Introduction The Killip classification system was introduced for clinical assessment of patients with acute myocardial infarction (MI). It stratifies individuals according to the severity of their post-MI heart failure. This system provides effective stratification of long-term and short-term outcomes in patients with acute MI and influences the treatment strategies. Revalidation of Killip class in our local population is mandatory. We planned this study to increase cardiologist's readiness to tackle the risks associated with increased mortality in each class post ST-segment elevation MI (STEMI). Objectives were to determine the frequency of Killip classes I, II, III, and IV and in-hospital mortality in each Killip class in patients with left ventricular failure secondary to STEMI. Methods A retrospective cross-sectional study was conducted in the Department of Cardiology, Jinnah Hospital, Lahore, over a period of three years. Patients with STEMI were stratified using Killip classification, and validation was performed by determining the within 15 days in-hospital mortality in each Killip class. Results The frequency (percentage) of patients with STEMI in each Killip class from I to IV was 395 (81.4%), 46 (9.5%), 27 (5.6%), and 17 (3.5%), respectively, while the in-hospital mortality in each Killip class came out to be 39 (9.9%), 4 (8.7%), 25 (92.6%) and 17 (100%), respectively. The presence of diabetes, history of smoking, and body mass index (BMI) of more than 30 kg/m were significant contributors to mortality, along with higher Killip class and age of presentation. Conclusions It is concluded that the Killip classification system is a valid tool for risk stratification for patients after STEMI, especially in resource-limited countries.
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http://dx.doi.org/10.7759/cureus.12209 | DOI Listing |
J Cardiol
January 2025
Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, China; Kent and Medway Medical School, Canterbury, Kent, UK; School of Nursing and Health Studies, Hong Kong Metropolitan University, Hong Kong, China.
Approximately 10 % of patients who have suffered from myocardial infarction develop new-onset atrial fibrillation (AF). Coronary artery disease implicating atrial branches has been associated with AF. The following variables have been associated with new-onset AF in the setting of acute coronary syndrome: older age, history of hypertension, history of angina, history of stroke, chronic renal failure, body mass index, no statin use, worse nutritional status, worse Killip class, admission heart rate ≥ 85 bpm, complete atrioventricular block, Glasgow prognostic score, Syntax score, CHEST score > 3, PRECISE-DAPT score ≥ 25, left ventricular ejection fraction ≤40 %, increased left atrial diameter, E/E' ratio > 12, epicardial fat tissue thickness, and thrombolysis in myocardial infarction flow < 3.
View Article and Find Full Text PDFAim: To identify predictors and construct a model for predicting left ventricular (LV) ejection fraction (EF) in patients with ST-segment elevation myocardial infarction (STEMI).
Material And Methods: This was a prospective registry study of patients with STEMI admitted within the first 24 hours of the disease onset. Patients were evaluated and treated according to the current clinical guidelines.
Porto Biomed J
January 2025
Rua Camilo Castelo Branco, Cardiology Department, São Bernardo Hospital, Setúbal Hospital Centre, Setúbal, Portugal.
Introduction And Objectives: Iron deficiency (ID) is a well-known prognostic marker in heart failure (HF), independent of anemia. However, its impact in acute coronary syndromes (ACSs) is not well established.
Methods: This is a retrospective analysis of patients admitted with ACS from January to December 2019.
Glob Heart
January 2025
Adult Cardiology Department, Aswan Heart Centre, Magdi Yacoub Foundation, Aswan, Egypt.
Nan Fang Yi Ke Da Xue Xue Bao
December 2024
Fifth Clinical Medical College of Shanxi Medical University, Taiyuan 030012, China.
Objectives: To investigate the correlation of serum levels of bridging integrating factor 1 (BIN1) with acute myocardial infarction (AMI) and Killip class of the patients.
Methods: We retrospectively collected the data from 94 patients with AMI and 30 healthy individuals for analysis of the correlations of serum BIN1 levels with Killip class, TIMI scores, and neutrophil-to-lymphocyte ratio (NLR). We also assessed the diagnostic value of BIN1 combined with NLR for AMI.
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