Browsing by Author "Le, Viet T"

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    Feasibility of combining serial smartphone single-lead electrocardiograms for the diagnosis of ST-elevation myocardial infarction.
    (American heart journal, 2019-12-27) Muhlestein, Joseph Boone; Anderson, Jeffrey L; Bethea, Charles F; Severance, Harry W; Mentz, Robert J; Barsness, Gregory W; Barbagelata, Alejandro; Albert, David; Le, Viet T; Bunch, T Jared; Yanowitz, Frank; May, Heidi T; Chisum, Benjamin; Ronnow, Brianna S; Muhlestein, Joseph Brent; Duke University Cooperative Cardiovascular Society (DUCCS) investigators
    BACKGROUND:The rate-limiting step in STEMI diagnosis often is the availability of a 12-lead electrocardiogram (ECG) and its interpretation. The potential may exist to speed the availability of 12-lead ECG information by using commonly available mobile technologies. We sought to test whether combining serial smartphone single-lead ECGs to create a virtual 12-lead ECG can accurately diagnose STEMI. METHODS:Consenting patients presenting with symptoms consistent with a possible STEMI had contemporaneous standard 12-lead and smartphone '12-lead equivalent' ECG (produced by electronically combining serial single-lead ECGs) recordings obtained. Matched ECGs were evaluated qualitatively and quantitatively by a panel of blinded readers and classified as STEMI/STEMI equivalent (LBBB), Not-STEMI, or uninterpretable. Interpretable ECG pairs were graded as showing good, fair, or poor correlation. RESULTS:Two hundred four subjects (age = 60 years, males = 57%, STEMI activation = 45%) were enrolled from 5 international sites. Smartphone ECG quality was graded as good in 151 (74.0%), fair in 32 (15.7%), poor in 8 (3.9%), and uninterpretable in 13 (6.4%). A STEMI/STEMI equivalent diagnosis was identified by standard 12-lead ECG in 57/204 (27.9%) recordings. For all interpretable pairs of smartphone ECGs compared with standard ECGs (n = 190), the sensitivity, specificity, and positive and negative predictive values for STEMI/STEMI equivalent by smartphone were 0.89, 0.84, 0.70 and 0.95, respectively. CONCLUSIONS:A '12-lead equivalent' ECG obtained from multiple serial single-lead ECGs from a smartphone can identify STEMI with good correlation to a standard 12-lead ECG. This technology holds promise to improve outcomes in STEMI by enhancing the reach and speed of diagnosis and thereby early treatment.
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    Smartphone 12-lead ECG-Exciting but must be handled with care.
    (American heart journal, 2020-08) Muhlestein, Joseph Brent; Muhlestein, Joseph Boone; Anderson, Jeffrey L; Bethea, Charles F; Severance, Harry W; Mentz, Robert J; Barsness, Gregory W; Barbagelata, Alejandro; Albert, David; Le, Viet T; Bunch, T Jared; Yanowitz, Frank; May, Heidi T; Chisum, Benjamin; Ronnow, Brianna S; Duke University Cooperative Cardiovascular Society (DUCCS) investigators
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    Smartphone ECG for evaluation of ST-segment elevation myocardial infarction (STEMI): Design of the ST LEUIS International Multicenter Study.
    (Journal of electrocardiology, 2018-03) Barbagelata, Alejandro; Bethea, Charles F; Severance, Harry W; Mentz, Robert J; Albert, David; Barsness, Gregory W; Le, Viet T; Anderson, Jeffrey L; Bunch, T Jared; Yanowitz, Frank; Chisum, Benjamin; Ronnow, Brianna S; Muhlestein, Joseph B
    In patients experiencing an ST-elevation myocardial infarction (STEMI), rapid diagnosis and immediate access to reperfusion therapy leads to optimal clinical outcomes. The rate-limiting step in STEMI diagnosis is the availability and performance of a 12-lead ECG. Recent technology has provided access to a reliable means of obtaining an ECG reading through a smartphone application (app) that works with an attachment providing all 12-leads of a standard ECG system. The ST LEUIS study was designed to validate the smartphone ECG app and its ability to accurately assess the presence or absence of STEMI in patients presenting with chest pain compared with the gold standard 12-lead ECG. We aimed to support the diagnostic utility of smartphone technology to provide a timely diagnosis and treatment of STEMI. The study will take place over 12months at five institutions. Approximately 60 patients will be enrolled per institution, for a total recruitment of 300 patients.