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Prospective evaluation of integrated device diagnostics for heart failure management: results of the TRIAGE-HF study
Sean A Virani1, Vinod Sharma2, Mary McCann2
1University of British Columbia, 9th Floor-Cardiology, 2775 Laurel Street, Vancouver, BC, V5Z 1M9, Canada.
Insights
The TRIAGE-HF trial found that a high heart failure risk status (HFRS) from implantable devices accurately predicts worsening heart failure (HF) symptoms and behaviors, aiding remote monitoring.
Area of Science:
- Cardiology
- Biomedical Engineering
- Digital Health
Background:
- Heart failure (HF) management relies on monitoring patient status.
- Cardiac implantable electronic devices (CIEDs) offer continuous physiological data.
- Translating CIED data into actionable clinical insights for HF is an ongoing challenge.
Purpose of the Study:
- To correlate CIED-derived heart failure risk status (HFRS) with clinical signs, symptoms, and behaviors of worsening HF.
- To evaluate the predictive accuracy of HFRS for adverse HF events.
- To assess the utility of HFRS in ambulatory HF monitoring.
Main Methods:
- The TRIAGE-HF trial enrolled 100 patients with systolic HF and high-performance CIEDs.
- HFRS was calculated, highlighting abnormal device parameters (e.g., OptiVol index, activity levels, heart rate).
- Patients with high HFRS were contacted to assess symptoms and adherence to therapy and lifestyle recommendations.
Main Results:
- Twenty-four high HFRS occurrences were noted in 100 subjects over 8 months.
- Abnormal device parameters contributing to high HFRS included OptiVol index, low patient activity, and elevated night heart rate.
- High HFRS was associated with worsening HF symptoms in 63% of cases, rising to 83% when non-adherence was considered.
Conclusions:
- This is the first prospective study detailing abnormal device parameters contributing to high HFRS.
- HFRS demonstrates good predictive accuracy for patient-reported worsening HF status.
- HFRS shows promise as a valuable tool for ambulatory HF monitoring, potentially improving patient and health system outcomes.
Aims:
The primary aim of the TRIAGE-HF trial was to correlate cardiac implantable electronic device-generated heart failure risk status (HFRS) with signs, symptoms, and patient behaviours classically associated with worsening heart failure (HF).
Methods And Results:
TRIAGE-HF enrolled 100 subjects with systolic HF implanted with a Medtronic high-performance device and followed up at three Canadian HF centres. Study follow-up was up to 8 months. The HFRS assigned each subject's overall risk of HF hospitalization in the next 30 days and also highlighted abnormal device parameters contributing to a patient's risk status at the time of remote data transmission. Subjects with a high HFRS were contacted by telephone to assess symptoms, and compliance with prescribed therapies, nutrition, and exercise. Clinician-assessed risk and HFRS-calculated risk were correlated at both study baseline and exit. Twenty-four high HFRS occurrences were observed among 100 subjects. Device parameters associated with increased risk of HF hospitalization included OptiVol index (n = 20), followed by low patient activity (n = 18) and elevated night heart rate (n = 12). High HFRS was associated with symptoms of worsening HF in 63% of cases (n = 15) increasing to 83% of cases (n = 20) when non-compliance with pharmacological therapies and lifestyle was considered.
Conclusions:
TRIAGE-HF is the first study to provide prospective data on the distribution of abnormal device parameters contributing to high HFRS. High HFRS has good predictive accuracy for patient-reported signs, symptoms, and behaviours associated with worsening HF status. As such, HFRS may be a useful tool for ambulatory HF monitoring to improve both patient-centred and health system level outcomes.
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