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

• Published in: The Journal of innovations in cardiac rhythm management (Print) 2023-09, Vol.14 (9), p.5576-5581
• Main Authors: CARDOSO, ISABEL, CUNHA, PEDRO, LARANJO, SÉRGIO, GRAZINA, ANDRÉ, VIEGAS, JOSÉ, PORTUGAL, GUILHERME, VALENTE, BRUNO, LOUSINHA, ANA, BRÁS, PEDRO, BRÁS, MANUEL, FERREIRA, RUI, OLIVEIRA, MÁRIO
• Format: Article
• Language: English
• Subjects: Original Research
• ISSN: 2156-3977; 2156-3993
• DOI: 10.19102/icrm.2023.14093

The 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.