression analysis was used to tested the association between HGI and SC-MI. As results, the HGI was significantly higher in participants with SC-MI compared with those without, and the HGI was positively correlated with SC-MI and other metabolic disorder parameters. Each 1-unit increase of HGI and glycated hemoglobin A1c (HbA1c) was independently associated with higher risk of SC-MI (P < 0.05), while fasting plasma glucose (FPG) was no longer a predictive indicator of SC-MI with the increase of confounding factors [OR (95% CI): 1.001 (0.999-1.003), P = 0.305]. And in the subgroup analysis, HGI, only in participants without diabetes, was independently associated with higher risk of SC-MI, while HbA1c and FPG had no independent predictive role in both diabetic and non-diabetic participants. CONCLUSIONS HGI was a significant predictor of SC-MI in the general population free from CVD.
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Affiliation(s)
- Zhenwei Wang
- Department of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China
| | - Yihai Liu
- Department of Cardiology, Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Jing Xie
- College of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing 210000, China
| | - Nai-Feng Liu
- Department of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China.
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Lin L, Wang A, He Y, Wang W, Gao Z, Tang X, Yan L, Wan Q, Luo Z, Qin G, Chen L, Mu Y, Dou J. Effects of the hemoglobin glycation index on hyperglycemia diagnosis: Results from the REACTION study. Diabetes Res Clin Pract 2021; 180:109039. [PMID: 34481909 DOI: 10.1016/j.diabres.2021.109039] [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: 05/24/2021] [Revised: 08/26/2021] [Accepted: 08/31/2021] [Indexed: 10/20/2022]
Abstract
AIMS This study aimed to assess the effects of the hemoglobin glycation index (HGI) on hyperglycemia diagnosis and summarize the general characteristics of patients with a high-HGI phenotype. METHODS The fasting plasma glucose and glycated hemoglobin (HbA1c) levels of participants (n = 47,648) were used to estimate a linear regression equation and determine the baseline HGI. Overall, 42,317 participants without a history of diabetes were included in the final analysis. The participants were divided into three groups according to the tertiles (low, moderate, and high) of baseline HGI. Proportions and variables were compared among the three HGI groups. A multivariate ordered logistic regression model was used to explore associations between related variables and the high-HGI phenotype. RESULTS Regression analysis indicated that the high-HGI phenotype was positively associated with female sex, advanced age, obesity, increased low-density lipoprotein and triglyceride levels, decreased high-density lipoprotein cholesterol, and postprandial glycemic excursion levels (all P < 0.05). The prevalence of hyperglycemia increased from the low- to the high-HGI groups when using HbA1c for diagnosis. CONCLUSIONS Individuals with high HGI have similar clinical characteristics. Measuring HbA1c alone for diagnosis could lead to inappropriate diabetes management decisions in people with low or high HGI.
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Affiliation(s)
- Lu Lin
- Medical School of Chinese PLA, Beijing 100853, China; Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Anping Wang
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Yan He
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing 100069, China; Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China
| | - Weiqing Wang
- National Clinical Research Center for Metabolic Diseases, State Key Laboratory of Medical Genomics, Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai Institute for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China
| | - Zhengnan Gao
- Dalian Central Hospital, Dalian 116083, Liaoning, China
| | - Xulei Tang
- First Hospital of Lanzhou University, Lanzhou 730099, Gansu, China
| | - Li Yan
- Zhongshan University Sun Yat-sen Memorial Hospital, Guangzhou 510120, Guangdong, China
| | - Qin Wan
- Southwest Medical University Affiliated Hospital, Luzhou 646099, Sichuan, China
| | - Zuojie Luo
- First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi, China
| | - Guijun Qin
- First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, Henan, China
| | - Lulu Chen
- Wuhan Union Hospital, Huazhong University of Science and Technology, Wuhan 430022, Hubei, China
| | - Yiming Mu
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Jingtao Dou
- Medical School of Chinese PLA, Beijing 100853, China; Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China.
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Li Z, Wang F, Jia Y, Guo F, Chen S. The Relationship Between Hemoglobin Glycation Variation Index and Vitamin D in Type 2 Diabetes Mellitus. Diabetes Metab Syndr Obes 2021; 14:1937-1948. [PMID: 33958883 PMCID: PMC8096423 DOI: 10.2147/dmso.s310672] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Accepted: 04/07/2021] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVE This study aimed to investigate the relationship between hemoglobin glycation variation index (HGI) and vitamin D in patients with type 2 diabetes mellitus (T2DM). MATERIALS AND METHODS This is a cross-sectional study that recruited 347 patients with T2DM. The subjects were divided into no vitamin D deficiency group (25(OH)D ≥20 ng/mL) and vitamin D deficiency group (25(OH)D < 20 ng/mL). HGI was calculated as the difference between the measured and predicted values of HbA1c using the linear relationship between HbA1c level and fasting plasma glucose levels. All study participants were divided into high HGI and low HGI groups using the median of HGI as the boundary. At last, the subjects were divided into male group and female group, and these groups were further subdivided into vitamin D deficiency group and no vitamin D deficiency group. RESULTS The levels of HGI were significantly higher in the vitamin D deficiency group compared with the no vitamin D deficiency group for all patients. The same was true for female patients but not for male patients. The prevalence of vitamin D deficiency in the high HGI group was higher than that in the low HGI group. The high HGI group had lower vitamin D levels compared to the low HGI group. Compared to the male group, the female group had lower vitamin D levels but higher HGI levels. A negative correlation existed between 25(OH) D and HGI in all subjects, as well as in the female-only subgroups. In the male-only subgroups, there was no correlation between them, and this positive correlation still existed after adjusting for other factors in multilinear regression analysis. CONCLUSION Our study showed for the first time that HGI is inversely associated with vitamin D in all patients with T2DM, and the correlation was also found in female patients, but not in male patients.
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Affiliation(s)
- Zelin Li
- Graduate School of Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, Hebei, People’s Republic of China
| | - Fei Wang
- Graduate School of Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, Hebei, People’s Republic of China
| | - Yujiao Jia
- Graduate School of Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, Hebei, People’s Republic of China
| | - Feiyue Guo
- Graduate School of Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China
- Department of Glandular Surgery, Hebei General Hospital, Shijiazhuang, Hebei, People’s Republic of China
| | - Shuchun Chen
- Graduate School of Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, Hebei, People’s Republic of China
- Hebei Key Laboratory of Metabolic Diseases, Hebei, People's Republic of China
- Correspondence: Shuchun Chen Department of Endocrinology, Hebei General Hospital, 348 Heping West Road, Shijiazhuang, Hebei, 050051, People’s Republic of ChinaTel +86 31185988406Fax +86 31185988406 Email
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Li Z, Gao Y, Jia Y, Chen S. Correlation Between Hemoglobin Glycosylation Index and Nerve Conduction Velocity in Patients with Type 2 Diabetes Mellitus. Diabetes Metab Syndr Obes 2021; 14:4757-4765. [PMID: 34887673 PMCID: PMC8653709 DOI: 10.2147/dmso.s334767] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 10/13/2021] [Indexed: 12/17/2022] Open
Abstract
OBJECTIVE This study aimed to investigate the relationship between hemoglobin glycation variation index (HGI) and peripheral nerve conduction velocity (NCV) in patients with type 2 diabetes mellitus (T2DM). MATERIALS AND METHODS This is a cross-sectional study, including 324 patients with T2DM were included in this study. Basic information and blood indicators were collected. The motor conduction velocities (MCV) of the bilateral ulnar nerve, median nerve, and common peroneal nerve, and the sensory conduction velocities (SCV) of the ulnar nerve, median nerve, and superficial peroneal nerve were measured. The patients were divided into two groups according to the NCV: normal nerve conduction group (NCVN group) and abnormal nerve conduction group (NCVA group). When the NCV is less than the specific normal value, the patients were divided into the NCVA group. HGI was calculated as the difference between the measured and predicted values of glycosylated hemoglobin (HbA1c) using the linear relationship between HbA1c level and fasting plasma glucose levels. At last, all study participants were divided into High HGI and Low HGI groups using the median of HGI as the boundary. The study also analyzed the correlation between HGI and NCV. RESULTS Compared to the NCVN group, the HGI levels of the NCVA group were higher (P < 0.001). The prevalence of NCVA in the high HGI group was higher than that in the low HGI group (P = 0.004). HGI was negatively correlated with bilateral ulnar nerve MCV, bilateral median nerve MCV, bilateral common peroneal nerve MCV, bilateral median nerve SCV and left superficial peroneal nerve SCV, and the correlation still existed after adjusting for confounding factors. CONCLUSION This study found that HGI is inversely associated with NCV in patients with T2DM, and this correlation is higher between HGI and MCV of peripheral nerve.
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Affiliation(s)
- Zelin Li
- Graduate School of Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, Hebei, People’s Republic of China
| | - Yuan Gao
- Shijiazhuang 16th Retired Cadre Rest Center of Hebei Military Region, Shijiazhuang, Hebei, People’s Republic of China
| | - Yujiao Jia
- Graduate School of Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, Hebei, People’s Republic of China
| | - Shuchun Chen
- Graduate School of Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, Hebei, People’s Republic of China
- Hebei Key Laboratory of Metabolic Diseases, Shijiazhuang, Hebei, People’s Republic of China
- Correspondence: Shuchun Chen Department of Endocrinology, Hebei General Hospital, 348 Heping West Road, Shijiazhuang, Hebei, 050051, People’s Republic of ChinaTel/Fax +86 311 85988406 Email
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