Trends in cardiovascular risk factor prevalence among Lithuanian middle-aged adults between 2009 and 2018.

BACKGROUND AND AIMS: The aim of the study was to estimate trends and differences in cardiovascular disease (CVD) risk factor prevalence among middle-aged men and women based on the data from the Lithuanian High Cardiovascular Risk (LitHiR) primary prevention program between 2009 and 2018. METHODS: A community-based cross-sectional study included men aged 40-54 years and women aged 50-64 years without overt CVD. Nationally representative data comprised 110,370 Lithuanian adults (42.4% men and 57.6% women) examined in the period 2009-2018. Prevalences of major CVD risk factors, such as dyslipidaemia, arterial hypertension, diabetes mellitus, obesity, metabolic syndrome and smoking, were assessed. RESULTS: The study showed a significant drop in the prevalence of dyslipidaemia and TC levels among men (p = 0.030 and p < 0.001) and no significant change among women (p = 0.594 and p = 0.799). The prevalence of AH significantly decreased in both gender groups (p < 0.001 in women and p < 0.001 in men). Obesity rates declined among women while it remained constant among men (p < 0.001 and p = 0.100 respectively). There was a significant decline among women and a significant increase among men in the prevalence of metabolic syndrome (p < 0.001 and p = 0.016 respectively). The prevalence of diabetes increased until 2013, after which it started decreasing in the whole group (p = 0.005). The study showed a significant increase in the percentage of smoking women (p < 0.001), although the number of smoking men remained much higher (about 40%) (p < 0.001). CONCLUSIONS: In our observational study, we have documented a high prevalence of all CVD risk factors in 2009 with a slight decrease during the period in most prevalence rates, except in dyslipidaemia and smoking levels.

Is the coronary artery calcium score the first-line tool for investigating patients with severe hypercholesterolemia?

BACKGROUND: Coronary artery calcium (CAC) is known as a reliable tool for estimating risk of myocardial infarction, coronary death, all-cause mortality and is even used to evaluate suitable asymptomatic patients. We therefore aimed to evaluate whether CAC scoring can be applied in the algorithm for clinical examination of patients with severe hypercholesterolemia (SH). METHODS: During the period of 2016-2017 a total of 213 asymptomatic adults, underwent computed tomography angiography to evaluate their CAC scoring. The sample consisted of 110 patients with SH and 103 age and sex matched controls without dyslipidemia and established cardiovascular disease. RESULTS: In total there were 79 (37.2%) subjects with elevated (≥25th) CAC percentiles. Out of them 47 (59.5%) had SH and 32 (40.5%) did not. CAC score did not differ between groups (SH (+) 140.30 ± 185.72 vs SH (-) 87.84 ± 140.65, p = 0.146), however there was a comparable difference in how the participants of these groups distributed among different percentile groups (p = 0.044). Gender, blood pressure, tabaco use, physical activity, family history of coronary artery disease and diabetes mellitus were not associated with CAC score (p > 0.05). There were no significant correlations between biochemical parameters and CAC percentiles except for increase in lipoprotein(a) (p = 0.038). Achilles tendon pathology, visceral obesity, body mass index and increased waist-hip ratio were not associated with CAC percentiles either (p > 0.05). CONCLUSIONS: CAC score is not associated with presence of SH. CAC score is not an appropriate diagnostic tool in the algorithm for clinical examination of patients with SH. Further larger studies are needed to support our findings.

Lipid profile evaluation and severe hypercholesterolaemia screening in the middle-aged population according to nationwide primary prevention programme in Lithuania.

BACKGROUND AND AIMS: Cardiovascular disease (CVD) is a major cause of premature death in Lithuania where abnormal lipid levels are very common among middle-aged adults. The aim of this study was to evaluate lipid profile in middle-aged Lithuanians and perform population-based severe hypercholesterolaemia (SH) screening. METHODS: This study included men aged 40-54 and women aged 50-64 years without overt CVD, participating in the Lithuanian High Cardiovascular Risk (LitHiR) primary prevention programme during the period 2009-2016. Lipidograms of 92,373 adults (58.4% women and 41.6% men) included in the database were analysed and screening for SH was performed. RESULTS: The mean levels of total cholesterol, LDL cholesterol (LDL-C) and triglycerides (TG) among participants were 6.08 mmol/l, 3.87 mmol/l, and 1.59 mmol/l, respectively. Any type of dyslipidaemia was present in 89.7%, and severe dyslipidaemia in 13.4% of the study population. 80.2% of adults without overt CVD had LDL-C ≥3 mmol/l. SH (LDL-C ≥6 mmol/l) was detected in 3.2% of study participants. Prevalence of SH decreased from 2.91% to 2.82% during the period 2009-2016 (p for trend = 0.003). LDL-C ≥6.5 mmol/l was observed in 1.5% of subjects while both LDL-C ≥6.5 mmol/l, and TG ≤ 1.7 mmol/l was found in 0.6% of subjects. CONCLUSIONS: SH was present in 3.2% of the middle-aged population without overt CVD. Slightly decreasing prevalence of SH was observed during the period 2009-2016 in Lithuania. Likely phenotypic familial hypercholesterolaemia was observed in 1.5% of middle-aged Lithuanians. Further clinical and genetic evaluation of people with SH is needed to detect familial forms of SH.

Establishing a national screening programme for familial hypercholesterolaemia in Lithuania.

BACKGROUND AND AIMS: Familial hypercholesterolaemia (FH) is a widely underdiagnosed genetic disorder characterized by severely elevated levels of serum cholesterol and associated with premature mortality. Screening programmes and registries have been established worldwide to find and monitor patients with FH. The aim of this paper was to describe the approaches currently applied to identify patients with possible FH in Lithuania. METHODS: An electronic extraction tool was applied to the medical records of 92,373 subjects evaluated in primary care settings from 2009 to 2016, 1714 secondary prevention patients with early onset (<50 years) coronary heart disease (CHD) treated in tertiary care hospital from 2005 to 2016 and high-risk subjects in specialized cardiovascular prevention units. The electronic databases were screened for likely FH phenotype, which was described simply as LDL-C ≥6.5 mmol/l. RESULTS: Likely FH phenotype was observed in 1385 (1.5%) middle-aged Lithuanians, 290 (16.9%) people with premature CHD and 330 adults from high-risk subjects referred to specialized cardiovascular prevention units. A total of 2005 patients with likely phenotypic FH were included in the Lithuanian FH screening programme, covering about 15% of estimated FH cases in Lithuania. CONCLUSIONS: Screening for extremely elevated LDL-C levels in primary prevention database and additional enrolment of patients with premature CVD as well as high-risk subjects may be a valid way to set up a national FH screening programme. It is crucially important to identify and initiate the treatment of FH patients as early as possible to reduce high cardiovascular mortality in these patients.

Cardiovascular risk assessment of dyslipidemic middle-aged adults without overt cardiovascular disease over the period of 2009-2016 in Lithuania.

BACKGROUND: Cardiovascular mortality in Lithuania is extremely high and abnormal lipid levels are very common among Lithuanian adults. Dyslipidemia is one of the main independent risk factors for cardiovascular diseases (CVD) leading to high absolute CVD risk. The aim of this study was to assess CVD risk in dyslipidemic middle-aged subjects. METHODS: During the period of 2009-2016 a total of 92,373 people (58.4% women and 41.6% men) were evaluated. This study included men aged 40-54 and women aged 50-64 without overt CVD. RESULTS: Any type of dyslipidemia was present in 89.7% of all study population. 7.5% of dyslipidemic patients did not have any other conventional risk factors. Three and more risk factors were detected in 60.1% of dyslipidemic subjects. All analyzed risk factors, except smoking, were more common in dyslipidemic adults compared to subjects without dyslipidemia: arterial hypertension (55.8% vs. 43.3%, p < 0.001), diabetes (11.1% vs. 7.3%, p < 0.001), abdominal obesity (45.3% vs. 30.2%, p < 0.001), BMI ≥30 kg/m2 (35.8% vs. 23.7%, p < 0.001), metabolic syndrome (34.0% vs. 9.2%, p < 0.001), family history of coronary heart disease (26.3% vs. 23.1%, p < 0.001), unbalanced diet (62.5% vs. 52.9%, p < 0.001) and insufficient physical activity (52.0% vs. 44.2%, p < 0.001). The prevalence of all evaluated risk factors, except smoking, increased with age. Average SCORE index was 1.87 in all study population, while dyslipidemic subjects had higher SCORE compared to control group (1.95 vs 1.20, p < 0.001). CONCLUSIONS: Almost two thirds of dyslipidemic middle-aged Lithuanian adults without overt cardiovascular disease had three or more other CVD risk factors, which synergistically increase absolute risk of CVD. The average 10-year risk of CVD death in patients with dyslipidemia was 1.95%. The importance of managing dyslipidemia as well as other risk factors in order to reduce burden of cardiovascular disease in Lithuania is evident.

Cardiovascular risk profile of patients with atherogenic dyslipidemia in middle age Lithuanian population.

BACKGROUND: Atherogenic dyslipidemia (AD) is a blood serum lipid profile abnormality characterized by elevation of triglycerides and reduced levels of high density lipoprotein cholesterol (HDL-C). It is associated with residual cardiovascular risk. This study evaluated and compared the risk profiles of patients with hypertriglyceridemia, low-HDL-C levels or AD, in order to understand, which lipid profile is associated with greater risk. METHODS: During the period of 2009-2016 a population of 92,373 Lithuanian adults (men 40-54 years old and women 50-64 years old) without overt cardiovascular disease were analyzed. Data of 25,746 patients (68.6% women and 31.4% men) with hypertriglyceridemia and/or low HDL-C low levels were collected and used for further statistical analysis. RESULTS: Participants with AD tend to have more unfavorable risk profile than participants with hypertriglyceridemia or low-HDL-C. AD tends to cluster with other atherogenic risk factors, such as arterial hypertension [odds ratio (OR) 1.96, 95% confidence intervals (CI) 1.87-2.01], smoking [OR 1.20, 95% CI 1.14-1.27], diabetes mellitus [OR 2.74, 95% CI 2.58-2.90], obesity [OR 2.92, 95% CI 2.78-3.10], metabolic syndrome [OR 22.27, 95% CI 20.69-23.97], unbalanced diet [OR 1,59, 95% CI 1.51-1.68], low physical activity [OR 1.80, 95% CI 1.71-1,89], CHD history in first degree relatives [OR 1.18, 95% CI 1.12-1.25] and total number of risk factors [OR 1.47, 95% CI 1.38-1.57]. CONCLUSION: AD is associated with more unfavorable cardiovascular risk profile than hypertriglyceridemia or low-HDL cholesterol levels. Once identified AD should require additional medical attention since it is an important factor of residual cardiovascular risk.

Severe dyslipidemia and concomitant risk factors in the middle-aged Lithuanian adults: a cross-sectional cohort study.

BACKGROUND: Dyslipidemia is highly prevalent and is one of the major risk factors for cardiovascular disease in Lithuania. The purpose of this study was to determine the prevalence of severe dyslipidemia in Lithuanian middle aged primary prevention population and to investigate cardiovascular risk profile. METHODS: The group of 83,376 people were examined in the Lithuanian High Cardiovascular Risk primary prevention program (LitHiR), during 2009-2015 years. This study recruited middle aged men and women without overt cardiovascular disease. The prevalence of cardiovascular risk factors was compared between severe dyslipidemia group and control group. RESULTS: Severe dyslipidemia was present in 13.5% (11265) of the subjects; 66.6% (7508) were females. The subjects with severe dyslipidemia had significantly higher rates of arterial hypertension (63.5% vs. 44.2%, p < 0.001), diabetes mellitus (16% vs. 8.1%, p < 0,001), abdominal obesity (51% vs. 30.3%, p < 0.001), body mass index (BMI) > 30 (kg/m2) (38.8% vs. 24.1%, p < 0.001), metabolic syndrome (47.2% vs. 9.2%, p < 0.001), unbalanced diet (66.5% vs. 53.5%, p < 0.001), insufficient physical activity (56% vs. 44.2%, p < 0.001), family history of cardiovascular disease (29.7% vs. 22.7%, p < 0.001) in comparison with control group. Subjects without dyslipidemia had significantly higher rates of smoking (26.4% vs. 22.7%, p < 0.001). The prevalence of familial hypercholesterolemia was 0.1%, very high hypertriglyceridemia - 0.2% and familial mixed dyslipidemia - 0.1% of the subjects examined in the LitHiR programme. CONCLUSIONS: High prevalence of dyslipidemia remains a major problem in Lithuania. 9 out of 10 people have dyslipidemia, 1 out of 10 - severe dyslipidemia. Severe dyslipidemia is associated with higher frequency of other cardiovascular risk factors.