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Biomedical subjects

A Menotti

Publications and source records attributed to A Menotti.

At least 235 records · Page 13Linked to original sources
PubMed1977

[Identification of subjects at high coronary risk in the Roman Project of Coronary Heart Disease Prevention (author's transl)].

In the Roman Project of Coronary Heart Disease Prevention two different techniques were employed for the identification of individuals at high coronary risk within the treatment groups of the Project. The "risk score" is a simple additive system developed by the working groups of WHO, while the "multiple logistic function" is a complex mathematical model of multivariate analysis. Both of them consider 5 risk factors (age, systolic blood pressure, serum cholesterol, smoking habits and physical activity at work) and are applied for the identification of individuals belonging to the upper 20% of a risk rank list. The two techniques apparently provide similar predictive performances when applied to epidemiological prospective material collected in other studies where the morbid events are already known. When employed in the study population groups they identify, as high risk individuals, different subgroups of population, which overlap only partially. On the basis of theoretical and practical considerations, it has been decided to employ both techniques and to extend, as a consequence, the proportion of high risk individual, eligible for individual treatment, from 20% to about 30% of the total.

Adult↗
PubMed1975

[The prediction of coronary heart disease. A mathimatical model applied to Italian field studies (author's transl)].

The multiple logistic function (MLF) was applied for the estimation of coronary heart disease (CHD) - "hard criteria" in 5 years as a function of several risk factors in two rural Italian areas belonging to the "Seven Countries Study". CHD was estimated with solutions including 4, 5 and 11 factors respectively. Only serum cholesterol showed a statistically significant contribution; but other factors, like age and physical activity, very likely contributed to a better discrimination between "cases" and "non-cases". By increasing the number of factors the discrimination tends to improve anyway. In the solution with 11 factors, 46% of the observed cases was found in the upper 10% of the estimated risk probabilities; 57% in the upper 20%; while no cases were found in the lowest 20% of the same rank probability list. For practical purposes of selecting high risk individuals for preventive action, a simple 5 factor solution, including age, systolic blood pressure, serum cholesterol, consumption of cigarettes and physical activity is suggested.

Adult↗