Randomized Trial Demonstrating No Translocation of Intact Intestinal Bacteria During Hemodialysis or Hemodiafiltration
Bibliographic record
Abstract
Introduction: The low incidence of intradialytic hypotension (IDH) in high-volume (HV) hemodiafiltration (HDF) may help in maintaining gut perfusion during treatment. Preservation of gut endothelial integrity would limit or prevent bacterial translocation and subsequent systemic inflammation, which may contribute to the low mortality rate in HV-HDF. Methods: Forty patients were cross-over randomized to standard (hemodialysis [HD]) (S-HD), cool HD (C-HD), and HDF (low-volume [LV] and HV, convection volume (CV) of 15 L and ≥ 23 L per session, respectively), each for 2 weeks. Quantitative assessment of microbial DNA (mDNA) in blood was performed before and after dialysis by 16S to 23S interspace profiling after DNA isolation. The intradialytic acute phase response (APR) was evaluated by high-sensitivity C-reactive protein (hs-CRP), interleukin-6 receptor (IL-6R), soluble CD14 (sCD14), and vascular-cell-adhesion molecule-1 (VCAM-1). Differences between modalities were primary objectives. Results: = 0.004). Conclusion: From this study, we conclude as follows: (i) circulating mDNA could not be demonstrated; (ii) in the crude analysis, a similar APR was noted in all modalities, individual markers remained stable or declined after correction for hemoconcentration; and (iii) because neither bacterial translocation nor an APR was observed in either modality, it is highly unlikely that the superior survival of HV-HDF is explained by a superior preservation of gut integrity.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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) | 0.002 | 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".