CIED-based remote monitoring in heart failure using the HeartLogic™ algorithm: Which patients benefit most?

• Published in: International journal of cardiology 2024-11, Vol.415, p.132421, Article 132421
• Main Authors: van der Lande, Anne Catherine M.H., Feijen, Michelle, Egorova, Anastasia D., Beles, Monika, van Bockstal, Koen, Phagu, Akshay A.S., Schalij, Martin J., Heggermont, Ward A., Beeres, Saskia L.M.A.
• Format: Article
• Language: English
• Subjects: CIED; Fluid retention; Heart failure; HeartLogic; Remote monitoring
• ISSN: 0167-5273; 1874-1754; 1874-1754
• DOI: 10.1016/j.ijcard.2024.132421

Background & Aims: Early identification of worsening HF enables timely adjustments to prevent hospitalization. Recent studies show the HeartLogic™ algorithm detects congestion and reduces HF events. However, it is unclear which patients benefit most. Therefore, this study aims to identify and characterize HF patients who benefit most from CIED-based remote monitoring with HeartLogic™. Methods: In this multicenter retrospective study, patients with a CIED and HeartLogic™ algorithm under structured follow-up were included. Patients were classified as having “substantial benefit” or “no benefit” from monitoring. Results: In total, 242 patients were included (male n = 190, 79%, median age 61 years [IQR 61–77]). Median follow-up was 1.2 years [IQR 1.1–2.7]. Among 378 alerts, 266 were true positive (70%) and 112 false positive (30%). Of the 242 patients, 69 (29%) were classified as having “substantial benefit”, while 173 (71%) had “no benefit” from HeartLogic™ monitoring. Univariate and multivariate analysis showed that patients with “substantial benefit” had higher NYHA functional class (OR 2.64, P = 0.004), higher NT-ProBNP (OR 1.02, P = 0.003), higher serum creatinine (OR 1.10, P