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825 Symptomatic glucocorticoid -induced adrenal suppression (AS) in the UK and Ireland- results of a BPSU study

2023· article· en· W4381144509 on OpenAlexaboutno aff
Hannah Barlow, Laura Lane, Amanda J. Drake, Kali Kanthagnany, Harriet Miles, Pooja Sachdev, Tim Cheetham, Claire Wood

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicAdrenal Hormones and Disorders
Canadian institutionsnot available
FundersMedical Research Council
KeywordsMedicineIncidence (geometry)Adrenal crisisMorningGlucocorticoidPediatricsCortisol awakening responseAdrenal insufficiencyDexamethasoneInternal medicineHydrocortisone

Abstract

fetched live from OpenAlex

Objectives Paediatricians prescribe glucocorticoids (GC) for a range of conditions with an associated risk of suppression of the hypothalamo-pituitary adrenal axis. We assessed this clinical problem objectively using the British Paediatric Surveillance Unit (BPSU) methodology. We aimed to identify any patient under 16 years of age whose symptoms or signs partly or entirely reflected abnormally low endogenous adrenal cortisol production arising because of recent or ongoing GC administration (adrenal suppression, AS). Specific study aims were to: Determine incidence of GC-induced AS Describe characteristics of patients developing AS including adrenal crisis Gauge how this was managed Determine whether there were factors that might prevent patients from becoming unwell in future. Methods This prospective BPSU study was conducted between September 2020 and September 2022 using monthly reporting cards sent to all paediatricians in the UK and Ireland. Once the study team were informed of a case, an electronic questionnaire was sent and information collected online using RedCAP software. Responses were evaluated by a multi-centre study team. Data was included on those with symptomatic adrenal suppression with supportive biochemical evidence (Low morning cortisol or suboptimal Synacthen test.) Infants less than 6 months of age who were born preterm (<37 weeks gestation) were excluded. Results 19 cases of AS and 1 adrenal crisis were identified, giving an estimated annual incidence of 0.1 cases per 100,000 0–15 year olds. Case characteristics are shown in table 1. Asthma was the most prevalent condition for which GC were prescribed. The presentations of AS included lethargy/extreme fatigue in 13 cases (68%), infections in 6 (32%), hyponatraemia in 4 (21%), hypotension in 3 (16%), and hypoglycaemia in 2 (11%). 1 patient presented in adrenal crisis. The majority of patients were subsequently commenced on replacement GC and gradually weaned with subsequent biochemical re-testing. Conclusion The incidence of GC- induced AS of 0.1 per 100,000 young people is lower than other studies1 and suggests that paediatricians in the UK and Ireland are aware of the potential for this problem to develop and take steps to prevent this. This study highlights, nevertheless, the wide variety of conditions, routes of GC and the broad spectrum of symptoms and signs that can develop in patients with AS. There is scope to further educate families and healthcare professionals with a view to reducing the likelihood of patients developing symptoms due to AS. Reference Goldbloom EB, et al. Symptomatic adrenal suppression among children in Canada. Arch Dis Child 2017;102:340–5.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.048
Threshold uncertainty score0.095

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.022
GPT teacher head0.310
Teacher spread0.287 · 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 source (direct Gemma or distilled Codex), 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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