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

Cardiac implantable electronic devices Heart failure Hospitalization Patient pathway Remote monitoring

Journal

ESC heart failure
ISSN: 2055-5822
Titre abrégé: ESC Heart Fail
Pays: England
ID NLM: 101669191

Informations de publication

Date de publication:
07 May 2024
Historique:
revised: 08 03 2024
received: 28 11 2023
accepted: 02 04 2024
medline: 7 5 2024
pubmed: 7 5 2024
entrez: 7 5 2024
Statut: aheadofprint

Résumé

Clinical 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. TriageHF 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). These 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.

Identifiants

pubmed: 38712903
doi: 10.1002/ehf2.14821
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : British Heart Foundation
ID : FS/19/34163
Pays : United Kingdom

Informations de copyright

© 2024 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology.

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Auteurs

Fozia Zahir Ahmed (FZ)

Department of Cardiology, Manchester University Hospitals NHS Foundation Trust, Manchester, UK.
Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.

Camilla Sammut-Powell (C)

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

Glen P Martin (GP)

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

Paul Callan (P)

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

Colin Cunnington (C)

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

Matthew Kahn (M)

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

Mita Kale (M)

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

Toni Weldon (T)

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

Rachel Harwood (R)

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

Catherine Fullwood (C)

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

Bart Gerritse (B)

Medtronic, Mounds View, MN, USA.

David Lanctin (D)

Medtronic, Mounds View, MN, USA.

Nelson Soken (N)

Medtronic, Mounds View, MN, USA.

Niall G Campbell (NG)

Department of Cardiology, Manchester University Hospitals NHS Foundation Trust, Manchester, UK.
Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.

Joanne K Taylor (JK)

Department of Cardiology, Manchester University Hospitals NHS Foundation Trust, Manchester, UK.
Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.

Classifications MeSH