Remote monitoring of COVID-19 positive high-risk patients in domestic isolation: A feasibility study.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2021
Historique:
received: 24 05 2021
accepted: 24 08 2021
entrez: 24 9 2021
pubmed: 25 9 2021
medline: 5 10 2021
Statut: epublish

Résumé

If a COVID-19 patient develops a so-called severe course, he or she must be taken to hospital as soon as possible. This proves difficult in domestic isolation, as patients are not continuously monitored. The aim of our study was to establish a telemonitoring system in this setting. Oxygen saturation, respiratory rate, heart rate and temperature were measured every 15 minutes using an in-ear device. The data was transmitted to the Telecovid Centre via mobile network or internet and monitored 24/7 by a trained team. The data were supplemented by daily telephone calls. The patients´ individual risk was assessed using a modified National Early Warning Score. In case of a deterioration, a physician initiated the appropriate measures. Covid-19 Patients were included if they were older than 60 years or fulfilled at least one of the following conditions: pre-existing disease (cardiovascular, pulmonary, immunologic), obesity (BMI >35), diabetes mellitus, hypertension, active malignancy, or pregnancy. 153 patients (median age 59 years, 77 female) were included. Patients were monitored for 9 days (median, IQR 6-13 days) with a daily monitoring time of 13.3 hours (median, IQR 9.4-17.0 hours). 20 patients were referred to the clinic by the Telecovid team. 3 of these required intensive care without invasive ventilation, 4 with invasive ventilation, 1 of the latter died. All patients agreed that the device was easy to use. About 90% of hospitalised patients indicated that they would have delayed hospitalisation further if they had not been part of the study. Our study demonstrates the successful implementation of a remote monitoring system in a pandemic situation. All clinically necessary information was obtained and adequate measures were derived from it without delay.

Sections du résumé

BACKGROUND
If a COVID-19 patient develops a so-called severe course, he or she must be taken to hospital as soon as possible. This proves difficult in domestic isolation, as patients are not continuously monitored. The aim of our study was to establish a telemonitoring system in this setting.
METHODS
Oxygen saturation, respiratory rate, heart rate and temperature were measured every 15 minutes using an in-ear device. The data was transmitted to the Telecovid Centre via mobile network or internet and monitored 24/7 by a trained team. The data were supplemented by daily telephone calls. The patients´ individual risk was assessed using a modified National Early Warning Score. In case of a deterioration, a physician initiated the appropriate measures. Covid-19 Patients were included if they were older than 60 years or fulfilled at least one of the following conditions: pre-existing disease (cardiovascular, pulmonary, immunologic), obesity (BMI >35), diabetes mellitus, hypertension, active malignancy, or pregnancy.
FINDINGS
153 patients (median age 59 years, 77 female) were included. Patients were monitored for 9 days (median, IQR 6-13 days) with a daily monitoring time of 13.3 hours (median, IQR 9.4-17.0 hours). 20 patients were referred to the clinic by the Telecovid team. 3 of these required intensive care without invasive ventilation, 4 with invasive ventilation, 1 of the latter died. All patients agreed that the device was easy to use. About 90% of hospitalised patients indicated that they would have delayed hospitalisation further if they had not been part of the study.
INTERPRETATION
Our study demonstrates the successful implementation of a remote monitoring system in a pandemic situation. All clinically necessary information was obtained and adequate measures were derived from it without delay.

Identifiants

pubmed: 34559832
doi: 10.1371/journal.pone.0257095
pii: PONE-D-21-17053
pmc: PMC8462738
doi:

Types de publication

Clinical Trial Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0257095

Déclaration de conflit d'intérêts

FK is an employee of cosinuss, the manufacturer of the ear sensor used in this study. This affiliation does not alter our adherence to PLOS ONE policies on sharing data and materials. All other authors declare no competing interests.

Références

JAMA Netw Open. 2021 Jan 4;4(1):e2034266
pubmed: 33464319
Psychiatry Res. 2020 Aug;290:113129
pubmed: 32485487
Ann Intensive Care. 2020 Mar 18;10(1):33
pubmed: 32189136
Lancet Respir Med. 2020 Sep;8(9):853-862
pubmed: 32735842
Eur Respir J. 2020 Jun 4;55(6):
pubmed: 32269086
Lancet Glob Health. 2020 Apr;8(4):e480
pubmed: 32109372

Auteurs

David Wurzer (D)

Telecovid Centre, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.

Paul Spielhagen (P)

Telecovid Centre, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.

Adonia Siegmann (A)

Telecovid Centre, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.

Ayca Gercekcioglu (A)

Telecovid Centre, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.

Judith Gorgass (J)

Telecovid Centre, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.

Simone Henze (S)

Telecovid Centre, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.

Yuron Kolar (Y)

Telecovid Centre, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.

Felix Koneberg (F)

Cosinuss GmbH, Munich, Germany.

Sari Kukkonen (S)

Telecovid Centre, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.

Hannah McGowan (H)

Telecovid Centre, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.

Stefanie Schmid-Eisinger (S)

Telecovid Centre, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.

Alexander Steger (A)

Department of Internal Medicine I, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.

Michael Dommasch (M)

Department of Internal Medicine I, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.

Hans Ulrich Haase (HU)

Department of Internal Medicine I, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.

Alexander Müller (A)

Department of Internal Medicine I, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.

Eimo Martens (E)

Department of Internal Medicine I, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.

Bernhard Haller (B)

Institute of Medical Informatics, Statistics and Epidemiology, Technical University of Munich, Munich, Germany.

Katharina M Huster (KM)

Department of Internal Medicine I, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.

Georg Schmidt (G)

Department of Internal Medicine I, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany.

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Classifications MeSH