Impact of asthma control on quality of life in an outpatient setting in Brazil

Lourenco, Cristina Bassi; Martins, Franco Chies; Fiss, Elie; Grumach, Anete Sevciovic

doi:10.1080/02770903.2022.2097092

Cited by 1 publication

(1 citation statement)

References 27 publications

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“…Asthma is a chronic inflammatory disorder of the airways that affects over 350 million people worldwide 1,2 . Even though evolving understanding of the pathophysiology of asthma and airway inflammation has provided insight into the role of contributing factors to the clinical presentation of the disease, most asthma patients experience ongoing symptoms, which in turn can lead to interruption of daily activities and poor quality of life 3–6 . Of note is the risk of exacerbation, which may lead to hospitalization.…”

Section: Introductionmentioning

confidence: 99%

Modelling ASthma TrEatment Responses (MASTER): Effect of individual patient characteristics on the risk of exacerbation in moderate or severe asthma: A time‐to‐event analysis of randomized clinical trials

Oosterholt

Pavord

Yorgancıoğlu

et al. 2023

Brit J Clinical Pharma

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AimsThere is limited understanding of how clinical and demographic characteristics are associated with exacerbation risk in patients with moderate‐to‐severe asthma, and how these factors correlate with symptom control and treatment response. Here we assess the relationship between baseline characteristics and exacerbation risk during regular dosing with inhaled corticosteroids (ICS) monotherapy or in combination with long‐acting beta2‐agonists (ICS/LABA) in clinical trial patients with varying levels of symptom control, as assessed by the asthma control questionnaire (ACQ‐5).MethodsA time‐to‐event model was developed using pooled patient data (N = 16 282) from nine clinical studies [Correction added on 26 July 2023, after first online publication: The N value in the preceding sentence has been corrected in this version.]. A parametric hazard function was used to describe the time‐to‐first exacerbation. Covariate analysis included the assessment of the effect of seasonal variation, clinical and demographic baseline characteristics on baseline hazard. Predictive performance was evaluated by standard graphical and statistical methods.ResultsAn exponential hazard model best described the time‐to‐first exacerbation in moderate‐to‐severe asthma patients. Body mass index, smoking status, sex, ACQ‐5, % predicted forced expiratory volume over 1 s (FEV1p) and season were identified as statistically significant covariates affecting baseline hazard irrespective of ICS or ICS/LABA use. Fluticasone propionate/salmeterol (FP/SAL) combination therapy resulted in a significant reduction in the baseline hazard (30.8%) relative to FP monotherapy.ConclusionsInterindividual differences at baseline and seasonal variation affect the exacerbation risk independently from drug treatment. Moreover, it appears that even when a comparable level of symptom control is achieved in a group of patients, each individual may have a different exacerbation risk, depending on their baseline characteristics and time of the year. These findings highlight the importance of personalized interventions in moderate‐to‐severe asthma patients.

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Section: Introductionmentioning

confidence: 99%