Correlation between serum complement C3 levels and cognitive dysfunction in patients with end-stage renal disease
Bibliographic record
Abstract
ObjectiveTo explore the correlation between complement level of C3, other risk factors and cognitive dysfunction in patients with end-stage renal disease (ESRD).MethodsFrom July 2019 to July 2021, medical records and laboratory examinations were collected from 92 ESRD patients. Serum levels of C3 and C4 were detected by immunoturbidimetry. The Montreal Cognitive Assessment scale (MoCA) was employed for assessing the level of cognitive function. According to MoCA score, they were divided into two groups of cognitive impairment (MoCA score <26) and non-cognitive impairment (MoCA score ≥26). General profiles, laboratory parameters, scale scores and serum levels of complements C3 and C4 of two groups were compared. Multivariate Logistic stepwise regression analysis was utilized for examining whether or not serum level of complement C3 was an independent influencing factor of cognitive dysfunction.ResultsAmong them, 55(59.78%) had cognitive dysfunction. Differences in age, education duration, serum creatinine, estimated glomerular filtration rate (eGFR), serum phosphorus, calcium-phosphorus product, serum albumin, prognosis of nutrition index, total cholesterol, low-density lipoprotein cholesterol, serum iron, C-reactive protein (CRP) and HAMA/HAMD score were statistically significant (<italic>P</italic><0.05). Inter-group comparison of serum complement level indicated that serum level of complement C3 had statistical significance (<italic>P</italic><0.05) while serum level of complement C4 had no statistical significance (<italic>P</italic>>0.05). Multivariate Logistic stepwise regression analysis revealed that except for education duration (<italic>OR</italic>=0.792, <italic>P</italic>=0.032), depression degree (<italic>OR</italic>=1.252, <italic>P</italic>=0.006) and eGFR level (<italic>OR</italic>=0.745, <italic>P</italic>=0.005), serum level of complement C3 (<italic>OR</italic>=1.041, <italic>P</italic>=0.021) was also an independent influencing factor of cognitive function. Elevated serum level of complement C3 was an independent risk factor for cognitive dysfunction in ESRD patients.ConclusionThe incidence of cognitive dysfunction remains high in ESRD patients and it is affected by many factors. And a rising serum level of complement C3 may be closely correlated with the occurrence of cognitive dysfunction.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.038 | 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".