PubMed · 3596105
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M J Bass. Even narrower vision.. https://pubmed.ncbi.nlm.nih.gov/3596105/
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The optimum management of dyslipidaemia requires a comprehensive, diagnostic work-up. This, minimally, includes: Characterisation of any hyperlipidaemic disorder present. Identification of additional risk factors so as to assess overall (global) risk of future coronary heart disease (CHD). The global risk is best assessed by a calculation combining the risk factors in the individual. In severe monogenic dyslipidaemias and in patients with confirmed pre-existing CHD the risk is usually high; in most such cases the use of lipid-modifying drugs (LMDs) is indicated. Assessment of psychosocial, economic and educational factors relevant to management. Prevention and cost-effective management of even moderately dyslipidaemic patients require appropriate modification of lifestyle: avoidance of tobacco smoking, participation in regular exercise, and a health-promoting diet. Depending on individual circumstance, vigorous, personalised intervention and expert assistance from dieticians, biokineticists and other health care personnel may determine success. The correct choice of patient for drug treatment is a key therapeutic decision and is best done after full lifestyle modification. Recent evidence confirms that appropriately prescribed LMD therapy can lower morbidity and mortality from CHD as well as all-cause mortality. Patients with the following features are candidates for LMD therapy: have clinical CHD and a low-density lipoprotein cholesterol (LDLC) level > 3.0 mmol/l despite optimum non-pharmacological intervention, or suffer from familial hypercholesterolaemia (FH) or equivalent severe, monogenic disorder, or have a 10-year risk of an acute clinical coronary event of > 20% (or > 30% risk if extrapolated to the age of 60 years) owing to the presence of the hyperlipidaemia alone or in combination with contributory risk factors. The ideal target LDLC concentration is < or = 3 mmol/l, but a reduction of at least 45% should be regarded as a minimum target in severe cases who do not reach this goal. Successful therapy requires on-going attention to compliance, therapeutic response and side-effects, and may necessitate adjustment or reinforcement. Concurrent or contributory conditions, such as smoking, hypertension and diabetes mellitus, must also be treated along with the clinically manifest CHD. Severely hyperlipidaemic, complicated or unresponsive high-risk cases should be referred to an appropriate specialist or lipid clinic. Prevention of CHD in the community should be encouraged through public and professional education, the provision of community facilities for exercise and recreation, and legislation directed at reducing the use of tobacco products and ensuring the appropriate labelling of food products.
Multivariate random length data occur when we observe multiple measurements of a quantitative variable and the variable number of these measurements is also an observed outcome for each experimental unit. For example, for a patient with coronary artery disease, we may observe a number of lesions in that patient's coronary arteries, along with percentage of blockage of each lesion. Barnhart and Sampson first proposed the multiple population model to analyse multivariate random length data without covariates. This paper extends their approach to deal with multiple covariates. We propose a new multiple population regression model with covariates, and discuss the estimation issues. We analyse data from the TYPE II coronary intervention study to illustrate the methodology.
Recent studies show that cholesterol-lowering therapy can reduce morbidity and mortality in hypercholesterolemic patients without preexisting coronary heart disease (primary prevention) and with coronary heart disease (secondary prevention). The high cost of treatment per event prevented, especially for primary prevention, raises concerns about widespread use of cholesterol-lowering therapy. Does cholesterol reduction reduce utilization of healthcare resources, and can society afford to pay for reducing cholesterol in all patients with hypercholesterolemia, irrespective of risk factors? Is cost-effectiveness of therapy affected by differing cholesterol levels, age of the patients, the duration of therapy, or the presence of risk factors? Current pharmacoeconomic studies support the use of the statins for secondary prevention, and primary prevention in high-risk patients, and provide key information for policy decision making in the treatment of patients with hypercholesterolemia.