Glycemic markers and relation with arterial stiffness in Caucasian subjects of the MARK study

[EN]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

Improving interMediAte Risk management. MARK study

<p>Abstract</p> <p>Background</p> <p>Cardiovascular risk functions fail to identify more than 50% of patients who develop cardiovascular disease. This is especially evident in the intermediate-risk patients in which clinical management becomes difficult. Our purpose is to analyze if ankle-brachial index (ABI), measures of arterial stiffness, postprandial glucose, glycosylated hemoglobin, self-measured blood pressure and presence of comorbidity are independently associated to incidence of vascular events and whether they can improve the predictive capacity of current risk equations in the intermediate-risk population.</p> <p>Methods/Design</p> <p>This project involves 3 groups belonging to REDIAPP (RETICS RD06/0018) from 3 Spanish regions. We will recruit a multicenter cohort of 2688 patients at intermediate risk (coronary risk between 5 and 15% or vascular death risk between 3-5% over 10 years) and no history of atherosclerotic disease, selected at random. We will record socio-demographic data, information on diet, physical activity, comorbidity and intermittent claudication. We will measure ABI, pulse wave velocity and cardio ankle vascular index at rest and after a light intensity exercise. Blood pressure and anthropometric data will be also recorded. We will also quantify lipids, glucose and glycosylated hemoglobin in a fasting blood sample and postprandial capillary glucose. Eighteen months after the recruitment, patients will be followed up to determine the incidence of vascular events (later follow-ups are planned at 5 and 10 years). We will analyze whether the new proposed risk factors contribute to improve the risk functions based on classic risk factors.</p> <p>Discussion</p> <p>Primary prevention of cardiovascular diseases is a priority in public health policy of developed and developing countries. The fundamental strategy consists in identifying people in a high risk situation in which preventive measures are effective and efficient. Improvement of these predictions in our country will have an immediate, clinical and welfare impact and a short term public health effect.</p> <p>Trial Registration</p> <p>Clinical Trials.gov Identifier: <a href="http://www.clinicaltrials.gov/ct2/show/NCT01428934">NCT01428934</a></p

Glycemic markers and relation with arterial stiffness in Caucasian subjects of the MARK study

<div><p>Background</p><p>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.</p><p>Methods</p><p>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 <i>VaSera VS-1500</i>^® device <i>(Fukuda Denshi</i>), and baPWV was calculated using a validated equation.</p><p>Results</p><p>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.</p><p>Conclusion</p><p>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.</p><p>Trial registration</p><p>Clinical Trials.gov Identifier: <a href="https://clinicaltrials.gov/ct2/show/NCT01428934" target="_blank">NCT01428934</a>. Registered 2 September 2011. Retrospectively registered. Last updated September 8, 2016.</p></div

Glycemic markers and relation with arterial stiffness in Caucasian subjects of the MARK study

Biomarkers; Blood Glucose; Arterial stiffnessBiomarcadors; Glucosa sanguínia; Rigidesa arterialBiomarcadores; Glucosa en sangre; Rigidez arterialBACKGROUND: 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, 201

Multiple regression analysis of HbA1c, PG and FPG with CAVI and baPWV by diabetes status.

<p>Multiple regression analysis of HbA1c, PG and FPG with CAVI and baPWV by diabetes status.</p

Flow chart of this MARK substudy.

<p>N, number; CAVI, cardio-ankle vascular index; baPWV, brachial-ankle pulse wave velocity; ABI, ankle-brachial index; HbA1c, glycosylated hemoglobin.</p

Estimated averages and standard deviations of CAVI (a) and baPWV (b) in diabetic subjects, prediabetic subjects and subjects with normal blood glucose.

<p>Adjusted for Age (years). Gender (0 = male and 1 = female). Smoking (0 = Not and 1 = Yes). Body mass index. Mean arterial pressure. Atherogenic index. Alcohol consumption. Antihypertensive drugs (0 = Not and 1 = Yes). Antidiabetic drugs and lipid lowering drugs (0 = Not and 1 = Yes). Differences among groups: analysis of variance and post hoc using the Bonferroni tests. CAVI cardio-ankle vascular index. baPWV brachial-ankle pulse wave velocity.</p

Characteristics of study participants.

<p>Characteristics of study participants.</p

Logistic regression analysis, OR of HbA1c with CAVI (a), of HbA1c with baPWV (b), of PG with CAVI (c), of PG with baPWV (d), of FPG with CAVI (e) and of FPG with baPWV (f).

<p>Adjusted for Age (years). Gender (0 = male and 1 = female). Smoking (0 = Not and 1 = Yes). Body mass index. Mean arterial pressure. Atherogenic index. Alcohol consumption. Antihypertensive drugs (0 = Not and 1 = Yes). Antidiabetic drugs and lipid lowering drugs (0 = Not and 1 = Yes). CAVI cardio-ankle vascular index. baPWV brachial-ankle pulse wave velocity. OR odds ratio. CI confidence interval. HbA1c glycosylated hemoglobin. PG postprandial glucose. FPG fasting plasma glucose.</p