ROLE OF KILLIP CLASSIFICATION IN PREDICTING IN-HOSPITAL HEART FAILURE AFTER ACUTE CORONARY SYNDROME
Amit Kumar*, Paramjot Kaur, R. C. Negi, Prem Machhan, Jatinder Mokta and Neeraj Ganju
ABSTRACT
Introduction: Risk assessment and stratification plays a key role in management of Acute coronary syndrome (ACS). Killip score is one of the most frequently used risk assessment tool worldwide and an independent predictor of mortality. We aimed to assess the performance of Killip score in predicting in-hospital heart failure after index episode of MI, thereby emphasizing the importance of physical examination in patients of ACS. Methods: We conducted a observational cross sectional study in a tertiary care hospital, analysing data from patients presenting with AMI. Demographic information, comorbidities, symptomatology were collected, Killip score was calculated and correlated with left ventricular ejection fraction (LVEF) to assess their predictive value for acute HF during index MI presentation. Results: A total of 283 patients were included in the study, with a mean age of 60.9 ± 12.0 years. Of 230 patients who had a Killip score of I, 60.1% had preserved EF, 23.7% had mildly reduced EF and only 16.2% patients had reduced EF whereas for patients with Killip score of II the percentage of patients with preserved, mildly reduced and reduced EF was 31.3%, 29.2% and 39.6% respectively. All patients with Killip score of III and IV had reduced EF. This difference was statistically significant with a p value of less than 0.001. Conclusion: Our study emphasized the importance of comprehensive risk assessment and prognostic scoring using Killip scoring model in predicting acute HF development. The Killip score demonstrated a noteworthy correlation with LVEF, with Killip class 3 and class 4 associated with a increased proportion of patients with reduced EF. This underscores the value of general physical examination in patients of ACS and Killip classification is solely based on examining the patient and does the use any biochemical markers.
Keywords: Acute myocardial infarction, Comorbidities, Heart failure, Left ventricular ejection fraction, Prognostic scores, Killip Class.
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