Contribution of intravenous medication diluent fluid composition on the development of dyschloremia in intensive care unit patients: A retrospective chart review
Bibliographic record
Abstract
Objective: Intravenous solutions such as dextrose 5% in water and 0.9% sodium chloride (normal saline) differ in electrolyte composition from human plasma and may contribute to serum chloride derangements (dyschloremia). This retrospective study aimed to explore the relationship between fluid composition, particularly medication diluents, and dyschloremia development in the intensive care unit. Methods: This was a retrospective chart review of adult intensive care unit patients with normal serum chloride on admission who developed dyschloremia after 48 h of intensive care unit admission. Data were collected on fluid types and volumes administered in the intensive care unit in the 7 days prior to dyschloremia onset. Descriptive statistics and chi-square tests were used to compare characteristics between patients who developed hyperchloremia and hypochloremia. Results: Of 884 screened patients, 85 developed dyschloremia after 48 h (41 hypochloremia, 44 hyperchloremia). There was no significant association between the proportion of normal saline or dextrose 5% in water-containing fluids and the type of dyschloremia. However, dexmedetomidine, typically diluted in normal saline, was associated with hyperchloremia. Conclusion: While total fluid composition was not associated with dyschloremia type, high-volume use of specific diluent-medication combinations may contribute. Strategies to minimize diluent volume could help reduce dyschloremia risk.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".