Correlation between serum Visfatin and cognitive impairment in maintenance hemodialysis patients
Bibliographic record
Abstract
ObjectiveTo study the correlation between serum Visfatin and cognitive impairment （CI） in maintenance hemodialysis （MHD） patients.MethodsIt was a cross-sectional study. From July 1， 2023 to January 31， 2024， baseline characteristics of MHD patients treated in the Beijing Luhe Hospital，Capital Medical University were collected. Serum level of Visfatin was evaluated using fasting blood samples. Cognitive function was assessed using the Montreal cognitive assessment scale （MoCA）. According to the results of MoCA， the patients were divided into cognitive impairment （CI） group and non-CI group. Clinical characteristics were compared between groups. Multivariate logistic regression was employed for analyzing the independent influencing factors for CI. Receiver operating characteristic （ROC） curve was used to analyze the predictive value of influencing factors for CI in MHD patients.ResultsTotally 146 MHD patients were enrolled in this study and divided into non-CI group （n=46） and CI group （n=100）. Compared to the non-CI group， patients in the CI group had significantly older age ［66.00（57.25，71.00）years vs 45.50（40.00，56.25）years］， higher proportion of diabetes （56% vs 32.6%）， Visfatin level ［13.35（7.68，24.68）μg/L vs 7.46（4.46，14.07）μg/L］， blood sugar ［（11.13 ± 5.34）mmol/L vs （9.17 ± 4.46）mmol/L］， body mass index ［24.29（21.24，26.21）kg/m2 vs 21.36（19.94，24.85）kg/m2］， and C-reactive protein［（16.60 ± 23.37）mg/L vs （8.24 ± 10.41）mg/L］ （P<0.05）. Patients in the CI group had significantly lower education years［9.00（6.00，9.00）years vs 12.00（9.00，12.75）years］， albumin （Alb）［40.35（37.70，42.18）g/L vs 42.15（40.28，44.58）g/L］， serum creatinine ［731.00（632.75，876.00）μmol/L vs 951.00（828.75，1102.50）μmol/L］， blood sodium ［136.5（135.0，138.0）mmol/L vs 137.5（136.0，139.0）mmol/L］， and blood phosphorus ［（1.68 ± 0.52）mmol/L vs（1.90 ± 0.57）mmol/L］ than non-CI group （P<0.05）. Multivariate logistic regression analysis showed that increasing age， high Visfatin level， low education level and Alb level were independent risk factors for CI in MHD patients. ROC curve showed that the area under the curve （AUC） of Visfatin for predicting CI in MHD patients was 0.714 （P<0.01）， with the sensitivity of 71.7% and the specificity of 75.0%， which had high predictive value. When Visfatin， Alb， age and education level were combined， the AUC for predicting CI was 0.87， the sensitivity was 78.0% and the specificity was 84.8% （P < 0.01） which performed better in the predictive value than any single indicator.ConclusionFor MHD patients， high Visfatin level is an independent risk factor for CI， which may become a biological indicator for predicting CI.
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 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 | 0.001 |
| 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 | 0.000 |
| 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".