Correlation of serum lipids and glycosylated hemoglobin with cognitive function in peritoneal dialysis patients
Bibliographic record
Abstract
Objective To explore the relevant factors affecting cognitive function in continuous ambulatory peritoneal dialysis (CAPD) patients and evaluate the relationship between blood lipids and glycosylated hemoglobin and cognitive function in CAPD patients. Methods From January 2021 to December 2022, the relevant clinical data were reviewed for 312 clinically stable patients on a regular dialysis for more than 3 months. Overall cognitive function was evaluated by Montreal Cognitive Assessment (MoCA). Trail-Making test A was utilized for evaluating executive functions. Also the relationship was examined between factors such as lipids and glycated hemoglobin and cognitive functions. Results The incidence of cognitive impairment in CAPD patients at peritoneal dialysis center of our hospital was 36.9%. Age [(56.99±9.80) years vs (44.93±11.64) years], glycated hemoglobin [5.5(5.2, 6.08)% vs 5.1(4.8, 5.6)%], serum potassium [4.2(3.9, 4.6）mmol/L vs 4.1 (3.8, 4.4）mmol/L] and low-density lipoprotein cholesterol (HDL-C) [2.55(2.13, 3.04) mmol/L vs 2.43 (2.01, 2.70) mmol/L] were higher in cognitive impairment group than those in non-cognitive impairment group. Education level, total iron binding capacity [50.4(45.0, 55.6) μmol/L vs 52.4(47.2, 59.1) μmol/L] and serum level of albumin [(36.0±3.9) g/L vs (37.1±3.8) g/L] were lower in cognitive impairment group ( P < 0.05). Serum albumin and education level were correlated positively with MoCA score ( r = 0.126, P = 0.025; r = 0.216, P < 0.001). Age and glycated hemoglobin were negatively correlated with MoCA score ( r = -0.547, P < 0.001; r = -0.264, P < 0.001). Age was correlated positively with TMT-A time ( r = 0.126, P < 0.001) while serum sodium and education level were correlated negatively with TMT-A time ( r = −0.157, P = 0.046; r = −0.244, P = 0.002). No correlation existed between lipids, MoCA score and TMT-A time ( P > 0.05). Further analysis revealed a significant difference in HDL-C between two groups ( P < 0.05) while correlation analysis indicated that HDL-C was not correlated with CI ( r = 0.156, P > 0.05). Age, education level, serum albumin and HbA1c were the influencing factors of cognitive function. Serum albumin was a protective factor of cognitive function ( OR = 0.978, 95% CI: 0.917-1.040). Age, education level and HbA1c ( OR = 1.203, 95% CI: 1.176-1.230; OR = 5.565, 95% CI: 1.962-15.789; OR = 1.694, 95% CI: 1.348-2.040) were risk factors for cognitive function. Receiver operating characteristic (ROC) curves of HbA1c and serum albumin showed an area under the curve (AUC) of 0.651 (95% CI: 0.570-0.732) and 0.583 (95% CI: 0.518-0.648) with predictive values for cognitive impairment. Jordon index was the largest (0.315) when HbA1c definition value was 5.15%. At a defined value of serum albumin 35.6 g/L, Jordon index was the largest (0.149). Conclusions For CAPD patients, blood lipid is not a risk factor for cognitive function. Glycated hemoglobin A1c is a risk factor for cognitive function so that monitoring and controlling its level may lower the risk of cognitive impairment in CAPD patients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".