POPULATION MODELS OF CARDIOVASCULAR RISK PREDICTION: EXPEDIENCE OF MODELING AND ANALYTIC REVIEW OF CURRENT MODELS
https://doi.org/10.15829/1728-8800-2015-6-54-58
Abstract
The review collects the data on the approaches to modeling of population risk of cardiovascular diseases (CVD), including methodological aspects and practical significance of modeling results. The general scheme is provided for population modeling that includes three steps: collection of data for incoming parameters, the modeling process itself and its results, and practical application of the modeling. The main population models are described of the CVD risk with examples and results of its usage. The conclusion provided on the airworthiness for national model development of the prediction of population cardiovascular risk, maximally adapted for Russia specifics and for the expected outcomes of modeling in Russian population. The presence of such instrument makes it, for the policy makers, to predict efficacy of prevention meres and effectively disperse shortened resources.
About the Authors
A. V. Kontsevaya
National Research Center for Preventive Medicine of the Ministry of Health, Moscow
Russian Federation
Russian Federation
S. A. Shalnova
National Research Center for Preventive Medicine of the Ministry of Health, Moscow
Russian Federation
Russian Federation
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Review
For citations:
Kontsevaya A.V., Shalnova S.A. POPULATION MODELS OF CARDIOVASCULAR RISK PREDICTION: EXPEDIENCE OF MODELING AND ANALYTIC REVIEW OF CURRENT MODELS. Cardiovascular Therapy and Prevention. 2015;14(6):54-58. (In Russ.) https://doi.org/10.15829/1728-8800-2015-6-54-58
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