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Record W4380626329 · doi:10.1093/ndt/gfad063c_5133

#5133 MONTREAL COGNITIVE ASSESSMENT (MOCA) AND DYSMORPHIC RED BLOOD CELLS IN PATIENTS WITH IMMUNOGLOBULIN A NEPHROPATHY

2023· article· en· W4380626329 on OpenAlexaboutno aff
Анна Попова, Marija Halturina, Kārlis Rācenis, Mikus Saulīte, Jānis Seilis, Anna Jana Saulīte, Aivars Pētersons, Juta Kroiča, Harijs Čerņevskis, Kristīne Oļeiņika, Baiba Šlisere, Aivars Lejnieks, Viktorija Kuzema

Bibliographic record

VenueNephrology Dialysis Transplantation · 2023
Typearticle
Languageen
FieldMedicine
TopicRenal Diseases and Glomerulopathies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAlbuminuriaRenal functionInternal medicineMontreal Cognitive AssessmentNephrologyProteinuriaDiabetic nephropathyKidney diseaseNephropathyDialysisGastroenterologyDementiaDiabetes mellitusEndocrinologyKidneyDisease

Abstract

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Abstract Background and Aims Patients with chronic kidney disease (CKD) are at an increased risk of cognitive dysfunction, which is characterized by deficits in executive functions, memory and attention. Previous studies have suggested that albuminuria and lower estimated glomerular filtration rate (eGFR) are related to mild cognitive impairment (MCI) and dementia. There are no studies that have noticed connection between glomerular activity presented by dysmorphic red blood cells (RBC) count and cognitive evaluation results. The aim of the study was to investigate the association of cognitive decline with renal function and other possible risk factors such as albuminuria, proteinuria, and hematuria in patients with immunoglobulin A nephropathy (IgAN). Method A prospective study that took place from January 2020 till January 2022 at Pauls Stradins Clinical University Hospital Nephrology center included patients with IgAN. Diabetes mellitus, oncology, acute inflammation processes, transplantation in anamnesis were exclusion criteria. Demographic, anamnestic, clinical, laboratory data for renal function evaluation were collected. GFR was calculated using CKD-EPI Creatinine Equation. Urine spot protein/creatine ratio was used for proteinuria measurement. Urine microscopy was performed by a nephrologist. Patients were assessed with a MoCA. Results of MoCA have been compared with potential risk factors. Results Sixty-five patients were included in the study. The mean age of the participants was 42.06 ± 10.71 years (IQR 35-47.75; range, 21-65), with predominance of male sex (62.1%), mainly with higher education (45.5%). Dialysis was performed in 7 patients. The average duration of illness was 89.97 months ± 97.95 (IQR 31.5-120, range 1-456 months/38 years). Average GFR was 59.26 ± 38.66 (IQR 20.25-91.75, range 3-131) ml/min/1,73m2, urea 12.57± 9.88 (IQR 6.3-15.45, range 4-62). Patients did not have anemia, average hemoglobin 135.20± 14.8. Average proteinuria was 0.53±0.99 g/g (IQR 0.064-0.52, range 0.06-6.20), albuminuria - 69.34±107.3 g/mol (IQR 10.95-69.4, range 0.45-620). Average hematuria was 116.68±239.67 RBC/mkl (IQR 9.9-92.1, range 1.5-1421.3), while dysmorphic RBC count was 4.02±12.08 RBC/hpf (IQR 0-2.5, range 0-80). MoCA ≤ 26 was observed in 41% of the patients. The MoCA total score have moderate correlation with the patients age (p = 0.01, r = -0.39). Patients age correlated with memory task score (p = 0.002, r = -0.42). Dysmorphic RBC count in urine sediment corelated with attention task (p = 0.002, r = -0.42). Conclusion Mild cognitive impairment is frequent even in our young age IgAN patient's cohort. Even small age difference plays role in MoCA evaluation score. No correlations have been found between proteinuria or albuminuria and MoCA score. Association between dysmorphic RBC and cognitive decline should be studied in bigger cohorts’ studies.

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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)0.001
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 score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.005
GPT teacher head0.230
Teacher spread0.224 · 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
Published2023
Admission routes1
Has abstractyes

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