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Record W2761047946 · doi:10.1093/pch/19.6.e35-115

117: Association Between Fraction of Exhaled Nitrous Oxide (FeNO), Parameters of Asthma Control and Inhaled Corticosteroid Type in a Regional Paediatric Asthma Center

2014· article· en· W2761047946 on OpenAlexaff
RW Smith, K Downey, Nadia Snow, Sharon Dell, W W Smith

Bibliographic record

VenuePaediatrics & Child Health · 2014
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineAsthmaSpirometryUnivariate analysisInternal medicineExhaled nitric oxidePediatricsMultivariate analysis

Abstract

fetched live from OpenAlex

FeNO is a known marker of airway inflammation, and is a topic of recent investigation for asthma control in children. To investigate the relationship between FeNO and known parameters of asthma control in a regional paediatric asthma center. A secondary objective was to investigate the correlation between different types of inhaled corticosteroids (ICS) and FeNO concentration. We conducted a retrospective chart review of children tested with both spirometry and FeNO over a one-year period. Collected data included age, anthropometrics, ICS type, equivalent dose, and duration of use, recent oral steroid use, asthma severity score, season, smoking status of family, and the presence or absence of; eczema, allergic rhinitis and respiratory tract infection. Data was analyzed by descriptive statistics and stepwise linear regression. A univariate generalized linear model was built to evaluate FeNO by ICS type, while correcting for statistically significant covariates. A total of 183 children were included. Mean (± SD) age was 12.8±2.8 years. Fluticasone was used most commonly (n=66, 36.1%) followed by ciclesonide (n=50 [27.3%]). Most children had moderate-persistent asthma (n=73 [39.9%]). FeNO level was associated with percent-change in FEV1 while adjusting for allergic rhinitis, parental smoking and ICS type (B=0.08 [95% CI 0.04 to 0.12]; P<0.001). Likewise, FeNO was associated with percent-change in FEF 25–75 while adjusting for parental smoking and ICS type (B=0.13 [95% CI 0.01 to 0.24]; P=0.03). However, FeNO accounted for only 16% and 9% of the variability in FEV1 and FEF 25–75, respectively. FeNO level differed by ICS type, while adjusting for equivalent dosing, allergic rhinitis and weight. Mean adjusted FeNO was lowest in fluticasone users compared to no ICS (mean difference ppb = 18.3 (95% CI 4.5 to 32.1]) and there was no difference in adjusted FeNO level between ciclesonide and no ICS (6.1 [95% CI −5.9 to 18.2]). FeNO levels correlate with known parameters of asthma control in a regional pediatric asthma center. However, FeNO accounts for only 16% and 9% of the variability in FEV1 and FeF 25–75. Mean adjusted FeNO varied by ICS type suggesting there is a difference in relative efficacy between inhaled corticosteroids beyond their dose equivalents.

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)0.004
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 score0.017
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.011
GPT teacher head0.258
Teacher spread0.247 · 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".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

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