DDAVP to prevent rapid correction in hyponatremia.
Bibliographic record
Abstract
Correction of hyponatremia can be complicated by brisk free water diuresis with a rise in the serum sodium (s-Na) in excess of the generally accepted rate of 10-15 mmol/l/24 hours. We describe this complication and its treatment with desmopressin (dD-AVP), in a 56-year-old female with severe hyponatremia secondary to polydipsia and antidiuretic (ADH) activity. The patient developed a large free water diuresis with a markedly dilute urine (urine osmolality 61 mmol/kg) and a rise in the serum sodium of 19 mmol/l in 19 hours despite the addition of large volumes of free water intravenously and orally. To reduce the free water excretion, desmopressin (dD-AVP) 8 microg was given intravenously. This resulted in a rise in the urinary osmolality, a reduction in the urine volume, and a 2 mmol/l reduction in the serum sodium. Thereafter, the serum sodium rose 4 mmol/l in 24 hours. There were no neurological sequellae. In cases of appropriate but rapid correction of hyponatremia secondary to rapid free water diuresis, dD-AVP can safely reduce the free water excretion, slow the rate of correction of the serum sodium and simplify the fluid therapy of the patient.
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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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".