Cognitive Dysfunction in Patients with Chronic Kidney Disease
Bibliographic record
Abstract
<br>Cognitive impairment is a common entity in patients with chronic kidney disease (CKD), which plays an important role in increasing the morbidity in these patients. This study was performed to evaluate cognitive dysfunction and its severity in different stages of CKD and identify the correlation with factors affecting this dysfunction. A cross-sectional design study was conducted on 100 patients with CKD Stage III to V-D fulfilling the eligibility criteria. Cognitive status was assessed using the mini-mental state examination (MMSE) and Montreal cognitive assessment (MoCA) tests. The patients were divided into four groups according to their estimated glomerular filtration rate (eGFR); Group A with eGFR ranging between 30 and 59 mL/min/1.73 m<sup>2</sup>, Group B with eGFR between 15 and 29 mL/min/1.73 m<sup>2</sup>, Group C with eGFR <15 mL/min/1.73 m<sup>2</sup> not on hemodialysis (HD), and Group D with eGFR <15 mL/min/1.73 m<sup>2</sup> and on HD for the past six months. Factors affecting MMSE and MoCA scores were assessed using univariate and multivariate linear regression analysis. Mean MMSE score was 28.72 ± 1.37 in Group A, 26.00 ± 3.67 in Group B, 20.76 ± 4.84 in Group C, and 17.28 ± 3.32 in Group D, which showed a statistically significant difference. The mean MoCA score also showed a statistically significant decline from Group A to Group D with values being 26.36 ± 1.91, 24.56 ± 1.94, 22.08 ± 2.12 and 20.12 ± 1.81, respectively (P < 0.05). The MMSE and MoCA scores were found to have a statistically significant positive correlation with hemoglobin; serum corrected calcium and eGFR (P < 0.01) and statistically significant negative correlation with blood urea, serum creatinine, serum uric acid, serum phosphate, serum potassium and stage of CKD (P < 0.01). By raising the clinician’s awareness about cognitive dysfunction in CKD patients and its potential effects on medication, fluid and, dietary compliance improved quality of care is expected. Early intervention will improve the patient’s quality of life.<br>
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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".