Comparison of the Results of a Parkinson's Holter Monitor With Patient Diaries, in Real Conditions of Use : A Sub-analysis of the MoMoPa-EC Clinical Trial
Pérez-López, Carlos (Consorci Sanitari de l'Alt Penedès i Garraf. Department of Investigation)
Hernández-Vara, Jorge (Hospital Universitari Vall d'Hebron. Institut de Recerca)
Caballol, Nuria (Hospital Quirón-Teknon. Unitat de Parkinson i Trastorns del moviment)
Bayés, Àngels (Hospital Quirón-Teknon. Unitat de Parkinson i Trastorns del moviment)
Buongiorno, María Teresa (Hospital Universitari MútuaTerrassa (Terrassa, Catalunya))
Lopez-Ariztegui, Núria (Hospital Universitario de Toledo. Servicio de Neurología)
Gironell, Alexandre (Institut d'Investigació Biomèdica Sant Pau)
López-Sánchez, José (Hospital Universitario Virgen de la Arrixaca (Múrcia))
Martínez-Castrillo, Juan Carlos (Hospital Universitario Ramón y Cajal (Madrid))
Alvarez Sauco, María (Hospital General de Elche. Servicio de Neurología)
López-Manzanares, Lydia (Hospital Universitario de la Princesa. Servicio de Neurología)
Escalante, Sonia (Hospital de Tortosa Verge de la Cinta)
Pérez-Martínez, David A. (Hospital Universitario 12 de Octubre (Madrid). Servicio de Neurología)
Rodríguez-Molinero, Alejandro (Consorci Sanitari de l'Alt Penedès i Garraf)
Universitat Autònoma de Barcelona

Fecha:	2022
Resumen:	Background: For specialists in charge of Parkinson's disease (PD), one of the most time-consuming tasks of the consultations is the assessment of symptoms and motor fluctuations. This task is complex and is usually based on the information provided by the patients themselves, which in most cases is complex and biased. In recent times, different tools have appeared on the market that allow automatic ambulatory monitoring. The MoMoPa-EC clinical trial (NCT04176302) investigates the effect of one of these tools-Sense4Care's STAT-ON-can have on routine clinical practice. In this sub-analysis the agreement between the Hauser diaries and the STAT-ON sensor is analyzed. Methods: Eighty four patients from MoMoPa-EC cohort were included in this sub-analysis. The intraclass correlation coefficient was calculated between the patient diary entries and the sensor data. Results: The intraclass correlation coefficient of both methods was 0. 57 (95% CI: 0. 3-0. 73) for the OFF time (%), 0. 48 (95% CI: 0. 17-0. 68) for the time in ON (%), and 0. 65 (95% CI%: 0. 44-0. 78) for the time with dyskinesias (%). Furthermore, the Spearman correlations with the UPDRS scale have been analyzed for different parameters of the two methods. The maximum correlation found was −0. 63 (p < 0. 001) between Mean Fluidity (one of the variables offered by the STAT-dON) and factor 1 of the UPDRS. Conclusion: This sub-analysis shows a moderate concordance between the two tools, it is clearly appreciated that the correlation between the different UPDRS indices is better with the STAT-ON than with the Hauser diary. Trial Registration: https://clinicaltrials. gov/show/NCT04176302 (NCT04176302).
Ayudas:	Instituto de Salud Carlos III DTS17/00195
Nota:	Altres ajuts: the European Fund for Regional Development ('A way to make Europe'); AbbVie S.L.U.
Derechos:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Lengua:	Anglès
Documento:	Article ; recerca ; Versió publicada
Materia:	Parkinson's disease ; Automatic ambulatory monitoring ; Therapeutic adjustment ; Wearable sensors ; Motor fluctuations
Publicado en:	Frontiers in neurology, Vol. 13 (May 2022) , p. 835249, ISSN 1664-2295

DOI: 10.3389/fneur.2022.835249
PMID: 35651347

8 p, 391.2 KB

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