[Prognosis of the outcome of myocardial infarction by using early dynamic exercise tests]

A total of 158 males with a history of myocardial infarction were examined. The examination involved collection of information on their histories, course of the disease and symptoms in the hospital period and early (mean, on day 13) bicycle ergometric exercise tests. A multifactorial analysis made it possible to derive the decision rule to predict the condition of a patient within the first year following the onset of myocardial infarction, which involved prognostically unfavorable history data, such as disability prior to myocardial infarction, alcohol usage, exertional anginal hospital-stage parameters, such as bradycardia, premature contraction, circulatory failure, nodal rhythm, as well as 1 mm or more of ST-segment elevation during the early bicycle ergometric exercise test. The sensitivity of the predictive rule developed was 88.5%, its specificity was 78.5%. The study shows that it is impossible to successfully solve the problem in attempting to predict the outcome from some parameters, including the bicycle ergometric test findings. It is possible to do so only when the complex of data on a patient is taken into account.