Vol 21, No 4 (2014)
Original articles
Published online: 2014-08-29

open access

Page views 2442
Article views/downloads 1685
Get Citation

Connect on Social Media

Connect on Social Media

Trying to predict the unpredictable: Variations in device-based daily monitored diagnostic parameters can predict malignant arrhythmic events in patients undergoing cardiac resynchronization therapy

Ewa Jędrzejczyk-Patej, Oskar Kowalski, Beata Średniawa, Patrycja Pruszkowska, Adam Sokal, Mariola Szulik, Michał Mazurek, Jacek Kowalczyk, Zbigniew Kalarus, Radosław Lenarczyk
DOI: 10.5603/CJ.a2014.0022
Cardiol J 2014;21(4):405-412.


Background: The aim of this study was to evaluate the value of device-based diagnostic parameters in predicting ventricular arrhythmias in cardiac resynchronization therapy (CRT) recipients.

Methods: Ninety-six CRT-D patients participating in TRUST CRT Trial were analyzed. The inclusion criteria were: heart failure in NYHA ≥ 3 class, QRS ≥ 120 ms, LVEF £ 35% and significant mechanical dyssynchrony. Patients were divided into those with (n = 31, 92 arrhyth­mias) and without (n = 65) appropriate ICD interventions within follow-up of 12.03 ± 6.7 months. Daily monitored device-based parameters: heart rate (HR), thoracic impedance (TI), HR variability and physical activity were analyzed in 4 time windows: within 10, 7, 3 days and 1 day before appropriate ICD interventions.

Results: A consistent pattern of changes in three monitored factors was observed prior to ar­rhythmia: 1) a gradual increase of day HR (from 103.43% of reference within 10-day window to 105.55% one day before, all p < 0.05 vs. reference); 2) variations in night HR (104.75% in 3 days, 107.65% one day before, all p < 0.05) and 3) TI decrease (from 97.8% in 10 days to 96.81% one day before, all p < 0.05). The combination of three parameters had better pre­dictive value, which improved further after exclusion of patients with atrial fibrillation (AF). The predictive model combining HR and TI together with LVEF and NT-proBNP was more prognostic than the model involving LVEF and NT-proBNP alone (difference in AUC 0.05, 95% CI 0.0005–0.09, p = 0.04).

Conclusions: Daily device-monitored parameters show significant variations prior to ven­tricular arrhythmia. Combination of multiple parameters improves arrhythmia predictive performance by its additive value to baseline risk factors, while presence of AF diminishes it.