Biotronik’s cardiac Home Monitoring system contributes in earlier detection of cardiovascular events

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Results from the Home-CARE (Home monitoring in cardiac resynchronisation therapy) clinical study showed that combining several physiological parameters into a single algorithm may help to improve the early detection of cardiovascular events. Data has been published in the European Journal of Heart Failure.

Home-CARE was a prospective, non-randomised, multicenter, international clinical trial which enrolled 515 patients. The objective of this study was to develop an automated multiparameter algorithm that would use daily Biotronik Home Monitoring data to predict death and hospitalisation for cardiovascular reasons dynamically. Seven physiological parameters (e.g., mean heart rate, patient activity, heart rate variability) were selected to better analyse the cardiovascular status of heart failure patients. The combination of all parameters resulted in 65.4% sensitivity in detecting cardiovascular hospitalisations and deaths with 99.5% specificity.


“We believe that combining several parameters into a single algorithm may improve the overall ability to risk-stratify patients with implanted cardiac devices. This unique, predictive approach was developed by Biotronik to allow for earlier detection of cardiovascular events based on data collected for analysis by Biotronik Home Monitoring,” commented Stefan Sack, coordinating clinical investigator, Schwabing Clinic, Munich, Germany. “The Home-CARE results also show that adding new physiological parameters increase the power of the cardiovascular predictor.”


Biotronik Home Monitoring uniquely offers reliable daily transmissions and real-time remote monitoring of device diagnostic data, which provides several research and development opportunities. These opportunities include the ability to design and progressively optimise increasingly sophisticated multiparameter diagnostic algorithms, including new sensor technologies, and to prospectively evaluate their impact on patient outcomes, clinical administration and health economic burden.

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