ABSTRACT
Background: Clinical guidelines recommend that optimal management of acute coronary syndrome should include patient risk stratification. Predicting the anatomical extension of coronary artery disease is also potentially useful for clinical decision. The objective of our study is to determine whether the GRACE risk score correlates with the angiographic extent and severity of coronary artery disease in patients with ST elevation myocardial infarction. Methodology: 50 patients diagnosed with Acute Myocardial Infarction were included as sample by purposive sampling method. GRACE risk score for each patient was calculated and the patients were divided into groups according to the GRACE risk score: low risk (<108); intermediate risk (109-140). The severity of the coronary artery disease was assessed by vessel score and Gensini score. Relation between Grace score and Gensini score was evaluated. Results: Mean GRACE score of study population was 128.3±22.7. Mean Gensini score was 23.88±17. Mean Gensini score were 15.47±10.4, 27.75±9.26 and 31.52±16.91 in low GRACE risk group, intermediate group and high risk group respectively and the difference of mean Gensini score was statistically significant (p=0.006). In our study correlation co-efficient between GRACE risk score and Gensini score was r=0.17 (p=0.04). Multiple regression analysis showed that age more than 50 years (p=0.02), ST segment deviation (p=0.01), smoking (p=0.02), hypertension (p=0.01) were able to independently predict patients with severe CAD. Conclusion: Our study demonstrates that the GRACE risk score carries a significant positive correlation with the coronary artery disease severity in patients with STEMI.
ABSTRACT
Background: There is growing recognition that congestive heart failure caused by a predominant abnormality in left ventricular diastolic function is common and causes significant morbidity and mortality. Diastolic function usually declines before systolic function, and this precedes clinical signs. 12-lead electrocardiogram is a commonly used tool to assess left atrial enlargement, which is a marker of left ventricular diastolic dysfunction. We investigated the relationship between P wave dispersion, which is easily measured on the surface electrocardiogram and left ventricular diastolic function. Methods: There were 100 patients: 50 with diastolic dysfunction and 50 without. P wave dispersions were calculated by measuring minimum and maximum P wave duration values on the surface electrocardiogram. The relationships between P wave dispersion and echocardiographic measurements of diastolic dysfunction were assessed. Results: Maximum P wave duration was observed significantly (p=0.001) in patients with left ventricular diastolic dysfunction (119.60±8.2 ms vs 114.0±6.4 ms). Minimum P wave duration was observed significantly (p=0.001) higher in patients without diastolic dysfunction (72.6±7.5 ms vs 62.70±7.4 ms). P wave dispersion was observed significantly (p=0.001) higher in patients with left ventricular diastolic dysfunction (56.6±6.3 ms vs 41.5±5.2 ms). When patients were grouped according to grades of diastolic dysfunction, P wave dispersion was observed sequentially increased among 3 grades of left ventricular diastolic dysfunction (55.8±5.2 ms vs 55.9±7.0 ms vs 61.4±4.7) but the differences were not statistically significant (p=0.09). Conclusion: We conclude that P wave dispersion increases in diastolic dysfunction of LV. When clinical and echocardiographic variables are taken into account, there is a weak but significant correlation between P wave dispersion and left ventricular ejection fraction.