Correction of hyponatremia by infusing D5W (5% dextrose in water solution) prefilter in patients receiving continuous renal replacement therapy: A case series
Bibliographic record
Abstract
Patients with severe hyponatremia and renal failure who require continuous renal replacement therapy (CRRT) are at risk for overcorrection of their sodium level due to preformulated isotonic replacement or dialysate fluids. Rapid correction of hyponatremia can lead to serious neurologic complications including osmotic demyelination syndrome (ODS). There is limited data available in preventing overcorrection of severe hyponatremia with CRRT. It has been proposed to use reduced effluent volume to avoid overcorrection. However, there are instances where the CRRT prescription cannot be reduced due to other metabolic derangements. Herein, we present four cases using a calculated amount of dextrose 5% solution (D5W) prefilter as preblood pump to prevent overcorrection of hyponatremia while delivering recommended effluent volume of at least 20-25 mL/kg/hr in majority of cases. In each case, the rate of sodium correction did not exceed 8 mEq/day using D5W prefilter. Even in patients whose hyponatremia was initially overcorrected, adding calculated amount of amounts of D5W prefilter decreased the sodium level back down to prevent the risk of ODS. We also review a simplified equation to determine the D5W rate depending on the prescribed effluent volume.
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 | 0.000 | 0.000 |
| 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) | 0.000 | 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".