Israel Medical Association Journal

Background: Little is known about phenotypical variations among ethnic groups in patients with Parkinson's disease (PD) in Israel. Clinical characteristics of non-Ashkenazi Jews (NAJ) are scantly described.

Objectives: To describe clinical aspects of PD in ethnic groups in Israel, focusing on NAJ and Ashkenazi Jews (AJ).

Methods: In this cross-sectional retrospective study, we collected demographic, genetic, and clinical characteristics of patients from different ethnic Jewish backgrounds. Ethnic groups included AJ; North African Jews (NAFJ); oriental Jews (OJ) originating from Iran, Iraq, and Buchara; Balkan Jews; Yemenite Jews (YJ); and Jews of mixed origin. Clinical characteristics included hyposmia, urinary complaints, constipation, and rapid eye movement sleep behavioral disorder. Cognitive complaints, motor features, levodopa-induced dyskinesia, and motor fluctuations were collected. Motor part of the MDS-UPDRS and Hoehn and Yahr scores were collected.

Results: The study comprised 174 PD Jewish patients (63.2% AJ, 56.4% males). The age at onset was 65.3 ± 10.2 years; 106 patients (60.9%) were genotyped (17 glucocerebrosidase [16.0%], 13 leucine-rich repeat kinase 2 [LRRK2] [12.3%]). Rates of hyposmia were significantly higher in AJ than NAJ (56.6% vs. 39.5%, respectively, P = 0.003). No significant differences were found in motor features in all variables. Of 13 AJ patients carrying the LRRK2 mutation, only one had hyposmia. Three patients with LRRK2 were NAJ.

Conclusions: Hyposmia is less prevalent in PD patients of NAJ origin than in AJ. The rate of hyposmia in NAFJ patients is particularly low. The rate of other non-motor features is similar between NAJ and AJ patients.

Background: There is a need for standardized and objective methods to measure postural instability (PI) and gait dysfunction in Parkinson's disease (PD) patients. Recent technological advances in wearable devices, including standard smartphones, may provide such measurements.

Objectives: To test the feasibility of smartphones to detect PI during the Timed Up and Go (TUG) test.

Methods: Ambulatory PD patients, divided by item 30 (postural stability) of the motor Unified Parkinson's Disease Rating Scale (UPDRS) to those with a normal (score = 0, PD-NPT) and an abnormal (score ≥ 1, PD-APT) test and a group of healthy controls (HC) performed a 10-meter TUG while motion sensor data was recorded from a smartphone attached to their sternum using the EncephaLog application.

Results: In this observational study, 44 PD patients (21 PD-NPT and 23 PD-APT) and 22 HC similar in age and gender distribution were assessed. PD-APT differed significantly in all gait parameters when compared to PD-NPT and HC. Significant difference between PD-NPT and HC included only turning time (P < 0.006) and step-to-step correlation (P < 0.05).

Conclusions: While high correlations were found between EncephaLog gait parameters and axial UPDRS items, the pull test was least correlated with EncephaLog measures. Motion sensor data from a smartphone can detect differences in gait and balance measures between PD with and without PI and HC.