Suppr超能文献

[在罗马冠心病预防项目中对高冠状动脉风险受试者的识别(作者译)]

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

作者信息

Mariotti S, Verdecchia A, Capocaccia R, Conti S, Farchi G, Menotti A

出版信息

G Ital Cardiol. 1977;7(2):141-6.

PMID:856663
Abstract

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.

摘要

在罗马冠心病预防项目中,采用了两种不同的技术来识别该项目治疗组中冠心病高风险个体。“风险评分”是世界卫生组织工作组开发的一种简单的累加系统,而“多重逻辑函数”是一种复杂的多变量分析数学模型。它们都考虑5个风险因素(年龄、收缩压、血清胆固醇、吸烟习惯和工作中的体力活动),并用于识别属于风险排名列表前20%的个体。当应用于其他研究中已收集的、已知发病事件的流行病学前瞻性资料时,这两种技术显然具有相似的预测性能。当应用于它们所识别的研究人群组时,它们将不同的人群亚组识别为高风险个体,这些亚组仅部分重叠。基于理论和实际考虑,决定同时使用这两种技术,结果是,符合个体治疗条件的高风险个体比例从总人数的20%扩大到约30%。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验