Validation of the vessel-specific leads (VSLs) for acute ischemia detection on a dataset with non-ischemic ST-segment deviation

John J. Wang, Olle Pahlm, Galen S. Wagner, James W. Warren, B. Milan Horáček, John L. Sapp

Producción científica: Capítulo en Libro/Reporte/Acta de conferenciaContribución a la conferencia

5 Citas (Scopus)

Resumen

Existing criteria recommended by ACC/ESC for identifying patients with ST-elevation myocardial infarction (STEMI) from the 12-lead ECG perform with high specificity (SP), but low sensitivity (SE). In our previous study, we found that the SE of acute ischemia detection can be markedly improved without any loss of SP by calculating, from the 12-lead ECG, ST elevation in 3 vessel-specific leads (VSLs). To further validate the method, we evaluated the SP using a dataset with non-ischemic ST-segment changes, consisting of 12-lead ECGs of 100 patients. These ECGs were chosen to represent five causes of pathological ST deviation, other than acute coronary occlusion: ventricular pre-excitation, acute pericarditis, early-repolarization syndrome, left ventricular hypertrophy, and left bundle branch block. Both STEMI and VSL criteria were tested by calculating SP as the performance measure. We found that SP of the STEMI criteria was 100%, 4%, 29%, 100%, and 64%, respectively, for the five subgroups. The corresponding values of SP for the VSLs were 92%, 88%, 100%, 77%, and 68%. For the entire group, SP was 57% for the STEMI criteria and significantly higher for the VSLs at 83%. Thus, the VSLs not only are more sensitive in detecting acute ischemia, but also significantly more specific in rejecting patients with non-ischemic ST deviation than the existing STEMI criteria.

Idioma originalEnglish
Título de la publicación alojadaComputing in Cardiology Conference 2015, CinC 2015
EditoresAlan Murray
EditorialIEEE Computer Society
Páginas849-852
Número de páginas4
ISBN (versión digital)9781509006854
DOI
EstadoPublished - feb. 16 2015
Evento42nd Computing in Cardiology Conference, CinC 2015 - Nice, France
Duración: sep. 6 2015sep. 9 2015

Serie de la publicación

NombreComputing in Cardiology
Volumen42
ISSN (versión impresa)2325-8861
ISSN (versión digital)2325-887X

Conference

Conference42nd Computing in Cardiology Conference, CinC 2015
País/TerritorioFrance
CiudadNice
Período9/6/159/9/15

Nota bibliográfica

Publisher Copyright:
© 2015 CCAL.

ASJC Scopus Subject Areas

  • General Computer Science
  • Cardiology and Cardiovascular Medicine

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