Association between trace elements and cognitive function among hemodialysis patients in Turkey
Bibliographic record
Abstract
INTRODUCTION: Cognitive impairment is common among patients with hemodialysis. Hemodialysis patients have theoretical risks for both deficiency and accumulation of trace elements. We aimed to investigate the relationship between cognitive dysfunction and whole blood levels of trace elements in hemodialysis patients. We also aimed to examine the effect of baseline trace element status and cognitive dysfunction on mortality. METHODS: Maintenance hemodialysis patients and age-and sex-matched controls were included. The whole blood levels of trace elements were measured by inductively coupled plasma mass spectrometry. Cognitive impairment was defined as a score of ≤24 points on the Montreal Cognitive Assessment test. Executive dysfunction was also defined as Trails A score of more than 75 s and Trails B score of more than 180 s. FINDINGS: Forty-two patients and 35 controls were included. Cognitive impairment was detected in 69% of the patients and 45.7% of the controls (p = 0.039). Cognitively impaired patients had lower education years (p = 0.003) and higher whole blood levels of manganese (Mn) and lead (Pb) (p = 0.026, p = 0.019, respectively) compared to patients without cognitive impairment. Mn levels were also found statistically higher in patients with executive dysfunction compared to patients without executive dysfunction (p = 0.005). Lower education years and higher Pb levels were independent risk factors for cognitive impairment in hemodialysis patients (odds ratio [OR] 0.589 [95% confidence interval, CI 0.400-0.866, p = 0.007] and OR 1.047 [95% CI 1.001-1.096, p = 0.047, respectively]). DISCUSSION: Cognitive impairment, especially impaired executive function, is common among patients with hemodialysis patients. Cognitive impairment is not found to be associated in cross-sectional analysis with several modifiable end-stage renal disease- and dialysis-associated factors. The accumulation of trace elements especially Mn and Pb might exacerbate the cognitive dysfunction in hemodialysis patients.
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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 | 0.001 | 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".