MedElevator
Войти в исследования Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
Impact of excessive daytime sleepiness on the progression of freezing of gait in de novo Parkinson's disease: a cohort study.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Chen Min, Guo Yanjie, Zhang Xuewei, Zhao Maoyun, Zheng Tinghua, Song Jingyang, Liu Feng-Tao, Xing Hongxia
Аннотация
BACKGROUND: Excessive daytime sleepiness (EDS) and freezing of gait (FOG) are prevalent non-motor and motor symptoms in patients with Parkinson's disease (PD), significantly impacting their quality of life. However, the correlation between EDS and FOG progression in de novo PD patients remains controversial.
METHODS: A total of 328 participants from the Parkinson's Progression Markers Initiative (PPMI) were divided into two groups: 43 with EDS (EDS group) and 285 without EDS (nEDS group). The cumulative incidence of FOG was assessed at the 5-year follow-up using Kaplan-Meier and log-rank tests. Multivariate Cox proportional hazards models were used to assess the impact of EDS on FOG progression in PD patients, with validation for robustness through sensitivity and subgroup analyses.
RESULTS: The EDS group experienced a higher incidence of FOG throughout the 5-year follow-up than did the nEDS group. Multivariate Cox proportional hazards models showed significantly association between EDS severity and enhanced risk of developing FOG (HR = 1.076, 95% CI:1.007 ~ 1.149, P = 0.031). For sensitivity analysis, parallel analyses were performed by substituting the independent variable with categorical variables, which yielded analogous outcomes (HR = 1.837, 95% CI:1.063 ~ 3.174, P = 0.029). Furthermore, subgroup analyses based on sex, age, TD/PIGD classification, depressive symptoms, cognitive impairment, mean caudate nucleus uptake level, mean putamen nucleus uptake level and CSF Aβ-42 level revealed no significant interactions between subgroups (all P values for interaction were > 0.05).
CONCLUSION: EDS is a potential prognosis factor for the progression of FOG in patients with PD.
METHODS: A total of 328 participants from the Parkinson's Progression Markers Initiative (PPMI) were divided into two groups: 43 with EDS (EDS group) and 285 without EDS (nEDS group). The cumulative incidence of FOG was assessed at the 5-year follow-up using Kaplan-Meier and log-rank tests. Multivariate Cox proportional hazards models were used to assess the impact of EDS on FOG progression in PD patients, with validation for robustness through sensitivity and subgroup analyses.
RESULTS: The EDS group experienced a higher incidence of FOG throughout the 5-year follow-up than did the nEDS group. Multivariate Cox proportional hazards models showed significantly association between EDS severity and enhanced risk of developing FOG (HR = 1.076, 95% CI:1.007 ~ 1.149, P = 0.031). For sensitivity analysis, parallel analyses were performed by substituting the independent variable with categorical variables, which yielded analogous outcomes (HR = 1.837, 95% CI:1.063 ~ 3.174, P = 0.029). Furthermore, subgroup analyses based on sex, age, TD/PIGD classification, depressive symptoms, cognitive impairment, mean caudate nucleus uptake level, mean putamen nucleus uptake level and CSF Aβ-42 level revealed no significant interactions between subgroups (all P values for interaction were > 0.05).
CONCLUSION: EDS is a potential prognosis factor for the progression of FOG in patients with PD.