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Andersen‐Tawil Syndrome: Management Challenges During Pregnancy, Labor, and Delivery

2008· article· en· W2067495327 on OpenAlexaff
Rajesh Subbiah, Lorne J. Gula, Allan C. Skanes, Andrew D. Krahn

Bibliographic record

VenueJournal of Cardiovascular Electrophysiology · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIon channel regulation and function
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineContext (archaeology)PregnancyChildbirthPeriodic paralysisLong QT syndromeSudden cardiac deathHypokalemic periodic paralysisInternal medicinePediatricsHypokalemiaCardiologyQT intervalParalysisSurgeryGenetics

Abstract

fetched live from OpenAlex

Andersen-Tawil syndrome (ATS) is characterized by ventricular arrhythmias, hypokalemic periodic paralysis and developmental anomalies. It is caused by mutations in the KCNJ2 gene that encodes for the alpha-subunit of Kir2.1, a K(+) channel responsible for cardiac repolarization. Providing effective therapy to reduce arrhythmia burden and risk of sudden death is challenging, especially in the context of pregnancy and childbirth. We report a case of a pregnant 27-year-old woman with an R218W mutation in the C-terminal interaction domain of KCNJ2 causing ATS. Regular cardiac and obstetric assessments were performed for the duration of the pregnancy, which carried to term and delivered successfully with potassium replacement and intravenous beta blockade. ATS is a rare and potentially lethal condition in which there is considerable genetic and phenotypic heterogeneity. Effective management strategies are directed at reducing symptoms, arrhythmia burden and sudden cardiac death. This case illustrates the challenges and approach to management of patients with ATS who are pregnant and undergo childbirth.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.667
Threshold uncertainty score0.492

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 head0.010
GPT teacher head0.192
Teacher spread0.182 · 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 designBench or experimental
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

Citations13
Published2008
Admission routes1
Has abstractyes

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