Literature DB >> 29129350

Evaluation of ECG algorithms designed to improve detect of transient myocardial ischemia to minimize false alarms in patients with suspected acute coronary syndrome.

Michele M Pelter1, Yuan Xu2, Richard Fidler2, Ran Xiao2, David W Mortara2, Hu Xiao2.   

Abstract

BACKGROUND: Patients hospitalized for suspected acute coronary syndrome (ACS) are at risk for transient myocardial ischemia. During the "rule-out" phase, continuous ECG ST-segment monitoring can identify transient myocardial ischemia, even when asymptomatic. However, current ST-segment monitoring software is vastly underutilized due to false positive alarms, with resultant alarm fatigue. Current ST algorithms may contribute to alarm fatigue because; (1) they are not designed with a delay (minutes), rather alarm to brief spikes (i.e., turning, heart rate changes), and (2) alarm to changes in a single ECG lead, rather than contiguous leads.
PURPOSE: This study was designed to determine sensitivity, and specificity, of ST algorithms when accounting for; ST magnitude (100μV vs 200μV), duration, and changes in contiguous ECG leads (i.e., aVL, I, - aVR, II, aVF, III; V1, V2, V3, V4, V5, V6, V6, I).
METHODS: This was a secondary analysis from the COMPARE Study, which assessed occurrence rates for transient myocardial ischemia in hospitalized patients with suspected ACS using 12-lead Holter. Transient myocardial ischemia was identified from Holter using >100μV ST-segment ↑ or ↓, in >1 ECG lead, >1min. Algorithms tested against Holter transient myocardial ischemia were done using the University of California San Francisco (UCSF) ECG algorithm and included: (1)100μV vs 200μV any lead during a 5-min ST average; (2)100μV vs 200μV any lead >5min, (3) 100μV vs 200μV any lead during a 5-min ST average in contiguous leads, and (4) 100μV vs 200μV>5min in contiguous leads (Table below).
RESULTS: In 361 patients; mean age 63+12years, 63% male, 56% prior CAD, 43 (11%) had transient myocardial ischemia. Of the 43 patients with transient myocardial ischemia, 17 (40%) had ST-segment elevation events, and 26 (60%) ST-segment depression events. A higher proportion of patients with ST segment depression has missed ischemic events. Table shows sensitivity and specificity for the four algorithms tested.
CONCLUSIONS: Sensitivity was highly variable, due to the ST threshold selected, with the 100μV measurement point being superior to the 200μV amplitude threshold. Of all the algorithms tested, there was moderate sensitivity and specificity (70% and 68%) using the 100μV ST-segment threshold, integrated ST-segment changes in contiguous leads during a 5-min average.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Acute Coronary Syndrome; Algorithm Development; Hospital ECG Monitoring; Myocardial Ischemia; ST Monitoring

Mesh:

Year:  2017        PMID: 29129350      PMCID: PMC5845470          DOI: 10.1016/j.jelectrocard.2017.10.005

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


  23 in total

1.  ACC/AHA Guidelines for Ambulatory Electrocardiography. A report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Committee to Revise the Guidelines for Ambulatory Electrocardiography). Developed in collaboration with the North American Society for Pacing and Electrophysiology.

Authors:  M H Crawford; S J Bernstein; P C Deedwania; J P DiMarco; K J Ferrick; A Garson; L A Green; H L Greene; M J Silka; P H Stone; C M Tracy; R J Gibbons; J S Alpert; K A Eagle; T J Gardner; G Gregoratos; R O Russell; T H Ryan; S C Smith
Journal:  J Am Coll Cardiol       Date:  1999-09       Impact factor: 24.094

2.  Frequency, duration, magnitude, and consequences of myocardial ischemia during intracoronary ultrasonography.

Authors:  B J Drew; M G Adams; D K McEldowney; K Y Lau; S F Wung; C L Wolfe; T A Ports; T M Chou
Journal:  Am Heart J       Date:  1997-09       Impact factor: 4.749

3.  Comparative accuracy of manual versus computerized electrocardiographic measurement of J-, ST- and T-wave deviations in patients with acute coronary syndrome.

Authors:  Markku J Eskola; Kjell C Nikus; Liisa-Maria Voipio-Pulkki; Heini Huhtala; Tiina Parviainen; Juha Lund; Tuomo Ilva; Pekka Porela
Journal:  Am J Cardiol       Date:  2005-10-14       Impact factor: 2.778

4.  Computer versus manual measurement of ST-segment deviation.

Authors:  M M Pelter; M G Adams; B J Drew
Journal:  J Electrocardiol       Date:  1996       Impact factor: 1.438

5.  National survey of cardiologists' standard of practice for continuous ST-segment monitoring.

Authors:  Kristin E Sandau; Sue Sendelbach; Joel Frederickson; Karen Doran
Journal:  Am J Crit Care       Date:  2010-03       Impact factor: 2.228

6.  Dynamic tracking of ischemia in the surface electrocardiogram.

Authors:  Vladimir Shusterman; Anna Goldberg; Daniel M Schindler; Kirsten E Fleischmann; Robert L Lux; Barbara J Drew
Journal:  J Electrocardiol       Date:  2007 Nov-Dec       Impact factor: 1.438

7.  Unplanned transfer from the telemetry unit to the intensive care unit in hospitalized patients with suspected acute coronary syndrome.

Authors:  Michele M Pelter; Denise Loranger; Teri M Kozik; Richard Fidler; Xiao Hu; Mary G Carey
Journal:  J Electrocardiol       Date:  2016-08-26       Impact factor: 1.438

8.  Validation of improved vessel-specific leads (VSLs) for detecting acute myocardial ischemia.

Authors:  John J Wang; Lawrence M Title; Thomas N Martin; Galen S Wagner; James W Warren; B Milan Horáček; John L Sapp
Journal:  J Electrocardiol       Date:  2015-08-21       Impact factor: 1.438

9.  A research method for detecting transient myocardial ischemia in patients with suspected acute coronary syndrome using continuous ST-segment analysis.

Authors:  Michele M Pelter; Teri M Kozik; Denise L Loranger; Mary G Carey
Journal:  J Vis Exp       Date:  2012-12-28       Impact factor: 1.355

10.  Insights into the problem of alarm fatigue with physiologic monitor devices: a comprehensive observational study of consecutive intensive care unit patients.

Authors:  Barbara J Drew; Patricia Harris; Jessica K Zègre-Hemsey; Tina Mammone; Daniel Schindler; Rebeca Salas-Boni; Yong Bai; Adelita Tinoco; Quan Ding; Xiao Hu
Journal:  PLoS One       Date:  2014-10-22       Impact factor: 3.240

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  2 in total

1.  Meta-Analysis of Dynamic Electrocardiography in the Diagnosis of Myocardial Ischemic Attack of Coronary Heart Disease.

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2.  Monitoring significant ST changes through deep learning.

Authors:  Ran Xiao; Yuan Xu; Michele M Pelter; Richard Fidler; Fabio Badilini; David W Mortara; Xiao Hu
Journal:  J Electrocardiol       Date:  2018-08-01       Impact factor: 1.438

  2 in total

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