A New Prospective, Home-Based Monitoring of Motor Symptoms in Parkinson’s Disease

Autor: Alain Kaelin-Lang, Ninfa Amato, Alessandro Mascheroni, Francesca Dalia Faraci, Clara Ferlito, Eun Kyoung Choe, Yuhan Luo, Serena Caverzasio, Pietro Luca Ratti, Paulo-Edson Nunes-Ferreira, Sandra Hackethal, Salvatore Galati, Alessandro Puiatti
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Journal of Parkinson's Disease
ISSN: 1877-718X
1877-7171
Popis: Background: Subjective symptoms, which are retrospectively assessed during clinical interviews in the office, may be influenced by patient recall in Parkinson’s disease (PD). Prospective collection of subjective data might be an effective tool to overcome this bias. Objective: We investigated the correspondence between prospectively and retrospectively assessed motor symptoms in PD. Methods: Forty-two consecutive patients (9 females, 67±9.8 years old) with mild to moderate PD reported their symptoms four times a day for two weeks, using the “SleepFit” application (app) for tablets. This app incorporates a new Visual Analogue Scale assessing global mobility (m-VAS), and the Scales for Outcome in Parkinson Assessment Diary Card (SCOPA-DC). At day 14, the Movement Disorders Society Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) parts II and IV questionnaires were completed at the hospital. Agreement (root mean square difference) and the tendency to under- or overestimate their symptoms by patients (relative difference after normalization) were calculated to compare prospectively vs. retrospectively collected information. Results: Although agreement was good for overall scores (m-VAS: 10.0%; SCOPA-DC: 18.3%), and for single motor symptoms (involuntary movements, hand dexterity, walking, changing position; each
Databáze: OpenAIRE
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