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Record W4387361632 · doi:10.1210/jendso/bvad114.1347

SAT614 Clinical, Laboratory And Imaging Features Associated With Central Diabetes Insipidus (Arginine Vasopressin Deficiency) In Erdheim-Chester Disease (ECD)

2023· article· en· W4387361632 on OpenAlexaff
Sonal Vaid, Juvianee Estrada‐Veras, William A. Gahl, Patronas Nicholas, Rahul Dave, Bernadette R. Gochuico, Kevin O’Brien, Fady Hannah‐Shmouni, Skand Shekhar

Bibliographic record

VenueJournal of the Endocrine Society · 2023
Typearticle
Languageen
FieldMedicine
TopicHistiocytic Disorders and Treatments
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDiabetes insipidusMedicineErdheim–Chester diseaseInternal medicinePosterior pituitaryHistiocytosisMagnetic resonance imagingGastroenterologyEndocrinologyPediatricsDiseasePituitary glandRadiologyHormone

Abstract

fetched live from OpenAlex

Abstract Disclosure: S. Vaid: None. J. Estrada-Veras: None. W. Gahl: None. P. Nicholas: None. R. Dave: None. B. Gochuico: None. K. O'Brien: None. F. Hannah-Shmouni: None. S. Shekhar: None. Background: Erdheim-Chester disease (ECD) is a rare, non-Langerhans, histiocytic multisystemic disorder commonly associated with somatic pathogenic variants in the BRAF or MAPK pathways. In ECD, diabetes insipidus (DI) is among the most common endocrinopathies and is often the presenting feature. We analyzed the prevalence and the genetic, biochemical, and imaging features associated with DI in subjects with ECD. Methods: A cross-sectional descriptive study of subjects with biopsy-confirmed ECD was conducted from January 2011 to December 2018 at the National Institutes of Health Clinical Center. Subjects underwent molecular genetics, baseline biochemical and pituitary endocrine function studies, and dedicated pituitary MRI. DI was diagnosed based on clinical and biochemical features. Other endocrinopathies were diagnosed based on standardized criteria. Continuous data were analyzed using t-tests or nonparametric tests between subjects with and without DI. Categorical data were analyzed via Fisher's exact tests. Results: Sixty-one subjects with ECD [23 females (37.7%) and 38 males (62.3%)] were evaluated. Twenty-three subjects (38%) had DI, with a higher percentage of males (87%) vs females (13%). DI subjects compared to those without DI were younger [mean (SD):50.1(10.4) vs 57.5 (14.5) years; p=0.01] and had a higher prevalence of BRAF V600E pathogenic variants [76.19% vs 39.47%; p<0.01], lower IGF-1 [mean (SEM):136.5 (13.87) vs 161.67(10.22) ng/mL; p=0.02], and lower urine osmolality [466.6 (±260.18) vs 641.05 (±179.7) mOsm/kg; p<0.01]. DI subjects also had a higher prevalence of central hypogonadism [78% vs 34%; p<0.01], a higher prevalence of panhypopituitarism [39% vs 0%; p <0.01] and a higher number of anterior pituitary deficits [mean (SEM):1.23 (1.15) vs 0.56 (0.67); p =0.01] than non-DI subjects. Subjects with DI had a higher frequency of absent posterior pituitary bright spots [61% vs 21%; p<0.01] compared to those without DI. There were no differences in BMI, serum prolactin, vasopressin, serum osmolality, serum sodium, total cholesterol or hsCRP. The frequencies of central adrenal insufficiency, central hypothyroidism and abnormal pituitary imaging were similar between the two groups. Conclusion: DI is among the most common endocrinopathies in Erdheim-Chester disease. In DI subjects, a higher burden of anterior pituitary endocrinopathies, BRAF V600E pathogenic variants and absence of the posterior pituitary bright spot was noted, which may allow for early stratification and targeted clinical management. Presentation: Saturday, June 17, 2023

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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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.382

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 head0.012
GPT teacher head0.281
Teacher spread0.270 · 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 designObservational
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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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