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Record W4387361410 · doi:10.1210/jendso/bvad114.1432

THU181 Evaluation Of Bone Mineral Density In A Cohort Of Children With ACH Participating In The PROPEL 2 Study Of Infigratinib

2023· article· en· W4387361410 on OpenAlexaff
Ravi Savarirayan, Josep Maria De Bergua, Paul Arundel, Jean‐Pierre Salles, Antonio Leiva‐Gea, Melita Irving, Vrinda Saraff, Helen McDevitt, M. Salcedo, Marc Nicolino, Valérie Cormier‐Daire, Pekka Kannus, Mars Skae, Michael B. Bober, John G. Phillips, Toby Candler, Paul Harmatz, Howard M. Saal, Julie Hoover‐Fong, Elena Muslimova, Terry Cho, Richard Weng, Daniela Rogoff

Bibliographic record

VenueJournal of the Endocrine Society · 2023
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical studies and practices
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

Abstract Disclosure: R. Savarirayan: Advisory Board Member; Self; Ascendis Pharma, BioMarin, QED Therapeutics, Sanofi, Sanofi. Consulting Fee; Self; BioMarin. Grant Recipient; Self; Ascendis Pharma, BioMarin, QED Therapeutics, Therachon. Research Investigator; Self; Ascendis Pharma, BioMarin, QED Therapeutics, Therachon. J. De Bergua: None. P. Arundel: None. J. Salles: None. A. Leiva-Gea: None. M. Irving: Advisory Board Member; Self; Ascendis Pharma, BioMarin, QED Therapeutics, Sanofi, Therachon/Pfizer. Speaker; Self; BioMarin, QED Therapeutics. V. Saraff: None. H. McDevitt: None. M. Salcedo: None. M.P. Nicolino: None. V. Cormier-Daire: Advisory Board Member; Self; BioMarin. P. Kannu: Advisory Board Member; Self; Novartis, Ipsen. Grant Recipient; Self; CIHR. M. Skae: None. M. Bober: Advisory Board Member; Self; Biomarin. Consulting Fee; Self; Ascendis Pharma, Biomarin, Pfizer, QED Therapeutics. Grant Recipient; Self; Ascendis Pharma, BioMarin, Pfizer, QED Therapeutics. Research Investigator; Self; Ascendis Pharma, BioMarin, Pfizer, QED Therapeutics. J. Phillips III: None. T. Candler: None. P. Harmatz: Consulting Fee; Self; Audentes, Aeglea, Homology, JCR, Denali, Inventiva, Paradigm, Capsida, Chiesi, Avrobio. Grant Recipient; Self; BioMarin, Inventiva. Research Investigator; Self; BioMarin, Shire/Takeda, QED Therapeutics, RegenXbio, Denali, Ascendis, Amicus, Allievex, JCR, Orphazyme, Idorsia, Sangamo. H. Saal: Advisory Board Member; Self; Alexion. Grant Recipient; Self; Alexion, BioMarin, Pfizer, QED Therapeutics. Research Investigator; Self; Alexion, BioMarin, Pfizer, QED Therapeutics. J. Hoover-Fong: Consulting Fee; Self; Pfizer/Therachon, BioMarin, QED Therapeutics, Sanofi, Ascendis Pharma. Grant Recipient; Self; Pfizer/Therachon, BioMarin, Ascendis Pharma. Research Investigator; Self; Pfizer/Therachon, BioMarin, Ascendis Pharma. E. Muslimova: Employee; Self; QED Therapeutics. Stock Owner; Self; QED Therapeutics. T. Cho: Employee; Self; QED Therapeutics. Stock Owner; Self; QED Therapeutics. R. Weng: Employee; Self; QED Therapeutics. Stock Owner; Self; QED Therapeutics. D. Rogoff: Employee; Self; QED Therapeutics. Stock Owner; Self; QED Therapeutics. Background: Achondroplasia (ACH) is the most common form of short-limbed skeletal dysplasias and is caused by an activating pathogenic variant of the fibroblast growth factor receptor 3 (FGFR3) gene. People with ACH are at risk for several significant co-morbidities, including foramen magnum stenosis, obstructive sleep apnea, chronic otitis media with conductive hearing loss, spinal stenosis, and a propensity towards obesity. Decreased bone mass has been observed previously in gain-of-function mutation Fgfr3 mice, and adults with ACH can have a decrease in bone mineral density (BMD). Here we describe baseline BMD of a cohort of children with ACH participating in PROPEL 2, a proof-of-concept study evaluating preliminary efficacy and safety of infigratinib, an oral FGFR-1-3 tyrosine kinase inhibitor in development for ACH. Methods: Dual energy X-ray absorptiometry (DXA) scans of the spine (L1-4) were collected at baseline in children participating in PROPEL 2 using a Hologic or GE Lunar scanner following a pre-specified image acquisition procedure. Images were evaluated by a single reviewer. Results are expressed as z-score for age and sex based on average-height children. Results: 52 children (mean±SD age: 7.97±1.9 years; 29 female; mean±SD height z-score: -5.4±1) were included in this analysis. BMD of the lumbar spine was -0.96±0.9 SDS (min -4.1; max 0.7 SDS). No statistical difference was found between males and females. 85% of children (n=44) had a BMD <0 SDS, from which 21 (40%) had a BMD between -2 and < -1 SDS, 18 (35%) presented a BMD between -1 and 0, and 5 (10%) presented a BMD < -2 SDS. Eight children (15%) had a BMD >0 SDS. No correlations were observed between BMD and age, height z-score or BMI. Conclusion: Our findings show that lumbar spine BMD is lower in children with ACH compared with normative data from children of average height. Low BMD in the context of short stature is difficult to interpret, raising the question of the degree to which low bone status can be attributed to smaller bone size relative to age. Even though our findings do not take into account children’s height, no correlation between BMD and baseline height z-score was identified in this cohort, suggesting that the findings may not be solely attributable to overall height. These findings reinforce the need to better understand how to circumvent this limitation in children with skeletal dysplasias in order to improve DXA interpretation and avoid misdiagnoses. Presentation: Thursday, June 15, 2023

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)0.004
metaresearch head score (Gemma)0.001
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 score0.004
Threshold uncertainty score0.162

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.109
GPT teacher head0.421
Teacher spread0.312 · 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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