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Park YJ. Association between blood glucose levels and arterial stiffness marker: comparing the second derivative of photoplethysmogram and cardio-ankle vascular index scores. Front Endocrinol (Lausanne) 2023; 14:1237282. [PMID: 37810890 PMCID: PMC10552567 DOI: 10.3389/fendo.2023.1237282] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 08/30/2023] [Indexed: 10/10/2023] Open
Abstract
Objective This study aimed to compare the association between fasting plasma glucose (FPG) and glycosylated hemoglobin A1c (HbA1c) levels using the second derivative of photoplethysmogram (SDPTG) index and the cardio-ankle vascular index (CAVI). Methods Electronic medical records of 276 participants (160 men, 116 women) who visited the health promotion center of a university hospital were examined. Age, sex, body mass index (BMI), blood pressure, and lipid profile were considered as risk factors for arterial stiffness, together with the FPG, HbA1c, CAVI, and SDPTG indices. Hierarchical regression models were constructed, and all participants were divided into low-normal, high-normal, prediabetic, and diabetic groups to examine the group-based differences in CAVI and SDPTG indices. Results FPG and HbA1c were independently predictive of increased CAVI, and their predictive powers for CAVI were equivalent (β = 0.214 and 0.200, respectively). Risk factors, including age, BMI, and male sex, were also predictive of CAVI (β= 0.593-0.630, -0.256 - -0.280, and 0.142-0.178, respectively). None of the FPG and HbA1c values were predictive of the SDPTG indices. The CAVI was higher in the diabetes group than in the other three groups according to HbA1c level, while the d/a index of the SDPTG decreased in the prediabetes group and increased in the diabetes group. Conclusions CAVI may not be substituted for SDPTG indices when evaluating arterial stiffness based on the glucose level. Moreover, the progression rate of arterial stiffness may differ between the diabetic and nondiabetic stages.
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Affiliation(s)
- Young-Jae Park
- Department of Biofunctional Medicine & Diagnostics, College of Korean Medicine, Kyung Hee University, Seoul, Republic of Korea
- Department of Diagnosis and Biofunctional Medicine, Kyung Hee University Hospital at Gangdong, Seoul, Republic of Korea
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2
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Han Z, Kang X, Zhang J, Wang J, Liu Y, Liu J, Wu Z, Li X, Zhao X, Guo X, Chen S, Tao L. Glycated Hemoglobin and Risk of Arterial Stiffness in a Chinese Han Population: A Longitudinal Study. Front Endocrinol (Lausanne) 2022; 13:854875. [PMID: 35574013 PMCID: PMC9098962 DOI: 10.3389/fendo.2022.854875] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 03/28/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND AND AIMS Glycated hemoglobin (HbA1c) associates with the risk of arterial stiffness, and such association can be found between fasting blood glucose (FBG), postprandial blood glucose (PBG), triglyceride-glucose index (TyG index), and arterial stiffness. However, the results were inconsistent, longitudinal studies were sparse, and comparison of these glycemic parameters was less conducted. We aimed to explore the longitudinal relationship between HbA1c and arterial stiffness and compare the effect of the parameters. METHODS Data were collected from 2011 to 2019 in Beijing Health Management Cohort (BHMC) study. Cox proportional hazard models were fitted to investigate the association between the parameters and arterial stiffness. A generalized estimation equation (GEE) analysis was conducted to investigate the effect of repeated measurements of glycemic parameters. A receiver operating characteristic (ROC) analysis was performed to compare the predictive value of glycemic parameters for arterial stiffness. RESULTS Among 3,048 subjects, 591 were diagnosed as arterial stiffness during the follow-up. The adjusted hazard ratio (HR) [95% confidence interval (CI)] for arterial stiffness of the highest quartile group of HbA1c was 1.63 (1.22-2.18), which was higher than those of FBG, PBG, and TyG index. The nonlinear association of arterial stiffness with HbA1c and PBG was proved. The robust results of the sensitivity analysis were obtained. CONCLUSIONS HbA1c is an important risk factor of arterial stiffness compared with PBG, FBG, and TyG index, and has a strong predictive ability for arterial stiffness among non-diabetics and the general population.
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Affiliation(s)
- Ze Han
- School of Public Health, Capital Medical University, Beijing, China
- Department of Epidemiology and Health Statistics, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Xiaoping Kang
- Rehabilitation Centre, Beijing Xiaotangshan Hospital, Beijing, China
| | - Jie Zhang
- School of Public Health, Capital Medical University, Beijing, China
- Department of Epidemiology and Health Statistics, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Jinqi Wang
- School of Public Health, Capital Medical University, Beijing, China
- Department of Epidemiology and Health Statistics, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Yue Liu
- School of Public Health, Capital Medical University, Beijing, China
- Department of Epidemiology and Health Statistics, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Jia Liu
- School of Public Health, Capital Medical University, Beijing, China
- Department of Epidemiology and Health Statistics, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Zhiyuan Wu
- School of Public Health, Capital Medical University, Beijing, China
- Department of Public Health, School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia
| | - Xia Li
- Department of Mathematics and Statistics, La Trobe University, Melbourne, VIC, Australia
| | - Xiaoyu Zhao
- School of Public Health, Capital Medical University, Beijing, China
- Department of Epidemiology and Health Statistics, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Xiuhua Guo
- School of Public Health, Capital Medical University, Beijing, China
- Department of Epidemiology and Health Statistics, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Shuo Chen
- Information Department, Beijing Physical Examination Center, Beijing, China
- *Correspondence: Lixin Tao, ; Shuo Chen,
| | - Lixin Tao
- School of Public Health, Capital Medical University, Beijing, China
- Department of Epidemiology and Health Statistics, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
- *Correspondence: Lixin Tao, ; Shuo Chen,
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Mukamal KJ, Siscovick DS, de Boer IH, Ix JH, Kizer JR, Djoussé L, Fitzpatrick AL, Tracy RP, Boyko EJ, Kahn SE, Arnold AM. Metabolic Clusters and Outcomes in Older Adults: The Cardiovascular Health Study. J Am Geriatr Soc 2019; 66:289-296. [PMID: 29431855 DOI: 10.1111/jgs.15205] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND/OBJECTIVES Few studies have the requisite phenotypic information to define metabolic patterns that may inform our understanding of the pathophysiology and consequences of diabetes in older adults. We sought to characterize clusters of older adults on the basis of shared metabolic features. DESIGN Population-based prospective cohort study. SETTING Four U.S. Cardiovascular Health Study field centers. PARTICIPANTS Individuals aged 65 and older taking no glucose-lowering agents (N = 2,231). MEASUREMENTS K-means cluster analysis of 11 metabolic parameters (fasting and postload serum glucose and plasma insulin, fasting C-peptide, body mass index, C-reactive protein (CRP), estimated glomerular filtration rate (eGFR), albuminuria, carboxymethyl lysine (an advanced glycation end-product), procollagen III N-terminal propeptide (a fibrotic marker)) and their associations with incident cardiovascular disease, diabetes, disability, and mortality over 8 to 14.5 years of follow-up and with measures of subclinical cardiovascular disease. RESULTS A 6-cluster solution provided robust differentiation into distinct, identifiable clusters. Cluster A (n = 739) had the lowest glucose and insulin and highest eGFR and the lowest rates of all outcomes. Cluster B (n = 419) had high glucose and insulin and intermediate rates of most outcomes. Cluster C (n = 118) had the highest insulin. Cluster D (n = 129) had the highest glucose with much lower insulin. Cluster E (n = 314) had the lowest eGFR and highest albuminuria. Cluster F (n = 512) had the highest CRP. Rates of CVD, mortality, and subclinical atherosclerosis were highest in clusters C, D, and E and were similar to rates in participants with treated diabetes. Incidence of disability was highest in Cluster C. CONCLUSION Clustering according to metabolic parameters identifies distinct phenotypes that are strongly associated with clinical and functional outcomes, even at advanced age.
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Affiliation(s)
- Kenneth J Mukamal
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - David S Siscovick
- Department of Medicine, University of Washington, Seattle, Washington.,New York Academy of Medicine, New York, New York
| | - Ian H de Boer
- Department of Medicine, University of Washington, Seattle, Washington.,Department of Epidemiology, University of Washington, Seattle, Washington
| | - Joachim H Ix
- Veterans Affairs San Diego Healthcare System, San Diego, California.,School of Medicine, University of California, San Diego, California
| | - Jorge R Kizer
- Department of Medicine, Albert Einstein College of Medicine, New York, New York.,Department of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, New York
| | - Luc Djoussé
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.,Boston Veterans Affairs Healthcare System, Boston, Massachusetts
| | - Annette L Fitzpatrick
- Department of Epidemiology, University of Washington, Seattle, Washington.,Department of Global Health, University of Washington, Seattle, Washington
| | - Russell P Tracy
- Department of Pathology, College of Medicine, University of Vermont, Burlington, Vermont.,Department of Biochemistry, College of Medicine, University of Vermont, Burlington, Vermont
| | - Edward J Boyko
- Department of Medicine, University of Washington, Seattle, Washington.,Department of Epidemiology, University of Washington, Seattle, Washington.,Veterans Affairs Puget Sound Health Care System, Seattle, Washington
| | - Steven E Kahn
- Department of Medicine, University of Washington, Seattle, Washington.,Veterans Affairs Puget Sound Health Care System, Seattle, Washington
| | - Alice M Arnold
- Department of Biostatistics, University of Washington, Seattle, Washington
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Echouffo-Tcheugui JB, Chen H, Kalyani RR, Sims M, Simpson S, Effoe VS, Correa A, Bertoni AG, Golden SH. Glycemic Markers and Subclinical Cardiovascular Disease: The Jackson Heart Study. Circ Cardiovasc Imaging 2019; 12:e008641. [PMID: 30879330 PMCID: PMC10257204 DOI: 10.1161/circimaging.118.008641] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2018] [Accepted: 02/05/2019] [Indexed: 01/03/2023]
Abstract
Background We investigated the associations of glycemic markers (HbA1C [hemoglobin A1C], fasting plasma glucose, and insulin resistance-homeostasis model assessment of insulin resistance) with subclinical cardiovascular disease (CVD) among blacks. Methods We included 4303 community-dwelling blacks (64% women; mean age, 54.5 years) without prevalent CVD. Subclinical CVD was defined as ≥1 of the following: any coronary artery calcification (CAC), elevated carotid intima-media thickness (cIMT), left ventricular (LV) hypertrophy, LV ejection fraction <50%, and peripheral artery disease (ankle-brachial index, <0.90). Estimates of cross-sectional associations of glycemic markers (fasting plasma glucose, HbA1C, and homeostasis model assessment of insulin resistance) with subclinical CVD measures were adjusted for traditional CVD risk factors. Results Each 1% increment in HbA1C was associated with higher odds of CAC, abnormal cIMT, and subclinical CVD (all P <0.001). Adjusted mean values of LV mass (LVM), LVM index, relative wall thickness, CAC, and cIMT were increasingly abnormal with worsening HbA1C categories (all P<0.05). Each 10-mg/dL increase in fasting plasma glucose was associated with higher odds of LV hypertrophy, CAC, abnormal cIMT, and subclinical CVD (all P <0.005). Adjusted mean values of LVM, LVM index, relative wall thickness, CAC, ankle-brachial index, and cIMT were more abnormal across categories of worsening fasting plasma glucose (all P <0.05). Each unit increment in log-transformed homeostasis model assessment of insulin resistance conferred a higher odd of having LV hypertrophy ( P<0.01). Across quartiles of homeostasis model assessment of insulin resistance, we observed progressively abnormal adjusted mean values of LVM, LVM index, relative wall thickness, and ankle-brachial index (all P <0.01). Conclusions Among blacks, glycemic markers were differentially associated with various measures of subclinical CVD.
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Affiliation(s)
- Justin B Echouffo-Tcheugui
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MA (J.B.E.-T., R.R.K., S.H.G.)
| | - Haiying Chen
- Department of Biostatistical Sciences (H.C., S.S.), Wake Forest University School of Medicine, Winston-Salem, NC
| | - Rita R Kalyani
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MA (J.B.E.-T., R.R.K., S.H.G.)
| | - Mario Sims
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson (M.S., A.C.)
| | - Sean Simpson
- Department of Biostatistical Sciences (H.C., S.S.), Wake Forest University School of Medicine, Winston-Salem, NC
| | - Valery S Effoe
- Department of Medicine, Morehouse School of Medicine, Atlanta, GA (V.S.E.)
| | - Adolfo Correa
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson (M.S., A.C.)
| | - Alain G Bertoni
- Department of Epidemiology and Prevention (A.G.B.), Wake Forest University School of Medicine, Winston-Salem, NC
| | - Sherita H Golden
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MA (J.B.E.-T., R.R.K., S.H.G.)
- Welch Prevention Center for Prevention, Epidemiology and Clinical Research, Department of Medicine, Johns Hopkins University, Baltimore, MD (S.H.G.)
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Sumin AN, Bezdenezhnykh NA, Fedorova NV, Bezdenezhnykh AV, Indukaeva EV, Artamonova GV. The
relationship of visceral obesity and cardio-ankle vascular index with impaired glucose metabolism according to the ESSE-RF study in West Siberian region. ACTA ACUST UNITED AC 2018. [DOI: 10.18821/0023-2149-2018-96-2-137-146] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Aim. To study the relationship of cardio-ankle vascular index (CAVI) and the factors of cardiovascular risk (including visceral obesity) with impaired glucose metabolism in a population sampling. Material and methods. Cross-sectional study was performed within the framework of multicentre epidemiological study ESSE-RF from March to October 2013. The study subject was a random population sampling of male and female adult population in the age of 25-64 years old in the Kemerovo region. Standard research protocol ESSE-RF is extended with additional research of peripheral arteries' stiffness at VaSeraVS-1000 apparatus (Fukuda Denshi, Japan) with automatic estimation of cardio-ankle vascular index. A sample of 1619 subjects was formed in several stages, 2 subjects with T1DM were excluded from it. The rest 1617 subjects were divided into three groups: group 1 - subjects with type 2 diabetes mellitus (T2DM) (n = 272), group 2 - subjects with pre-diabetes - impaired fasting glucose, impaired glucose tolerance or a combination of them (n = 44), group 3 - subjects without any confirmed impaired glucose metabolism (n = 1301). Results. This type 2 diabetes was diagnosed in 16.6% patients, pre-diabetes - in 2.7%. When comparing the clinical and medical history and laboratory characteristics to the following trend is noteworthy: patients with diabetes and prediabetes were comparable for most indicators, but significantly different from patients without disorders of carbohydrate metabolism. The prevalence of coronary heart disease, hypertension, obesity, stroke, kidney disease, dyslipidemia was higher among diabetic and pre-diabetic persons. The incidence of pathologic CAVI (> 9.0) was higher among patients with diabetes and prediabetes (15.9% and 16.8%) compared with those with normoglycaemia (9.0%, p < 0.001 for trend). In the total sample CAVI positively correlated with age (r = 0.526, р < 0.001), T2DM (r = 0.128, р < 0.001), pre-diabetes (r = 0.071, р = 0.002), waist circumference (r = 0.125, р < 0.001), visceral obesity (r = 0.097, р < 0.001), but not with BMI (r = 0.042, р = 0.132). According to the result of the regression analysis CAVI values were associated with the presence of diabetes (odds ratio (OR) 1.185 with an increase in the CAVI for each unit, 95% confidence interval (CI) 1.100-1.276; p < 0.001), and pre-diabetes (OR 1.179, 95% CI 1.008-1.380; p = 0.044). Visceral obesity was associated with T2DM (OR 2.893, 95% CI 2.093-3.999, р < 0.001) and pre-diabetes (OR 2.350, 95% CI 1.119-4.935, р < 0.001). Conclusion. Prediabetic and diabetic patients have similar prevalence of cardiovascular risk factors, including increased stiffness of arteries and visceral obesity. In a community sample of West Siberia increase in CAVI was associated with both type 2 diabetes and prediabetes.
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Affiliation(s)
- Alexei N. Sumin
- Research Institute for Complex Issues of Cardiovascular Diseases
| | | | - N. V. Fedorova
- Research Institute for Complex Issues of Cardiovascular Diseases
| | | | - E. V. Indukaeva
- Research Institute for Complex Issues of Cardiovascular Diseases
| | - G. V. Artamonova
- Research Institute for Complex Issues of Cardiovascular Diseases
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6
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Glycemic markers and relation with arterial stiffness in Caucasian subjects of the MARK study. PLoS One 2017; 12:e0175982. [PMID: 28414819 PMCID: PMC5393622 DOI: 10.1371/journal.pone.0175982] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Accepted: 04/03/2017] [Indexed: 12/20/2022] Open
Abstract
Background Effect of prediabetes and normal glucose on arterial stiffness remains controversial. The primary aim of this study was to investigate the relationship of fasting plasma glucose (FPG), postprandial glucose (PG) and glycosylated haemoglobin (HbA1c) with brachial-ankle pulse wave velocity (baPWV) and cardio-ankle vascular index (CAVI) in Caucasian adults. The secondary aim was to analyse this relationship by glycaemic status. Methods Cross-sectional study. Setting: Primary care. Participants: 2,233 subjects, 35–74 years. Measures: FPG (mg/dL) and HbA1c (%) of all subjects were measured using standard automated enzymatic methods. PG (mg/dL) was self-measured at home two hours after meals (breakfast, lunch and dinner) for one day using an Accu-chek ® glucometer. CAVI was measured using a VaSera VS-1500® device (Fukuda Denshi), and baPWV was calculated using a validated equation. Results CAVI and baPWV values were significantly higher in subjects with diabetes mellitus than in glucose normal and prediabetes groups (p<0.001). FPG, PG and HbA1c were positively associated with CAVI and baPWV. The β regression coefficient for: HbA1c was 0.112 (CI 95% 0.068 to 0.155) with CAVI, 0.266 (CI 95% 0.172 to 0.359) with baPWV; for PG was 0.006 (CI 95% 0.004 to 0.009 and for FPG was 0.005 (CI 95% 0.002 to 0.008) with baPWV; and for PG was 0.002 (CI 95% 0.001 to 0.003) and 0.003 (CI 95% 0.002 to 0.004) with CAVI (p<0.01 in all cases). When analysing by hyperglycaemic status, FPG, PG and HbA1c were positively associated with CAVI and baPWV in subjects with type 2 diabetes mellitus. Conclusion FPG, PG and HbA1c show a positive association with CAVI and baPWV, in Caucasian adults with intermediate cardiovascular risk factors. When analysing by hyperglycaemic status, the association is only maintained in subjects with type 2 diabetes mellitus. Trial registration Clinical Trials.gov Identifier: NCT01428934. Registered 2 September 2011. Retrospectively registered. Last updated September 8, 2016.
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7
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Bruno RM, Reesink KD, Ghiadoni L. Advances in the non-invasive assessment of vascular dysfunction in metabolic syndrome and diabetes: Focus on endothelium, carotid mechanics and renal vessels. Nutr Metab Cardiovasc Dis 2017; 27:121-128. [PMID: 27773467 DOI: 10.1016/j.numecd.2016.09.004] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2016] [Revised: 06/28/2016] [Accepted: 09/04/2016] [Indexed: 12/29/2022]
Abstract
AIM The present paper is a selective review on the methodology and clinical significance of techniques to assess specifically endothelial function, carotid mechanics and renal vascular function, particularly in the light of vascular dysfunction in metabolic syndrome and type 2 diabetes. DATA SYNTHESIS Endothelial dysfunction appears to be earlier detectable in the microcirculation of patients with altered glucose metabolism, while it attains significance in the macrocirculation at more advanced disease stages. Smooth muscle cell dysfunction is now increasingly recognized to play a role both in the development of endothelial dysfunction and abnormal arterial distensibility. Furthermore, impaired glucose metabolism affects carotid mechanics through medial calcification, structural changes in extracellular matrix due to advanced glycation and modification of the collagen/elastin material stiffness. The assessment of renal vascular function by dynamic ultrasound or magnetic resonance imaging has recently emerged as an appealing target for identifying subtle vascular alterations responsible for the development of diabetic nephropathy. CONCLUSIONS Vascular dysfunction represents a major mechanism for the development of cardiovascular disease in patients with abnormal glucose metabolism. Hence, the currently available non-invasive techniques to assess early structural and vascular abnormalities merit recommendation in this population, although their predictive value and sensitivity to monitor treatment-induced changes have not yet been established and are still under investigation.
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Affiliation(s)
- R M Bruno
- Department of Clinical and Experimental Medicine, University of Pisa, Italy
| | - K D Reesink
- Department of Biomedical Engineering, CARIM School for Cardiovascular Diseases, Maastricht University, Netherlands; Department of Biomedical Engineering, Cardiovascular Center, Maastricht University Medical Center, Netherlands
| | - L Ghiadoni
- Department of Clinical and Experimental Medicine, University of Pisa, Italy.
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8
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HbA1c is significantly associated with arterial stiffness but not with carotid atherosclerosis in a community-based population without type 2 diabetes: The Dong-gu study. Atherosclerosis 2016; 247:1-6. [PMID: 26854970 DOI: 10.1016/j.atherosclerosis.2016.01.032] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2015] [Revised: 12/15/2015] [Accepted: 01/19/2016] [Indexed: 11/21/2022]
Abstract
OBJECTIVES We examined the associations between HbA1c levels and various atherosclerotic vascular parameters among adults without diabetes from the general population. METHODS A total of 6500 community-dwelling adults, who were free of type 2 diabetes and ≥50 years of age, were included. High-resolution B-mode ultrasound was used to evaluate carotid artery structure, including intima-media thickness (IMT), plaque, and luminal diameter. Brachial-ankle pulse wave velocity (baPWV), which is a useful indicator of systemic arterial stiffness, was determined using an automatic waveform analysis device. RESULTS No significant associations were observed between HbA1c, carotid IMT, plaque, or luminal diameter in a fully adjusted model. However, the odds ratio (95% confidence interval) for high baPWV (defined as the highest quartile) increased by 1.43 (1.19-1.71) per 1% HbA1c increase after adjusting for conventional risk factors in a multivariate logistic regression analysis. In addition, HbA1c was independently associated with baPWV in a multivariate linear regression analysis. CONCLUSIONS High-normal HbA1c level was independently associated with arterial stiffness, but not with carotid atherosclerotic parameters, in the general population without diabetes. Our results suggest that the functional atherosclerotic process may already be accelerated according to HbA1c level, even at a level below the diagnostic threshold for diabetes.
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9
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Noh J, Kim E, Seo H, Kim SG. Independent association between glycated hemoglobin and arterial stiffness in healthy men. J Diabetes Investig 2015; 7:241-6. [PMID: 27042277 PMCID: PMC4773663 DOI: 10.1111/jdi.12389] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2014] [Revised: 04/23/2015] [Accepted: 06/21/2015] [Indexed: 11/01/2022] Open
Abstract
Aims/Introduction Materials and Methods Results Conclusions
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Affiliation(s)
- Jin‐Won Noh
- Department of Healthcare Management and Institute of Global Healthcare Research Eulji University Seongnam Korea
| | - Eun‐Jung Kim
- Department of Economics Korea University Seoul Korea
| | - Hyun‐Ju Seo
- Department of Nursing College of Medicine Chosun University Gwangju Korea
| | - Soo Geun Kim
- Department of Occupational Medicine Kangbuk Samsung Hospital Sungkyunkwan University School of Medicine Seoul Korea
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10
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Mukai N, Ninomiya T, Hata J, Hirakawa Y, Ikeda F, Fukuhara M, Hotta T, Koga M, Nakamura U, Kang D, Kitazono T, Kiyohara Y. Association of hemoglobin A1c and glycated albumin with carotid atherosclerosis in community-dwelling Japanese subjects: the Hisayama Study. Cardiovasc Diabetol 2015; 14:84. [PMID: 26099223 PMCID: PMC4482030 DOI: 10.1186/s12933-015-0247-7] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2015] [Accepted: 06/16/2015] [Indexed: 12/11/2022] Open
Abstract
Background It is not clear which glucose measure is more useful in the assessment of atherosclerosis. We investigated the associations of hemoglobin A1c (HbA1c), glycated albumin (GA), 1,5-anhydroglucitol (1,5-AG), fasting plasma glucose (FPG), and 2-hour postload glucose (PG) with carotid intima-media thickness (IMT) in community-dwelling Japanese subjects. Methods A total of 2702 subjects aged 40–79 years underwent a 75-g oral glucose tolerance test and measurements of HbA1c, GA, 1,5-AG, and carotid IMT by ultrasonography in 2007–2008. Carotid wall thickening was defined as a maximum IMT of >1.0 mm. The crude and multivariable-adjusted linear and logistic regression models were used to analyze cross-sectional associations between levels of glycemic measures and carotid IMT. Results The crude average of the maximum IMT increased significantly with rising quartiles of HbA1c, GA, FPG, and 2-hour PG levels in subjects with and without glucose intolerance (GI), while no clear association was observed for 1,5-AG. After adjustment for other confounding factors, positive trends for HbA1c, GA, and FPG (all p for trend < 0.05), but not 2-hour PG (p = 0.07) remained robust in subjects with GI, but no such associations were found in those without GI. When estimating multivariable-adjusted β values for the associations of 1 SD change in glycemic measures with the maximum IMT in subjects with GI, the magnitude of the influence of HbA1c (β = 0.021), GA (β = 0.024), and FPG (β = 0.024) was larger than that of 2-hour PG (β = 0.014) and 1,5-AG (β = 0.003). The multivariable-adjusted odds ratios for the presence of carotid wall thickening increased significantly with elevating HbA1c, GA, and FPG levels only in subjects with GI (all p for trend < 0.001). Among subjects with GI, the area under the receiver operating characteristic curve significantly increased by adding HbA1c (p = 0.04) or GA (p = 0.04), but not 1,5-AG, FPG, or 2-hour PG, to the model including other cardiovascular risk factors. Conclusions In community-dwelling Japanese subjects with GI, elevated HbA1c, GA, and FPG levels were significantly associated with increased carotid IMT, and HbA1c and GA provided superior discrimination for carotid wall thickening compared to 1,5-AG, FPG, and 2-hour PG, suggesting that HbA1c and GA are useful for assessing carotid atherosclerosis. Electronic supplementary material The online version of this article (doi:10.1186/s12933-015-0247-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Naoko Mukai
- Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan. .,Department of Environmental Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan. .,Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
| | - Toshiharu Ninomiya
- Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan. .,Department of Environmental Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan. .,Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
| | - Jun Hata
- Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan. .,Department of Environmental Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan. .,Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
| | - Yoichiro Hirakawa
- Department of Environmental Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan. .,Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
| | - Fumie Ikeda
- Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan. .,Department of Environmental Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan. .,Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
| | - Masayo Fukuhara
- Department of Environmental Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan. .,Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
| | - Taeko Hotta
- Department of Clinical Chemistry and Laboratory Medicine, Kyushu University Hospital, Fukuoka, Japan.
| | - Masafumi Koga
- Department of Internal Medicine, Kawanishi City Hospital, Hyogo, Japan.
| | - Udai Nakamura
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
| | - Dongchon Kang
- Department of Clinical Chemistry and Laboratory Medicine, Kyushu University Hospital, Fukuoka, Japan.
| | - Takanari Kitazono
- Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan. .,Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
| | - Yutaka Kiyohara
- Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan. .,Department of Environmental Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
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