ELECTROCARDIOGRAPHIC AND CLINICAL PREDICTORS OF ACUTE MYOCARDIAL-INFARCTION IN PATIENTS WITH UNSTABLE ANGINA-PECTORIS

Citation
D. Lloydjones et al., ELECTROCARDIOGRAPHIC AND CLINICAL PREDICTORS OF ACUTE MYOCARDIAL-INFARCTION IN PATIENTS WITH UNSTABLE ANGINA-PECTORIS, The American journal of cardiology, 81(10), 1998, pp. 1182-1186
Citations number
21
Categorie Soggetti
Cardiac & Cardiovascular System
ISSN journal
00029149
Volume
81
Issue
10
Year of publication
1998
Pages
1182 - 1186
Database
ISI
SICI code
0002-9149(1998)81:10<1182:EACPOA>2.0.ZU;2-2
Abstract
Among patients with unstable angina pectoris (UAP), those who have non -ST-elevatian acute myocardial infarction (AMI) are at higher risk for subsequent adverse events. To determine predictors of AMI in patients with UAP, we studied consecutive nonreferral patients with UAP or AMI admitted from the emergency department to the intensive care or telem etry units of an urban teaching hospital over 1 year. There were 280 s tudy patients (mean age 66 years, 1/3 women); 24% had AMI at presentat ion, whereas 76% had UAP without evidence of AMI. Thresholds of greate r than or equal to 3 involved leads (odds ratio [OR] 3.3; 95% confiden ce intervals [CI] 1.6 to 6.9) and greater than or equal to 0.2 mV (OR 5.1; 95% CI 2.2 to 11.6) of ST depression on the presenting electrocar diogram were strongly associated with AMI. The multivariate predictors of AMI were reported duration of symptoms > 4 hours (OR 3.8; 95% CI 1 .9 to 7.3), absence of prior revascularization (OR 3.5; 95% CI 1.6 to 7.5), absence of beta-blocker use before presentation (OR 2.8; 95% CI 1.3 to 5.8), and presence of new ST depression (OR 2.8; 95% CI 1.4 to 5.7). Using the 4 multivariate predictors, a prediction rule was devel oped. The percentages of patients with AMI when 0, 1, 2, 3, or 4 chara cteristics were present, respectively, were 7%, 6%, 24%, 46%, and 83% (p < 0.001). A similar prediction rule developed from the Thrombolysis in Myocardial Ischemia ill trial was validated in our cohort. Among p atients with UAP, electrocardiographic and clinical variables can help immediately identify those at high risk for AMI at presentation. (C) 1998 by Excerpta Medica, Inc.