Case report of early signs of aortic stenosis decompensation detected via ambient sensor-derived digital biomarkers
Abstract
Abstract Background Aortic stenosis is a progressive condition with a grim prognosis, underscoring the importance of timely intervention to prevent decompensation. Home monitoring systems, particularly those utilizing ambient sensors, offer promise in detecting early signs of deterioration. Case summary We present the case of an 89-year-old woman who was asymptomatic but monitored using such a system prior to experiencing acute decompensation. Key clinical indicators, including increased night-time heart rate, respiration rate, toss and turns in bed, and nocturia, were observed several months before hospitalization. Additionally, reduced physical activity and increased toilet visits were noted. Discussion These findings highlight the potential of ambient sensor systems in identifying pre-clinical stages of cardiac decompensation, especially in severe aortic stenosis cases. Integrating ambient sensor systems into routine clinical practice holds promise for enhancing proactive management strategies and reducing adverse outcomes associated with cardiovascular disease progression.
How strong is the evidence?
Evidence Hub reads this as a case report, done in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.
Read the paper
Related studies
- Nano Biosensors: Properties, applications and electrochemical techniques
- Electrochemically Synthesized MIP Sensors: Applications in Healthcare Diagnostics
- Toward a Harmonization for Using in situ Nutrient Sensors in the Marine Environment
- Electrochemical determination of rutin by using NiFe2O4 nanoparticles-loaded reduced graphene oxide
- Application of Polyoxometalate-based composites for sensor systems: A review
- Sensitive Electrochemical and Thermal Detection of Human Noroviruses Using Molecularly Imprinted Polymer Nanoparticles Generated against a Viral Target
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.