Prediction of Survival after Myocardial Infarction Using Killip Class
| Autor: | Mohamad Taher Sarokhani, Enayatolah Bakhshi, Hassan Jahanihashemi, Farajollah Hemati, Diana Sarokhani, Morteza Motedayen, Ali Sayehmiri, Kourosh Sayehmiri |
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| Rok vydání: | 2012 |
| Předmět: |
medicine.medical_specialty
medicine.diagnostic_test business.industry Patient characteristics Physical examination Patient survival medicine.disease Logistic regression One year mortality Discriminant function analysis Internal medicine medicine Cardiology Myocardial infarction Medical emergency business Killip class |
| Zdroj: | International Journal of Clinical Medicine. :563-568 |
| ISSN: | 2158-2882 2158-284X |
| Popis: | Background: Short and long term predictions of mortality and survival after a myocardial infarction (MI) are important in order to assist physicians in their decision about optimal treatment. We considered the utility of Killip class and other risk factors in the prediction of cardiac death after a MI. Methods: One hundred and eighty two patients with myocardial infarctions were studied over a one year period. Variables include historical factors, physical examination and noninvasive factors measured during hospitalization. All patients were selected in the Imam Khomeini hospital in Ilam City in Iran. Discriminant function and Logistic regression were used to analyze data. The percent of correct classification was compute using the Jack knife method. Results: The one month, 6 months, and one year mortality rate after MI was 25.8, 29.7, and 32.8 percent, respectively. The rate of mortality for women was 1.78 times higher than of the men (RR = 1.78, P-value = 0.02).The mean age was 62.45 year. Our results show that the mortality at 1 month and 6 months after MI had a significant relation with Killip class (P-value Conclusion: Death and patient survival of up to one year after MI is predictable using an initial Killip class and other patient characteristics. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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