Signs of subclinical atherosclerosis in asymptomatic patients at increased risk of type 2 diabetes mellitus.

AIMS: We aimed to study carotid intima media thickness (CIMT) in asymptomatic patients with an increased risk of type 2 diabetes mellitus (T2DM) and in a pre-diabetic state. METHODS: Diabetes risk assessment was performed in 2420 participants in a voluntary screening program between 2011 and 2013. The risk of T2DM was estimated by the Findrisc scoring system (FR). A FR≥12 was considered as increased risk. HbA1c% between 5.7 and 6.4% signified a pre-diabetic state. Carotid duplex scan was performed and CIMT above 0.9 mm was regarded as pathological. Patients with T2DM or a history of cardiovascular disease were excluded. RESULTS: Overall 1475 subjects were included. Four groups were compared: "control" (normal HbA1c, FR<12), "HbA1c only" (HbA1c: 5.7-6.4%, FR<12), "Findrisc only" (normal HbA1c, FR≥12) and "combined" (HbA1c: 5.7-6.4%, FR≥12). Frequency of pathological maximal CIMT was 9.4%, 19.7%, 27.4% and 36.4% in the groups, respectively (p<0.001). Logistic regression analysis revealed that compared to control subjects, sex and risk factor-adjusted Odds Ratios for the presence of pathological maximal CIMT were 2.2 (p<0.001), 3.4 (p<0.001) and 5.1 (p<0.001) for the groups, respectively. CONCLUSIONS: Evaluation of Findrisc score and HbA1c at population level may facilitate early recognition of subclinical vascular complications even in the pre-diabetic state.

Detailed heart rate variability analysis in athletes.

OBJECTIVE: Heart rate variability (HRV) analysis has been used to evaluate patients with various cardiovascular diseases. While the vast majority of HRV studies have focused on pathological states, our study focuses on the less explored area of HRV analysis across different training intensity and sports. We aimed to measure HRV in healthy elite and masters athletes and compare to healthy, but non-athletic controls. METHODS: Time-domain HRV analysis was applied in 138 athletes (male 110, age 28.4 ± 8.3) and 100 controls (male 56, age 28.3 ± 6.9) during Holter monitoring (21.3 ± 3.0 h). RESULTS: All studied parameters were higher in elite athletes compared to controls [SDNN (CI) 225.3 (216.2-234.5) vs 158.6 (150.2-167.1) ms; SDNN Index (CI) 99.6 (95.6-103.7) vs 72.4 (68.7-76.2) ms; pNN50 (CI) 24.2 (22.2-26.3) vs 14.4 (12.7-16.3) %; RMSSD (CI) 71.8 (67.6-76.2) vs 50.8 (46.9-54.8) ms; p < 0.001]. Masters had higher HRV values than controls, but no significant differences were found between elite athletes and masters athletes. Some parameters were higher in canoeists-kayakers and bicyclists than runners. Lower cut-off values in elite athletes were SDNN: 147.4 ms, SDNN Index: 66.6 ms, pNN50: 9.7 %, RMSSD: 37.9 ms. INTERPRETATION: Autonomic regulation in elite athletes described with HRV is significantly different than in healthy controls. Sports modality and level of performance, but not age- or sex-influenced HRV. Our study provides athletic normal HRV values. Further investigations are needed to determine its role in risk stratification, optimization of training, or identifying overtraining.

[Cardiovascular screening programme in the Central Hungarian region. The Budakalász Study]. / Cardiovascularis szuroprogram a közép-magyarországi régióban. Budakalász Vizsgálat.

INTRODUCTION: The reduction in mortality due to prevention programmes observed in some European countries is not currently reached in Hungary. Effective prevention is based on the screening of risk factors and health state of the population. AIM: The goal of this study was to develop a longitudinal, population-based screening programme in the Central Hungarian region in order to collect information on the health state and cardiovascular risk profile of the citizens and discover new potential cardiovascular risk factors. METHOD: The Budakalász Study is a self-voluntary programme involving the adult population (>20 yrs, approx. 8000 persons), and it consists of questionnaires, non-invasive tests (anthropometry, cardiac echo, carotid duplex scan, blood pressure measurement, ankle-brachial index), venous blood sample collection and laboratory tests. RESULTS: Until January, 2014, 2420 persons (30% of the population, male: 41.2%, average age 54.8 years) participated in the programme. Cardiovascular morbidity was higher in contrast to a former national survey. The number of risk factors and, therefore, 10-year cardiovascular risk were also elevated in this population. CONCLUSIONS: These findings underline the importance of screening programmes and effective therapies.