Cardiac Pacemakers, Inc.

Musc Foundation for Research Development

Milan Seth

Craig Michael Stolen

David L Perschbacher

Arjun D Sharma

Paul W Jones

Kira Q Stolen

Francis G Spinale

Timothy Edward Meyer

Nicholas David Wold

Embodiments of the disclosure are related to systems and methods for utilizing biomarker panel data with respect to medical devices and methods, amongst other things. In an embodiment, the disclosure can include a method of predicting the likelihood of response to CRT therapy. The method can include quantifying levels of one or more biomarkers in a biological sample of a patient, analyzing the quantified levels to determine response to CRT therapy, wherein a panel of biomarkers includes at least two selected from the group consisting of CRP, SGP-130, sIL-2R, sTNFR-II, IFNg, BNP, sST2, MMP-2, MMP-9, TIMP-1, TIMP-2, TIMP-4. Other embodiments are also included herein.

Systems and methods using biomarker panel data

A heart rate variability or heart rate variation can be identified using sensed and/or paced heart beats. One or more patient metrics, such as a variability index or a variation index, can correspond to the identified heart rate variability or heart rate variation. The patient metrics can be used to identify a need for a particular therapy, such as a rate-responsive pacing therapy. The patient metrics can be used to identify patients at an elevated risk of death. Methods and systems to identify therapy indications or at-risk patients are provided. In an example, a patient risk profile can be adjusted, such as in response to an identified patient heart rate variability or heart rate variation. In an example, a rate-responsive pacing mode can be used to adjust the patient risk profile.

Methods and systems for identifying and using heart rate variability and heart rate variation

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Minneapolis, MN, United States of America

Milan Seth