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Record W4386195318 · doi:10.1016/j.anai.2023.08.021

Analysis of comorbidities and multimorbidity in adult patients in the International Severe Asthma Registry

2023· article· en· W4386195318 on OpenAlexafffund
Ghislaine Scélo, Carlos A. Torres‐Duque, Jorge Máspero, Trung N. Tran, Ruth Murray, Neil Martin, Andrew Menzies‐Gow, Mark Hew, Matthew Peters, Peter G. Gibson, George Christoff, Todor A. Popov, Andréanne Côté, Céline Bergeron, Delbert R. Dorscheid, J. Mark FitzGerald, Kenneth R. Chapman, Louis Philippe Boulet, Mohit Bhutani, Mohsen Sadatsafavi, Libardo Jiménez-Maldonado, Mauricio Durán-Silva, Bellanid Rodriguez, C.A. Celis-Preciado, Iván Solarte, Patricia Parada-Tovar, Anna von Bülow, Anne Sofie Bjerrum, Charlotte Suppli Ulrik, Karin Dahl Assing, Linda Makowska Rasmussen, Susanne Hansen, Alan Altraja, Arnaud Bourdin, Camille Taillé, Jérémy Charriot, Nicolás Roche, Andriana Ι. Papaioannou, Κonstantinos Κostikas, Nikolaos G. Papadopoulos, Sundeep Salvi, Deirdre Long, Patrick Mitchell, Richard W. Costello, Concetta Sirena, Cristina Cardini, Enrico Heffler, Francesca Puggioni, Giorgio Walter Canonica, Giuseppe Guida, Takashi Iwanaga, Mona Al‐Ahmad, Désirée Larenas‐Linnemann, Ulises García, Piotr Kuna, João Fonseca, Riyad Al‐Lehebi, Mariko Siyue Koh, Chin Kook Rhee, Borja G. Cosío, Luis Pérez de Llano, Diahn-Warng Perng, Erick Wan-Chun Huang, Hao‐Chien Wang, Ming-Ju Tsai, Bassam Mahboub, Laila Salameh, D.A. Jackson, John Busby, Liam G. Heaney, Paul Pfeffer, Amanda Grippen Goddard, Eileen Wang, Flavia Hoyte, Michael E. Wechsler, Nicholas Chapman, Rohit Katial, Victoria Carter, Lakmini Bulathsinhala, Neva Eleangovan, Con Ariti, Juntao Lyu, David Price, Celeste Porsbjerg

Bibliographic record

VenueAnnals of Allergy Asthma & Immunology · 2023
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsUniversity of AlbertaUniversity of TorontoVancouver General HospitalUniversity of British ColumbiaUniversité Laval
FundersGrifolsBritish Columbia Lung AssociationCanadian Institutes of Health ResearchCovis PharmaAstraZenecaCSL BehringAmgenCanadian Thoracic SocietySanofiSeqirusRegeneron PharmaceuticalsTeva Pharmaceutical IndustriesMichael Smith Health Research BCGlaxoSmithKline
KeywordsMedicineAsthmaComorbidityInternal medicineMultimorbidityCross-sectional studyPediatricsPathology

Abstract

fetched live from OpenAlex

BACKGROUND: Investigation for the presence of asthma comorbidities is recommended by the Global Initiative for Asthma because their presence can complicate asthma management. OBJECTIVE: To understand the prevalence and pattern of comorbidities and multimorbidity in adults with severe asthma and their association with asthma-related outcomes. METHODS: This was a cross-sectional study using data from the International Severe Asthma Registry from 22 countries. A total of 30 comorbidities were identified and categorized a priori as any of the following: (1) potentially type 2-related comorbidities, (2) potentially oral corticosteroid (OCS)-related comorbidities, or (3) comorbidities mimicking or aggravating asthma. The association between comorbidities and asthma-related outcomes was investigated using multivariable models adjusted for country, age at enrollment, and sex (ie male or female). RESULTS: Of the 11,821 patients, 69%, 67%, and 55% had at least 1 potentially type 2-related, potentially OCS-related, or mimicking or aggravating comorbidities, respectively; 57% had 3 or more comorbidities, and 33% had comorbidities in all 3 categories. Patients with allergic rhinitis, nasal polyposis, and chronic rhinosinusitis experienced 1.12 (P = .003), 1.16 (P < .001), and 1.29 times (P < .001) more exacerbations per year, respectively, than those without. Patients with nasal polyposis and chronic rhinosinusitis were 40% and 46% more likely (P < .001), respectively, to have received long-term (LT) OCS. All assessed potential OCS-related comorbidities (except obesity) were associated with a greater likelihood of LTOCS use (odds ratios [ORs]: 1.23-2.77) and, except for dyslipidemia, with a greater likelihood of uncontrolled asthma (ORs: 1.29-1.68). All mimicking or aggravating comorbidities assessed were associated with more exacerbations (1.24-1.68 times more), all (except bronchiectasis) with increased likelihood of uncontrolled asthma (ORs: 1.57-1.81), and all (except chronic obstructive pulmonary disease) with increased likelihood of LTOCS use (ORs: 1.37-1.57). A greater number of comorbidities was associated with worse outcomes. CONCLUSION: In a global study, comorbidity or multimorbidity is reported in most adults with severe asthma and is associated with poorer asthma-related outcomes. CLINICAL TRIAL REGISTRATION: The International Severe Asthma Registry database has ethical approval from the Anonymous Data Ethics Protocols and Transparency (ADEPT) committee (ADEPT0218) and is registered with the European Union Electronic Register of Post-Authorization Studies (European Network Centres for Pharmacoepidemiology and Pharmacovigilance [ENCEPP]/DSPP/23720). The study was designed, implemented, and reported in compliance with the European Network Centres for Pharmacoepidemiology and Pharmacovigilance (ENCEPP) Code of Conduct (EMA 2014; EUPAS44024) and with all applicable local and international laws and regulations, and registered with ENCEPP (https://www.encepp.eu/encepp/viewResource.htm?id=48848). Governance was provided by ADEPT (registration number: ADEPT1121).

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 score0.053
Threshold uncertainty score0.431

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.030
GPT teacher head0.307
Teacher spread0.277 · 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

Citations82
Published2023
Admission routes2
Has abstractyes

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