Literature DB >> 27181187

Electrocardiographic diagnosis of ST segment elevation myocardial infarction: An evaluation of three automated interpretation algorithms.

J Lee Garvey1, Jessica Zegre-Hemsey2, Richard Gregg3, Jonathan R Studnek4.   

Abstract

OBJECTIVE: To assess the validity of three different computerized electrocardiogram (ECG) interpretation algorithms in correctly identifying STEMI patients in the prehospital environment who require emergent cardiac intervention.
METHODS: This retrospective study validated three diagnostic algorithms (AG) against the presence of a culprit coronary artery upon cardiac catheterization. Two patient groups were enrolled in this study: those with verified prehospital ST-elevation myocardial infarction (STEMI) activation (cases) and those with a prehospital impression of chest pain due to ACS (controls).
RESULTS: There were 500 records analyzed resulting in a case group with 151 patients and a control group with 349 patients. Sensitivities differed between AGs (AG1=0.69 vs AG2=0.68 vs AG3=0.62), with statistical differences in sensitivity found when comparing AG1 to AG3 and AG1 to AG2. Specificities also differed between AGs (AG1=0.89 vs AG2=0.91 vs AG3=0.95), with AG1 and AG2 significantly less specific than AG3.
CONCLUSIONS: STEMI diagnostic algorithms vary in regards to their validity in identifying patients with culprit artery lesions. This suggests that systems could apply more sensitive or specific algorithms depending on the needs in their community.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Electrocardiography; Emergency medical services; Myocardial infarction; Validation studies

Mesh:

Year:  2016        PMID: 27181187      PMCID: PMC5613667          DOI: 10.1016/j.jelectrocard.2016.04.010

Source DB:  PubMed          Journal:  J Electrocardiol        ISSN: 0022-0736            Impact factor:   1.438


  17 in total

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  16 in total

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6.  Long-term clinical outcomes and prognoses of ST-segment elevation myocardial infarction patients who present with tombstoning ST-segment elevation.

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9.  Reducing Delay to Treatment of ST-Elevation Myocardial Infarction With Software Electrocardiographic Interpretation and Transmission (SCINET).

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