Safety and performance of the Clearum™ high flux hemodialyzer
Bibliographic record
Abstract
BACKGROUND: Clearum™ is a high flux steam sterilized dialyzer for patients with hemodialysis or hemodiafiltration. This study evaluated the safety and performance of the Clearum high flux steam sterilized hemodialyzer in the removal of small and middle-sized toxins. METHODS: A prospective, interventional, nonrandomized study enrolled twenty end-stage renal disease patients undergoing hemodialysis. The Clearum high flux steam sterilized dialyzer was compared to Fresenius FX dialyzers for baseline comparison. The duration of the trial was 2 weeks for the FX dialyzer and 6 weeks with the Clearum high flux steam sterilized dialyzer. In vitro studies with dextrans of varying sizes were performed to compare the membrane characteristics and sieving coefficient curves for the two dialyzers. RESULTS: The primary objective of a mean urea reduction ratio >65% was met, with no significant difference in mean urea reduction ratio between the Clearum high flux steam sterilized and Fresenius FX-series of dialyzers (p = 0.86). No dialyzer-related adverse events were reported in the study. β-2-microglobulin reduction with the Clearum high flux steam sterilized dialyzer was statistically higher than the FX-series dialyzer (66.5% vs. 53.6%; p < 0.0001). Predialysis interleukin-6 and C-reactive protein concentrations, blood-rest scores (residual blood after blood restitution), and thrombin-anti-thrombin values were comparable. Albumin remained stable during the 6 weeks of Clearum high flux steam sterilized dialyzer use, with no appreciable differences compared to the Fresenius FX-series. CONCLUSION: The Clearum high flux steam sterilized dialyzer showed good mid-term effectivity for small and middle molecule removal with no reported dialyzer-related adverse events.
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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 | 0.002 | 0.003 |
| 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".