MP595THE CEREBROVASCULAR AND NEUROCOGNITIVE EFFECTS OF HAEMODIALYSIS
Bibliographic record
Abstract
INTRODUCTION AND AIMS: Stroke and cognitive impairment are common in the haemodialysis (HD) population. It is possible that HD induced alterations in the cerebral circulation contribute. We assessed cognitive function in HD patients to describe the frequency of occult cognitive impairment, and performed assessments both on & off dialysis to explore if changes in cerebral blood flow during HD affect cognitive function. METHODS: We performed a prospective cohort study in adult patients receiving HD for established renal failure (ERF). Those with known cerebrovascular or cognitive impairment were excluded. A detailed neurocognitive assessment was performed during a routine dialysis session and on a non-dialysis day (with a 4 week gap to reduce learning effect). Cognitive testing included use of the Montreal Cognitive Assessment (using an accepted cut-off to define cognitive impairment) and additional tests of language, memory, processing speed and executive function. Mean flow velocity (MFV) was measured in the middle cerebral artery during dialysis using Transcranial Doppler ultrasound. We compared cognitive function and MFV on and off dialysis and assessed the relationship between any changes using Spearman’s rank correlation. RESULTS: 97 participants were enrolled (median age 59 [IQR 51, 67] years, 40% female, median duration of ERF 1.76 years [IQR 0.6, 3.98]. 88 participants attended both visits. Cognitive impairment was present in 44 participants (50%). Those with CI were more likely to have a history of hypertension (95.5 v 81.8%) and a higher recorded mean systolic blood pressure (148.3 vs 132.4mmHg) than those without (p<0.05). MFV declined during dialysis (mean; 49.8 to 43.21cm/s, p<0.001). Changes in MFV correlated with UF volume and presence of diabetes but not change in blood pressure. Participants scored lower on tests of processing speed and executive function during dialysis when compared to their non-dialysis day scores. Decline in test scores for language and executive function significantly correlated with the dialysis-related fall in MFV, p<0.05. CONCLUSIONS: Occult cognitive impairment is common and cognitive function was demonstrably worse during dialysis. Cerebral blood flow is reduced during HD and relates to UF volume and the decline in cognitive function seen. Ongoing study is examining whether the changes in MFV and cognitive function are related to long term decline in cognitive function.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".