Proceedings of the University of Alabama at Birmingham Continuous Renal Replacement Therapy Academy (2023–2024)
Bibliographic record
Abstract
In this second installment of the proceedings of the University of Alabama at Birmingham Continuous Renal Replacement Therapy (CRRT) Academy, we focus on the topic of transitions of care in acute renal replacement therapy (RRT). Although we have accumulated data from thousands of critically ill patients with AKI randomized to different strategies for RRT initiation, no trial data exist to guide de-escalation of RRT in the intensive care unit. However, for survivors of severe AKI whose kidney function does not recovery rapidly enough to allow for liberation directly from CRRT, successful de-escalation of care requires the transition from CRRT to intermittent RRT modalities. These transition periods must be carefully navigated since they can be a source of complications, such as failure to transition or intradialytic hypotension, which are in turn associated with an increased risk of mortality and reduced odds of kidney recovery. In this review, we focus on the critical factors to consider during de-escalation of RRT care, with a focus on modality transition, the role of volume status in guiding the approach to de-escalation of RRT, and the vital importance of careful dosing of drugs, especially antimicrobial agents, during this transitional period.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.143 | 0.039 |
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".