scholarly journals Early Detection of Fluid Retention in Patients with Advanced Heart Failure: A Review of a Novel Multisensory Algorithm, HeartLogicTM

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1361
Author(s):  
Michelle Feijen ◽  
Anastasia D. Egorova ◽  
Saskia L. M. A. Beeres ◽  
Roderick W. Treskes

Heart failure (HF) hospitalisations due to decompensation are associated with shorter life expectancy and lower quality of life. These hospitalisations pose a significant burden on the patients, doctors and healthcare resources. Early detection of an upcoming episode of decompensation may facilitate timely optimisation of the ambulatory medical treatment and thereby prevent heart-failure-related hospitalisations. The HeartLogicTM algorithm combines data from five sensors of cardiac implantable electronic devices into a cumulative index value. It has been developed for early detection of fluid retention in heart failure patients. This review aims to provide an overview of the current literature and experience with the HeartLogicTM algorithm, illustrate how the index can be implemented in daily clinical practice and discuss ongoing studies and potential future developments of interest.

2018 ◽  
Vol 42 (1) ◽  
pp. 46-57 ◽  
Author(s):  
Katja M. Gist ◽  
Bradley S. Marino ◽  
Claire Palmer ◽  
Frank A. Fish ◽  
Jeremy P. Moore ◽  
...  

2021 ◽  
pp. 026921632110412
Author(s):  
Hunter Groninger ◽  
Diana Stewart ◽  
Julia M Fisher ◽  
Eshetu Tefera ◽  
James Cowgill ◽  
...  

Background: Hospitalized patients with advanced heart failure often experience acute and/or chronic pain. While virtual reality has been extensively studied across a wide range of clinical settings, no studies have yet evaluated potential impact on pain management on this patient population. Aim: To investigate the impact of a virtual reality experience on self-reported pain, quality-of-life, general distress, and satisfaction compared to a two-dimensional guided imagery active control. Design: Single-center prospective randomized controlled study. The primary outcome was the difference in pre- versus post-intervention self-reported pain scores on a numerical rating scale from 0 to 10. Secondary outcomes included changes in quality-of-life scores, general distress, and satisfaction with the intervention. Setting/participants: Between October 2018 and March 2020, 88 participants hospitalized with advanced heart failure were recruited from an urban tertiary academic medical center. Results: Participants experienced significant improvement in pain score after either 10 minutes of virtual reality (change from pre- to post −2.9 ± 2.6, p < 0.0001) or 10 minutes of guided imagery (change from pre- to post −1.3 ± 1.8, p = 0.0001); the virtual reality arm experienced a 1.5 unit comparatively greater reduction in pain score compared to guided imagery ( p = 0.0011). Total quality-of-life and general distress scores did not significantly change for either arm. Seventy-eight participants (89%) responded that they would be willing to use the assigned intervention again. Conclusion: Virtual reality may be an effective nonpharmacologic adjuvant pain management intervention in hospitalized patients with heart failure. Trial Registration: ClinicalTrials.gov database (NCT04572425).


2020 ◽  
Vol 4 (FI1) ◽  
pp. 1-6
Author(s):  
Fozia Zahir Ahmed ◽  
Carol Crosbie ◽  
Matthew Kahn ◽  
Manish Motwani

Abstract Background Heart failure (HF) patients with cardiac implantable electronic devices (CIEDs) represent an important cohort. They are at increased risk of hospitalization and mortality. We outline how remote-only management strategies, which leverage transmitted health-related data, can be used to optimize care for HF patients with a CIED during the COVID-19 pandemic. Case summary An 82-year-old man with HF, stable on medical therapy, underwent cardiac resynchronization therapy implantation in 2016. Modern CIEDs facilitate remote monitoring by providing real-time physiological data (thoracic impedance, heart rate and rhythm, etc.). The ‘Triage Heart Failure Risk Score’ (Triage-HFRS), available on Medtronic CIEDs, integrates several monitored physiological parameters into a risk prediction model classifying patients as low, medium, or high risk of HF events within 30 days. In November 2019, the patient was enrolled in an innovative clinical pathway (Triage-HF Plus) whereby any ‘high’ Triage-HF risk status transmission prompts a phone call-based virtual consultation. A high-risk alert was received via remote transmission on 11 March, triggering a phone call assessment. Upon reporting increasing breathlessness, diuretics were initiated. The prescription was remotely issued and delivered to the patient’s home. This approach circumvented the need for all face-to-face reviews, delivering care in an entirely remote manner. Discussion The challenges posed by COVID-19 have prompted us to think differently about how we deliver care for patients, both now and following the pandemic. Contemporary CIEDs facilitate the ability to remotely monitor HF patients by providing rich physiological data that can help identify individuals at elevated risk of decompensation using automated device-generated alerts.


2020 ◽  
Vol 4 (3) ◽  
pp. 1-6
Author(s):  
James Cranley ◽  
Antonia Hardiman ◽  
Leisa J Freeman

Abstract Background Levosimendan is a non-adrenergic calcium-sensitizing agent with positive inotropic and vasodilatory effects. Its use in acute decompensation of heart failure is established. Good evidence now exists for repetitive infusions of Levosimendan to improve symptoms and reduce hospitalization in advanced heart failure (AdHF) populations. Its use in heart failure resulting from congenital heart disease is not yet commonplace. Case summary We present three cases in which pulsed Levosimendan was used in the management of AdHF secondary to underlying congenital heart disease. There was symptomatic and biomarker evidence of improvement. Discussion Intermittent Levosimendan may represent a valuable therapy to reduce hospitalization and improve quality of life in adults with congenital heart conditions.


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