Validation of the Arabic Version of the Movement Disorder Society-Unified Parkinson's Disease Rating Scale.

BACKGROUND: The Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) has become the gold standard for evaluating different domains in Parkinson's disease (PD), and it is commonly used in clinical practice, research, and clinical trials. OBJECTIVES: The objectives are to validate the Arabic-translated version of the MDS-UPDRS and to assess its factor structure compared with the English version. METHODS: The study was carried out in three phases: first, the English version of the MDS-UPDRS was translated into Arabic and subsequently back-translated into English by independent translation team; second, cognitive pretesting of selected items was performed; third, the Arabic version was tested in over 400 native Arabic-speaking PD patients. The psychometric properties of the translated version were analyzed using confirmatory factor analysis (CFA) as well as exploratory factor analysis (EFA). RESULTS: The factor structure of the Arabic version was consistent with that of the English version based on the high CFIs for all four parts of the MDS-UPDRS in the CFA (CFI ≥0.90), confirming its suitability for use in Arabic. CONCLUSIONS: The Arabic version of the MDS-UPDRS has good construct validity in Arabic-speaking patients with PD and has been thereby designated as an official MDS-UPDRS version. The data collection methodology among Arabic-speaking countries across two continents of Asia and Africa provides a roadmap for validating additional MDS rating scale initiatives and is strong evidence that underserved regions can be energically mobilized to promote efforts that apply to better clinical care, education, and research for PD. © 2022 International Parkinson and Movement Disorder Society.

Multicenter Validation of Individual Preoperative Motor Outcome Prediction for Deep Brain Stimulation in Parkinson's Disease.

BACKGROUND: Subthalamic nucleus deep brain stimulation (STN DBS) is an established therapy for Parkinson's disease (PD) patients suffering from motor response fluctuations despite optimal medical treatment, or severe dopaminergic side effects. Despite careful clinical selection and surgical procedures, some patients do not benefit from STN DBS. Preoperative prediction models are suggested to better predict individual motor response after STN DBS. We validate a preregistered model, DBS-PREDICT, in an external multicenter validation cohort. METHODS: DBS-PREDICT considered eleven, solely preoperative, clinical characteristics and applied a logistic regression to differentiate between weak and strong motor responders. Weak motor response was defined as no clinically relevant improvement on the Unified Parkinson's Disease Rating Scale (UPDRS) II, III, or IV, 1 year after surgery, defined as, respectively, 3, 5, and 3 points or more. Lower UPDRS III and IV scores and higher age at disease onset contributed most to weak response predictions. Individual predictions were compared with actual clinical outcomes. RESULTS: 322 PD patients treated with STN DBS from 6 different centers were included. DBS-PREDICT differentiated between weak and strong motor responders with an area under the receiver operator curve of 0.76 and an accuracy up to 77%. CONCLUSION: Proving generalizability and feasibility of preoperative STN DBS outcome prediction in an external multicenter cohort is an important step in creating clinical impact in DBS with data-driven tools. Future prospective studies are required to overcome several inherent practical and statistical limitations of including clinical decision support systems in DBS care.

A Real-Life Search for the Optimal Set of Conversion Factors to Levodopa-Equivalent-Dose in Parkinson's Disease Patients on Polytherapy.

BACKGROUND: A wide variety of conversion factors for a levodopa-equivalent-dose (LED) have been proposed for each Parkinson's disease (PD) medication. The currently-used set of conversion factors is based on studies that relied on subjective experience or theoretical assumptions. This set was never validated in patients receiving polytherapy. OBJECTIVES: To use real-life data to identify an optimal set of conversion factors independent of prior assumptions regarding clinical efficacy of different medications. METHODS: Retrospective analysis of data from 206 cognitively-preserved patients with advanced PD receiving polytherapy before deep brain stimulation (DBS) surgery. A nonlinear automated problem solver was used to find a set of conversion factors that, when applied, minimized the coefficient of variation of LEDs in a relatively homogenous cohort of patients. RESULTS: Independent and model-free evaluation of a wide range of possible sets of conversion factors to LED suggested a set of normalized conversion factors for immediate release levodopa (1.00), controlled release levodopa (0.88), and amantadine (1.23). A minimal clinical benefit of entacapone was observed for patients with motor fluctuations. Our analysis could not detect conversion factors for dopamine agonists and MAO-B inhibitors, possibly because their clinical contribution when added to levodopa is limited. CONCLUSIONS: Independent from previous studies and prior assumptions we show that the currently-used LED conversion factors for immediate release levodopa, controlled release levodopa and amantadine are largely correct and that dopamine agonists, MAO-B inhibitors and entacapone, given in addition to levodopa, have little additional clinical value for PD patients with motor fluctuations.