Assessment of a novel device‐based diagnostic algorithm to monitor patient status in moderate‐to‐severe heart failure: rationale and design of the CLEPSYDRA study

Monitoring systems integrated into electronic implantable devices for heart failure (HF) have significantly expanded the possibility of obtaining diagnostic information and can be used to enhance patient follow‐up. The ability to obtain advance warning of worsening HF is currently being explored using a variety of diagnostic parameters. A novel device‐based algorithm, physiological diagnostic (PhD), combines data from minute ventilation and accelerometer sensors to provide an indicator of the overall status of HF patients and detect clinically relevant acute HF events. The objective of this study was to evaluate the effectiveness of the PhD algorithm for detecting HF events in patients with HF.

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