Characteristic analysis of autonomic dysfunction in patients with Alzheimer's disease
Bibliographic record
Abstract
Objective To investigate the autonomic nervous dysfunction in patients with Alzheimer's disease (AD) and its relationship with cognitive function. Methods A total of 160 AD patients were enrolled in Shanghai Jinshan Zhongren Aged Care Hospital from July 2020 to June 2021. Min⁃Mental State Examination (MMSE), Montreal Cognitive Assessment⁃Basic (MoCA⁃B) and Scale for Outcomes in Parkinson's Disease⁃Autonomic (SCOPA⁃AUT) were used to assess the cognitive and autonomic nervous function of AD patients, and the occurrence of orthostatic hypotension (OH) in AD were evaluated with the lying and standing blood pressure testing. Spearman rank correlation analysis was used to analyze the correlation between autonomic nervous function and cognitive function. Results Compared with the mild AD group, the scores of MMSE, MoCA⁃B and their subitems were lower (P=0.000, for all), and SCOPA⁃AUT score (P=0.000) and its subitem of digestive system (P=0.000), urinary system (P=0.000) and body temperature (P=0.001) were increased in the severe AD group. The incidence of OH was 32.22% (29/90). Spearman rank correlation analysis showed that the SCOPA⁃AUT sore (rs=⁃2.980, P=0.000; rs=⁃3.580, P=0.000) and its subitem of digestive system (rs=⁃2.730, P=0.000; rs=⁃3.160, P=0.000), urinary system (rs=⁃3.000, P=0.000; rs=⁃3.240, P=0.000) and body temperature (rs=⁃0.244, P=0.005; rs=⁃3.270, P=0.000) were negatively correlated with MMSE and MoCA⁃B scores. Conclusions The autonomic nervous dysfunction and its subitem of digestive system, urinary system and body temperature were significant correlated with the cognitive impairment in AD patients. However, there is a lower incidence of OH in AD.
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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 | 0.000 | 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) | 0.001 | 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".