Evidence map›Paper›PMID 38712903›Full record

Observational studyESC heart failure2024

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

Fozia Zahir Ahmed, Camilla Sammut-Powell, Glen P Martin, Paul Callan, Colin Cunnington, Matthew Kahn, Mita Kale, Toni Weldon, Rachel Harwood, Catherine Fullwood and 5 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in ESC heart failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Observational
  10. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Fozia Zahir AhmedDepartment of Cardiology, Manchester University Hospitals NHS Foundation Trust, Manchester, UK.
Camilla Sammut-PowellDivision 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 MartinDivision of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.
Paul CallanDepartment of Cardiology, Manchester University Hospitals NHS Foundation Trust, Manchester, UK.
Colin CunningtonDepartment of Cardiology, Manchester University Hospitals NHS Foundation Trust, Manchester, UK.
Matthew KahnLiverpool Heart and Chest Hospital NHS Foundation Trust, Liverpool, UK.
Mita KaleDepartment of Cardiology, Manchester University Hospitals NHS Foundation Trust, Manchester, UK.
Toni WeldonDepartment of Cardiology, Northern Care Alliance NHS Foundation Trust, Manchester, UK.
Rachel HarwoodStatistics Department, Research and Innovation, Manchester University NHS Foundation Trust, Manchester, UK.
Catherine FullwoodStatistics Department, Research and Innovation, Manchester University NHS Foundation Trust, Manchester, UK.
Bart GerritseMedtronic, Mounds View, MN, USA.
David LanctinMedtronic, Mounds View, MN, USA.
Nelson SokenMedtronic, Mounds View, MN, USA.
Niall G CampbellDepartment of Cardiology, Manchester University Hospitals NHS Foundation Trust, Manchester, UK.
Joanne K TaylorDepartment of Cardiology, Manchester University Hospitals NHS Foundation Trust, Manchester, UK.

Funding

British Heart Foundation FS/19/34163MedtronicNational Institute for Health and Care Research Applied Research Collaboration Greater Manchester
6 · The paper itself

Abstract

aimsClinical 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.

Indexed as

COVID-19Heart FailureAgedCritical PathwaysDefibrillators, ImplantableFemaleFollow-Up StudiesHospitalizationHumansMaleMiddle AgedProspective StudiesTelemedicineTriageCardiac implantable electronic devicesHeart failureHospitalizationPatient pathwayRemote monitoring

Identifiers

PMID38712903
PMCPMC11424317

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.