Schoenenberger, Andreas; Schär, Olivia; Kobza, Richard; Erne, Paul (2014). Prediction of arrhythmic events by Wedensky modulation in patients with coronary artery disease. Swiss medical weekly, 144, w13929. EMH Schweizerischer Ärzteverlag 10.4414/smw.2014.13929
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PRINCIPLES
Prediction of arrhythmic events (AEs) has gained importance with the availability of implantable cardioverter-defibrillators (ICDs), but is still imprecise. This study evaluated the innovative Wedensky modulation index (WMI) as predictor of AEs.
METHODS
In this prospective cohort, 179 patients with coronary artery disease (CAD) referred for AE risk assessment underwent baseline evaluation including measurement of R-/T-wave WMI (WMI(RT)) and left ventricular ejection fraction (LVEF). Two endpoints were assessed 3 years after the baseline evaluation: sudden cardiac death or appropriate ICD event (EP1) and any cardiac death or appropriate ICD event (EP2). Associations between baseline predictors (WMI(RT) and LVEF) and endpoints were evaluated in regression models.
RESULTS
Only three patients were lost to follow-up. EP1 and EP2 occurred in 24 and 27 patients, respectively. WMI(RT) (odds ratio [OR] per 1 point increase for EP1 20.1, 95% confidence interval [CI] 1.8-221.4, p = 0.014, and for EP2 73.3, 95% CI 6.6-817.7, p <0.001) and LVEF (OR per 1% increase for EP1 0.94, 95% CI 0.90-0.99, p = 0.013, and for EP2 0.93, 95% CI 0.89-0.97, p = 0.002) were significantly associated with both endpoints. In bivariable regression controlled for LVEF, WMI(RT) was independently associated with EP1 (p = 0.047) and EP2 (p = 0.007). The combination of WMI(RT) ≥0.60 and LVEF ≤30% resulted in a positive predictive value of 36% for EP1 and 50% for EP2.
CONCLUSIONS
WMI(RT) is a significant predictor of AEs independent of LVEF and has potential to improve AE risk prediction in CAD patients. However, WMI(RT) should be evaluated in larger and independent samples before recommendations for clinical routine can be made.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
04 Faculty of Medicine > Department of General Internal Medicine (DAIM) > Geriatric Clinic |
UniBE Contributor: |
Schoenenberger, Andreas |
Subjects: |
600 Technology > 610 Medicine & health |
ISSN: |
1424-7860 |
Publisher: |
EMH Schweizerischer Ärzteverlag |
Language: |
English |
Submitter: |
Rebecca Rufer |
Date Deposited: |
29 Apr 2015 12:28 |
Last Modified: |
05 Dec 2022 14:45 |
Publisher DOI: |
10.4414/smw.2014.13929 |
PubMed ID: |
24554492 |
BORIS DOI: |
10.7892/boris.67577 |
URI: |
https://boris.unibe.ch/id/eprint/67577 |