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Validation of a Heart Failure Risk Score in a Cohort of Cardiac Resynchronization Therapy Patients Under Remote Monitoring: Results from the TriageHF™ Algorithm

2023-09Journal article Open access
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dc.contributor.authorCardoso, I
dc.contributor.authorCunha, P
dc.contributor.authorLaranjo, S
dc.contributor.authorGrazina, A
dc.contributor.authorViegas, J
dc.contributor.authorPortugal, G
dc.contributor.authorValente, B
dc.contributor.authorLousinha, A
dc.contributor.authorBrás, P
dc.contributor.authorBrás, M
dc.contributor.authorCruz Ferreira, R
dc.contributor.authorOliveira, M
dc.date.accessioned2024-08-16T15:09:25Z
dc.date.available2024-08-16T15:09:25Z
dc.date.issued2023-09
dc.description.abstractThe heart failure risk status (HFRS) is a validated dynamic tool for risk score prediction, based on the TriageHF™ algorithm (Medtronic, Minneapolis, MN, USA), for the occurrence of a heart failure (HF) event in the 30 days following a remote monitoring (RM) transmission. The aim of this study was to evaluate the accuracy of the HFRS in predicting an unplanned hospital admission due to HF decompensation in a real-world cohort of patients submitted to cardiac resynchronization therapy (CRT). We conducted a single-center review of a cohort of 40 consecutive HF patients, under RM, with CRT devices using the HFRS of the TriageHF™ algorithm. The correlation of the HFRS with hospital admissions was analyzed. During a mean follow-up of 36 months, a stepwise increase in the HFRS was significantly associated with a higher risk of HF admission (odds ratio, 12.7; 95% confidence interval, 3.2-51.5; P < .001), and the HFRS was demonstrated to have good discrimination for HF hospitalization, with an area under the receiver-operating characteristic curve of 0.812. The TriageHF™ algorithm effectively predicted HF-related hospitalization in a cohort of CRT patients during long-term RM follow-up, providing a novel clinical pathway to optimize the clinical management of this complex population.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationJ Innov Card Rhythm Manag . 2023 Sep 15;14(9):5576-5581.pt_PT
dc.identifier.doi10.19102/icrm.2023.14093pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.17/4993
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.subjectHSM CARpt_PT
dc.subjectCardiac Resynchronization Therapy Defibrillatorspt_PT
dc.subjectHF-Related Hospitalizationspt_PT
dc.subjectTriageHF™pt_PT
dc.subjectHeart Failurept_PT
dc.subjectHeart Failure Risk Statuspt_PT
dc.subjectRemote Monitoringpt_PT
dc.titleValidation of a Heart Failure Risk Score in a Cohort of Cardiac Resynchronization Therapy Patients Under Remote Monitoring: Results from the TriageHF™ Algorithmpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage5581pt_PT
oaire.citation.issue9pt_PT
oaire.citation.startPage5576pt_PT
oaire.citation.titleJournal of Innovations in Cardiac Rhythm Managementpt_PT
oaire.citation.volume14pt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

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