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Record W2907394625 · doi:10.25560/56211

Cognitive impairment and patient reported outcomes in advanced kidney disease

2017· dissertation· en· W2907394625 on OpenAlexaboutno aff
Osasuyi Uyigue Iyasere

Bibliographic record

VenueSpiral (Imperial College London) · 2017
Typedissertation
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsnot available
Fundersnot available
KeywordsCognitive impairmentMedicineCognitionKidney diseaseIntensive care medicineInternal medicinePsychiatry

Abstract

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Shared decision making is now an integral part of renal practice. Quality of life is therefore an important consideration, especially for older patients. This thesis provides insight into the influence of dialysis modality on quality of life in older people with advanced kidney disease. It also explores the relationship between cognitive impairment and dialysis. Firstly, quality of life measures were compared between older patients on assisted peritoneal dialysis and haemodialysis. Patients on assisted peritoneal dialysis were matched to haemodialysis patients by baseline characteristics. Quality of life assessments were carried out quarterly for 2 years. Following multivariate analyses, there was no consistent difference in quality of life between patients on haemodialysis and assisted peritoneal dialysis. The second study assesses the influence of dialysis on cognition and patient reported outcome measures in patients with advanced kidney disease. Patients on haemodialysis, peritoneal dialysis or with chronic kidney disease (eGFR < 30ml/min) patients were recruited. Study participants were assessed 4 monthly for up to 2 years. Mixed model analysis showed that cognitive function declined faster in dialysis patients compared with non-dialysis patients with chronic kidney disease. In the dialysis cohort, executive function was better preserved in patients on peritoneal dialysis compared with haemodialysis patients. Dialysis did not consistently influence trends in patient reported outcome measures during follow up. Finally, the relationship between cognition and decision making capacity was explored in a small pilot of renal patients. Cognition and decision making capacity were assessed by the Montreal Cognitive Assessment and Macarthur Competence Assessment tools respectively. Patients with lower cognitive scores tended to have lower capacity assessment scores, albeit without reaching statistical significance. In older patients with advanced kidney disease, risk factors other than dialysis modality, influence quality of life. Cognitive decline, one such risk factor, may accelerate with dialysis depending on modality. It may also affect decision making. These findings highlight the need to screen for geriatric syndromes in older patients with renal disease.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.612
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.011
GPT teacher head0.288
Teacher spread0.277 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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