Continuous remote patient monitoring shows early cardiovascular changes in covid-19 patients

Arik Eisenkraft, Yasmin Maor, Keren Constantini, Nir Goldstein, Dean Nachman, Ran Levy, Michael Halberthal, Netanel A. Horowitz, Ron Golan, Elli Rosenberg, Eitan Lavon, Ornit Cohen, Guy Shapira, Noam Shomron, Arik Ben Ishay, Efrat Sand, Roei Merin, Meir Fons, Romi Littman, Yftach Gepner

Research output: Contribution to journalArticlepeer-review

Abstract

COVID-19 exerts deleterious cardiopulmonary effects, leading to a worse prognosis in the most affected. This retrospective multi-center observational cohort study aimed to analyze the trajectories of key vitals amongst hospitalized COVID-19 patients using a chest-patch wearable providing continuous remote patient monitoring of numerous vital signs. The study was conducted in five COVID-19 isolation units. A total of 492 COVID-19 patients were included in the final analysis. Physiological parameters were measured every 15 min. More than 3 million measurements were collected including heart rate, systolic and diastolic blood pressure, cardiac output, cardiac index, systemic vascular resistance, respiratory rate, blood oxygen saturation, and body temperature. Cardiovascular deterioration appeared early after admission and in parallel with changes in the respiratory parameters, showing a significant difference in trajectories within sub-populations at high risk. Early detection of cardiovascular deterioration of COVID-19 patients is achievable when using frequent remote patient monitoring.

Original languageEnglish
Article number4218
JournalJournal of Clinical Medicine
Volume10
Issue number18
DOIs
StatePublished - 1 Sep 2021
Externally publishedYes

Keywords

  • Artificial intelligence
  • COVID-19
  • Cardiopulmonary parameters
  • High-risk population
  • Remote patient monitoring

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