Document Detail

Can ECG changes predict the long-term outcome in patients admitted to hospital for suspected acute myocardial infarction?
MedLine Citation:
PMID:  9286509     Owner:  NLM     Status:  MEDLINE    
7,028 patients with suspected acute myocardial infarction and discharged alive from hospital were followed in a 10-year community-based study. The long-term prognosis was relatively good if the electrocardiograms (ECGs) were normal (5-year all-cause death rate 5%), poor with uncodable ECGs showing rhythm or conduction disturbances (37%), and intermediate with new Q wave, new ST elevation, new T wave inversion or ischemic ECG (17-21%), and with new ST depression (27%). Similar patterns were found for ischemic cardiac death and reinfarction. The long-term prognosis of patients with suspected acute myocardial infarction is relatively good if the ECGs are normal and poor if ECGs are uncodable. ST depression may be a marker for a worse long-term outcome.
L L Lim; S Kinlay; J D Fisher; A J Dobson; R F Heller
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Cardiology     Volume:  88     ISSN:  0008-6312     ISO Abbreviation:  Cardiology     Publication Date:    1997 Sep-Oct
Date Detail:
Created Date:  1997-10-14     Completed Date:  1997-10-14     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  1266406     Medline TA:  Cardiology     Country:  SWITZERLAND    
Other Details:
Languages:  eng     Pagination:  460-7     Citation Subset:  IM    
Centre for Clinical Epidemiology and Biostatistics, University of Newcastle, N.S.W., Australia.
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MeSH Terms
Age Factors
Creatine Kinase / blood
Electrocardiography / mortality,  statistics & numerical data*
Follow-Up Studies
Length of Stay
Middle Aged
Myocardial Infarction / drug therapy,  enzymology,  mortality*,  physiopathology
Myocardial Ischemia / mortality,  physiopathology
Patient Admission*
Predictive Value of Tests
Risk Factors
Sex Factors
Reg. No./Substance:
0/Isoenzymes; EC Kinase

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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