Longer Dialysis Times Are Associated With a Lower Chance of Dementia Among Chronic Hemodialysis Patients
Bibliographic record
Abstract
Dementia is common in chronic hemodialysis (HD) patients and is associated with a higher mortality. Factors associated with dementia in HD patients are not clear. We investigated factors associated with early dementia in HD patients. Chronic HD patients of 27 hemodialysis centers were enrolled in 2013. Early dementia was identified using the AD8 assessment. Factors associated with early dementia were analyzed using logistic regression. A total of 1617 chronic HD patients including 820 males and 797 females, aged 63.3 ± 13 years, dialyzed for 4 (1.8-8.4) years were analyzed. Early dementia was identified in 414 (25.6%) of the patients. Longer HD times were associated with a lower chance of dementia (P = 0.032), with an adjusted odds ratio (OR) of 0.522 (95% confidence interval [CI]: 0.270-0.969) for every one more hour of HD. Patient's age (OR: 1.587, 95% CI: 1.406-1.791, P < 0.001), body mass index (OR: 0.958, 95% CI: 0.921-0.996, P = 0.031), cerebrovascular accident (OR: 1.480, 95% CI: 1.000-2.188), diabetes (OR: 1.894, 95% CI: 1.390-2.581, P < 0.001), and serum albumin (OR: 0.376, 95 % CI: 0.256-0.553, P < 0.001) were independently linked to early dementia. Short hemodialysis times are associated with early dementia in a chronic hemodialysis population with a quarter of patients having early dementia. Patients' age, nutrition status and comorbidity are independently linked to early dementia.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 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 teacher head, 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".