Computerized classification of proximal occlusion in the left anterior descending coronary artery.
Proximal occlusion within the left anterior descending (LAD) coronary artery in patients with acute myocardial infarction leads to higher mortality than does nonproximal occlusion. We evaluated an automated program to detect proximal LAD occlusion. All patients with suspected acute coronary syndrome...
| Publicado en: | Journal of Electrocardiology Vol. 43; no. 6; pp. 634 - 640 |
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| Autores principales: | , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
W B Saunders
Nov2010
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104943530&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104943530 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00220736 1276 jtl: Journal of Electrocardiology issn: 00220736 maglogo: N pubinfo: dt: Nov2010 vid: 43 iid: 6 pid: 1351 pub: W B Saunders place: Philadelphia, Pennsylvania artinfo: ui: 104943530 NLM21069903 2010856819 10.1016/j.jelectrocard.2010.07.012 NLM21069903 104943530 ppf: 634 ppct: 6 formats: tig: atl: Computerized classification of proximal occlusion in the left anterior descending coronary artery. aug: au: Gregg RE Nikus KC Zhou SH Startt Selvester RH Barbara V Gregg, Richard E Nikus, Kjell C Zhou, Sophia H Startt Selvester, Ronald H Barbara, Victoria affil: Advanced Algorithm Research Center, Philips Healthcare, Thousand Oaks, CA, USA sug: subj: Coronary Stenosis Diagnosis Coronary Stenosis Epidemiology Diagnosis, Computer Assisted Methods Electrocardiography Methods Aged California Diagnosis, Computer Assisted Statistics and Numerical Data Electrocardiography Statistics and Numerical Data Female Human Male Middle Age Observer Bias Prevalence Reproducibility of Results Sensitivity and Specificity Aged: 65+ years Middle Aged: 45-64 years Female Male ab: Proximal occlusion within the left anterior descending (LAD) coronary artery in patients with acute myocardial infarction leads to higher mortality than does nonproximal occlusion. We evaluated an automated program to detect proximal LAD occlusion. All patients with suspected acute coronary syndrome (n = 7,710) presenting consecutively to the emergency department of a local hospital with a coronary angiogram–confirmed flow-limiting lesion and notation of occlusion site were included in the study (n = 711). Electrocardiograms (ECGs) that met ST-segment elevation myocardial infarction (STEMI) criteria were included in the training set (n = 183). Paired angiographic location of proximal LAD and ECGs with ST elevation in the anterolateral region were used for the computer program development (n = 36). The test set was based on ECG criteria for anterolateral STEMI only without angiographic reports (n = 162). Tested against 2 expert cardiologists' agreed reading of proximal LAD occlusion, the algorithm has a sensitivity of 95% and a specificity of 82%. The algorithm is designed to have high sensitivity rather than high specificity for the purpose of not missing any proximal LAD in the STEMI population. Our preliminary evaluation suggests that the algorithm can detect proximal LAD occlusion as an additional interpretation to STEMI detection with similar accuracy as cardiologist readers. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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