Remotely Monitored Cardiac Implantable Electronic Device Data Predict All‐Cause and Cardiovascular Unplanned Hospitalization

Author:

Sammut‐Powell Camilla1,Taylor Joanne K.1,Motwani Manish23,Leonard Catherine M.4,Martin Glen P.1ORCID,Ahmed Fozia Zahir23ORCID

Affiliation:

1. Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health University of Manchester, Manchester Academic Health Science Centre Manchester United Kingdom

2. Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health University of Manchester United Kingdom

3. Department of Cardiology Manchester University Hospitals National Health Service Foundation Trust Manchester United Kingdom

4. Division of Health Economics Medtronic Ltd Watford United Kingdom

Abstract

Background Unplanned hospitalizations are common in patients with cardiovascular disease. The “Triage Heart Failure Risk Status” (Triage‐HFRS) algorithm in patients with cardiac implantable electronic devices uses data from up to 9 device‐derived physiological parameters to stratify patients as low/medium/high risk of 30‐day heart failure (HF) hospitalization, but its use to predict all‐cause hospitalization has not been explored. We examined the association between Triage‐HFRS and risk of all‐cause, cardiovascular, or HF hospitalization. Methods and Results A prospective observational study of 435 adults (including patients with and without HF) with a Medtronic Triage‐HFRS–enabled cardiac implantable electronic device (cardiac resynchronization therapy device, implantable cardioverter‐defibrillator, or pacemaker). Cox proportional hazards models explored association between Triage‐HFRS and time to hospitalization; a frailty term at the patient level accounted for repeated measures. A total of 274 of 435 patients (63.0%) transmitted ≥1 high HFRS transmission before or during the study period. The remaining 161 patients never transmitted a high HFRS. A total of 153 (32.9%) patients had ≥1 unplanned hospitalization during the study period, totaling 356 nonelective hospitalizations. A high HFRS conferred a 37.3% sensitivity and an 86.2% specificity for 30‐day all‐cause hospitalization; and for HF hospitalizations, these numbers were 62.5% and 85.6%, respectively. Compared with a low Triage‐HFRS, a high HFRS conferred a 4.2 relative risk of 30‐day all‐cause hospitalization (8.5% versus 2.0%), a 5.0 relative risk of 30‐day cardiovascular hospitalization (3.6% versus 0.7%), and a 7.7 relative risk of 30‐day HF hospitalization (2.0% versus 0.3%). Conclusions In patients with cardiac implantable electronic devices, remotely monitored Triage‐HFRS data discriminated between patients at high and low risk of all‐cause hospitalization (cardiovascular or noncardiovascular) in real time.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine

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