Document Detail


Dynamic tracking of ischemia in the surface electrocardiogram.
MedLine Citation:
PMID:  17993319     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
BACKGROUND: Accurate detection of the earliest signs of ischemia on the surface electrocardiogram (ECG) is essential for timely diagnosis and management of potentially life-threatening ischemic events. Yet, accuracy of ischemia analysis in ECG monitors remains suboptimal because of a number of confounding factors, including changes in body position and other artifacts. Hence, the goals of this study were (1) to examine the duration and time course of ischemic events and (2) to compare ECG changes caused by "true" ischemic events with those caused by changes in body position. Continuous, 12-lead Holter ECGs obtained from patients who presented to the emergency department with chest pain and enrolled in the Ischemia Monitoring and Mapping in the Emergency Department in Appropriate Triage and Evaluation of Acute Ischemic Myocardium study were analyzed. Holter recordings were initiated within the first 40 minutes after patients' arrival to the emergency department. Here we present preliminary results.
METHODS: Twelve patients (age, 59 +/- 16 years; 5 women, 2 with a final diagnosis of non-ST-segment elevation myocardial infarction, 4 with unstable angina, and 6 with other cardiovascular diseases), in whom ischemic ST deviations were identified on Holter data, underwent 4 consecutive, 2-minute recordings in the following body positions: (1) supine, (2) on the left side, (3) on the right side, and (4) sitting (or standing) upright. After baseline correction, beat-to-beat changes in QRS and ST-T segments were examined in all 8 channels and the root-mean-square curve by using an adaptive algorithm that computes the slope, amplitude, duration, area, and the Karhunen-Loève-derived representation of the corresponding segment. To prevent possible biases toward patients with more frequent ischemic events, a single index event was chosen for analysis in each patient. There were 3 ST-elevation events and 9 ST-depression events; these events reached the maximum ST deviation 11 +/- 8 hours (mean +/- SD) after the beginning of the recording.
RESULTS AND CONCLUSIONS: In most patients with transient myocardial ischemia, the microvolt-level, subthreshold deviation of the ST segment developed gradually, over 15 to 20 minutes, until it reached the maximum, superthreshold level. Despite the different ischemia localizations, the root-mean-square curve allowed accurate detection of significant changes in the ST segment in the studied group (Friedman analysis of variance for repeated measurements over a 1-hour interval). Changes in body position could be identified by tracking dynamics of the QRS pattern/axis. Adaptive algorithms for tracking of the ST dynamics with simultaneous tracking of the patterns of QRS complexes to discriminate the true and "false"-positive events are presented and discussed.
Authors:
Vladimir Shusterman; Anna Goldberg; Daniel M Schindler; Kirsten E Fleischmann; Robert L Lux; Barbara J Drew
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural    
Journal Detail:
Title:  Journal of electrocardiology     Volume:  40     ISSN:  1532-8430     ISO Abbreviation:  J Electrocardiol     Publication Date:    2007 Nov-Dec
Date Detail:
Created Date:  2007-11-12     Completed Date:  2008-01-07     Revised Date:  2013-06-06    
Medline Journal Info:
Nlm Unique ID:  0153605     Medline TA:  J Electrocardiol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  S179-86     Citation Subset:  IM    
Affiliation:
Cardiovascular Institute, University of Pittsburgh, Pittsburgh, PA, USA. shustermanv@upmc.edu
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MeSH Terms
Descriptor/Qualifier:
Artifacts*
Electrocardiography, Ambulatory / methods*
Female
Humans
Male
Middle Aged
Movement
Myocardial Ischemia / diagnosis*
Posture*
Reproducibility of Results
Sensitivity and Specificity
Grant Support
ID/Acronym/Agency:
1R43HL077116/HL/NHLBI NIH HHS; R01 HL69753/HL/NHLBI NIH HHS; R43 HL077116-01/HL/NHLBI NIH HHS; R44 HL077116-02/HL/NHLBI NIH HHS
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