Do dreams tell the future? Dream content as a predictor of cognitive deterioration in Parkinson's disease.

Cross-sectional studies suggest a correlation between alterations in dream content reports and executive dysfunction tests in Parkinson's disease (PD), but this has not been assessed in longitudinal studies. Our objective was to assess the predictive value of dream content for progression of cognitive dysfunction in PD. We prospectively addressed all consecutive, non-demented patients with PD attending an outpatient clinic during a 1-year period. Dream reports were collected at baseline by means of a dream diary and analysed according to the Hall and Van de Castle system. Patients were assessed at baseline for rapid eye movement sleep behaviour disorder, motor stage, mood disorder and psychosis. The Montreal Cognitive Assessment (MoCA) was applied at baseline and 4 years later. Linear regression analysis was used to the test the relation between each dream index (predictors), demographic and other motor and non-motor variables (covariates), and change in MoCA scores (dependent variable). In all, 58 patients were assessed at both time points and 23 reported at least one dream (range 1-27, total 148). Aggression, physical activities, and negatively toned content predominated in dream reports. The MoCA scores decreased significantly from baseline to follow-up. In the multivariate model, negative emotion index was the strongest predictor of cognitive decline. We found a significant positive association between negative emotions in dreams at baseline and subsequent reduction in MoCA scores. These findings suggest that some dream content in patients with PD could be considered a predictor of cognitive decline, independent of other factors known to influence either dream content or cognitive deterioration.

Motor and non-motor function predictors of mortality in Parkinson's disease.

Doubts persist regarding the influence of Parkinson's disease (PD) on mortality. Our objective was to assess mortality rates in a prospectively followed cohort of PD patients and the impact of motor and non-motor symptoms in survival. 130 consecutive PD patients were followed during a 4-year period or until death. Baseline assessment included motor function (UPDRSIII, Hoehn and Yahr-HY), incapacity (Schwab and England-S&E, UPDRS II), Health-Related quality of life (EuroQol), non-motor symptoms (Non-Motor Symptom Scale-NMSS, MoCA, REM sleep behavior disorder symptoms questionnaire) and comorbidity burden (Charlson Comorbidity Index-CCI). These were used as predictor variables. Standardized mortality rates (SMR) were calculated, comparing with the general population. The association between mortality and predictors was tested with univariate and multivariate Cox proportional hazard regression models. Overall and gender-related SMRs were similar to the general population. SMR for pneumonia was five times higher than in the general population. Age, disease duration, CCI, EuroQol, dementia, MoCA, S&E, NMSS Hallucinations, HY, and PIGD motor phenotype were significantly associated with mortality. Adjusting for age, gender and disease duration, S&E remained significantly associated with mortality. In multivariate logistic regression analysis, death was significantly associated with disease duration, CCI and NMSS-mood/cognition scores. PD was not associated with an excess of mortality, but conferred a higher probability of dying from pneumonia. Comorbidity was a major determinant, but disease duration, baseline incapacity, cognition, psychosis, mood complaints and HRQL also contributed significantly to mortality.

Obstructive Sleep Apnea and Other Vascular Risk factors' Impact on Non-Motor Symptoms in Parkinson's Disease.

Background: Previous studies revealed an association between vascular comorbidities and obstructive sleep apnea (OSA) and the severity of motor and cognitive symptoms in Parkinson's disease (PD). However, there is a lack of studies assessing the entire spectrum of non-motor symptoms (NMS). Objective: To investigate the relationship between vascular comorbidities and NMS in PD patients. Methods: Patients were assessed at baseline and 4 years later with the Non-Motor Symptom Assessment Scale, Parkinson's Psychosis Questionnaire, Unified Parkinson's Disease Rating Scale (UPDRS), Montreal Cognitive Assessment, and Apathy scale. After tetrachoric correlation matrix, we conducted linear regression models (adjusted for age, gender, disease duration, and UPDRS-III) to investigate the relationship between vascular comorbidities and NMS. Results: In 73 PD patients, (mean disease duration 7.1 [5.3]), 57% had hypertension, 44% body mass index >25, 44% elevated cholesterol, 15% diabetes mellitus, 15% OSA, 14% cigarette-smoking history, 8% prior stroke, and 8% coronary disease. Cognition, psychotic symptoms, apathy, urinary function, and miscellaneous domains significantly worsened at the 4-year follow-up. OSA was significantly associated with higher severity of hallucinations/illusions at baseline and with a more severe deterioration of attention/memory, psychotic symptoms, and apathetic mood at the 4-year follow-up. At baseline, but not at follow-up, hypertension was negatively associated with miscellaneous domain scores and coronary disease with autonomic function scores (gastrointestinal tract and urinary function domains). Conclusion: Among PD-associated comorbidities, OSA was the main factor of decline. In addition to cognitive impairment, OSA might also potentially worsen psychotic symptoms and apathy. Treatment of OSA could be a strategy to improve these important NMS.

Progression in Parkinson's Disease: Variation in Motor and Non-motor Symptoms Severity and Predictors of Decline in Cognition, Motor Function, Disability, and Health-Related Quality of Life as Assessed by Two Different Methods.

BACKGROUND: Parkinson's disease (PD) is multi-symptom disease with variable progression. OBJECTIVES: We performed a longitudinal study to address the evolution of motor symptoms (MS) and non-motor symptoms (NMS), predictors of motor-, cognitive-, disability-, and health-related quality of life (HRQL) status and the relative usefullness of a battery of separate NMS scales (BSS) versus the Non-Motor Symptom Scale (NMSS). METHODS: Seventy-two patients were assessed at baseline and 4 years later with the NMSS and BSS. We assessed the following outcomes: cognition (Montreal Cognitive Assessment scale [MoCA]), disability (Unified Parkinson's Disease Rating Scale Part II [UPDRS II], Schwab and England [S&E]), motor dysfunction (Unified Parkinson's Disease Rating Scale Part III [UPDRS III], Hoehn and Yahr [HY]), and HRQL (EuroQol [EQ] EQ-vertical visual analogue scale [VAS] and EQ-Index). Statistical analysis included a comparison between scales scores at both time points and multivariate regression analysis to calculate the impact of each baseline symptom in outcomes. NMSS and BSS were introduced in separate models. RESULTS: NMSS Domain 4: perception/hallucinations, Parkinson's Psychosis Questionnaire, Apathy Scale, NMSS Domain 7: urinary, S&E, UPDRS II, HY, and MoCA scores worsened significantly. Dementia increased to a 4-year prevalence of 39.8%. In the multivariate model using BSS, cognitive state variation was significantly predicted by baseline HY, EQ-Index, and S&E. Using the NMSS, MoCA change was significantly associated with NMSS Domain 4: perceptions/hallucination score, cognitive status with UPDRS III score, HRQL with NMSS Domain 4: perception/hallucinations score, and S&E. CONCLUSION: Our study suggests that NMS progress heterogeneously, BSS approach being more sensitive to change than NMSS. The multivariate analysis has shown that S&E and NMSS Domain 4: perception/hallucinations scores are the stronger predictors of HRQL and cognitive dysfunction variation, favoring NMSS over the BSS approach.

Polysomnographic predictors of sleep, motor and cognitive dysfunction progression in Parkinson's disease: a longitudinal study.

OBJECTIVE: To assess the predictive value of polysomnographic (PSG) data in the prospective assessment of cognitive, motor, daytime and nighttime sleep dysfunction in Parkinson's Disease (PD) patients. METHODS: PD patients were assessed at baseline with video-PSG and with cognitive (MoCA), Sleep (SCOPA-Sleep Nighttime and Daytime scores) and Motor (UPDRSIII) function scales at both baseline and four years later. Linear regression analysis was used to assess the relation between PSG variables at baseline and change in symptoms scores. RESULTS: We included a total of 25 patients, 12 with rapid eye movement (REM) sleep behavior disorder (RBD) (in 8 PSG was inconclusive, due to lack of REM sleep). MoCA scores decreased significantly at follow-up, while SCOPA-Sleep Daytime and SCOPA-Sleep Nighttime and UPDRSIII did not vary. Lower N3 percentage at baseline was significantly associated with MoCA decrease. Higher Periodic Limb Movements in Sleep index (PLMS) and the presence of RBD were significantly associated with SCOPA daytime score increase. Higher global severity of RBD, tonic RSWA and total number of motor events during REM sleep were associated with SCOPA Nighttime score increase. CONCLUSIONS: The present work suggests that PSG data could be useful for predicting PD cognitive and sleep dysfunction progression. Reduced SWS could predict deterioration of cognitive function, while baseline PLMS could be useful to predict worsening of daytime sleep dysfunction. Severity of RBD could be used for estimating nighttime sleep symptoms progression.