Association of a device‐based remote management heart failure pathway with outcomes: TriageHF Plus real‐world evaluation

Author:

Ahmed Fozia Zahir12,Sammut‐Powell Camilla3,Martin Glen P.3,Callan Paul1,Cunnington Colin1,Kahn Matthew4,Kale Mita1,Weldon Toni5,Harwood Rachel67,Fullwood Catherine67,Gerritse Bart8,Lanctin David8,Soken Nelson8,Campbell Niall G.12,Taylor Joanne K.13

Affiliation:

1. Department of Cardiology Manchester University Hospitals NHS Foundation Trust Manchester UK

2. Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health The University of Manchester Manchester UK

3. Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health The University of Manchester, Manchester Academic Health Science Centre Manchester UK

4. Liverpool Heart and Chest Hospital NHS Foundation Trust Liverpool UK

5. Department of Cardiology Northern Care Alliance NHS Foundation Trust Manchester UK

6. Statistics Department, Research and Innovation Manchester University NHS Foundation Trust Manchester UK

7. Centre for Biostatistics, Division of Population Health, Health Services Research and Primary Care, Faculty of Biology, Medicine and Health The University of Manchester, Manchester Academic Health Science Centre Manchester UK

8. Medtronic Mounds View MN USA

Abstract

AbstractAimsClinical pathways have been shown to improve outcomes in patients with heart failure (HF). Although patients with HF often have a cardiac implantable electronic device, few studies have reported the utility of device‐derived risk scores to augment and organize care. TriageHF Plus is a device‐based HF clinical pathway (DHFP) that uses remote monitoring alerts to trigger structured telephone assessment for HF stability and optimization. We aimed to evaluate the impact of TriageHF Plus on hospitalizations and describe the associated workforce burden.Methods and resultsTriageHF Plus was a multi‐site, prospective study that compared outcomes for patients recruited between April 2019 and February 2021. All alert‐triggered assessments were analysed to determine the appropriateness of the alert and the workload burden. A negative‐binomial regression with inverse probability treatment weighting using a time‐matched usual care cohort was applied to estimate the effect of TriageHF Plus on non‐elective hospitalizations. A post hoc pre‐COVID‐19 sensitivity analysis was also performed. The TriageHF Plus cohort (n = 443) had a mean age of 68.8 ± 11.2 years, 77% male (usual care cohort: n = 315, mean age of 66.2 ± 14.5 years, 65% male). In the TriageHF Plus cohort, an acute medical issue was identified following an alert in 79/182 (43%) cases. Fifty assessments indicated acute HF, requiring clinical action in 44 cases. At 30 day follow‐up, 39/66 (59%) of initially symptomatic patients reported improvement, and 20 (19%) initially asymptomatic patients had developed new symptoms. On average, each assessment took 10 min. The TriageHF Plus group had a 58% lower rate of hospitalizations across full follow‐up [incidence relative ratio: 0.42, 95% confidence interval (CI): 0.23–0.76, P = 0.004]. Across the pre‐COVID‐19 window, hospitalizations were 31% lower (0.69, 95% CI: 0.46–1.04, P = 0.077).ConclusionsThese data represent the largest real‐world evaluation of a DHFP based on multi‐parametric risk stratification. The TriageHF Plus clinical pathway was associated with an improvement in HF symptoms and reduced all‐cause hospitalizations.

Funder

Medtronic

Collaboration for Leadership in Applied Health Research and Care - Greater Manchester

British Heart Foundation

Publisher

Wiley

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