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Comprehensive telemedicine solution for remote monitoring of Parkinson’s disease patients with orthostatic hypotension during COVID-19 pandemic

Polverino P.
•
Ajcevic M.
•
Catalan M.
altro
Manganotti P.
2022
  • journal article

Periodico
NEUROLOGICAL SCIENCES
Abstract
Objective: Orthostatic hypotension (OH) represents a frequent but under-recognized phenomenon in Parkinson’s disease (PD). During COVID-19 pandemic, Information and Communication Technologies (ICT) have become pivotal in the management of chronic diseases like PD, not only to assess motor impairment, but also for vital signs monitoring. This pilot study aimed to propose a real-time remote home-monitoring system and protocol for PD patients with OH. Methods: Vital parameters were acquired by wireless devices and transmitted to an ICT platform, providing data and smart notifications to the healthcare provider through an interactive web portal. Eight patients with idiopathic PD and OH underwent 5-day monitoring. Data about OH episodes, therapeutic interventions, impact on daily activities, and patient satisfaction were collected and analyzed. Results: The proposed solution allowed the identification of 65 OH episodes and subsequent medical interventions. Thirty-five episodes were asymptomatic, especially in the postprandial and in the afternoon recordings. Systolic-blood-pressure (SBP) and diastolic-blood-pressure (DBP) were significantly lower in symptomatic episodes, while the pressure drops resulted significantly higher in presence of symptoms. High usability and patient satisfaction scores were observed. Conclusion: The proposed home-monitoring system and protocol have proved to provide useful information and to allow prompt interventions in the management of PD patients with OH during COVID-19 pandemic.
DOI
10.1007/s10072-022-05972-6
WOS
WOS:000770207200001
Archivio
http://hdl.handle.net/11368/3014791
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85126337926
https://link.springer.com/article/10.1007/s10072-022-05972-6
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8930064/
Diritti
open access
license:creative commons
license uri:http://creativecommons.org/licenses/by/4.0/
FVG url
https://arts.units.it/bitstream/11368/3014791/2/Polverino2022_Article_ComprehensiveTelemedicineSolut.pdf
Soggetti
  • Autonomic dysfunction...

  • COVID-19

  • e-Health

  • Parkinson’s disease

  • Telemonitoring

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