The multivariate regression analysis was conducted to further assess the independent predictors of remission, also comparing the remission and non-remission groups.
Parameters
Multivariate regression analysis
Average
95% CI
p value
Model-1*
Number of emergency service visits before treatment
p-values represent independent associations between selected variables and remission status after adjustment in multivariate logistic regression. Variables that were statistically significant in the univariate analysis and not collinear were included in the multivariate models. Bolded p-values indicate statistical significance (p < 0.05). FEV1: forced expiratory volume in 1 second; FVC: forced vital capacity.
Declarations
Author contributions
EA: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Validation, Visualization, Writing—original draft, Writing—review & editing. MD: Conceptualization, Investigation, Writing—original draft, Writing—review & editing. AB: Supervision. All authors read and approved the submitted version.
Conflicts of interest
The authors declare that they have no conflicts of interest.
Ethical approval
This study was conducted in accordance with the principles outlined in the Declaration of Helsinki, and the study protocol was approved by the Institutional Review Board of KTO Karatay University Hospital (IRB No. 2023/031).
Consent to participate
Informed consent to participate in the study was obtained from all participants.
Consent to publication
Not applicable.
Availability of data and materials
The data of this manuscript could be available from the corresponding author upon reasonable request.
Open Exploration maintains a neutral stance on jurisdictional claims in published institutional affiliations and maps. All opinions expressed in this article are the personal views of the author(s) and do not represent the stance of the editorial team or the publisher.
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