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ECG evaluation in patients with pacemaker and suspected acute coronary syndrome: Which score should we apply?
- Source :
- Journal of Electrocardiology. 49:744-748
- Publication Year :
- 2016
- Publisher :
- Elsevier BV, 2016.
-
Abstract
- Background/Purpose In patients with right ventricular pacing, the ECG shows a left bundle branch block (LBBB) pattern. There are several criteria to diagnose ST-elevation myocardial infarction (STEMI) in patients with LBBB. The aim of this study was to validate and compare Sgarbossa's with two new scores – Selvester's and Smith's – in this context. Methods We identified pacemaker patients submitted to coronary angiography due to acute coronary syndrome. ECGs were analyzed by 2 blinded cardiologists. STEMI was defined according to angiographic and biochemical criteria. Sensitivity, specificity, positive and negative predictive values were calculated. Results Forty-three patients with ventricular pacing were included for analysis. STEMI was diagnosed in 26 patients (60%). The most sensitive score was Selvester's (38.5%; 95% CI: 20.2–59.4) while the most specific was Sgarbossa's (100%; 95% CI: 80.5–100). Conclusions The sequential application of these scores proved to be clinically useful in the context of STEMI.
- Subjects :
- Male
Pacemaker, Artificial
medicine.medical_specialty
Acute coronary syndrome
medicine.medical_treatment
Myocardial Infarction
Context (language use)
030204 cardiovascular system & hematology
Sensitivity and Specificity
Cardiac pacemaker
Diagnosis, Differential
Electrocardiography
03 medical and health sciences
0302 clinical medicine
Internal medicine
Positive predicative value
medicine
Humans
Diagnosis, Computer-Assisted
cardiovascular diseases
030212 general & internal medicine
Myocardial infarction
Acute Coronary Syndrome
Aged
Aged, 80 and over
medicine.diagnostic_test
Left bundle branch block
business.industry
Coronary Stenosis
Reproducibility of Results
medicine.disease
Coronary occlusion
Cardiology
Female
Cardiology and Cardiovascular Medicine
business
Algorithms
Subjects
Details
- ISSN :
- 00220736
- Volume :
- 49
- Database :
- OpenAIRE
- Journal :
- Journal of Electrocardiology
- Accession number :
- edsair.doi.dedup.....103668edfe41c38cbee859f1888064a7
- Full Text :
- https://doi.org/10.1016/j.jelectrocard.2016.06.012