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The predictive value of an ECG-estimated Acute Ischemia Index for prognosis of myocardial salvage and infarct healing 3months following inferior ST-elevated myocardial infarction
- Source :
- Journal of electrocardiology, 46(3), 221-228. Churchill Livingstone, Journal of Electrocardiology, 46(3), 221-228. Churchill Livingstone Inc Medical Publishers
- Publication Year :
- 2013
- Publisher :
- Elsevier BV, 2013.
-
Abstract
- Background and purpose Identification of prognostic markers can be used to stratify patients in the acute phase of ST-elevated myocardial infarction (STEMI) according to their potential to retain viable myocardium after reperfusion. The percentage of the myocardial area at risk (MaR) that is ischemic at admission, defined as the Acute Ischemia Index, is potentially salvageable. The percentage of the MaR viable at 3 months post-reperfusion, by salvage and healing, was defined as the Chronic Salvage Index. A positive relationship between the Acute Ischemia Index and the Chronic Salvage Index was hypothesized. Methods Both indices were assessed by using the ECG indices Aldrich ST and Selvester QRS scores estimating the ischemic and infarcted myocardium. The study population comprised inferior STEMI patients. (N = 59). Results A correlation of 0.253 (P = 0.053) was found. Conclusions These results are relevant and suggest evidence of a trend in the association between these indices.
- Subjects :
- Male
medicine.medical_specialty
Risk Assessment
Sensitivity and Specificity
Severity of Illness Index
Electrocardiography
QRS complex
Percutaneous Coronary Intervention
Internal medicine
Severity of illness
Humans
Medicine
Diagnosis, Computer-Assisted
cardiovascular diseases
Myocardial infarction
Netherlands
medicine.diagnostic_test
business.industry
Incidence
Incidence (epidemiology)
Reproducibility of Results
Recovery of Function
Middle Aged
Prognosis
medicine.disease
Treatment Outcome
Acute Ischemia Index
Cardiology
Population study
Female
Myocardial infarction diagnosis
Cardiology and Cardiovascular Medicine
business
Risk assessment
Algorithms
Subjects
Details
- ISSN :
- 00220736
- Volume :
- 46
- Database :
- OpenAIRE
- Journal :
- Journal of Electrocardiology
- Accession number :
- edsair.doi.dedup.....57c502b736c195b279c153d9143ee78c
- Full Text :
- https://doi.org/10.1016/j.jelectrocard.2013.02.009