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Development and validation of a predictive model of failed stepping-down of inhaled corticosteroids in adult asthmatics

BACKGROUND: Asthma guidelines suggest stepping-down of inhaled corticosteroids (ICSs) when asthma is stable. OBJECTIVE: To determine outcomes of stepping-down and prediction of outcome after stepping-down of ICSs in controlled adult asthma. METHODS: We performed a retrospective study on 21–81 year-o...

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Autores principales: Yamasaki, Akira, Tomita, Katsuyuki, Kato, Kazuhiro, Fukutani, Kouji, Sano, Hiroyuki, Tohda, Yuji, Shimizu, Eiji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4807945/
https://www.ncbi.nlm.nih.gov/pubmed/27051275
http://dx.doi.org/10.2147/PPA.S98637
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author Yamasaki, Akira
Tomita, Katsuyuki
Kato, Kazuhiro
Fukutani, Kouji
Sano, Hiroyuki
Tohda, Yuji
Shimizu, Eiji
author_facet Yamasaki, Akira
Tomita, Katsuyuki
Kato, Kazuhiro
Fukutani, Kouji
Sano, Hiroyuki
Tohda, Yuji
Shimizu, Eiji
author_sort Yamasaki, Akira
collection PubMed
description BACKGROUND: Asthma guidelines suggest stepping-down of inhaled corticosteroids (ICSs) when asthma is stable. OBJECTIVE: To determine outcomes of stepping-down and prediction of outcome after stepping-down of ICSs in controlled adult asthma. METHODS: We performed a retrospective study on 21–81 year-old hospital-based outpatients with asthma in Japan. Protocol for stepping-down of ICSs was performed according to the GINA guideline. Failure/success of stepping-down is judged as occurring exacerbation or not for stepping-down of ICSs. Multiple logistic regression analysis was used to develop a prediction model for failed stepping-down, and then was validated by the leave-one-out cross-validation method. Our model of prediction score was calculated using receiver-operating characteristic area under the curve (AUC) analysis. The Nelson–Aalen curve demonstrated time to failure of stepping-down of ICSs. RESULTS: A total of 126 patients with asthma attempted the stepping-down of ICSs according to the guideline. Of patients with follow-up, 97 (77.0%) of stepping-down attempts were successful. Using multivariate logistic regression analysis, comorbidity with rhinitis/rhinosinusitis and phlegm grade were independent predictors of failed stepping-down of ICSs, with odds ratios of 3.8 (95% confidence interval, 1.04–13.3; P=0.04) and 1.3 (95% confidence interval, 1.01–11.5; P=0.04), respectively. These variables were then used to build a prediction score in terms of the prediction of failed stepping-down events. When the two variables were added to form the prediction score, the discriminative power of scores calculated by the prediction model using the AUC was 0.75 (range: 0.62–0.88) for naïve prediction and 0.72 (range: 0.60–0.86) after cross-validation. In the time-to-failure models, cumulative hazard ratio of failed stepping-down have fixed 1 year after stepping-down. CONCLUSION: Our results suggest that comorbidity with rhinitis/rhinosinusitis and phlegm grade are imperative to predict failed stepping-down of ICSs in controlled patients with adult asthma.
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spelling pubmed-48079452016-04-05 Development and validation of a predictive model of failed stepping-down of inhaled corticosteroids in adult asthmatics Yamasaki, Akira Tomita, Katsuyuki Kato, Kazuhiro Fukutani, Kouji Sano, Hiroyuki Tohda, Yuji Shimizu, Eiji Patient Prefer Adherence Original Research BACKGROUND: Asthma guidelines suggest stepping-down of inhaled corticosteroids (ICSs) when asthma is stable. OBJECTIVE: To determine outcomes of stepping-down and prediction of outcome after stepping-down of ICSs in controlled adult asthma. METHODS: We performed a retrospective study on 21–81 year-old hospital-based outpatients with asthma in Japan. Protocol for stepping-down of ICSs was performed according to the GINA guideline. Failure/success of stepping-down is judged as occurring exacerbation or not for stepping-down of ICSs. Multiple logistic regression analysis was used to develop a prediction model for failed stepping-down, and then was validated by the leave-one-out cross-validation method. Our model of prediction score was calculated using receiver-operating characteristic area under the curve (AUC) analysis. The Nelson–Aalen curve demonstrated time to failure of stepping-down of ICSs. RESULTS: A total of 126 patients with asthma attempted the stepping-down of ICSs according to the guideline. Of patients with follow-up, 97 (77.0%) of stepping-down attempts were successful. Using multivariate logistic regression analysis, comorbidity with rhinitis/rhinosinusitis and phlegm grade were independent predictors of failed stepping-down of ICSs, with odds ratios of 3.8 (95% confidence interval, 1.04–13.3; P=0.04) and 1.3 (95% confidence interval, 1.01–11.5; P=0.04), respectively. These variables were then used to build a prediction score in terms of the prediction of failed stepping-down events. When the two variables were added to form the prediction score, the discriminative power of scores calculated by the prediction model using the AUC was 0.75 (range: 0.62–0.88) for naïve prediction and 0.72 (range: 0.60–0.86) after cross-validation. In the time-to-failure models, cumulative hazard ratio of failed stepping-down have fixed 1 year after stepping-down. CONCLUSION: Our results suggest that comorbidity with rhinitis/rhinosinusitis and phlegm grade are imperative to predict failed stepping-down of ICSs in controlled patients with adult asthma. Dove Medical Press 2016-03-18 /pmc/articles/PMC4807945/ /pubmed/27051275 http://dx.doi.org/10.2147/PPA.S98637 Text en © 2016 Yamasaki et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Yamasaki, Akira
Tomita, Katsuyuki
Kato, Kazuhiro
Fukutani, Kouji
Sano, Hiroyuki
Tohda, Yuji
Shimizu, Eiji
Development and validation of a predictive model of failed stepping-down of inhaled corticosteroids in adult asthmatics
title Development and validation of a predictive model of failed stepping-down of inhaled corticosteroids in adult asthmatics
title_full Development and validation of a predictive model of failed stepping-down of inhaled corticosteroids in adult asthmatics
title_fullStr Development and validation of a predictive model of failed stepping-down of inhaled corticosteroids in adult asthmatics
title_full_unstemmed Development and validation of a predictive model of failed stepping-down of inhaled corticosteroids in adult asthmatics
title_short Development and validation of a predictive model of failed stepping-down of inhaled corticosteroids in adult asthmatics
title_sort development and validation of a predictive model of failed stepping-down of inhaled corticosteroids in adult asthmatics
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4807945/
https://www.ncbi.nlm.nih.gov/pubmed/27051275
http://dx.doi.org/10.2147/PPA.S98637
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