Context: In acute myocardial infarction, the presence and severity of heart failure at the time of initial presentation have been formally categorized by the Killip classification. Although well studied in ST-elevation myocardial infarction, the prognostic importance of Killip classification in non-ST-elevation acute coronary syndromes is not well established.
Objectives: To determine the prognostic importance of physical examination for heart failure analyzed according to Killip classification in non-ST-elevation acute coronary syndromes and to understand its predictive value relative to other variables.
Design, Setting, And Patients: From April 2001 to September 2003, We analyzed information from 26 090 patients with non-ST-elevation acute coronary syndromes enrolled in the GUSTO IIb, PURSUIT, PARAGON A, and PARAGON B trials. Demographic information was categorized by Killip class. Killip classes III and IV were combined into 1 category. Multivariate Cox proportional hazard models were developed to determine the prognostic importance of Killip classification in comparison with other variables.
Main Outcome Measure: Association between Killip classification and all-cause mortality at 30 days and 6 months.
Results: Patients in Killip class II (n = 2513) and III/IV (n = 390) were older than those in Killip class I (n = 23 187), with higher rates of diabetes, prior myocardial infarction, ST depression, and elevated cardiac enzymes (all P<.001). Higher Killip class was associated with higher mortality at 30 days (2.8% in Killip class I vs 8.8% in class II vs 14.4% in class III/IV; P<.001) and 6 months (5.0% vs 14.7% vs 23.0%, respectively; P<.001). Patients with Killip class II, III, or IV constituted 11% of the overall population but accounted for approximately 30% of the deaths at both time points. In multivariate analysis, Killip class III/IV was the most powerful predictor of mortality at 30 days (hazard ratio [HR], 2.35; 95% confidence interval [CI], 1.69-3.26; P<.001) and 6 months (HR, 2.12; 95% CI, 1.63-2.75; P<.001). Killip class II was predictive of mortality at 30 days (HR, 1.73; 95% CI, 1.44-2.09; P<.001) and 6 months (HR, 1.52; 95% CI, 1.31-1.76; P<.001). Five factors-age, Killip classification, heart rate, systolic blood pressure, and ST depression-provided more than 70% of the prognostic information for 30-day and 6-month mortality.
Conclusions: Killip classification is a powerful independent predictor of all-cause mortality in patients with non-ST-elevation acute coronary syndromes. Age, Killip classification, heart rate, systolic blood pressure, and ST depression should receive particular attention in the initial assessment of these patients.
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http://dx.doi.org/10.1001/jama.290.16.2174 | DOI Listing |
Arq Bras Cardiol
January 2025
Department of Cardiovascular Medicine - Shengzhou People's Hospital (Shengzhou Branch of the First Affiliated Hospital of Zhejiang University School of Medicine, the Shengzhou Hospital of Shaoxing University), Zhejiang - China.
Background: ST-segment elevation myocardial infarction (STEMI) is a common and severe form of acute myocardial infarction (AMI).
Objectives: The study aimed to investigate the relationship between serum nitric oxide (NO) and endothelin-1 (ET-1) levels with the severity of STEMI and their predictive value for major adverse cardiovascular events (MACE) within one year after percutaneous coronary intervention (PCI) in STEMI patients.
Methods: The retrospective study was conducted on 269 STEMI patients who underwent PCI.
Coron Artery Dis
January 2025
Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu Province, China.
Background: It is uncertain whether ticagrelor is more effective and safer than clopidogrel in ST-segment elevation myocardial infarction (STEMI) patients in the East Asian population in the real world. This study compared the clinical outcomes of ticagrelor and clopidogrel in STEMI patients undergoing primary percutaneous coronary intervention (PCI).
Methods: We retrospectively enrolled 1124 patients diagnosed with STEMI in Nanjing First Hospital from July 2011 to April 2019.
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.
Comput Methods Programs Biomed
December 2024
College of Mathematics, Taiyuan University of Technology, Taiyuan, Shanxi 030024, PR China. Electronic address:
Background: The GRACE (Global Registry of Acute Coronary Events) risk score is a well-established tool for predicting major cardiovascular events in patients with acute coronary syndrome. However, its application in acute ST-segment elevation myocardial infarction (STEMI) requires refinement to enhance its predictive accuracy in clinical settings.
Methods: In this study, we conducted a retrospective analysis of the incidence of out-of-hospital all-cause death (ACD), calculated the correlation and significance of the GRACE score indicators with ACD, and reduced the scores corresponding to insignificant and low-correlation indicators to adjust the scores for survive patients.
J Hum Hypertens
December 2024
Department of Cardiology, Kartal Kosuyolu Research and Education Hospital, Istanbul, Kartal, Turkey.
Coronary collateral flow (CCF) is crucial for myocardial viability in patients with obstructive coronary artery disease, specifically ST-elevation myocardial infarction (STEMI). However, hypertension can contribute to vascular dysfunction and hinder the formation of CCF. Wide pulse pressure (WPP), defined as ≥65 mmHg, may better reflect impaired cardiovascular health compared to classic blood pressure indices.
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