Article
Clinical Neurology
Hanan Khalil, Zakiyah F. Aldaajani, Mayis Aldughmi, Alham Al-Sharman, Tareq Mohammad, Raja Mehanna, Shaimaa El-Jaafary, Ahmed Dahshan, Mouna Ben Djebara, Walaa A. Kamel, Hanan A. Amer, Mohammed Farghal, Fatema Abdulla, Nouf Al-Talai, Muneer Abu Snineh, Nouha Farhat, Fatima A. Jamali, Rawan K. Matar, Heba S. Abdelraheem, Nesma A. M. Ghonimi, Mishal Abu Al-Melh, Sonia Elbhrawy, Majid S. Alotaibi, Shaimaa A. Elaidy, Shahad A. Almuammar, Jasem Y. Al-Hashel, Riadh Gouider, Hatem Samir, Chokri Mhiri, Matej Skorvanek, Jeffrey Lin, Pablo Martinez-Martin, Glenn T. Stebbins, Sheng Luo, Christopher G. Goetz, Jawad A. Bajwa
Summary: This study validated the Arabic-translated version of the MDS-UPDRS and confirmed its consistency with the English version in terms of factor structure. The Arabic version of the MDS-UPDRS has good construct validity in Arabic-speaking PD patients and has been designated as the official version. The study provides a roadmap for validating other MDS rating scales and demonstrates that underserved regions can actively mobilize efforts to improve clinical care, education, and research for PD.
MOVEMENT DISORDERS
(2022)
Article
Clinical Neurology
Sheng Luo, Christopher G. Goetz, Dongrak Choi, Sanket Aggarwal, Tiago A. Mestre, Glenn T. Stebbins
Summary: This study aimed to determine the imputation accuracy for total-sum and item-specific MDS-UPDRS Motor Examination scores in remote administration. The results showed that the total-sum score can be accurately imputed without the scores of Rigidity and Postural Stability items, but there is no feasible formula for imputing item-level scores.
MOVEMENT DISORDERS
(2022)
Article
Clinical Neurology
Ahnjili ZhuParris, Eva Thijssen, Willem O. O. Elzinga, Soma Makai-Boloni, Wessel Kraaij, Geert J. J. Groeneveld, Robert J. J. Doll
Summary: The development of objective and easy-to-implement biomarkers to monitor the effects of fast-acting drugs among Parkinson's disease patients is crucial for drug development. In this study, composite biomarkers were developed using machine learning algorithms and finger tapping tasks to predict treatment effects and estimate disease severity. The composite biomarker of alternative index finger tapping (IFT) showed the best classification performance and outperformed the traditional biomarkers. The results suggest that the IFT composite biomarker can be adopted for detecting antiparkinsonian treatment effects in clinical trials.
MOVEMENT DISORDERS
(2023)
Article
Neurosciences
Jaimie Hixson, Jorge E. Quintero, Ashley Guiliani, Tritia R. Yamasaki, Greg A. Gerhardt, John T. Slevin, Craig G. van Horne
Summary: We designed a data visualization platform for the MDS-UPDRS item scores, allowing easy interpretation without modifying the raw data. Different parts' scores were presented separately, and anatomical arrangement was applied to Part III. A color scale was used to represent symptom severity and changes over time, enabling effective communication of the results and interpretations.
JOURNAL OF PARKINSONS DISEASE
(2023)
Article
Pharmacology & Pharmacy
Yucheng Sheng, Xuan Zhou, Shuying Yang, Peiming Ma, Chao Chen
Summary: Longitudinal modelling of item scores can enhance trial efficiency and success, calling for a reassessment of the placement of tremor items in the instrument.
BRITISH JOURNAL OF CLINICAL PHARMACOLOGY
(2021)
Article
Clinical Neurology
Tatsuya Yamamoto, Yoshitaka Yamanaka, Shigeki Hirano, Yoshinori Higuchi, Satoshi Kuwabara
Summary: This study investigated whether the MDS-UPDRS can detect longitudinal changes in motor function after STN-DBS in the same way as UPDRS. The results showed that the MDS-UPDRS can detect changes in motor function after STN-DBS, similar to the UPDRS.
FRONTIERS IN NEUROLOGY
(2023)
Article
Clinical Neurology
Rajesh Pahwa, Susan Fox, Robert A. Hauser, Stuart Isaacson, Judy Lytle, Reed Johnson, Lily Llorens, Andrea E. Formella, Caroline M. Tanner
Summary: This study determined the minimal clinically important change (MCIC) for the Unified Dyskinesia Rating Scale (UDysRS) in patients with Parkinson's disease (PD) based on pivotal trial data. An 8-point reduction in the UDysRS total score can be considered an MCIC for PD patients with dyskinesia.
FRONTIERS IN NEUROLOGY
(2022)
Article
Rehabilitation
Aysan Mahmoudi Asl, Maryam Mehdizadeh, Jaime Kulisevsky, Azar Sabet, Parvaneh Taghavi Azar Sharabiani, Hajar Mehdizadeh, Hassan Ashayeri, Ghorban Taghizadeh
Summary: The aim of this study was to investigate the reliability and validity of the Parkinson's Disease-Cognitive Rating Scale (PD-CRS) in Iranian patients with idiopathic Parkinson's disease (PD). The Persian version of PD-CRS showed excellent test-retest and inter-rater reliability, as well as internal consistency. It also exhibited high sensitivity and specificity in identifying mild cognitive impairment (MCI) and dementia in PD patients. Overall, the Persian version of PD-CRS is a reliable and valid measure for assessing cognitive function in patients with PD.
DISABILITY AND REHABILITATION
(2022)
Article
Clinical Neurology
Urs Kleinholdermann, Max Wullstein, David Pedrosa
Summary: This study aimed to develop a mobile, objective, and unobtrusive method for measuring motor symptoms in Parkinson's disease. Data from 45 PD patients were collected using surface electromyography (sEMG) electrodes attached to a wristband. A random forest regression model showed the highest correlation of 0.739 between true and predicted UPDRS values, indicating the potential of sEMG data in extrapolating motor symptoms of PD patients.
CLINICAL NEUROPHYSIOLOGY
(2021)
Article
Clinical Neurology
Christine Lo, Siddharth Arora, Michael Lawton, Thomas Barber, Timothy Quinnell, Gary J. Dennis, Yoav Ben-Shlomo, Michele Tao-Ming Hu
Summary: The composite clinical motor score may offer greater consistency and sensitivity in detecting motor changes in early disease than the MDS-UPDRS III alone. It is also more accurate in predicting clinical outcomes, requiring fewer participants in sample size estimations.
JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY
(2022)
Article
Psychology, Multidisciplinary
Nelson Andrade-Gonzalez, Irene Rodrigo-Holgado, Jesus Fernandez-Rozas, Pablo F. Cancer, Guillermo Lahera, Alberto Fernandez-Liria, Gabriel Rubio, Scott D. Miller
Summary: The research aimed to determine the reliability and validity of the Outcome Rating Scale (ORS) and Session Rating Scale (SRS) in a sample of Spanish patients, with both measures showing good internal consistency, convergent and discriminant validity, as well as sensitivity to changes in patients' symptoms.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Health Care Sciences & Services
Md Saiful Islam, Wasifur Rahman, Abdelrahman Abdelkader, Sangwu Lee, Phillip T. Yang, Jennifer Lynn Purks, Jamie Lynn Adams, Ruth B. Schneider, Earl Ray Dorsey, Ehsan Hoque
Summary: Researchers developed an AI system to remotely assess motor performance in individuals with Parkinson's disease. They used a standardized finger-tapping task performed by 250 participants worldwide and had expert neurologists rate the recorded videos. The computer algorithms developed aligned with the neurologists' ratings and outperformed certified raters.
NPJ DIGITAL MEDICINE
(2023)
Article
Clinical Neurology
Adriaan D. de Jongh, Ruben van Eijk, Leonhard A. Bakker, Tommy M. Bunte, Anita Beelen, Conny van der Meijden, Michael A. van Es, Johanna Visser-Meily, Esther T. Kruitwagen, Jan H. Veldink, Leonard H. van den Berg
Summary: The study aimed to develop the ALS Impairment Multidomain Scale (AIMS) that comprehensively evaluates disease progression and increases the likelihood of identifying effective treatments.
Article
Engineering, Biomedical
Murtadha D. Hssayeni, Joohi Jimenez-Shahed, Michelle A. Burack, Behnaz Ghoraani
Summary: This study developed a novel algorithm using wearable technology to continuously estimate the severity of Parkinson's disease at home. The algorithm was successful in estimating PD severity scores without requiring patients to perform specific tasks, showing potential for effective disease management.
BIOMEDICAL ENGINEERING ONLINE
(2021)
Article
Public, Environmental & Occupational Health
Zemiao Zhang, Yinhuan Hu, Hao Chen, Weilin Zhu, Dehe Li, Ximin Zhu, Xiaoyue Wu, Jiayi Li
Summary: This study aims to develop a scale to measure the joy in work of doctors, with good reliability and validity confirmed by testing with 426 physicians. The scale consists of four dimensions, each with 7 items, and shows strong item-total score correlations, indicating a good fit with the model.
FRONTIERS IN PUBLIC HEALTH
(2021)
