4.6 Article

Fatigue correlates with sleep disturbances in Parkinson disease

期刊

CHINESE MEDICAL JOURNAL
卷 134, 期 6, 页码 668-674

出版社

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/CM9.0000000000001303

关键词

Fatigue; Parkinson disease; Polysomnography; Sleep behavior disorder

资金

  1. National Key R&D Program of China [2017YFC0909100]
  2. National Natural Science Foundation of China [91649114, 81801259]
  3. Jiangsu Provincial Key RD Program [BE2018658]
  4. Jiangsu Provincial Medical Key Discipline Project [ZDXKB2016022]
  5. Jiangsu Provincial social development projects [BE2017653]
  6. Suzhou Clinical Research Center of Neurological Disease [Szzx201503]
  7. Pre-research project for doctors of the Second Affiliated Hospital of Soochow University [SDFEYBS1910]
  8. Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD)

向作者/读者索取更多资源

This study found that PD patients with severe fatigue had more severe clinical symptoms, higher daytime sleepiness scores, lower percentage of REM sleep, and were more likely to have RBD. Multivariate regression analysis found that the presence of RBD and proportion of REM sleep were independent predictors for fatigue in PD patients.
Background: Many Parkinson disease (PD) patients complain about chronic fatigue and sleep disturbances during the night. The objective of this study is to determine the relationship between fatigue and sleep disturbances by using polysomnography (PSG) in PD patients. Methods: Two hundred and thirty-two PD patients (152 with mild fatigue and 80 with severe fatigue) were recruited in this study. Demographic information and clinical symptoms were collected. Fatigue severity scale (FSS) was applied to evaluate the severity of fatigue, and PSG was conducted in all PD patients. FSS >= 4 was defined as severe fatigue, and FSS Results: Patients with severe fatigue tended to have a longer duration of disease, higher Unified Parkinson Disease Rating Scale score, more advanced Hoehn and Yahr stage, higher daily levodopa equivalent dose, worse depression, anxiety, and higher daytime sleepiness score. In addition, they had lower percentage of rapid eye movement (REM) sleep (P = 0.009) and were more likely to have REM sleep behavior disorder (RBD) (P = 0.018). Multivariate logistic regression analyses found that the presence of RBD and proportion of REM sleep were the independent predictors for fatigue. After the adjustment of age, sex, duration, body mass index, severity of disease, scores of Hamilton Rating Scale for Depression, Hamilton Anxiety Rating Scale, and other sleep disorders, proportion of REM sleep and degree of REM sleep without atonia in patients with PD were still associated with FSS score. Conclusion: Considering the association between fatigue, RBD, and the altered sleep architecture, fatigue is a special subtype in PD and more studies should be focused on this debilitating symptom.

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