7 research outputs found

    Apolipoprotein E genetic variation and statin therapy appointment

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    Dyslipidemia is an important risk factor for cardiovascular disease due to the significant influence of cholesterol on atherosclerosis. Several genetic variants in genes related with triglyceride (TG) metabolism has been described, including LPL, apolipoprotein A5 and apolipoprotein E (Apo E) are associated with dyslipidemia by involvement to lipid metabolism. The combined analysis of these polymorphisms could produce clinically meaningful complementary information. Changes in TG levels are now considered an independent cardiovascular risk factor; hence, the study of combined variants in genes involved in TG metabolism may help explain part of the risk for CVD. The most informative polymorphisms within the Apo E gene are the Arg158Cys (rs7412) and Cys112Arg (rs429358) which define Apo E gene alleles, epsilon2, 3 and 4 (£2, £3 and £4)

    Traditional Risk Factors of Acute Coronary Syndrome in Four Different Male Populations – Total Cholesterol Value Does Not Seem To Be Relevant Risk Factor

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    Cardiovascular diseases are the most common cause of mortality and morbidity in most populations. As the traditional modifiable risk factors (smoking, hypertension, dyslipidemia, diabetes mellitus, and obesity) were defined decades ago, we decided to analyze recent data in patients who survived acute coronary syndrome (ACS). The Czech part of the study included data from 999 males, and compared them with the post-MONICA study(1,259 males, representing general population). The Lithuanianstudy included 479 male patients and 456 age-matched controls. The Kazakhstan part included 232 patients and 413 controls.In two countries, the most robust ACS risk factor was smoking (OR 3.85 in the Czech study and 5.76 in the Lithuanian study), followed by diabetes (OR 2.26 and 2.07) and hypertension (moderate risk elevation with OR 1.43 and 1.49). These factors did not influence the ACS risk in Kazakhstan. BMI had no significant effect on ACS and plasma cholesterol was surprisingly significantly lower (P<0.001) in patients than in controls in all countries (4.80±1.11 vs. 5.76±1.06 mmol/l in Czechs; 5.32±1.32 vs. 5.71±1.08 mmol/l in Lithuanians; 4.88±1.05 vs. 5.38±1.13 mmol/l in Kazakhs/Russians). Results from our study indicate substantial heterogeneity regarding major CVD risk factors in different populations with the exception of plasma total cholesterol which was inversely associated with ACS risk in all involved groups. These data reflect ethnical and geographical differences as well as changing pattern of cardiovascular risk profiles

    Prevalence, awareness, treatment and control of arterial hypertension in Astana, Kazakhstan. A cross-sectional study

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    Abstract ObjectiveVery little is known about prevalence of common cardiovascular risk factors in Central Asia. The aim of the study was to assess the prevalence, awareness, treatment and control of arterial hypertension, and factors associated with these indices in a population sample of Astana, the new capital city of Kazakhstan. DesignCross-sectional study of subjects registered in eight outpatient policlinics in Astana. MethodsA total of 497 adults (response rate 56%) aged 50–75 years randomly selected from registers of the policlinics were examined. Hypertension was defined as a mean systolic and/or diastolic blood pressure of ≥140/90 mm Hg and/or antihypertensive medication use during the last two weeks. Awareness and treatment were based on self-report. Hypertension control was defined as blood pressure <140/90 mm Hg among hypertensive subjects. ResultsThe overall prevalence of hypertension was 70%. Among hypertensive subjects, 91% were aware of their condition, 77% took antihypertensive medications, and 34% had blood pressure controlled (<140/90 mm Hg). The prevalence of hypertension and its awareness, treatment and control was more common in women, among persons aged 60 years or more and (except control) among those with high body mass index. None of several available socio-economic or lifestyle measures was associated with any of hypertension indices. ConclusionsThe levels of awareness, treatment and control of hypertension were higher than in most Eastern European and Central Asian populations with available data, most likely reflecting high education and large proportion of civil servants in the new capital city. However, even in this privileged population the rates of successful control of hypertension were modest

    Traditional Risk Factors of Acute Coronary Syndrome in Four Different Male Populations – Total Cholesterol Value Does Not Seem To Be Relevant Risk Factor

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    Cardiovascular diseases are the most common cause of mortality and morbidity in most populations. As the traditional modifiable risk factors (smoking, hypertension, dyslipidemia, diabetes mellitus, and obesity) were defined decades ago, we decided to analyze recent data in patients who survived acute coronary syndrome (ACS). The Czech part of the study included data from 999 males, and compared them with the post-MONICA study(1,259 males, representing general population). The Lithuanianstudy included 479 male patients and 456 age-matched controls. The Kazakhstan part included 232 patients and 413 controls.In two countries, the most robust ACS risk factor was smoking (OR 3.85 in the Czech study and 5.76 in the Lithuanian study), followed by diabetes (OR 2.26 and 2.07) and hypertension (moderate risk elevation with OR 1.43 and 1.49). These factors did not influence the ACS risk in Kazakhstan. BMI had no significant effect on ACS and plasma cholesterol was surprisingly significantly lower (P<0.001) in patients than in controls in all countries (4.80±1.11 vs. 5.76±1.06 mmol/l in Czechs; 5.32±1.32 vs. 5.71±1.08 mmol/l in Lithuanians; 4.88±1.05 vs. 5.38±1.13 mmol/l in Kazakhs/Russians). Results from our study indicate substantial heterogeneity regarding major CVD risk factors in different populations with the exception of plasma total cholesterol which was inversely associated with ACS risk in all involved groups. These data reflect ethnical and geographical differences as well as changing pattern of cardiovascular risk profiles
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