Gender Differences In Inhaled Pharmacotherapy Utilization In Patients With Obstructive Airway Diseases (Oads): A Population-Based Study

Purpose: Gender differences in the incidence, susceptibility and severity of many obstructive airway diseases (OADs) have been well recognized. However, gender differences in the inhaled pharmacotherapy profile are not well characterized.Methods: We conducted a retrospective cohort study to investigate gender differences in new-users of inhaled corticosteroids (ICS), short-or long-acting beta2-agonist (SABA or LABA), ICS/LABA, short-or long-acting muscarinic antagonist (SAMA or LAMA) among patients with asthma, COPD or asthma-COPD overlap (ACO). We used Clinical Practice Research Datalink to identify OAD patients, 18 years and older, who were new-users (1-year washout period) from 01-January-1998 to 31-July-2018. Multivariable logistic regression was used to examine gender differences in each of the inhaled pharmacotherapies after controlling for potential confounders.Results: A total of 242,079 new-users (asthma: 84.93%; COPD: 10.19%; ACO: 4.88%) of inhaled pharmacotherapies were identified. The multivariable analyses showed that males with COPD were more likely to be a new user of a LABA (odds ratio [OR] 1.29; 95% confidence interval [CI], 1.12-1.49), LAMA (OR 1.21; 95% CI 1.10-1.33), SAMA (OR 1.11; 95% CI 1.01-1.21) and less likely to be a new user of a SABA (OR 0.84; 95% CI, 0.80-0.89) compared to females. Similar patterns were also observed for patients with ACO; males were more likely to be prescribed with LABA (OR 1.26; 95% CI 1.03-1.55), LAMA (OR 1.28; 95% CI 1.11-1.48), SAMA (OR 1.28; 95% CI 1.11-1.48), and less likely to be a new user of a SABA (OR 0.89; 95% CI, 0.82-0.96). Also, males with asthma were more likely to be a new-user of ICS/LABA (OR 1.15; 95% CI, 1.08-1.23) and less likely to start an ICS (OR 0.97; 95% CI, 0.95-0.99) in comparison with females.Conclusion: Our study showed significant gender differences in new-users of inhaled pharmacotherapies among OAD patients. Adjusting for proxies of disease severity, calendar year, smoking and socioeconomic status did not change the association by gender.