Results of the Second Phase of the GER-e-TEC Experiment concerning the Telemonitoring of Elderly Patients Affected by COVID-19 Disease to Detect the Exacerbation of Geriatric Syndromes

Background: Coronavirus disease 2019 (COVID-19) has wreaked health and economic damage globally. This pandemic has created a difficult challenge for global public health. The coronavirus disease 2019 (COVID-19) pandemic has necessitated the use of new technologies and new processes to care for hospi...

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Autores principales:	Abrar-Ahmad Zulfiqar, Delwende Noaga Damien Massimbo, Mohamed Hajjam, Bernard Geny, Samy Talha, Jawad Hajjam, Sylvie Erve, Amir Hajjam, Emmanuel Andrès
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	geriatric syndromes COVID-19 MyPredi platform alerts telemonitoring Medicine R
Acceso en línea:	https://doaj.org/article/1705a85a20714fba8ce79f0136c9e573
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spelling	oai:doaj.org-article:1705a85a20714fba8ce79f0136c9e5732021-11-25T18:07:20ZResults of the Second Phase of the GER-e-TEC Experiment concerning the Telemonitoring of Elderly Patients Affected by COVID-19 Disease to Detect the Exacerbation of Geriatric Syndromes10.3390/jpm111111172075-4426https://doaj.org/article/1705a85a20714fba8ce79f0136c9e5732021-10-01T00:00:00Zhttps://www.mdpi.com/2075-4426/11/11/1117https://doaj.org/toc/2075-4426Background: Coronavirus disease 2019 (COVID-19) has wreaked health and economic damage globally. This pandemic has created a difficult challenge for global public health. The coronavirus disease 2019 (COVID-19) pandemic has necessitated the use of new technologies and new processes to care for hospitalized patients, including elderly patients. Our team developed a telemonitoring program focused on the prevention of geriatric syndromes, the “GER-e-TEC COVID study”. Methods: This second phase took place during the 3rd wave of the epidemic in France, between 14 December 2020 and 25 February 2021, conducted in the University Hospital of Strasbourg. Results: 30 elderly patients affected by COVID-19 disease were monitored remotely; the mean age was 85.9 years and a male/female ratio of 1.5 to 1.11 (36.7%) died during the experiment. The patients used the telemedicine solution for an average of 27.3 days. 140,260 measurements were taken while monitoring the geriatric syndromes of the entire patient group. 4675 measurements were recorded per patient for geriatric disorders and risks. 319 measurements were recorded per patient per day. The telemedicine solution emitted a total of 1245 alerts while monitoring the geriatric syndromes of the entire patient group. In terms of sensitivity, the results were 100% for all geriatric risks and extremely satisfactory in terms of positive and negative predictive values. Survival analyses showed that gender played no role in the length of the hospital stay, regardless of the reason for the hospitalization (decompensated heart failure (<i>p</i> = 0.45), deterioration of general condition (<i>p</i> = 0.12), but significant for death (<i>p</i> = 0.028)). The analyses revealed that the length of the hospital stay was not affected by the number of alerts. The results concerning the predictive nature of alerts are satisfactory. Conclusions: The MyPredi™ telemedicine system allows for the generation of automatic, non-intrusive alerts when the health of a COVID-19 elderly patient deteriorates due to risks associated with geriatric syndromes.Abrar-Ahmad ZulfiqarDelwende Noaga Damien MassimboMohamed HajjamBernard GenySamy TalhaJawad HajjamSylvie ErveAmir HajjamEmmanuel AndrèsMDPI AGarticlegeriatric syndromesCOVID-19MyPredi platformalertstelemonitoringMedicineRENJournal of Personalized Medicine, Vol 11, Iss 1117, p 1117 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	geriatric syndromes COVID-19 MyPredi platform alerts telemonitoring Medicine R
spellingShingle	geriatric syndromes COVID-19 MyPredi platform alerts telemonitoring Medicine R Abrar-Ahmad Zulfiqar Delwende Noaga Damien Massimbo Mohamed Hajjam Bernard Geny Samy Talha Jawad Hajjam Sylvie Erve Amir Hajjam Emmanuel Andrès Results of the Second Phase of the GER-e-TEC Experiment concerning the Telemonitoring of Elderly Patients Affected by COVID-19 Disease to Detect the Exacerbation of Geriatric Syndromes
description	Background: Coronavirus disease 2019 (COVID-19) has wreaked health and economic damage globally. This pandemic has created a difficult challenge for global public health. The coronavirus disease 2019 (COVID-19) pandemic has necessitated the use of new technologies and new processes to care for hospitalized patients, including elderly patients. Our team developed a telemonitoring program focused on the prevention of geriatric syndromes, the “GER-e-TEC COVID study”. Methods: This second phase took place during the 3rd wave of the epidemic in France, between 14 December 2020 and 25 February 2021, conducted in the University Hospital of Strasbourg. Results: 30 elderly patients affected by COVID-19 disease were monitored remotely; the mean age was 85.9 years and a male/female ratio of 1.5 to 1.11 (36.7%) died during the experiment. The patients used the telemedicine solution for an average of 27.3 days. 140,260 measurements were taken while monitoring the geriatric syndromes of the entire patient group. 4675 measurements were recorded per patient for geriatric disorders and risks. 319 measurements were recorded per patient per day. The telemedicine solution emitted a total of 1245 alerts while monitoring the geriatric syndromes of the entire patient group. In terms of sensitivity, the results were 100% for all geriatric risks and extremely satisfactory in terms of positive and negative predictive values. Survival analyses showed that gender played no role in the length of the hospital stay, regardless of the reason for the hospitalization (decompensated heart failure (<i>p</i> = 0.45), deterioration of general condition (<i>p</i> = 0.12), but significant for death (<i>p</i> = 0.028)). The analyses revealed that the length of the hospital stay was not affected by the number of alerts. The results concerning the predictive nature of alerts are satisfactory. Conclusions: The MyPredi™ telemedicine system allows for the generation of automatic, non-intrusive alerts when the health of a COVID-19 elderly patient deteriorates due to risks associated with geriatric syndromes.
format	article
author	Abrar-Ahmad Zulfiqar Delwende Noaga Damien Massimbo Mohamed Hajjam Bernard Geny Samy Talha Jawad Hajjam Sylvie Erve Amir Hajjam Emmanuel Andrès
author_facet	Abrar-Ahmad Zulfiqar Delwende Noaga Damien Massimbo Mohamed Hajjam Bernard Geny Samy Talha Jawad Hajjam Sylvie Erve Amir Hajjam Emmanuel Andrès
author_sort	Abrar-Ahmad Zulfiqar
title	Results of the Second Phase of the GER-e-TEC Experiment concerning the Telemonitoring of Elderly Patients Affected by COVID-19 Disease to Detect the Exacerbation of Geriatric Syndromes
title_short	Results of the Second Phase of the GER-e-TEC Experiment concerning the Telemonitoring of Elderly Patients Affected by COVID-19 Disease to Detect the Exacerbation of Geriatric Syndromes
title_full	Results of the Second Phase of the GER-e-TEC Experiment concerning the Telemonitoring of Elderly Patients Affected by COVID-19 Disease to Detect the Exacerbation of Geriatric Syndromes
title_fullStr	Results of the Second Phase of the GER-e-TEC Experiment concerning the Telemonitoring of Elderly Patients Affected by COVID-19 Disease to Detect the Exacerbation of Geriatric Syndromes
title_full_unstemmed	Results of the Second Phase of the GER-e-TEC Experiment concerning the Telemonitoring of Elderly Patients Affected by COVID-19 Disease to Detect the Exacerbation of Geriatric Syndromes
title_sort	results of the second phase of the ger-e-tec experiment concerning the telemonitoring of elderly patients affected by covid-19 disease to detect the exacerbation of geriatric syndromes
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/1705a85a20714fba8ce79f0136c9e573
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Results of the Second Phase of the GER-e-TEC Experiment concerning the Telemonitoring of Elderly Patients Affected by COVID-19 Disease to Detect the Exacerbation of Geriatric Syndromes

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