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Killip Classification and Glucose Levels in Patients with Acute Myocardial Infarction

K. Raghu , B.S. Gopala Krishna , K. Raghu , B. Phanikrishna

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Indian Journal of Emergency Medicine 5(2):p 65-72, Apr-June 2019. | DOI: http://dx.doi.org/10.21088/ijem.2395.311X.5219.1

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Abstract

Aim: Current study is designed to determine the significance of Killip classification and blood glucose levels in risk stratification of patients with Myocardial Infarction. Method: 100 patients admitted for the treatment of myocardial infarction during may 2011-2014. These patients were initially given diagnosis of acute MI upon admission to ED. Details regarding 2D echocardiography of the patient is noted. The details of any interventional strategies like CAG, PTCA, CABG were recorded. Results: Out of 100 patients 74 (74%) were males and 26 (26%) were females. Their mean age was 50.15 ± 14.04 years. data showing increase in the mean length of stay with increase in killips classification. Ventilator support is needed in killips classes III and IV patients when compared to killips classes Iand II. The need for ionotropic support increases as killips class advances from class II to IV. In IWMI 73.2% of the cases are of killips class I and 9.8% of the cases are of killips class IV. The high percentage of cases i.e 65.9% in killips class I under went coronary angiogram (CAG). Patients in killips class III has higher rates of readmission when compared to other classes i.e 33.3% of cases. Mortality is high in killips class III (42.9%) and class IV (57.1%). patients with initial high blood glucose values on admission have higher readmission rates. patients with initial high blood glucose values have high mortality rate. The mean age group in patients who were discharged home is 49.73 where as the mean age group in patients who were dead is 55.71. Conclusion: Patients with higher killip class on initial presentation have longer length of stay in hospital and high mortality rate. Combined together, killip classification & blood glucose levels are better indicators of morbidity and mortality than any one factor alone.

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DOI: http://dx.doi.org/10.21088/ijem.2395.311X.5219.1

Keywords

Acute Myocardial Infarction; Killip classification; blood glucose levels.

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