Heart failure (HF) is a significant global concern, impacting patient morbidity, mortality, and healthcare costs. Guideline-directed medical therapy and various preventive measures have proven effective in improving clinical outcomes and reducing HF hospitalizations. Recent data indicates that remote HF monitoring facilitates early detection of HF decompensation by observing upstream events and parameters before clinical signs and symptoms manifest. Moreover, these innovative devices have been shown to decrease unnecessary HF hospitalizations and, in some cases, provide predictive insights before an actual HF incident. In this review, we aim to explore the data regarding smart scales and digital biomarkers and summarize both FDA-approved devices and emerging technologies by assessing their clinical utility, mechanism of HF decompensation detection, and ongoing trials. Furthermore, we also discuss the future trend of integrating these devices into routine clinical practice to improve patient clinical outcomes.
Keyphrases
- acute heart failure
- heart failure
- healthcare
- clinical practice
- electronic health record
- case report
- cardiovascular disease
- atrial fibrillation
- stem cells
- type diabetes
- cardiac resynchronization therapy
- adipose tissue
- depressive symptoms
- bone marrow
- machine learning
- metabolic syndrome
- physical activity
- sleep quality
- insulin resistance
- social media
- current status