12 November 2019
Amsterdam, NL – In order to optimally treat motor symptoms in patients with Parkinson's disease (PD), it is necessary to have a good understanding of their severity and daily fluctuations. A report in the Journal of Parkinson's Disease describes how a new app, SleepFit, could be a useful tool in routine clinical practice to monitor motor symptoms and facilitate specific symptom-oriented follow-up. The researchers also determined that information obtained prospectively in real time from the user-friendly app can differ from data gathered retrospectively from patient interviews.
In routine practice, clinical examination and subjective reporting from the patient are the primary sources of objective data regarding motor symptoms. Realizing that recall may be inaccurate, especially in patients with PD who may experience subtle, "benign" cognitive dysfunction, researchers have developed the SleepFit app that enables patients to report their symptoms regularly several times a day from home or in their daily living.
"The importance of accurately assessing motor symptoms is pivotal in the clinical follow-up of patients with PD. In fact, physicians' therapeutic decisions rely on the subjective information provided by a patient just as much as on the physical examination. This is particularly important considering that antiparkinsonian medications need to be prescribed at their minimal effective doses to optimize mobility, while minimizing undesirable side effects," explained Pietro Luca Ratti, MD, PhD, researcher at the Neurocenter of Southern Switzerland, Regional Hospital of Lugano, Switzerland, and now at the Clinical Neurophysiology Unit, Department of Neurology, Pierre Zobda-Quitman University Hospital, Fort-de-France, Martinique.
During classic office consultations, patients with PD are asked to recall the nature and severity of their symptoms since their last consultation and provide a rough average estimate of symptoms during an extended period of time. This can introduce the possibility of collecting inaccurate or incomplete information.
For that reason, the researchers developed the SleepFit app for tablets, which incorporates a new Visual Analogue Scale assessing global mobility (m-VAS) and the Scales for Outcome in Parkinson Assessment Diary Card (m-SCOPA-DC). In the clinical study in which SleepFit was first employed, patients were asked to use the app to record their symptoms four times a day for two weeks at specific times of the day. Each time, patients were asked to estimate their perceived momentary motor capability regarding involuntary movements, hand dexterity, walking, and changing position.
An example of the use of the app by a patient at home
Forty-two patients completed the study. The researchers then compared the prospectively collected data from the app to retrospectively collected information from the patient interview, which included a well-accepted measure of mobility in PD, the Movement Disorders Society Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) parts II and IV.
They reported that for many patients there was good agreement between the mobility assessments gathered with the app and the MDS-UPDRS. However, there was a subgroup of PD patients who seemed not to report their motor symptoms accurately at the office consultation. For almost 43% of patients, a discrepancy was noted between the m-SCOPA-DC and the MDS-UDPDRS total score. Further analysis indicated that patients with higher disagreement were those who tended to have more advanced disease, higher fatigue, or worse sleep quality. Some patients (12%) over-estimated their motor symptoms and 5% underestimated their symptoms.
"We believe that a prospective approach would enable better clinical evaluation of patients' subjective symptoms and, thus, better clinical management of the patients themselves," said Dr. Ratti. "Although SleepFit is still under development, we believe it will eventually become a powerful tool to support patient evaluation in real-life conditions, encompassing motor and non-motor symptoms of PD."
PD is a slowly progressive disorder that affects movement, muscle control and balance. It is the second most common age-related neurodegenerative disorder affecting about 3% of the population by the age of 65 and up to 5% of individuals over 85 years of age.
NOTES FOR EDITORS
Full open access study: "A New Prospective, Home-Based Monitoring of Motor Symptoms in Parkinson's Disease" by Pietro-Luca Ratti, Francesca Faraci, Sandra Hackethal, Alessandro Mascheroni, Clara Ferlito, Serena Caverzasio, Ninfa Amato, Eun-Kyoung Choe, Yuhan Luo, Paulo-Edson Nunes-Ferreira, Salvatore Galati, Alessandro Puiatti, and Alain Kaelin-Lang (DOI: 10.3233/JPD-191662). The article is published in the Journal of Parkinson's Disease, Volume 9, Issue 4 (October 2019) by IOS Press. It is openly available at: content.iospress.com/articles/journal-of-parkinsons-disease/jpd191662.
This study was supported by the Swiss Parkinson Association and the Advisory Board for Scientific Research of Ente Ospedaliero Cantonale.
For additional information, contact Diana Murray, IOS Press (+1 718 640-5678 or email@example.com). Journalists wishing to interview the study's authors should contact Pietro-Luca Ratti (firstname.lastname@example.org).
About Journal of Parkinson's Disease
Launched in 2011, the Journal of Parkinson's Disease (JPD) is dedicated to providing an open forum for original research in basic science, translational research and clinical medicine that will expedite our fundamental understanding and improve treatment of Parkinson’s disease. The journal is international and multidisciplinary and aims to promote progress in the epidemiology, etiology, genetics, molecular correlates, pathogenesis, pharmacology, psychology, diagnosis and treatment of Parkinson's disease. JPD publishes research reports, reviews, short communications, and letters-to-the-editor and offers very rapid publication and an affordable open access option. journalofparkinsonsdisease.com
About IOS Press
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