Hemolysis due to inadvertent hemodialysis against distilled water: Perils of bedside dialysate preparation
Bibliographic record
Abstract
OBJECTIVE: To describe the physiologic consequences of dialysis against distilled water and to provide recommendations by which other institutions may avoid similar errors in dialysate preparation. DATA SOURCE: Four cases of dialysis against distilled water are described, occurring at three teaching hospitals within a 2-yr period. In addition, an in vitro experiment of banked whole blood exposure to distilled water dialysate was performed. DATA EXTRACTION: Because all four cases occurred within a critical care setting, intensive monitoring of clinical, biochemical, and hematologic abnormalities was possible. DATA SYNTHESIS: Serum sodium decreased by an average of 22 mmol/L, followed by a decrease in hemoglobin averaging 32 g/L. Additional investigations and the in vitro experiment provided evidence that hemolysis occurred primarily via clearance of damaged erythrocytes within the patient's reticuloendothelial system. Physiologic derangements secondary to dialysis against distilled water likely contributed to a stroke suffered by one patient and the death of at least one other patient. CONCLUSIONS: Accidental dialysis against distilled water is a potentially serious but preventable complication of bedside dialysate preparation.
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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 | 0.006 |
| 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 | 0.001 |
| 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".