Treatment of severe hyponatremia with continuous renal replacement therapy: A case and review of corrective strategies
Bibliographic record
Abstract
Treatment of severely hyponatremic patients with continuous renal replacement therapy (CRRT) presents a unique challenge given the lack of commercial options for hypotonic replacement solutions or dialysate. We report the case of a 55-year-old male who presented with profound, symptomatic hyponatremia in the setting of acute kidney injury (AKI). The patient was found to have a serum sodium concentration of 97 mEq/L because of free water retention that occurred during severe AKI from viral gastroenteritis and rhabdomyolysis. Continuous veno-venous hemofiltration (CVVH) was required for AKI complicated by hyperkalemia, metabolic acidosis, and uremia. To prevent overcorrection of serum sodium, replacement fluids customized to natremic status had to be prepared. Conventional replacement fluid was modified on a daily basis to create hypotonic solutions with successively higher sodium concentrations. Over the course of a week, serum sodium successfully improved in a controlled and safe fashion. This case incorporates and reviews the variety of methods that have been used to safely manage severe hyponatremia with CRRT.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".