Advanced Hemodynamic Monitoring Allows Recognition of Early Response Patterns to Diuresis in Congestive Heart Failure Patients

Maya Dagan, Yotam Kolben, Nir Goldstein, Arik Ben Ishay, Meir Fons, Roei Merin, Arik Eisenkraft, Offer Amir, Rabea Asleh, Arie Ben-Yehuda, Dean Nachman

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

There are no clear guidelines for diuretic administration in heart failure (HF), and reliable markers are needed to tailor treatment. Continuous monitoring of multiple advanced physiological parameters during diuresis may allow better differentiation of patients into subgroups according to their responses. In this study, 29 HF patients were monitored during outpatient intravenous diuresis, using a noninvasive wearable multi-parameter monitor. Analysis of changes in these parameters during the course of diuresis aimed to recognize subgroups with different response patterns. Parameters did not change significantly, however, subgroup analysis of the last quartile of treatment showed significant differences in cardiac output, cardiac index, stroke volume, pulse rate, and systemic vascular resistance according to gender, and in systolic blood pressure according to habitus. Changes in the last quartile could be differentiated using k-means, a technique of unsupervised machine learning. Moreover, patients’ responses could be best clustered into four groups. Analysis of baseline parameters showed that two of the clusters differed by baseline parameters, body mass index, and diabetes status. To conclude, we show that physiological changes during diuresis in HF patients can be categorized into subgroups sharing similar response trends, making noninvasive monitoring a potential key to personalized treatment in HF.

Original languageEnglish
Article number45
JournalJournal of Clinical Medicine
Volume12
Issue number1
DOIs
StatePublished - 21 Dec 2022

Bibliographical note

Publisher Copyright:
© 2022 by the authors.

Keywords

  • congestive heart failure
  • digital health
  • diuresis
  • personalized medicine
  • remote patient monitoring

Fingerprint

Dive into the research topics of 'Advanced Hemodynamic Monitoring Allows Recognition of Early Response Patterns to Diuresis in Congestive Heart Failure Patients'. Together they form a unique fingerprint.

Cite this