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.

COVID-19 MyPredi platform alerts geriatric syndromes telemonitoring

Journal

Journal of personalized medicine
ISSN: 2075-4426
Titre abrégé: J Pers Med
Pays: Switzerland
ID NLM: 101602269

Informations de publication

Date de publication:
29 Oct 2021
Historique:
received: 28 09 2021
accepted: 27 10 2021
entrez: 27 11 2021
pubmed: 28 11 2021
medline: 28 11 2021
Statut: epublish

Résumé

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". 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. 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 ( 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.

Sections du résumé

BACKGROUND 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 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 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 (
CONCLUSIONS 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.

Identifiants

pubmed: 34834469
pii: jpm11111117
doi: 10.3390/jpm11111117
pmc: PMC8621367
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Abrar-Ahmad Zulfiqar (AA)

Service de Médecine Interne, Diabète et Maladies Métaboliques de la Clinique Médicale B, Hôpitaux Universitaires de Strasbourg, Equipe EA 3072 "Mitochondrie, Stress Oxydant et Protection Musculaire", Faculté de Médecine, Université de Strasbourg, 67000 Strasbourg, France.

Delwende Noaga Damien Massimbo (DND)

Predimed Technology Society, 67300 Schiltigheim, France.

Mohamed Hajjam (M)

Predimed Technology Society, 67300 Schiltigheim, France.

Bernard Geny (B)

Service de Physiologie et d'Explorations Fonctionnelles, Hôpitaux Universitaires de Strasbourg, Equipe EA 3072 "Mitochondrie, Stress Oxydant et Protection Musculaire", Faculté de Médecine, Université de Strasbourg, 67000 Strasbourg, France.

Samy Talha (S)

Service de Physiologie et d'Explorations Fonctionnelles, Hôpitaux Universitaires de Strasbourg, Equipe EA 3072 "Mitochondrie, Stress Oxydant et Protection Musculaire", Faculté de Médecine, Université de Strasbourg, 67000 Strasbourg, France.

Jawad Hajjam (J)

Centre d'Expertise des TIC pour l'Autonomie (CenTich), Mutualité Française Anjou-Mayenne (MFAM)-Angers, 49000 Angers, France.

Sylvie Erve (S)

Centre d'Expertise des TIC pour l'Autonomie (CenTich), Mutualité Française Anjou-Mayenne (MFAM)-Angers, 49000 Angers, France.

Amir Hajjam (A)

Laboratoire IRTES-SeT, Université de Technologie de Belfort-Montbéliard (UTBM), Belfort-Montbéliard, 90000 Belfort, France.

Emmanuel Andrès (E)

Service de Médecine Interne, Diabète et Maladies Métaboliques de la Clinique Médicale B, Hôpitaux Universitaires de Strasbourg, Equipe EA 3072 "Mitochondrie, Stress Oxydant et Protection Musculaire", Faculté de Médecine, Université de Strasbourg, 67000 Strasbourg, France.

Classifications MeSH