Aims: Monitoring early signs of clinical deterioration could allow physicians to adjust medical treatment for patients at risk of acute heart failure decompensation. To date, several strategies using different surrogate measures of clinical status emerged, but none has yet been proven to predict clinical events. We hypothesized that the Physiological Diagnostic feature, which combines data from minute ventilation and physical activity sensors, predicts heart failure events in patients implanted with cardiac resynchronization therapy with defibrillation (CRT-D) devices.
Methods and results: The Clinical Evaluation of the Physiological Diagnostic feature in the PARADYM CRT device (CLEPSYDRA) trial is a multicentre, prospective, non-randomized, double-blind study comprising 521 CRT-D patients with heart failure [67.4 ± 10.1 years (mean ± SD), 82% male, New York Heart Association class III/IV 85.0%/6.7%, QRS 155.3 ± 26.6 ms, left ventricular ejection fraction 25.7 ± 7.7%]. The objective of the study was the sensitivity and false positive rate of the Physiological Diagnostic algorithm to predict heart failure events within the following month. After a mean follow-up of 17.0 ± 8.7 months, 130 (25.6%) patients experienced a heart failure event. The sensitivity of the algorithm to predict an event was 34% and the false positive rate was 2.4 per patient-year.
Conclusion: Thirty-four per cent of heart failure events occurring within a month were predicted by the Physiological Diagnostic algorithm, and 2.4 alerts per patient per year were not followed by an heart failure event within the subsequent month.
Keywords: Activity; Cardiac resynchronization therapy; Heart failure monitoring; Minute ventilation; Predictive algorithm.
© 2014 The Authors. European Journal of Heart Failure © 2014 European Society of Cardiology.