Heart failure detection and risk stratification system

Abstract

Devices and methods for detecting heart failure (HF) events or identifying patient at elevated risk of developing future HF events are described. A medical device can detect contextual condition associated with a patient, such as an environmental context or a physiologic context, sense a heart sound signal, and perform multiple measurements of heart sound features in response to the detected patient contextual condition meeting specified criterion. The contextual condition includes information correlating to or indicative of a change in metabolic demand of a patient. The medical device can use the physiologic signals to calculate one or more signal metrics indicative of diastolic function of the heart such as a trend of the heart sound features. The medical device can use the signal metrics to detect an HF event or to predict the likelihood of the patient later developing an HF event.

Description

[0001] Cross References to Related Applications

[0002] This application claims the benefit of priority under 35 U.S.C § 119(e) of U.S. Provisional Patent Application Serial No. 61 / 899,653, filed May 20, 2013, which is hereby incorporated by reference in its entirety. technical field

[0003] The present invention relates to medical devices and, more particularly, to systems, devices and methods for detecting and monitoring heart failure decompensation. Background technique

[0004] Congestive heart failure (CHF) is a major health problem and affects more than five million people in the United States alone. CHF is the loss of the heart's pumping energy, resulting in an inability to deliver enough blood to meet the demands of surrounding tissues. CHF patients typically have an enlarged heart due to weakened heart muscle, resulting in reduced contractility and poor blood output from the heart.

[0005] CHF is usually a chronic state, but can occur suddenly. It can affect t...

Examples

Embodiment Construction

[0037] Disclosed herein are systems, devices, and methods for detecting events indicative of exacerbation of HF, such as HF decompensation events, and / or for identifying patients at elevated risk of developing future events associated with exacerbation of HF . HF event detection or HF risk stratification may be performed using physiological signals, such as sensed from physiological sensors associated with an ambulatory medical device, such as an implanted cardiac device. The present inventors have recognized that contextual conditions, including environmental context and patient physiological context, can affect certain types of sensor signals in HF patients, including those indicative of the diastolic function of the heart. Thus, by selectively acquiring sensor signals according to patient context and analyzing signal metrics derived from the selectively acquired sensor signals, the present invention may provide methods for detecting HF events indicative of exacerbation of H...

[0001] Cross References to Related Applications

[0002] This application claims the benefit of priority under 35 U.S.C § 119(e) of U.S. Provisional Patent Application Serial No. 61 / 899,653, filed May 20, 2013, which is hereby incorporated by reference in its entirety. technical field

[0003] The present invention relates to medical devices and, more particularly, to systems, devices and methods for detecting and monitoring heart failure decompensation. Background technique

[0004] Congestive heart failure (CHF) is a major health problem and affects more than five million people in the United States alone. CHF is the loss of the heart's pumping energy, resulting in an inability to deliver enough blood to meet the demands of surrounding tissues. CHF patients typically have an enlarged heart due to weakened heart muscle, resulting in reduced contractility and poor blood output from the heart.

[0005] CHF is usually a chronic state, but can occur suddenly. It can affect t...

Examples

Embodiment Construction

[0037] Disclosed herein are systems, devices, and methods for detecting events indicative of exacerbation of HF, such as HF decompensation events, and / or for identifying patients at elevated risk of developing future events associated with exacerbation of HF . HF event detection or HF risk stratification may be performed using physiological signals, such as sensed from physiological sensors associated with an ambulatory medical device, such as an implanted cardiac device. The present inventors have recognized that contextual conditions, including environmental context and patient physiological context, can affect certain types of sensor signals in HF patients, including those indicative of the diastolic function of the heart. Thus, by selectively acquiring sensor signals according to patient context and analyzing signal metrics derived from the selectively acquired sensor signals, the present invention may provide methods for detecting HF events indicative of exacerbation of H...

Images