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Record W3167849891 · doi:10.1093/ndt/gfab087.0051

MO531IMPACT OF INFLAMMATORY MARKERS IN COGNITIVE IMPAIRMENT IN CHRONIC KIDNEY DISEASE PATIENTS

2021· article· en· W3167849891 on OpenAlexaboutno aff
Merita Rroji, Larisa Shehaj, Myftar Barbullushi

Bibliographic record

VenueNephrology Dialysis Transplantation · 2021
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMontreal Cognitive AssessmentInternal medicineKidney diseaseCognitionRenal functionFerritinPhysical therapyDiseaseCognitive impairmentPsychiatry

Abstract

fetched live from OpenAlex

Abstract Background and Aims Cognitive impairment is an increasingly identified major cause of chronic disability and is commonly found in patients with chronic kidney disease (CKD). Knowledge of the link between kidney dysfunction and impaired cognition may enhance our understanding of risk factors impacting cognitive dysfunction. Our study aimed to evaluate the relation between serum inflammatory markers and the risk of cognitive decline among adults with CKD. Method Forty-six patients predialysis patients CKD stage 5 (mean age 55.6±11.5 years old) accepted to participate in the study. The Montreal Cognitive Assessment (MoCA) scale was administered to patients. Patients with a MoCA global score of 24/30 were considered cognitively impaired. Descriptive analysis was done for the socio-demographic and clinical variables. We measured high-sensitivity C-reactive protein (hs-CRP), ferritin level, albuminemia, and fibrinogen in baseline plasma samples. Results The mean total MoCA score for all the patients was 22.9 ±3.8 points. Thirty-seven patients, 57.7%, were evaluated with CI, where 74.6 % with Mild CI (MCI) and 25.4% with severe CI (SCI) under 20 points). MoCA subscale analysis revealed that the mean score for visuospatial/executive domain and attention were the lowest with 5.41±1.1 /8max and 2.93±1.75/6 max, and scores for orientation were the highest 5.92±0.57/6 max. At baseline, higher levels of each inflammatory marker were associated with poorer age-adjusted performance. In analyses adjusted for baseline cognition, demographics, comorbid conditions, and kidney function, participants in the highest tertile of hs-CRP, the highest tertile of fibrinogen, and the highest tertile of ferritin had an increased risk of impairment in attention compared to participants in the lowest tertile of each marker (p=0.043, p=0.047, p=0.029, respectively. The high level of ferritin was evaluated as a risk of impairment visuospatial/executive ability, and no relationship of inflammatory markers was observed with impairment of orientation p=0.01. hs-CRP and ferritin and low albumin level were independently associated with longitudinal global cognitive function (p=0.04, p=0.02, p=0.49 respectively). Conclusion In CKD patients, we have a relatively high risk for cognitive impairment. Our results extend the findings from prior studies by showing that inflammatory markers used in routine practice contribute and are independently associated with longitudinal changes in some domains of cognitive function in patients with CKD going in parallel with the inflammatory mechanisms that have been implicated in the pathogenesis of vascular and Alzheimer’s dementia.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.283
Teacher spread0.274 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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