Background： Recent observational studies have shown that patients with higher Killips score （〉Ⅰ） have higher risk of new-onset atrial fibrillation （NOAF） following acute myocardial infarction （AMI）, while oth...Background： Recent observational studies have shown that patients with higher Killips score （〉Ⅰ） have higher risk of new-onset atrial fibrillation （NOAF） following acute myocardial infarction （AMI）, while others drew a neutral conclusion. The ultimate predictive value of high Killips class on NOAF remained obscure. Methods： PubMed, Web of Science, China National Knowledge Infrastructure, and the Cochrane Controlled Trials Register Databases were searched until February 2015. Of the 3732 initially identified studies, 5 observational studies with 10,053 patients were analyzed. Results： The meta-analysis of these studies showed that higher Killips score on admission was associated with higher incidence of NOAF following AMI （odds ratio 2.29, 95% confidence intcrwd 1.96 2.67, P 〈 0.00001 ）, while no significant differences exist among individual trials （P =0.14 and I^2= 43%）. Conclusions： Killips class 〉I was associated with the higher opportunity of developing NOAF following AMI.展开更多
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...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.展开更多
基金Source of Support： This study was partly supported by grants from the National Natural Science Foundation of China （No. 30900618, No. 81270245）. Conflict of Interest： None declared.
文摘Background： Recent observational studies have shown that patients with higher Killips score （〉Ⅰ） have higher risk of new-onset atrial fibrillation （NOAF） following acute myocardial infarction （AMI）, while others drew a neutral conclusion. The ultimate predictive value of high Killips class on NOAF remained obscure. Methods： PubMed, Web of Science, China National Knowledge Infrastructure, and the Cochrane Controlled Trials Register Databases were searched until February 2015. Of the 3732 initially identified studies, 5 observational studies with 10,053 patients were analyzed. Results： The meta-analysis of these studies showed that higher Killips score on admission was associated with higher incidence of NOAF following AMI （odds ratio 2.29, 95% confidence intcrwd 1.96 2.67, P 〈 0.00001 ）, while no significant differences exist among individual trials （P =0.14 and I^2= 43%）. Conclusions： Killips class 〉I was associated with the higher opportunity of developing NOAF following AMI.
文摘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.
