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Record W75337935

DDAVP to prevent rapid correction in hyponatremia.

2000· article· en· W75337935 on OpenAlexaff
Mark Goldszmidt, Eduard A. Iliescu

Bibliographic record

VenuePubMed · 2000
Typearticle
Languageen
FieldMedicine
TopicElectrolyte and hormonal disorders
Canadian institutionsKingston General Hospital
Fundersnot available
KeywordsHyponatremiaMedicineUrine osmolalityAntidiureticDesmopressinDiuresisFree water clearanceEndocrinologyInternal medicineSodiumVasopressinNatriuresisFree waterPolyuriaUrineExcretionRenal functionChemistry
DOInot available

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.987
Threshold uncertainty score0.381

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.011
GPT teacher head0.220
Teacher spread0.209 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreEmpirical

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".

Quick stats

Citations29
Published2000
Admission routes1
Has abstractyes

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