Heart Failure Detector Circuit Adapting to Comorbidities
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Solution Overview
Problem
Current diagnostic methods for heart failure with preserved ejection fraction (HFpEF) are challenging to produce consistent and reliable outcomes, often leading to underdiagnosis or misdiagnosis, particularly due to the complexity of pathophysiological presentations and the limitations of conventional echocardiography and biomarker tests.
Innovation Solution
A medical-device system that includes a storage device storing correspondences between heart failure comorbidities and detection settings, and a heart failure detector circuit that receives physiological and comorbidity information to determine a detection setting and detect heart failure status, allowing for individualized management and therapy adjustments based on patient-specific conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional echocardiography and biomarker tests are used for HFpEF diagnosis, then diagnostic procedures are standardized and easy to perform, but diagnostic accuracy and reliability are insufficient leading to underdiagnosis or misdiagnosis
Solution Approach 1:
The patent segments the diagnostic process by creating separate detection configurations tailored to specific comorbidities (e.g., one configuration for patients with diabetes, another for patients with kidney disease). Each configuration uses a subset of physiological parameters most relevant to that comorbidity, allowing for more accurate diagnosis without requiring all possible measurements in every case.
Solution Approach 2:
The patent implements dynamic adaptation of detection algorithms based on patient-specific comorbidities. The system automatically selects and adjusts detection parameters, thresholds, and weighting factors according to the patient's comorbidity profile, transforming a static diagnostic approach into a dynamic one that adapts to individual patient needs.
2Reliability
If frequent monitoring is performed to improve early detection of heart failure decompensation, then patient outcomes improve, but device battery consumption increases
Solution Approach 1:
The patent implements periodic monitoring with variable intervals based on patient risk stratification. High-risk patients with multiple comorbidities undergo more frequent assessment, while lower-risk patients are monitored less frequently. The system periodically re-evaluates risk status and adjusts monitoring frequency accordingly, optimizing battery usage while maintaining detection reliability.
Solution Approach 2:
The patent applies different monitoring intensities to different physiological parameters based on their relevance to the patient's specific comorbidities. For example, a patient with diabetes may have glucose levels monitored more frequently, while a patient with heart disease may have cardiac parameters monitored more intensively. This localized quality approach reduces overall energy consumption while maintaining detection effectiveness.
3Reliability
If detection algorithms are made highly sensitive to detect all potential heart failure cases, then sensitivity improves, but false positive detections increase
Solution Approach 1:
The patent changes detection parameters (thresholds, weighting factors, combination rules) based on the patient's comorbidity profile. For example, patients with chronic kidney disease may have different baseline values and variability patterns compared to patients with diabetes, so the system adjusts detection thresholds and parameter weights accordingly. This maintains high sensitivity for detecting true cases while reducing false positives by accounting for comorbidity-specific physiological variations.
Data Source
AI summary
Systems and methods for monitoring heart failure status in a patient are discussed. A medical-device system includes a storage device to store a correspondence between one or more heart failure comorbidities and corresponding one or more heart failure detection settings, and a heart failure detector circuit to detect a heart failure status of the patient. The heart failure detector circuit receives physiological information and heart failure comorbidity information of the patient, determines a detection setting for the patient based on the received comorbidity information and the stored correspondence, and detect a heart failure status using the received physiological information and the identified detection setting. A therapy circuit can deliver or adjust a heart failure therapy in response to the detected heart failure status.