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Record W2590886498 · doi:10.14740/jocmr2933w

Does Accidental Overcorrection of Symptomatic Hyponatremia in Chronic Heart Failure Require Specific Therapeutic Adjustments for Preventing Central Pontine Myelinolysis?

2017· review· en· W2590886498 on OpenAlexvenueno aff
Renato De Vecchis, Michel Noutsias, Carmelina Ariano, Arturo Cesaro, Carmela Cioppa, Anna Giasi, Nicola Maurea

Bibliographic record

VenueJournal of Clinical Medicine Research · 2017
Typereview
Languageen
FieldMedicine
TopicElectrolyte and hormonal disorders
Canadian institutionsnot available
Fundersnot available
KeywordsHyponatremiaMedicineVasopressin AntagonistsCentral pontine myelinolysisIntensive care medicineHeart failureTolvaptanHypertonic salineFurosemideInternal medicineAntagonist

Abstract

fetched live from OpenAlex

This review aims at summarizing essential aspects of epidemiology and pathophysiology of hyponatremia in chronic heart failure (CHF), to set the ground for a practical as well as evidence-based approach to treatment. As a guide through the discussion of the available evidence, a clinical case of hyponatremia associated with CHF is presented. For this case, the severe neurological signs at presentation justified an emergency treatment with hypertonic saline plus furosemide, as indicated. Subsequently, as the neurological emergency began to subside, the reversion of the trend toward hyponatremia overcorrection was realized by continuous infusion of hypotonic solutions, and administration of desmopressin, so as to prevent the very feared risk of an osmotic demyelination syndrome. This very disabling complication of the hyponatremia correction is then briefly outlined. Moreover, the possible advantages related to systematic correction of the hyponatremia that occurs in the course of CHF are mentioned. Additionally, the case of tolvaptan, a vasopressin receptor antagonist, is concisely presented in order to underline the different views that have led to different norms in Europe with respect to the USA or Japan as regards the use of this drug as a therapeutic resource against the hyponatremia.

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)0.011
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.976
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.004
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 head0.287
GPT teacher head0.566
Teacher spread0.279 · 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.

Study designOther design
Domainnot available
GenreReview

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

Citations9
Published2017
Admission routes1
Has abstractyes

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