Literature DB >> 31815747

Psychiatric Patients on Neuroleptics: Evaluation of Parkinsonism and Quantified Assessment of Gait.

Hila Yahalom1, Simon Israeli-Korn2, Muli Linder3, Ziv Yekutieli4, Keren Tchelet Karlinsky4, Yarin Rubel5, Vered Livneh2, Tsvia Fay-Karmon2, Sharon Hassin-Baer2,6, Gilad Yahalom2,6.   

Abstract

OBJECTIVES: We aimed to characterize parkinsonian features and gait performance of psychiatric patients on neuroleptics (PPN) and to compare them to Parkinson's disease (PD) and healthy controls (HC).
METHODS: Hospitalized PPN (n = 27) were recruited, examined, and rated for parkinsonian signs according to the motor part of the Movement Disorders Society Unified Parkinson's Disease Rating Scale and performed a 10-m "timed-up-and-go" (TUG) test with a smartphone-based motion capture system attached to their sternum. Gait parameters and mUPDRS scores were compared to those of consecutive age-matched PD patients (n = 18) and HC (n = 27).
RESULTS: Psychiatric patients on neuroleptics exhibited parkinsonism (mUPDRS score range: 8-44) but less than that of PD patients (18.2 ± 9.2 vs 29.8 ± 10.3, P = 0.001). TUG times were slower for PPN and PD versus HC (total: 30.6 ± 7.6 seconds vs 30.0 ± 7.3 seconds vs 20.0 ± 3.2 seconds, straight walking: 10.6 ± 2.7 seconds vs 10.6 ± 2.4 seconds vs 6.8 ± 1.2 seconds) (P < 0.001), and cadence and step length were similar among PPN and PD and different from HC as well. Although their gait speed was slower than HC but similar to PD, PPN had lower mediolateral sway (4.3 ± 1.1 cm vs 6.7 ± 2.9 cm vs 6.9 ± 2.9 cm, respectively, P < 0.001) than both.
CONCLUSIONS: Parkinsonism is very common in hospitalized PPN, but usually milder than that of PD. It seems that wearable sensor-based technology for assessing gait and balance may present a more sensitive and quantitative tool to detect clinical aspects of neuroleptic-induced parkinsonism than standard clinical ratings.

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Year:  2020        PMID: 31815747     DOI: 10.1097/WNF.0000000000000371

Source DB:  PubMed          Journal:  Clin Neuropharmacol        ISSN: 0362-5664            Impact factor:   1.592


  3 in total

1.  Static Balance Digital Endpoints with Mon4t: Smartphone Sensors vs. Force Plate.

Authors:  Keren Tchelet Karlinsky; Yael Netz; Jeremy M Jacobs; Moshe Ayalon; Ziv Yekutieli
Journal:  Sensors (Basel)       Date:  2022-05-30       Impact factor: 3.847

Review 2.  Digital Technology in Movement Disorders: Updates, Applications, and Challenges.

Authors:  Jamie L Adams; Karlo J Lizarraga; Emma M Waddell; Taylor L Myers; Stella Jensen-Roberts; Joseph S Modica; Ruth B Schneider
Journal:  Curr Neurol Neurosci Rep       Date:  2021-03-03       Impact factor: 6.030

3.  Gait abnormalities and non-motor symptoms predict abnormal dopaminergic imaging in presumed drug-induced Parkinsonism.

Authors:  Whitley W Aamodt; Jacob G Dubroff; Gang Cheng; Betty Taylor; Stephanie Wood; John E Duda; James F Morley
Journal:  NPJ Parkinsons Dis       Date:  2022-04-28
  3 in total

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