Prognostic associations of Minnesota code serial electrocardiographic change classification with coronary heart disease mortality in the Multiple Risk Factor Intervention Trial

被引:44
作者
Crow, RS
Prineas, RJ
Hannan, PJ
Grandits, G
Blackburn, H
机构
[1] Division of Epidemiology, University of Minnesota, Minneapolis, MN
[2] Division of Epidemiology, School of Public Health, University of Minnesota, Minneapolis, MN 55454-1015
关键词
D O I
10.1016/S0002-9149(97)00307-X
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
A central requirement for epidemiologic studies and clinical trials is a bias-free, objective determination of cardiac incidence rates between comparison groups. Epidemiologic studies and clinical trials frequently use changes in the Minnesota Code to document incident ischemic events. An electrocardiographic (EGG) classification system was developed to document significant ECG pattern change using objective comparison roles for side-by-side annual ECG comparison. previously, we showed that major evolving Q waves were strongly and independently associated with total and coronary disease mortality. Using baseline-to-annual ECG comparisons in the Multiple Risk Factor Intervention Trial, we evaluated major evolving Q waves, minor evolving Q waves combined with major evolving ST-T waves and major evolving ST-T waves alone for their prognostic associations with coronary, cardiovascular, and total mortality during 16 years of follow-vp. The 16-year coronary mortality rate in men with evolving minor Q waves plus evolving ST-T waves had an average adjusted relative risk of 4, equivalent to that of a major evolving Q wave. These risk ratios held whether a clinical infarction had occurred. Silent evolving ST-T waves without Q-wave change had an average adjusted relative coronary mortality risk of 1.6. Serial comparison methodology documents additional incident ischemic ECG events beyond the traditional major Minnesota Q-code change used in older epidemiologic studies. The procedure is standardized, quantitative, and repeatable. it is applicable for any study, present or past, that used Minnesota coding. The method is also well suited for incorporation in computer analysis programs. (C) 1997 by Excerpta Medica, Inc.
引用
收藏
页码:138 / 144
页数:12
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