Hemodialysis leads to plasma depletion of lectin complement pathway initiator molecule ficolin‐2
Bibliographic record
Abstract
INTRODUCTION: This study aimed to investigate changes in complement system-related molecules in patients undergoing hemodialysis. METHODS: , respectively, Polyamix and Polysulfone, and the Kt/V was maintained >1.3. FINDINGS: Three hundred and four patients were included. There was a modest decrease in plasma level of ficolin-1 (p < 0.001). Ficolin-2 was virtually depleted with median 3.9 (interquartile range [IQR]: 2.6-6.1, range 0.3-13.5) μg/ml before dialysis to median 0.0 (IQR: 0.0-0.5, range 0.0-5.5) μg/ml after dialysis (p < 0.001). No significant difference before and after hemodialysis was seen for mannose-binding lectin and long pentraxin 3 (p > 0.05). In a random subgroup of 160 patients ficolin-2-binding, ficolin-3-mediated lectin pathway capacity and classical pathway capacity were significantly decreased due to hemodialysis. The complement capacity of the alternative pathway was increased after hemodialysis (p = 0.0101), while mannose-binding lectin-mediated lectin pathway capacity was unaltered (p = 0.79). There was an increase in the complement activation product C3c (p < 0.0001), while the concentration of total C4 and C3 did not change (p > 0.158). Multivariate Cox proportional hazard analyses showed an increased risk for all-cause mortality with increasing ficolin-2 (p = 0.002) after hemodialysis. DISCUSSION: Plasma ficolin-2 was virtually depleted from the circulation after hemodialysis. However, elevated plasma ficolin-2 levels after hemodialysis was independently associated with increased mortality.
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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 | 0.001 |
| 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) | 0.001 | 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".