01 · ABSTRACT
Abstract
According to various published studies, at least 26 cardiovascular risk factors can contribute to the individual cardiovascular risk. For all of these risk factors quantitative risk multipliers are known which can be systematically derived from various epidemiological findings.
On the other hand, only a few risk factors are considered by the risk scores established (FRAMINGHAM, PROCAM, ESC and HEART score, for instance). Thus, a relevant proportion of patients affected with myocardial infarction or other cardiovascular events do not belong to a high risk group according to these scores.
Thus, alternative tools for universal risk calculation are desirable to improve the significance and sensitivity of such estimations.
Based on “traditional“ risk factors considered by the scores mentioned, mathematical analyses were carried out to describe coincidences of various risk factors with regard to the resulting total risk. Their quantitative synergism and relativity can be mathematically described by a specific hyperbolic tangent function derived from the PROCAM score.
By other formulas PROCAM risk calculated in this way can be transformed into corresponding FRAMINGHAM and ESC risk which are targeted at other critical end points.
We consider that the special interaction of risk factors described in our mathematical models can be regarded as a general law of nature so that our formulas could be used for universal risk estimations in all risk constellations imaginable, even when multiple risk factors are coincident.
↓ Read PDFOn the other hand, only a few risk factors are considered by the risk scores established (FRAMINGHAM, PROCAM, ESC and HEART score, for instance). Thus, a relevant proportion of patients affected with myocardial infarction or other cardiovascular events do not belong to a high risk group according to these scores.
Thus, alternative tools for universal risk calculation are desirable to improve the significance and sensitivity of such estimations.
Based on “traditional“ risk factors considered by the scores mentioned, mathematical analyses were carried out to describe coincidences of various risk factors with regard to the resulting total risk. Their quantitative synergism and relativity can be mathematically described by a specific hyperbolic tangent function derived from the PROCAM score.
By other formulas PROCAM risk calculated in this way can be transformed into corresponding FRAMINGHAM and ESC risk which are targeted at other critical end points.
We consider that the special interaction of risk factors described in our mathematical models can be regarded as a general law of nature so that our formulas could be used for universal risk estimations in all risk constellations imaginable, even when multiple risk factors are coincident.
02 · OJS METADATA
Keywords
Risk factorsinteractionestimationcalculationscoreFraminghamPROCAMESCmathematical modelsmulti-risk constellationscardiovascular eventmyocardial infarctioncardiovascular death
03 · PUBLICATION RECORD
Article details
JournalMedical Research Archives
IssueVol 3 No 3 (2016): Vol.3 Issue 3 - 21-27th January 2016
SectionResearch Articles
Published18 January 2016
ISSN2375-1924
04 · RIGHTS & REUSE
Rights & reuse
This article is published under a Creative Commons Attribution License (CC BY 3.0) and may be shared or distributed by anyone as long as attribution is given to the journal.