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Record W4411732967 · doi:10.1093/bjd/ljaf085.126

P098 Asthma control in patients receiving systemic therapy for atopic eczema: results from the UK Atopic eczema Systemic TherApy Register (A-STAR)

2025· article· en· W4411732967 on OpenAlexaff
Man Fung Tsoi, Elizaveta Gribaleva, David Prieto-Merino, Rebecca Carroll, Bolaji Coker, Manisha Baden, Paula Beattie, Tim Burton, Ross Hearn, John R Ingram, Alan D. Irvine, G.A. Johnston, Irene Man, Graham S. Ogg, Mandy Wan, Richard B. Warren, Richard Woolf, Nick J. Reynolds, Michael R. Ardern‐Jones, Carsten Flohr

Bibliographic record

VenueBritish Journal of Dermatology · 2025
Typearticle
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsInstitute of Infection and Immunity
FundersNIHR Newcastle Biomedical Research CentreDirectorate for Biological SciencesNewcastle UniversityUniversity of ManchesterUniversity of OxfordKing's College LondonUniversity of SouthamptonNational Institute for Health and Care Research
KeywordsSystemic therapyMedicineRegister (sociolinguistics)AsthmaDermatologyPediatricsImmunologyInternal medicine

Abstract

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Abstract Asthma is one of the common comorbidities associated with atopic eczema (AE). Systemic medications used for treating AE have immunomodulatory effects, which might also impact asthma control. We evaluated asthma control in A-STAR patients initiating systemic immunomodulatory therapy who also had a physician’s diagnosis of asthma. A-STAR is a prospective longitudinal register evaluating the effectiveness and safety of systemic medications in patients with AE. For this analysis, inclusion criteria consisted of patients ≥ 12 years old with physician-diagnosed asthma who completed the validated Asthma Control Test (ACT) questionnaire. The ACT was completed at baseline and week 16 (± 4 weeks), enquiring about asthma control in the past 4 weeks. An ACT score of 20–25 is considered an indicator of well-controlled asthma. Adjusted logistic regression was used to identify predictors of achieving good asthma control at week 16. Adjusted odds ratios and corresponding 95% confidence intervals were estimated. In total, 303 A-STAR register patients with concurrent asthma were included in the analysis, with a mean age of 33.6 years (SD 3.6); 58.2% were female and 41.8% were male. Treatments initiated at enrolment included dupilumab (n = 148), methotrexate (n = 66), Janus kinase inhibitors (abrocitinib or upadacitinib, n = 52) and ciclosporin (n = 37). At baseline, the mean Eczema Area and Severity Index and ACT scores were 19.5 (SD 2.4) and 20.3 (SD 0.6), respectively. More than 50% of patients had well-controlled asthma at baseline in each drug group. At week 16, there was no significant change in asthma control, with a mean (SD) ACT of 20.0 (0.8). In multivariable regression analysis, prescription of dupilumab and higher baseline ACT scores were associated with good asthma control at week 16 (ACT 20–25; Table). Overall, there was no significant change in asthma control between baseline and week 16 with any of the examined systemic treatments. However, patients with dupilumab and higher ACT score were more likely to achieve good asthma control at 16 weeks. We plan further, similar analyses on individual drug groups in relation to asthma control, as the number of A-STAR patients in individual drug groups increases over time, enhancing statistical power.TablePredictors of achieving good asthma control (Asthma Control Test 20–25) at week 16 in multivariable analysisVariableAdjusted odds ratio (95% confidence interval)aDrug groupJanus kinase inhibitors1 (reference)Ciclosporin3.32 (0.69–17.0)Dupilumab3.34 (1.28–9.03)*Methotrexate2.89 (0.78–11.4)Baseline asthma control test score1.31 (1.20–1.45)**P < 0.05. aAdjusted for baseline Eczema Area and Severity Index and Patient-Oriented Eczema Measure, number of prior oral systemic treatments, sex, age of atopic eczema onset, age of drug initiation and Fitzpatrick skin type.

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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)0.004
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 score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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)0.0030.001

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 head0.011
GPT teacher head0.256
Teacher spread0.245 · 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
Published2025
Admission routes1
Has abstractyes

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