Introduction
Identifying the variables that guide decision-making in relation to the use of inhaled corticosteroids (ICS) can contribute to the appropriate use of these drugs. The objective of this study was to identify the clinical variables that physicians consider most relevant for prescribing or withdrawing ICS in COPD.
Methods
A cross-sectional survey was conducted in Spain from November 2020 to May 2021. Therapeutic decisions on the use of ICS in 11 hypothetical COPD patient profiles were collected using an online survey answered by specialists with experience in the management of patients with COPD. Mixed-effects logistic regression was used to analyze the impact of patients’ characteristics in the therapeutic decision for prescribing ICS or proceeding to its withdrawal.
Results
A total of 74 pulmonologists agreed to collaborate in the survey and answered the questionnaire. The results showed great variability, with only 2 profiles achieving consensus for starting or withdrawing the treatment. The frequency and severity of exacerbations influenced the decision to prescribe ICS in a dose-response fashion (1 exacerbation odds ratio (OR) = 1.86, 95% confidence interval (CI) 1.02 to 3.43, two exacerbations OR = 11.6, 95% CI: 4.47 to 30.2 and three OR = 123, 95% CI: 25 to 601). Similarly, increasing blood eosinophils and history of asthma were associated with ICS use. On the other hand, pneumonia reduced the probability of initiating treatment with ICS (OR = 0.54 [0.29 to 0.98]). Lung function and dyspnea degree did not influence the clinician’s therapeutic decision. The results for withdrawal of ICS were similar but in the opposite direction.
Conclusion
In accordance with guidelines, exacerbations, blood eosinophils and history of asthma or pneumonia are the factors considered by pulmonologist for the indication or withdrawal of ICS. However, the agreement in prescription or withdrawal of ICS when confronted with hypothetical cases is very low, suggesting a great variability in clinical practice.
The work productivity loss due to health problem estimated based on WPAI-GH was significantly higher in twenties than in forties (50% and 20%, respectively) (p=0.001). The result of a multivariate generalized-linear model after a model selection showed that the work productivity loss was significantly higher in females, twenties, and participants with a depressive tendency factor, extroversion, neuroticism, or openness personality, or high work load in November 2017. Conclusions: Youngest workers showed highest mental stress and largest productivity loss in the busiest season. The youngest generation who holds generally greater potential in the company is considered most exhausted in our study, which indicates a major issue for the working environment of Japanese companies.
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