Hypercholesterolemia or hypertension are continuous risk factors for coronary heart disease.
When a preventive action is carried out against such a risk factor, it is necessary to specify a risk factor level value, named the treatment threshold, above which a subject should be treated.
But a non-arbitrary determination of this threshold value is impossible from the epidemiological data.
A method for the non-arbitrary determination of the treatment threshold value is presented, based upon mathematical modelling of the clinical and economics consequences of the prevention policy in the whole population.
In a cost-effectiveness approach, the model was used to estimate the cost per coronary event prevented according to the threshold value for blood cholesterol.
It was found that a minimum in this outcome proposed as the optimum treatment threshold.
It is possible, from a public health point of view, to determine an optimum, non-arbitrary treatment threshold value in the prevention of coronary heart disease with cholesterol-lowering interventions.
The model proposed here could be useful in decision making processes.
Mots-clés Pascal : Hypercholestérolémie, Hypertension artérielle, Facteur risque, Cardiopathie coronaire, Homme, Prévention, Prise décision, Analyse coût efficacité, Modèle mathématique, Economie santé, Lipide, Métabolisme pathologie, Dyslipémie, Hyperlipoprotéinémie, Appareil circulatoire pathologie
Mots-clés Pascal anglais : Hypercholesterolemia, Hypertension, Risk factor, Coronary heart disease, Human, Prevention, Decision making, Cost efficiency analysis, Mathematical model, Health economy, Lipids, Metabolic diseases, Dyslipemia, Hyperlipoproteinemia, Cardiovascular disease
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 98-0147778
Code Inist : 002B30A01C. Création : 21/07/1998.