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G Farchi

Publications and source records attributed to G Farchi.

49 records · Page 3Linked to original sources

Coronary risk factors and excess mortality from all causes and specific causes.

Data from two Italian rural cohorts of the Seven Countries Study are used to examine the relationship between level at entry to the study of some coronary risk factors and subsequent mortality. The target follow-up period of 15 years after entry to the study is complete. Causes of death are classified according to standard criteria and age-adjusted rates are calculated. The analysis shows that blood pressure and smoking are risk factors that explain a substantial amount of total mortality, whereas serum cholesterol seems to be a specific risk factor for coronary mortality. The excess risks of death attributable to blood pressure, smoking, serum cholesterol and also the estimated risk of death are reported.

Adult↗

Risk factors changes and coronary heart disease in an observational study.

Data from the Seven Countries Study are analysed to examine the relationship between the observed incidence of Coronary Heart Disease in the second 5-year period of follow-up and the major entry risk factors and their changes over the first 5 years. The analysis, using the Multiple Logistic Function model, shows that changes in systolic blood pressure and smoking habits are significant factors associated with incidence, while changes in cholesterol and body mass index do not play this role. This conclusion applies to the population as a whole. A more detailed analysis, stratifying the population by estimated risk at entry and changes of risk over 5 years, shows that incidence is related to changes of risk in low and medium entry risk groups. Moreover, a univariate analysis of data limited to systolic blood pressure and cholesterol indicates that changes in blood pressure are related to incidence in the group with highest entry level of blood pressure, while changes in cholesterol are irrelevant to subsequent incidence.

Adult↗

[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↗

[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↗

Mammographic aspect, cell kinetics and hormone receptor status of operable breast cancer.

To investigate the relationships between the mammographic aspects (according to Broberg), proliferative activity and hormone receptor status, we studied 165 patients subjected to radical mastectomy for operable breast cancer. The highest percentage of estrogen receptor-positive cases was observed in mammograph class I (p < 0.02) while classes III and V were highest in progesterone receptor-positive cases. Proliferative activity (111 cases) was significantly lower in class I and IV with respect to all other classes (p < 0.03 and p < 0.01, respectively). This study suggests that certain mammographic signs can be related to the biological characteristics of breast cancer.

Breast Neoplasms↗