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Enregistrement W3199795261 · doi:10.1097/cm9.0000000000001732

Therapeutic potential of bright light therapy for the non-motor symptoms in Parkinson's disease

2021· letter· en· W3199795261 sur OpenAlexaboutno aff
Yun Shen, Siyi Gong, Yulu Liu, Jie Li, Kangping Xiong, Chengjie Mao, Yali Wang, Dan Li, Fen Wang, Hua Hu, Chun‐Feng Liu

Notice bibliographique

RevueChinese Medical Journal · 2021
Typeletter
Langueen
DomaineNeuroscience
ThématiqueCircadian rhythm and melatonin
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEpworth Sleepiness ScaleMedicineParkinson's diseasePittsburgh Sleep Quality IndexCircadian rhythmLight therapyInternal medicineDepression (economics)Excessive daytime sleepinessMotor symptomsDiseaseSleep disorderSleep qualityPsychiatryCognitionPolysomnography

Résumé

récupéré en direct d'OpenAlex

To the Editor: Alterations of circadian rhythms seem to be the casual contribution to sleep disturbances, depression, and other non-motor symptoms in Parkinson's disease (PD).[1,2] By restoring the circadian rhythm, bright light therapy (BLT) might be a potentially new treatment option for PD. However, no studies have conclusively demonstrated the effects of BLT on the non-motor symptoms in PD. Twenty-seven PD patients signed written informed consent and were included in this study. All the patients received 1 h of BLT (10,000 lux) daily within a time frame of 09:00 AM and 11:00 AM for 7 consecutive days. Participants were evaluated for motor and non-motor symptoms before and after the treatment, followed by the assessment of non-motor symptoms on day 28. Finally, 23 PD patients completed the study [Figure 1]. Compared with the baseline, BLT significantly improved daytime sleepiness as assessed by Epworth Sleepiness Scale (ESS, 8.91 ± 5.43 vs. 8.26 ± 4.51, P = 0.032), sleep quality as assessed by Pittsburgh Sleep Quality Index (PSQI, 9.22 ± 4.74 vs. 7.65 ± 3.79, P = 0.042), and Parkinson's Disease Sleep Scale-2 (PDSS-2, 33.65 ± 13.78 vs. 35.96 ± 11.93, P = 0.043). In addition, there were significant differences in Montreal Cognitive Assessment (MoCA) scores (22.17 ± 4.44 vs. 22.91 ± 3.84, P = 0.002) and delayed recall section (1.74 ± 1.91 vs. 2.48 ± 1.75, P = 0.000) between pre- and post-light exposure. There was no significant change in motor symptoms and other non-motor symptoms like depression, anxiety, and autonomic functions. At follow-up, most rating scales that reflected improvement after light exposure were not statistically significant from baseline, except Hamilton Depression Rating Scale (HAMD, 7.96 ± 4.25 vs. 8.52 ± 4.03, P = 0.006). PD patients were divided into PD with EDS and PD without EDS based on ESS scores. Further analysis demonstrated significant improvement in daytime sleepiness in PD with the EDS group after light exposure.Figure 1: The flowchart of study design and patient enrolment. BLT: Bright light therapy; ESS: Epworth Sleepiness Scale; HAMD: Hamilton Depression Rating Scale; MoCA: Montreal Cognitive Assessment; PD: Parkinson's disease; PDSS-2: Parkinson's Disease Sleep Scale-2; PSQI: Pittsburgh Sleep Quality Index. UPDRS: Unified Parkinson's Disease Rating Scale; H&Y: Hoehn & Yahr staging; MMSE: Mini Mental State Examination; HAMA: Hamilton Anxiety Rating Scale; PDQ-39: Parkinson's Disease Questionnaire-39; SCOPA-AUT: Scales for Outcomes in Parkinson's disease- Autonomic; NMSQ: Non-Motor Symptom Questionnaire; FSS: Fatigue Severity Scale; ESS: Epworth Sleepiness Scale; RBDSQ: Rem sleep Behavior Disorder Screening Questionnaire; RBD-HK: Rem sleep Behavior Disorder questionnaire - Hong Kong; MEQ-SA: Morningness - Eveningness questionnaire Self-Assessment version.The strengths of this study lie in the comprehensive assessments of the efficacy of BLT on the non-motor symptoms in PD patients. Besides, scores for each subscale were analyzed for spotting minor improvement of BLT. Finally, to the best of our knowledge, this is a rare report in China yet. There are several limitations to this study. First, the sample size is relatively small and selection bias should be considered. Second, the control group is not included in this study; thus, the possibility of placebo effects could not be excluded. Besides, the place where patients received BLT is not a closed space; therefore, the external light environment changing with seasons could interfere with our experiment. Finally, our study lacks more objective data for clinical assessment, such as data from polysomnography, actigraphy, or data on dynamic changes of cortisol and melatonin. To conclude, BLT for the PD population is still in its infancy. BLT might be a feasible treatment for ameliorating the sleep and cognitive functions in PD patients. Due to the relatively short intervention time and small sample size, the effects of BLT seemed to be mild and temporal. Further randomized controlled trials with larger samples are warranted to clarify the optimal parameters of photobiomodulation and objectively evaluate its effects in the PD population. Funding This work was supported by grants from the Jiangsu Provincial Key R&D Program (No. BE2018658), the Jiangsu Provincial Medical Key Discipline Project (No. ZDXKB2016022), Discipline Construction Program of the Second Affiliated Hospital Soochow University(No. XKTJ-XK202001), the National Natural Science Foundation of China (No. 81801253) and the Natural Science Foundation of Jiangsu Province (BK 20180214). Conflicts of interest None.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesIntégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,359
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,013
Tête enseignante GPT0,263
Écart entre enseignants0,251 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations7
Publié2021
Routes d'admission1
Résumé présentoui

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