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

doi:10.3390/jcm10184218

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

Medical School for International Health

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

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 language	English
Article number	4218
Journal	Journal of Clinical Medicine
Volume	10
Issue number	18
DOIs	https://doi.org/10.3390/jcm10184218
State	Published - 1 Sep 2021

Keywords

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

ASJC Scopus subject areas

General Medicine

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3390/jcm10184218

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Eisenkraft, A., Maor, Y., Constantini, K., Goldstein, N., Nachman, D., Levy, R., Halberthal, M., Horowitz, N. A., Golan, R., Rosenberg, E., Lavon, E., Cohen, O., Shapira, G., Shomron, N., Ishay, A. B., Sand, E., Merin, R., Fons, M., Littman, R., & Gepner, Y. (2021). Continuous remote patient monitoring shows early cardiovascular changes in covid-19 patients. Journal of Clinical Medicine, 10(18), Article 4218. https://doi.org/10.3390/jcm10184218

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title = "Continuous remote patient monitoring shows early cardiovascular changes in covid-19 patients",

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.",

keywords = "Artificial intelligence, COVID-19, Cardiopulmonary parameters, High-risk population, Remote patient monitoring",

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

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Eisenkraft, A, Maor, Y, Constantini, K, Goldstein, N, Nachman, D, Levy, R, Halberthal, M, Horowitz, NA, Golan, R, Rosenberg, E, Lavon, E, Cohen, O, Shapira, G, Shomron, N, Ishay, AB, Sand, E, Merin, R, Fons, M, Littman, R & Gepner, Y 2021, 'Continuous remote patient monitoring shows early cardiovascular changes in covid-19 patients', Journal of Clinical Medicine, vol. 10, no. 18, 4218. https://doi.org/10.3390/jcm10184218

TY - JOUR

T1 - Continuous remote patient monitoring shows early cardiovascular changes in covid-19 patients

AU - Eisenkraft, Arik

AU - Maor, Yasmin

AU - Constantini, Keren

AU - Goldstein, Nir

AU - Nachman, Dean

AU - Levy, Ran

AU - Halberthal, Michael

AU - Horowitz, Netanel A.

AU - Golan, Ron

AU - Rosenberg, Elli

AU - Lavon, Eitan

AU - Cohen, Ornit

AU - Shapira, Guy

AU - Shomron, Noam

AU - Ishay, Arik Ben

AU - Sand, Efrat

AU - Merin, Roei

AU - Fons, Meir

AU - Littman, Romi

AU - Gepner, Yftach

PY - 2021/9/1

Y1 - 2021/9/1

N2 - 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.

AB - 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.

KW - Artificial intelligence

KW - COVID-19

KW - Cardiopulmonary parameters

KW - High-risk population

KW - Remote patient monitoring

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VL - 10

JO - Journal of Clinical Medicine

JF - Journal of Clinical Medicine

IS - 18

M1 - 4218

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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