MSCopilot: New smartphone-based digital biomarkers correlate with Expanded Disability Status Scale scores in people with Multiple Sclerosis
Autor: | Sandra Vukusic, Mikael Cohen, Morgane Vallée, Ian-Christopher Tanoh, Séverine Bieuvelet, Céline Louapre, Cécile Donzé, Thibault Moreau, Saad Zinaï, Anne-Laure Argoud, Elisabeth Maillart, Adil Maarouf, Pierre Labauge, Bertrand Bourre, Ayman Tourbah, Jérôme De Seze, Philippe Gallien, Lissandra Klaeylé |
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Přispěvatelé: | Laboratoire d'informatique de l'École polytechnique [Palaiseau] (LIX), École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Université de Montpellier (UM), Hôpital Pasteur [Nice] (CHU), Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Assistance Publique - Hôpitaux de Marseille (APHM), Service de Neurologie [Lyon], CHU Lyon, Centre de recherche en neurosciences de Lyon - Lyon Neuroscience Research Center (CRNL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Unité de traitement des signaux Biomédicaux (UTSB), Université Catholique de Lille - Faculté de Médecine, Maïeutique, Sciences de la santé (FMMS), Institut Catholique de Lille (ICL), Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Institut Catholique de Lille (ICL), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Médecine Physique et de Réadaptation [Rennes] (Pôle Saint-Hélier), Biopathologie de la Myéline, Neuroprotection et Stratégies Thérapeutiques (BMNST), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de neurologie [Rouen], CHU Rouen, Normandie Université (NU)-Normandie Université (NU), Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Psychopathologie et Neuropsychologie (LPN), Université Paris 8 Vincennes-Saint-Denis (UP8), Hôpital Raymond Poincaré [AP-HP], Université de Versailles Saint-Quentin-en-Yvelines - UFR Sciences de la santé Simone Veil (UVSQ Santé), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ) |
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
medicine.medical_specialty
Medical device Smartphone application MESH: Smartphone Logistic regression Expanded Disability Status Scale (EDSS) Multiple Sclerosis Functional Composite (MSFC) Clinical study Multiple sclerosis Disability Evaluation Physical medicine and rehabilitation immune system diseases medicine Humans Expanded Disability Status Scale MESH: Humans business.industry MESH: Disability Evaluation Reproducibility of Results General Medicine MESH: Multiple Sclerosis medicine.disease nervous system diseases MESH: Reproducibility of Results Neurology Multiple sclerosis functional composite MESH: Biomarkers [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC] Neurology (clinical) Smartphone business Digital health Biomarkers |
Zdroj: | Multiple Sclerosis and Related Disorders Multiple Sclerosis and Related Disorders, 2021, 55, pp.103164. ⟨10.1016/j.msard.2021.103164⟩ |
ISSN: | 2211-0356 2211-0348 |
DOI: | 10.1016/j.msard.2021.103164⟩ |
Popis: | International audience; Background: A previous clinical study showed the high specificity, sensitivity and reliability of MSCopilot, a software medical device designed by Ad Scientiam for the self-assessment of people with Multiple Sclerosis (PwMS), compared to the traditional Multiple Sclerosis Functional Composite (MSFC). We conducted further analyses to assess MSCopilot's performance with respect to the Expanded Disability Status Scale (EDSS).Methods: The data of 116 PwMS were analysed. We studied the correlations between MSCopilot scores and the EDSS, and their ability to distinguish PwMS with high and low EDSS through a study of the distribution of the digital test scores as well as logistic regression models. The same analyses were performed using the MSFC tests.Results: MSCopilot composite scores were as highly correlated to the EDSS (|r| = 0.65, p < 0.01) as their MSFC counterparts, confirming the known correlation of the MSFC with the EDSS. In a linear regression framework, the Walking digital tests have good explanatory power, especially for PwMS with EDSS > 3.5 (R²adj=0.47). The mean values of each MSCopilot subscore were significantly different between patients with an EDSS > 3.5 and others (p < 0.05), which could not be proved for the MSFC Cognition tests. MSCopilot4 was the best model to predict an EDSS score > 3.5 (AUC = 0.92).Conclusion: These analyses confirm the reliability of MSCopilot and show interesting correlations with the EDSS (similar results obtained with the MSFC). MSCopilot was able to highlight nuances in the different stages of MS the MSFC could not capture. |
Databáze: | OpenAIRE |
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