Cardiac rhythm management systems and methods predicting congestive heart failure status
First Claim
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1. A cardiac rhythm management system comprising:
- an implantable cardiac rhythm management device comprising;
at least one congestive heart failure (CHF) physiologic parameter input device to provide CHF physiologic information about a subject;
a processor circuit, comprising at least one processor input coupled to the at least one CHF physiologic parameter input device to receive a plurality of different CHF physiologic parameters, the processor comprising;
weighting factors, stored in a memory, the weighting factors corresponding to each of the received CHF physiologic parameters; and
a CHF status change probability indicator, to predict a likelihood of a subsequent change in a CHF status of a subject using the plurality of different received CHF physiologic parameters and corresponding weighting factors.
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Abstract
This document describes, among other things, systems, devices, and methods for predicting how the status of the patient'"'"'s congestive heart failure (CHF) condition will progress in the future. In one example, a therapy is provided or adjusted at least in part in response to the prediction.
448 Citations
59 Claims
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1. A cardiac rhythm management system comprising:
an implantable cardiac rhythm management device comprising;
at least one congestive heart failure (CHF) physiologic parameter input device to provide CHF physiologic information about a subject;
a processor circuit, comprising at least one processor input coupled to the at least one CHF physiologic parameter input device to receive a plurality of different CHF physiologic parameters, the processor comprising;
weighting factors, stored in a memory, the weighting factors corresponding to each of the received CHF physiologic parameters; and
a CHF status change probability indicator, to predict a likelihood of a subsequent change in a CHF status of a subject using the plurality of different received CHF physiologic parameters and corresponding weighting factors. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29)
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30. A cardiac rhythm management system comprising:
an implantable cardiac rhythm management device comprising;
means for providing at least one congestive heart failure (CHF) physiologic parameter about a subject;
a processor circuit, comprising at least one processor input coupled to the at least one CHF physiologic parameter input device to receive a plurality of different CHF physiologic parameters, the processor comprising;
weighting factors, stored in a memory, the weighting factors corresponding to each of the received CHF physiologic parameters; and
a CHF status change probability indicator, to predict a likelihood of a subsequent change in a CHF status of a subject using a probability computed using the plurality of different received CHF physiologic parameters and corresponding weighting factors.
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31. A cardiac rhythm management system comprising:
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an implantable cardiac rhythm management device comprising;
at least one congestive heart failure (CHF) conditioning event input device to provide a CHF conditioning event statistically associated with the occurrence of a CHF status change in a subject;
a processor circuit, comprising at least one processor input coupled to the at least one CHF conditioning event input device to receive the CHF conditioning event, the processor comprising an indicator predicting the occurrence of a CHF status change within a specified prediction time period if an estimated CHF status change probability exceeds a specified threshold value, wherein the estimated CHF status change probability is computed from a conditional CHF status change probability, associated with the conditioning event, that is derived from past observations of instances in which the conditioning event occurs alone or together with a CHF status change within a specified time period. - View Dependent Claims (32, 33, 34)
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35. A method comprising:
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obtaining a plurality of different congestive heart failure (CHF) physiologic parameters about a subject for predicting a CHF status change;
weighting each of the CHF physiologic parameters to provide corresponding weighted CHF physiologic parameters;
computing a CHF status change probability using the weighted CHF physiologic parameters; and
using the computed CHF status change probability in predicting whether the subject'"'"'s CHF status will undergo a significant change within a specified subsequent time period. - View Dependent Claims (36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59)
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Specification