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Background: The prevalence of comorbidities and their relation to asthma control and treatment is a topic of increasing interest, however comprehensive studies are scarce. We aimed to determine the prevalence of the most common comorbidities in asthma in relation to patient characteristics (age, gender and body mass index [BMI]) and their association with asthma control in a large, specialist-managed representative patient population. Methods: A secondary, exploratory analysis of the Asthma Reality (ARL), across-sectional, non-interventional real-life study was conducted. Basic patient characteristics, the prevalence of comorbidities and data on asthma control and risk factors had been collected and their interactions examined. Descriptive statistics and binomial regression were used to assess the distribution of the prevalence of comorbidities and propensity matching was applied to assess their effect on asthma control. Results: Overall, 12,743 patients were enrolled in our study in 187 treatment centres covering all regions of Hungary. Most comorbidities showed significantly different distribution for all basic patient characteristics. Gender, age group, smoking status, BMI and the duration of asthma had a significant impact on asthma control. The frequency of uncontrolled asthma was higher in females (37.1%), in the age group of 46–65 years (39.6%), in severely obese patients (43.2%), in patients who had been diagnosed with asthma for more than 20 years (40.4%), and in active heavy smokers (55%), compared with respective groups in the same category. Based on the binomial regression with propensity score matching, concomitant chronic obstructive pulmonary disease (COPD) (odds ratio [OR] = 2.06, 95% confidence interval [CI] 1.80–2.36), ischaemic heart disease (OR = 1.86, 95% CI 1.64–2.10) and cerebrovascular events (OR = 1.85, 95% CI 1.47–2.32) had the strongest negative effect on asthma control, with the presence of all of these conditions increasing the risk of uncontrolled asthma. Conclusions: This evaluation of comorbidity data of more than 12,000, adult asthmatic patients has provided a clearer picture of diseases that can frequently co-exist with asthma, and their influence on asthma control, assessed by the prevalence of symptoms. Our study suggests that most asthmatic patients have at least one comorbidity, and the presence of comorbidities may have a high impact on asthma control measures. [ABSTRACT FROM AUTHOR]

Background: Risk factors for poor asthma outcomes may have considerable influence on the control level and medical care of asthmatic patients. Our objective was to conduct a study that provides data on the level of symptom control and the frequency of specific risk factors for poor asthma outcomes on a large patient cohort. Methods: A cross-sectional, non-interventional real-life study was conducted among asthmatic patients treated by respiratory specialists in Hungary. Asthma control and risk factor assessment were done according to Global Initiative for Asthma guideline (Box 2–2). In the data analysis, phase descriptive statistics, graphical outputs, and Fisher's exact tests were used. Results: Of 12743 patients enrolled by 187 specialists, asthma was well controlled in 36.0%, partially controlled in 29.29%, and uncontrolled in 34.71% of the cases. The most common comorbidities were rhinitis/sinusitis (66.84%), cardiovascular diseases (43.81%), and gastroesophageal reflux disease (20.11%). The following risk factors had the strongest relationship with uncontrolled disease: incorrect inhaler technique causing side effects (odds ratio, OR 4.86, 3.51–6.8), previous severe exacerbation (OR 4.79, 4.02–5.72), high short-acting beta agonist (SABA) use (OR 4.46, 4.03–4.93), incorrect inhaler technique associated with an exacerbation (OR 3.91, 3.06–5.03), and persistently low forced expiratory volume in 1 s (FEV1, OR 3.14, 2.8–3.52). The most frequent risk factors were smoking (OR 1.47, 1.36–1.59) and obesity (OR 1.34, 1.24–1.45). Furthermore, high loss of control was associated with an initial low FEV1 (OR 2.21, 2.01–2.44), frequent oral corticosteroid (OCS) use (OR 1.83, 1.64–2.05), poor adherence to treatment (OR 2.51, 2.21–2.86), and allergen exposure (OR 1.63, 1.47–1.81). Conclusions: This study indicated that the presence of risk factors for poor asthma outcomes listed by the Global Initiative for Asthma document significantly influenced actual control level in a real-world large patient cohort, with high SABA use, previous severe exacerbation, incorrect inhaler technique, persistently low FEV1, and poor adherence to treatment having the highest impact. [ABSTRACT FROM AUTHOR]

Introduction: Asthma is the most prevalent obstructive pulmonary disease, with drastically improved treatment options over the past decades. However, there is still a proportion of patients with suboptimal level of asthma control, leading to multiple hospitalisation due to severe acute exacerbation (SAE) and earlier death. In our study, we aimed to assess the risk of SAEs and mortality in patients who suffered an SAE., Methods: The database of the National Health Insurance Fund was used to retrospectively analyse the data of all asthmatic patients who had been hospitalised for an SAE between 2009 and 2019. We used a competing risk model to analyse the effect of each exacerbation on the risk of further SAEs with age, sex, Charlson index and the number of severe and moderate exacerbations included as covariates., Result: Altogether, 9257 asthmatic patients suffered at least one exacerbation leading to hospitalisation during the study time. The majority (75.8%) were women, and the average age was 58.24 years. Most patients had at least one comorbidity. 3492 patients suffered at least one further exacerbation and 1193 patients died of any cause. In the competing risk model, each SAE increased the risk of further exacerbations (HR=2.078-7.026; p<0.0001 for each case) but not death. The risk of SAEs was also increased by age (HR=1.008) female sex (HR=1.102) and with the number of days of the first SAE (HR=1.007)., Conclusions: Even though asthma is generally a well-manageable disease, there still are many patients who suffer SAEs that significantly increase the risk of further similar SAEs., Competing Interests: Competing interests: The authors report that they have no conflicts of interest related to the submitted work. LT has received lecture or consultancy fees and/or support for conference attendance from Berlin-Chemie, Orion Corporation, Novartis, Chiesi, Teva Pharmaceutical and AstraZeneca. NE has received lecture or consultancy fees and/or support for conference attendance from Berlin-Chemie, Orion Corporation, Novartis, Chiesi, Teva Pharmaceutical and AstraZeneca. GG has accepted reports personal fees from Astra-Zeneca, Chiesi, BMS, MSD, Berlin Chemie, Boehringer Ingelheim, Roche, Novartis, Pfizer, Ipsen, Mylen, Orion outside the submitted workB. Santa, G. Tomisa and A. Horváth are all employees of Chiesi Hungary., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Purpose: The health-related quality of life (HRQL) in chronic obstructive pulmonary disease (COPD) is worsened by frequent exacerbations, and it can be affected by the concomitant presence of bronchial asthma (asthma-COPD overlap (ACO)). The impacts of clinical factors associated with HRQL have not been compared in patients with COPD and ACO experiencing exacerbations. Patients and Methods . Patients with COPD ( N  =705) and ACO ( N  =148) belonging to C and D groups according to GOLD 2017 were recruited in stable condition. Demographic and clinical data were collected, spirometry was performed, and patients rated the intensity of respiratory symptoms during the previous week. The COPD Assessment Test (CAT) and the EQ-5D 3 level version (dimensions and visual analogue scale (VAS)) were used to assess disease-specific and generic HRQL, respectively. Fisher's exact test, χ 2 test, ANOVA, and Pearson correlation were used for analysis (mean ± SD). Multiple linear regression was applied to identify variables related to CAT and EQ-5D VAS scores., Results: The CAT and EQ-5D VAS scores showed similarly low HRQL in COPD and ACO (20.7 ± 6.7 vs. 21.1 ± 6.3 ( p = 0.52) and 56.2 ± 17.8 vs. 53.7 ± 18.2 ( p = 0.11)). There was a weak correlation between CAT and EQ-5D VAS scores (COPD: r = -0.345, p < 0.001; ACO: r = -0.245, p = 0.003). More patients with COPD had problems related to anxiety/depression in EQ-5D (63.7% vs. 55.4%, p = 0.06). Pack-years exerted a negative effect on HRQL measures both in ACO and COPD. Low HRQL in COPD was associated with female gender, dyspnea, cough, gastroesophageal reflux disease, and arrhythmia, while in ACO, it was related to arrhythmia, hypertension, and cough, but less to dyspnea., Conclusions: Patients with COPD and ACO experiencing exacerbations have low quality of life, which is influenced by smoking history, symptoms, and comorbidities. These findings have important implications for the development of therapeutic strategies to improve the health status of patients with these conditions., Competing Interests: The authors declare that they have no conflict of interest., (Copyright © 2020 Zsófia Lázár et al.)

Purpose: Comorbidities associated with chronic obstructive pulmonary disease (COPD) affect quality of life and increase mortality. Asthma-COPD overlap (ACO) may express a different profile of comorbidities compared to COPD alone. It is unclear how recent changes in GOLD recommendations affect the profile of comorbidities in COPD and ACO., Methods: Eight hundred and thirty-four patients with COPD were recruited from 67 Hungarian secondary care outpatient clinics, 469 of them had ACO. Comorbidities were defined by respiratory specialists based on medical history, patient report, and medications. COPD grades were defined according to the old 2016 and the new 2017 GOLD document. Comorbidities were compared along COPD ABCD groups determined by the old and new GOLD., Results: 66 and 72% of the COPD patients in groups C and D (GOLD 2016) were recategorized to groups A and B (GOLD 2017), respectively. There was no difference in the prevalence of disorders along the 2016 GOLD categories except for osteoporosis in ACO (p = 0.01). When the patients were categorized according to the 2017 GOLD criteria, the prevalence of osteoporosis (p = 0.01) was different among the four groups in all COPD patients. Subgroup analysis of non-ACO COPD patients revealed inter-group differences for cardiac arrhythmia (p < 0.01). No alteration was seen in the prevalence of coronary artery disease, hypertension, diabetes, or the total number of comorbidities., Conclusion: A significant number of patients are recategorized according to the GOLD 2017 criteria. This change only marginally affects the profile of comorbidities; still this needs to be considered when assessing the patients in daily practice.