Noninvasive biometric monitoring technologies for patients with heart failure.

Journal: Heart failure reviews
Published Date: Oct 22, 2024

Abstract

Heart failure remains one of the leading causes of mortality and hospitalizations in the US that not only impacts quality of life but also poses a significant public health burden. The majority of affected patients are admitted with signs and symptoms of congestion. Despite the initial enthusiasm, traditional remote monitoring strategies focusing primarily on weight gain failed to improve clinical outcomes. Implantable pulmonary artery pressure sensors provide earlier and actionable data, but most patients would favor forgoing an invasive procedure in favor of an alternative, non-invasive monitoring platform. Several devices utilizing different combinations of multiparameter monitoring to reliably detect congestion have recently been developed and are undergoing testing in the clinical setting. Combining these sensors with the power of artificial intelligence and machine learning has the potential to revolutionize remote patient monitoring and early congestion detection and to facilitate timely interventions by the care team to prevent hospitalization. This manuscript provides an objective review of novel, noninvasive, multiparameter remote monitoring platforms that may be tailored to individual heart failure phenotypes, aiming to improve quality of life and survival.

Authors

  • Jose Arriola-Montenegro
    Department of Medicine, University of Minnesota, Minneapolis, MN, USA.
  • Pornthira Mutirangura
    Department of Medicine, University of Minnesota, Minneapolis, MN, USA.
  • Hassan Akram
    Department of Medicine, University of Minnesota, Minneapolis, MN, USA.
  • Adamantios Tsangaris
    Department of Medicine, Division of Cardiology, University of Minnesota, Minneapolis, MN, 55127, USA.
  • Despoina Koukousaki
    Department of Cardiothoracic Surgery, University of Thessaly, Biopolis, Larissa, Greece.
  • Michael Tschida
    University of Minnesota, Minneapolis, MN, USA.
  • Joel Money
    Department of Medicine, Division of Cardiology, University of Minnesota, Minneapolis, MN, 55127, USA.
  • Marinos Kosmopoulos
    Department of Medicine, University of Minnesota, Minneapolis, MN, USA.
  • Mikako Harata
    Department of Medicine, University of Minnesota, Minneapolis, MN, USA.
  • Andrew Hughes
    Department of Medicine, Division of Cardiology, University of Minnesota, Minneapolis, MN, 55127, USA.
  • András Tóth
  • Tamas Alexy
    Department of Medicine, Division of Cardiology, University of Minnesota, Minneapolis, MN, 55127, USA. alexy001@umn.edu.

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