Analysis of 12-lead T-wave morphology for risk stratification after myocardial infarction. Zabel, M., Acar, B., Klingenheben, T., Franz, M., Hohnloser, S., & Malik, M. j-C, 102:1252–1207, September, 2000. bibtex @Article{RSM:Zab2000,
author = "M. Zabel and B. Acar and T. Klingenheben and M.R.
Franz and S.H. Hohnloser and M. Malik",
title = "Analysis of 12-lead {T}-wave morphology for risk
stratification after myocardial infarction",
journal = j-C,
year = "2000",
month = sep,
volume = "102",
pages = "1252--1207",
robnote = "BACKGROUND: The aim of the present study was to assess
the prognostic value of novel T-wave morphology
descriptors derived from resting 12-lead ECGs. METHODS
AND RESULTS: In 280 consecutive post-MI patients, a
12-lead ECG was recorded before discharge, optically
scanned, and digitized. For the present study, 5 T-wave
morphology descriptors were automatically calculated
after singular value decomposition of the ECG signal.
The total cosine R-to-T (TCRT [describes the global
angle between repolarization and depolarization
wavefront]) and the T-wave loop dispersion were
univariately associated (P:=0.0002 and P:<0.002,
respectively, U: test) with 27 prospectively defined
clinical events in 261 patients (mean follow-up 32+/-10
months). Kaplan-Meier event probability curves for
strata above and below the median confirmed the strong
risk discrimination by TCRT and T-wave loop dispersion
(P:<0.003 and P:<0.001, respectively, log-rank test).
On Cox regression analysis, with the entering of age,
left ventricular ejection fraction, heart rate, QRS
width, reperfusion therapy, beta-adrenergic-blocker
treatment, and standard deviation of R-R intervals on
24-hour Holter monitoring, TCRT (P:<0.03) yielded
independent predictive value, whereas T-wave loop
dispersion was of borderline independence (P:=0.064).
Heart rate (P:<0.02), left ventricular ejection
fraction (P:<0.02), and reperfusion therapy (P:<0.02)
also remained in the final model. CONCLUSIONS:
Computerized T-wave morphology analysis of the 12-lead
resting ECG permits independent assessment of post-MI
risk and an improved risk stratification when combined
with other risk markers.",
bibdate = "Tue May 1 16:27:20 2001",
}
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METHODS AND RESULTS: In 280 consecutive post-MI patients, a 12-lead ECG was recorded before discharge, optically scanned, and digitized. For the present study, 5 T-wave morphology descriptors were automatically calculated after singular value decomposition of the ECG signal. The total cosine R-to-T (TCRT [describes the global angle between repolarization and depolarization wavefront]) and the T-wave loop dispersion were univariately associated (P:=0.0002 and P:<0.002, respectively, U: test) with 27 prospectively defined clinical events in 261 patients (mean follow-up 32+/-10 months). Kaplan-Meier event probability curves for strata above and below the median confirmed the strong risk discrimination by TCRT and T-wave loop dispersion (P:<0.003 and P:<0.001, respectively, log-rank test). On Cox regression analysis, with the entering of age, left ventricular ejection fraction, heart rate, QRS width, reperfusion therapy, beta-adrenergic-blocker treatment, and standard deviation of R-R intervals on 24-hour Holter monitoring, TCRT (P:<0.03) yielded independent predictive value, whereas T-wave loop dispersion was of borderline independence (P:=0.064). Heart rate (P:<0.02), left ventricular ejection fraction (P:<0.02), and reperfusion therapy (P:<0.02) also remained in the final model. CONCLUSIONS: Computerized T-wave morphology analysis of the 12-lead resting ECG permits independent assessment of post-MI risk and an improved risk stratification when combined with other risk markers.","bibdate":"Tue May 1 16:27:20 2001","bibtex":"@Article{RSM:Zab2000,\n author = \"M. Zabel and B. Acar and T. Klingenheben and M.R.\n Franz and S.H. Hohnloser and M. Malik\",\n title = \"Analysis of 12-lead {T}-wave morphology for risk\n stratification after myocardial infarction\",\n journal = j-C,\n year = \"2000\",\n month = sep,\n volume = \"102\",\n pages = \"1252--1207\",\n robnote = \"BACKGROUND: The aim of the present study was to assess\n the prognostic value of novel T-wave morphology\n descriptors derived from resting 12-lead ECGs. METHODS\n AND RESULTS: In 280 consecutive post-MI patients, a\n 12-lead ECG was recorded before discharge, optically\n scanned, and digitized. For the present study, 5 T-wave\n morphology descriptors were automatically calculated\n after singular value decomposition of the ECG signal.\n The total cosine R-to-T (TCRT [describes the global\n angle between repolarization and depolarization\n wavefront]) and the T-wave loop dispersion were\n univariately associated (P:=0.0002 and P:<0.002,\n respectively, U: test) with 27 prospectively defined\n clinical events in 261 patients (mean follow-up 32+/-10\n months). Kaplan-Meier event probability curves for\n strata above and below the median confirmed the strong\n risk discrimination by TCRT and T-wave loop dispersion\n (P:<0.003 and P:<0.001, respectively, log-rank test).\n On Cox regression analysis, with the entering of age,\n left ventricular ejection fraction, heart rate, QRS\n width, reperfusion therapy, beta-adrenergic-blocker\n treatment, and standard deviation of R-R intervals on\n 24-hour Holter monitoring, TCRT (P:<0.03) yielded\n independent predictive value, whereas T-wave loop\n dispersion was of borderline independence (P:=0.064).\n Heart rate (P:<0.02), left ventricular ejection\n fraction (P:<0.02), and reperfusion therapy (P:<0.02)\n also remained in the final model. CONCLUSIONS:\n Computerized T-wave morphology analysis of the 12-lead\n resting ECG permits independent assessment of post-MI\n risk and an improved risk stratification when combined\n with other risk markers.\",\n bibdate = \"Tue May 1 16:27:20 2001\",\n}\n\n","author_short":["Zabel, M.","Acar, B.","Klingenheben, T.","Franz, M.","Hohnloser, S.","Malik, M."],"key":"RSM:Zab2000","id":"RSM:Zab2000","bibbaseid":"zabel-acar-klingenheben-franz-hohnloser-malik-analysisof12leadtwavemorphologyforriskstratificationaftermyocardialinfarction-2000","role":"author","urls":{},"metadata":{"authorlinks":{}},"downloads":0,"html":""},"search_terms":["analysis","lead","wave","morphology","risk","stratification","myocardial","infarction","zabel","acar","klingenheben","franz","hohnloser","malik"],"keywords":[],"authorIDs":[],"dataSources":["5HG3Kp8zRwDd7FotB"]}