Asthma is a chronic inflammatory disease characterized by symptoms of cough, dyspnea, chest tightness, and wheeze. Inhaled corticosteroids (ICS) have been recommended as initial therapy in the treatment of persistent asthma in all guidelines, as they have been shown to reduce morbidity and mortality. However, high-dose regimens and long-term use of ICS may be associated with a variety of side effects, similar to those observed with systemic corticosteroid therapy. These side effects include impaired growth in children, osteoporosis, fractures, glaucoma, cataracts, and skin thinning. The current recommendations on ICS use in asthma management will be reviewed in this article with a view to highlight treatment strategies that strike an optimal balance between safety and efficacy.

Background:Spirometry is recommended for the diagnosis of asthma and chronic obstructive pulmonary disease (COPD) in international guidelines and may be useful for distinguishing asthma from COPD. Numerous spirometry interpretation algorithms (SIAs) are described in the literature, but no studies highlight how different SIAs may influence the interpretation of the same spirometric data.Aims:We examined how two different SIAs may influence decision making among primary-care physicians.Methods:Data for this initiative were gathered from 113 primary-care physicians attending accredited workshops in Canada between 2011 and 2013. Physicians were asked to interpret nine spirograms presented twice in random sequence using two different SIAs and touch pad technology for anonymous data recording.Results:We observed differences in the interpretation of spirograms using two different SIAs. When the pre-bronchodilator FEV1/FVC (forced expiratory volume in one second/forced vital capacity) ratio was >0.70, algorithm 1 led to a ‘normal’ interpretation (78% of physicians), whereas algorithm 2 prompted a bronchodilator challenge revealing changes in FEV1 that were consistent with asthma, an interpretation selected by 94% of physicians. When the FEV1/FVC ratio was <0.70 after bronchodilator challenge but FEV1 increased >12% and 200 ml, 76% suspected asthma and 10% suspected COPD using algorithm 1, whereas 74% suspected asthma versus COPD using algorithm 2 across five separate cases. The absence of a post-bronchodilator FEV1/FVC decision node in algorithm 1 did not permit consideration of possible COPD.Conclusions:This study suggests that differences in SIAs may influence decision making and lead clinicians to interpret the same spirometry data differently.

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