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HYPERLIPIDEMIA. DR L RABANYE. DEFINITION. Major risk factor for atherosclerosis as a result of elevated levels of serum cholesterol Major component of Serum Cholesterol - LDL-C ( Low density level lipoprotein) - HDL-C (High density level lipoprotein)
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HYPERLIPIDEMIA DR L RABANYE
DEFINITION • Major risk factor for atherosclerosis as a result of elevated levels of serum cholesterol • Major component of Serum Cholesterol - LDL-C ( Low density level lipoprotein) - HDL-C (High density level lipoprotein) - TG ( Triglycyrides)
Objective of Treatment Guidelines • Identify patients at cardiovascular risk • In-line with advances in diagnosis • Incorporating newly identified/quantified risk factors • Metabolic syndrome • Diabetes • Treatment guidelines based on evidence pool available at the time of publication • Can be expected to change with the emergence of new evidence • As evidence accumulates that greater LDL-C reductions are associated with greater reductions in CVD risk, guidelines are updated to reflect lowered LDL-C goals • TARGET CHOLESTEROL LEVELS: • LDL-C < 3 mmol/L in asymptomatic patients • LDL-C < 2.5 mmol/L in established CVD and diabetic patients
Burden of Diseases (CV) The three leading causes of disease in 2030 HIV/ AIDS Unipolar depressive disease Ischaemic heart Disease
Prevalence of Chronic Conditions in Registered Schemes • The most prevalent conditions (per 1000 beneficiaries): • Hypertension (86) • Hyperlipidaemia (42) • Asthma (24) • T2DM (19) • CAD (17)
Multiple Risk Factors Cause Cumulative Increase in Risk for CVD
RISK FACTORS • Obesity • Smoking • Diabetes Mellitus • Lack of physical Exercise • Hypertension • Genetics
Types Of Lipid Lowering Drugs • Statins • Fibrates • Niacin • Resins • Selective cholesterol inhibitor
Economic Burden of Cardiovascular Disease in the US Estimated for 2005 Billions of Dollars Heart disease Coronary heart disease Stroke Hypertensive disease Congestive heart failure Total CVD* American Heart Association. Heart Disease and Stroke Statistics—2005 Update.
45% Reductionin CVD 10% Reductionin BP + 10% Reductionin TC = Effect of Long-Term Modest Reductions in CV Risk Factors Effect of Long-Term Modest Reductions in CV Risk Factors Emberson et al. Eur Heart J. 2004;25:484-491.
Heart of Soweto Study Cross-Sectional Study at Chris Hani Baragwanath • Objective: Describe recent ↑ in ACS among urban black South Africans • Epidemiological transition due to urbanization • adoption of Western lifestyle and diet • vs. traditional (cardio-protective) African lifestyle • 1950’s:average of 3 patients/annum identified with AMI • 1975-80:Total of 50 cases – average of 8 patients/annum • 2004: 64patients with ACS in one year alone • Annual incidence of ACS (based on population size) • 1975-80: 0.5 – 1 per 100 000 • 2004: 7 per 100 000
Rule out Secondary Causes • LIFETSYLE FACTORS • DIET: Triglycerides ; HDL-C and LDL-C • SMOKING:HDL-C • ALCOHOL:Triglycerides • UNDERLYING DISEASES • ↑ CHOL:Hypothyroidism, Renal disease, liver disease, DM • ↑ TRIGS:Truncal Obesity, Diabetes, Cushing’s Syndrome • PREGNANCY • ↑ Cholesterol & severe hypertriglyceridaemia in susceptible • MEDICATION • Progestins ; Steroids ; some beta-blockers ; high dose diuretics ; retinoids ; Protease inhibitors
Treatment Rates For Dyslipidemia in US Are High but Few Patients Reach Goals < 50% receive treatment Patients On Lipid-Lowering Treatment Patients with Dyslipidaemia Treated to Goal There is more that can be done to improve quality of care delivered to patients NHANES 1999-2002, Home & Mec., Aged ≥20; Unweighted N = 3,655 - Weighted Sample = 211,125,161 (2004 Census)
1996 2000 Hypertensive 55% 54% On BP Medication 84% 90% % controlled to <140/90mm Hg 44% 45% Hyperlipidemic 86% 59% On statins 19% 58% % controlled to < 5.0 mmol/L 21% 49% CVD Patients in Europe: Fewer than One-Half Reach Goal Very little improvement Some improvement, but still large gap in treatment
And in South Africa? The South African Not at Goal study (SA-NAG): Evaluation of LDL-C goals achieved in patients with established CVD and/or hyperlipidaemia receiving lipid lowering therapy • Pts on therapy > 4mnths • 1201 pts recruited across SA • 41% defined as low risk, 59% defined as high risk • SA guidelines used to define risk and evaluate achievement of goal Conclusion • Majority fell into “not at goal” category • These pts were also far above their LDL-C targets
% Achieving Guideline-specified LDL-C Goals The SA-NAG study. A. Ramjeeth, N. Butkow, F. Raal, M. Maholwana-Mokgatlhe, CVJA, Vol19:2, 88-94
Low Risk vs.. High Risk Patients 0.7 3.7 3.0 1.1 3.6 2.5
High Risk – LDL-C reduction needed (by gender & age group) The SA-NAG study. A. Ramjeeth, N. Butkow, F. Raal, M. Maholwana-Mokgatlhe, CVJA, Vol19:2, 88-94
Key points – SA-NAG Study • Significant treatment gap exists between lipid guidelines and goal attainment in dyslipidaemic patients with or without established CVD • All patient were on lipid-lowering therapy – deficit still exists • Begs the question - how many events could be averted if patients reached treatment goal? • Potential reasons for the study result: • Inadequate titration of doses • Patient long-term compliance • Financial constraints • In the entire study (N= 1201) only 45 pts were using the highest doses of statin therapy (< 4 %)
CVD Treatment Gap - Community Dr Awareness of Treatment Guidelines Patient Treated to Goal Provider awareness does not equal successful implementation
WHAT ARE WE DOING WRONG??? • Not identifying patients for treatment intervention • Identifying patients but not providing treatment • Lifestyle and/or pharmacological intervention? • Identifying patients, initiating treatment, but lost to follow-up • Not achieving treatment goals • inadequate dosage • adherence/compliance issues