Study on rapid eye movement sleep behavior disorder in patients with Parkinson disease psychosis
Bibliographic record
Abstract
Objective To explore the sleep structure characteristics and risk factors in patients with Parkinson disease psychosis (PDP). Methods Fifty-one patients with Parkinson disease were enrolled.Sixteen cases met the diagnostic criteria of Parkinson disease psychosis were included in the PDP group, while the remaining 35 cases were included in the PD group as the control group.Sleep status was monitored by polysomnography.Neuropsychological assessment of patients with Parkinson disease was performed by Parkinson quality of life questionnaire, Montreal cognitive assessment(MoCA )and Hoehn-Yahr state(H-Y) of Parkinson disease. Results There were statistically significant differences in age of onset in PD group and PDP group (64.11±8.87, 57.44±10.07, t=1.242), course of disease (2 (1, 4), 6 (4, 7), Z=-3.888), HY stage (2 (1.5, 2.5), 3 (2, 3), Z=-2.487)(all P<0.05). The total sleep time in the PDP group was lower than that in the PD group ((344.06±26.39)min, (361.74±17.16)min, P<0.05). Compared with the PD group, the proportion of slow wave sleep phase Ⅰ in the PDP group was bigger ((42.88±7.99)%, (37.14±5.21)%, t=-3.065), and the proportion of slow wave sleep phase II in the PDP group was smaller ((31.19±5.92)%, (37.51±5.70)%, t=3.634)(P<0.05). Single factor binary logistic regression analysis showed that the course of disease, age of onset, RBD, HY stage, PDQ-39 questionnaire score, total sleep time, slow wave sleep stage I (%) and slow wave sleep stage II (%) were the risk factors of PDP (P<0.05). Multivariate binary logistic regression analysis showed that the course of disease and RBD were independent risk factors for patients with PDP (P<0.05). Conclusion Sleep structure changes in patients with PDP, and RBD is the independent risk factor for patients with Parkinson's psychotic disorders. Key words: Parkinson disease; Parkinson disease psychosis; Rapid eye movement sleep behavior disorder; Polysomnography
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".