scholarly journals Falls and Fractures in Patients with Parkinson’s Disease-Related Psychosis Treated with Pimavanserin vs Atypical Antipsychotics: A Cohort Study

Author(s):  
J. Bradley Layton ◽  
Joan Forns ◽  
Mary Ellen Turner ◽  
Colleen Dempsey ◽  
Jennifer L. Bartsch ◽  
...  
BMJ Open ◽  
2018 ◽  
Vol 8 (8) ◽  
pp. e023302 ◽  
Author(s):  
Hsiu-Feng Wu ◽  
Li-Ting Kao ◽  
Jui-Hu Shih ◽  
Hui-Han Kao ◽  
Yu-Ching Chou ◽  
...  

ObjectivesMany researchers have expected pioglitazone to serve as an effective neuroprotective agent against Parkinson’s disease (PD). Therefore, we conducted this cohort study to investigate the association between pioglitazone use and PD by using a large Asian population-based dataset in Taiwan.DesignRetrospective cohort study.SettingTaiwan.Participants7906 patients with diabetes who had received pioglitazone were defined as the study cohort, and 7906 matched patients with diabetes who had not received pioglitazone were defined as the comparison cohort.Primary and secondary outcome measuresWe tracked each patient individually over a 5-year follow-up period to identify those diagnosed as having PD during this period. We performed Cox proportional hazard regression analyses to evaluate the HRs for PD between the study and comparison cohorts.ResultsThe findings indicated that among the sampled patients, PD occurred in 257 (1.63%): 119 (1.51%) pioglitazone users and 138 (1.75%) non-users. The adjusted HR for PD within the follow-up period was 0.90 (95% CI: 0.68 to 1.18) in the patients who had received pioglitazone compared with the matched patients who had not received pioglitazone. Moreover, this study revealed that pioglitazone use was not associated with PD incidence in men (HR: 1.06, 95% CI: 0.71 to 1.59) or women (HR: 0.84, 95% CI: 0.61 to 1.15).ConclusionsThis study did not find the relationship between pioglitazone use and PD incidence, regardless of sex, among an Asian population of patients with diabetes.


2010 ◽  
Vol 16 (4) ◽  
pp. 243-248 ◽  
Author(s):  
Yaroslav Winter ◽  
Sonja von Campenhausen ◽  
Georgy Popov ◽  
Jens P. Reese ◽  
Monika Balzer-Geldsetzer ◽  
...  

Brain ◽  
2021 ◽  
Author(s):  
Yu-wen Zhao ◽  
Hong-xu Pan ◽  
Chun-yu Wang ◽  
Qian Zeng ◽  
Yige Wang ◽  
...  

Author(s):  
Peter Gates ◽  
Fred M. Discenzo ◽  
Jin Hyun Kim ◽  
Zachary Lemke ◽  
Joan Meggitt ◽  
...  

Dance therapy can improve motor skills, balance, posture, and gait in people diagnosed with Parkinson’s disease (PD) and healthy older adults (OA). It is not clear how specific movement patterns during dance promote these benefits. The purpose of this cohort study was to identify differences and complexity in dance movement patterns among different dance styles for PD and OA participants in community dance programs using approximate entropy (ApEn) analysis. The hypothesis was that PD participants will show greater ApEn during dance than OA participants and that the unique dance style of tango with more pronounced foot technique and sharp direction changes will show greater ApEn than smoother dance types such as foxtrot and waltz characterized by gradual changes in direction and gliding movement with rise and fall. Individuals participated in one-hour community dance classes. Movement data were captured using porTable 3D motion capture sensors attached to the arms, torso and legs. Classes were also video recorded to assist in analyzing the dance steps. Movement patterns were captured and ApEn was calculated to quantify the complexity of movements. Participants with PD had greater ApEn in right knee flexion during dance movements than left knee flexion (p = 0.02), greater ApEn of right than left hip flexion (p = 0.05), and greater left hip rotation than right (p = 0.03). There was no significant difference in ApEn of body movements (p > 0.4) or mean body movements (p > 0.3) at any body-segment in OA. ApEn analysis is valuable for quantifying the degree of control and predictability of dance movements and could be used as another tool to assess the movement control of dancers and aid in the development of dance therapies.


2017 ◽  
Vol 43 ◽  
pp. 49-55 ◽  
Author(s):  
Sonja Rutten ◽  
Peter M. van der Ven ◽  
Daniel Weintraub ◽  
Gregory M. Pontone ◽  
Albert F.G. Leentjens ◽  
...  

2020 ◽  
Vol 35 (9) ◽  
pp. 871-878 ◽  
Author(s):  
Jung Eun Yoo ◽  
Dong Wook Shin ◽  
Wooyoung Jang ◽  
Kyungdo Han ◽  
Dahye Kim ◽  
...  

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