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[Prognosis of the outcome of recurrent myocardial infarct]
Insights
This study introduces a new method using Bayes formula for predicting outcomes in recurrent myocardial infarction patients. The approach accurately forecasts patient recovery or mortality, aiding clinical decision-making.
Area of Science:
- Cardiology
- Medical Prognostics
- Bayesian Statistics
Abstract:
The authors developed a method for prognosticating the outcome of recurrent myocardial infarction with the use of the Bayes formula. The diagnosis of recurrent myocardial infarction was made when necroses recurred in the myocardium during in-patient treatment for acute myocardial infarction. The prognosis was determined 72 hours after the recurrence of the necrosis. The prognostic signs characterized predominantly the degree of congestive circulatory failure and the frequency of disorders of cardiac rhythm in the acute period of myocardial infarction and recurrent myocardial infarction as well as in the interval betwen them (10 signs with informativeness of 0.117 to 0.05 were used.) The prognosis was erroneous in 8 of 70 patients who recovered from the disease and in 1 of 17 who died.