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043. SUBGLOTTIC STENOSIS AND ENDOBRONCHIAL DISEASE IN GRANULOMATOSIS WITH POLYANGIITIS

2019· article· en· W4242935549 on OpenAlexaff
Kaitlin A. Quinn, Cailin H. Sibley, Alexander Gelbard, Arlene Sirajuddin, Marcela A. Ferrada, Marus Chen, David Cuthbertson, Simon Carette, Nader Khalidi, Curry L. Koening, Carol A. Langford, Carol A. McAlear, Paul A. Monach, Larry W. Moreland, Christian Pagnoux, Philip Seo, Ulrich Specks, Antoine G. Sreih, Steven R. Ytterberg, Peter Merkel, Peter C. Grayson

Bibliographic record

VenueLara D. Veeken · 2019
Typearticle
Languageen
FieldMedicine
TopicAutoimmune Bullous Skin Diseases
Canadian institutionsMount Sinai HospitalSt. Joseph's HospitalUniversity of Toronto
FundersNational Institute of Arthritis and Musculoskeletal and Skin DiseasesVasculitis Clinical Research Consortium
KeywordsMedicineGranulomatosis with polyangiitisSubglottic stenosisWegener granulomatosisStenosisRadiologyDermatologyVasculitisInternal medicineDisease

Abstract

fetched live from OpenAlex

Background: Damage to the large airways is a devastating complication of granulomatosis with polyangiitis (GPA). This study aimed to characterize patients with subglottic stenosis (SGS) and bronchial disease and test whether dynamic expiratory-phase CT is useful to detect airway damage in patients with GPA. Methods: i) A retrospective analysis of a multi-center cohort of patients with GPA identified demographic and clinical features associated with the presence of SGS or endobronchial involvement; ii) A subset of patients with GPA underwent a dynamic chest CT at a single center, assessed by a central reader blinded to clinical status. Differences were assessed by the chi square test. Results: Data from 962 patients with GPA from 9 centers were used for the initial phase analyses. SGS was identified in 95 (10%) patients. Patients with SGS were more likely to be female, younger, and less likely to have constitutional, cardiovascular, renal, or nervous system involvement. There were no differences in ANCA subtype. Among 95 patients in the cohort with nasal septal perforation and saddle nose deformities, 28 (29%) and 27 (28%), respectively, also had SGS. Endobronchial disease was seen in 59 (6%) patients. Compared to the full cohort, patients with endobronchial involvement were younger, more likely to have ENT involvement, and be C-ANCA/anti-PR3 positive, but less likely to have renal disease. There was no association between endobronchial involvement and sex. Seven of twenty-five patients screened by dynamic chest CT had large-airway pathology. Dynamic CT confirmed SGS in 4 patients with previously identified disease. Tracheobronchomalacia was discovered in 4 patients, including one male patient who was previously thought to have isolated SGS. Abstract 043 Table 1: C-ANCA/anti- PR3 P-ANCA/anti- MPO ANCA-negative Unknown status 63 (67%) 22 (23%) 7 (7%) 3 (3%) 581 (67%) 217 (25%) 43 (5%) 26 (3%) 0.91 0.80 0.33 N/A 50 (85%) 8 (13%) 0 (0%) 1 (2%) 588 (66%) 225 (25%) 54 (6%) 19 (2%) <0.01 0.04 0.04 N/A Conclusion: Both SGS and endobronchial disease are moderately common in GPA. SGS is more commonly seen in female patients with GPA, whereas bronchial involvement is not associated with sex. There should be a low threshold to evaluate airway disease in GPA, especially in younger patients, and those with destructive sinonasal disease. Dynamic expiratory phase chest CT is a potential non-invasive screening test for tracheobronchial disease in GPA. Disclosures: This work was supported by the Vasculitis Clinical Research Consortium and by the intramural NIAMS research program.

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 score0.004
Threshold uncertainty score0.768

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.006
GPT teacher head0.218
Teacher spread0.212 · 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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Citations5
Published2019
Admission routes1
Has abstractyes

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