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Record W3080614782 · doi:10.1515/jpem-2020-0219

Risk of adrenal insufficiency following intra-articular or periarticular corticosteroid injections among children with chronic arthritis

2020· article· en· W3080614782 on OpenAlexaff
Justine Turmel-Roy, Marc-Antoine Bédard, Maude Millette, David Simonyan, Jean‐Philippe Proulx‐Gauthier, Isabelle Rousseau-Nepton

Bibliographic record

VenueJournal of Pediatric Endocrinology and Metabolism · 2020
Typearticle
Languageen
FieldMedicine
TopicAdrenal Hormones and Disorders
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineUniversité Laval
Fundersnot available
KeywordsMedicineAdrenal insufficiencyMorningArthritisCohortPediatricsCorticosteroidACTH stimulation testInternal medicinePhysical therapyAdrenocorticotropic hormoneHormone

Abstract

fetched live from OpenAlex

Objectives Intra-articular and/or periarticular corticosteroid injection (IACI) is a common procedure in pediatric rheumatology. Despite many adult studies demonstrating a significant risk of adrenal insufficiency (AI) following the procedure, very little evidence is available in the pediatric literature regarding this risk. The main goal of this study is to evaluate the prevalence of AI in children with chronic arthritis following IACI. Methods This is a retrospective study including children aged 0-18 years who had an IACI from June 2017 to July 2019. An 8:00 morning cortisol (8MC) sample was drawn around two weeks after the injection, and an ACTH 1mcg stimulation test was performed if morning cortisol level was low. AI was defined as an 8MC under 50 nmol/L or an abnormal ACTH stimulation test. Risks factors for AI and its duration were assessed. Results Sixty patients were included in this study. AI prevalence was 30% with 18 of 60 affected patients. The corticosteroid dose injected was statistically associated with the development of AI. Median duration of AI was 181 days for the nine patients who were followed up until resolution of AI. Four patients developed symptoms of AI, namely fatigue (2 of 4), nausea (2 of 4) and abdominal pain (3 of 4). None were hospitalized or died. Conclusions In this cohort of children with chronic arthritis who had an IACI, we found a high prevalence of AI. Monitoring and counseling of such complication is warranted until further evidence is available.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.497

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.008
GPT teacher head0.229
Teacher spread0.222 · 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".

Quick stats

Citations3
Published2020
Admission routes1
Has abstractyes

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