| Literature DB >> 34285512 |
Anna Jetske Baron1,2,3, Bertine M J Flokstra-de Blok1,2,4, Huib A M Kerstjens2,3, Gineke Koopmans-Klein5, David B Price6,7, Andrea A Sellink8, Ioanna Tsiligianni9, Janwillem W H Kocks1,2,6.
Abstract
PURPOSE: Many patients with asthma still have insufficient disease control, despite the availability of effective treatment options. A substantial proportion of patients appear to rely more on short-acting beta2-agonist (SABA) rather than on anti-inflammatory maintenance treatment. The aim of this study was to describe differences in indicators of asthma symptoms and exacerbations among patients using more or less SABA than the guideline-recommended threshold of <3 times/week. PATIENTS AND METHODS: Data from Dutch respondents in the European REcognise Asthma and LInk to Symptoms and Experience (REALISE) survey were used in this post hoc analysis. The survey included asthma patients aged 18-50 years with at least two prescriptions for their asthma in the past two years. SABA use was categorized into two groups: <3 (low-SABA users) or ≥3 (high-SABA users) times in the last week.Entities:
Keywords: SABA; adverse effects; asthma; guidelines; primary health care; short acting beta2-agonist
Year: 2021 PMID: 34285512 PMCID: PMC8285233 DOI: 10.2147/JAA.S292943
Source DB: PubMed Journal: J Asthma Allergy ISSN: 1178-6965
Figure 1SABA usage in the last week (n=736).
Demographics and Characteristics as Reported by Respondents According to SABA Use (n=736)
| Respondents with <3 SABA (Low-SABA Users) in the Last Week 39.9% (n=294) | Respondents with ≥3 SABA (High-SABA Users) in the Last Week 60.1% (n=442) | P valuesa | |
|---|---|---|---|
| Gender, % (n) | |||
| Female | 75.2% (n=221) | 72.2% (n=319) | P=0.395 |
| Male | 24.8% (n=73) | 27.8% (n=123) | |
| Age, years, median [IQR] | 34 [25–42] | 38 [29–45] | |
| Age range, years, % (n) | |||
| 18–25 | 25.5% (n=75) | 17.0% (n=75) | |
| 26–40 | 42.5% (n=125) | 40.3% (n=178) | |
| 41–50 | 32.0% (n=94) | 42.8% (n=189) | |
| Year since asthma diagnosis, % (n) | |||
| Data available | 83.3% (n=245) | 88.5% (n=391) | |
| 1 or less | 5.7% (n=14) | 7.2%(n=28) | P=0.478 |
| 2–5 | 12.7% (n=31) | 10.5% (n=41) | |
| 6–10 | 15.9% (n=39) | 12.8% (n=50) | |
| 11 or more | 65.7% (n=161) | 69.6% (n=272) | |
| Current smokers, % (n) | 25.9% (n=76) | 24.0% (n=106) | P=0.601 |
| Co-morbidities*, % (n) | |||
| Diabetes | 3.1% (n=9) | 7.0% (n=31) | |
| Depression | 14.6% (n=43) | 15.4% (n=68) | P=0.834 |
| Heart disease | 1.4% (n=4) | 2.3% (n=10) | P=0.425 |
| High blood pressure | 7.5% (n=22) | 14.0% (n=62) | |
| Rheumatoid arthritis | 4.1% (n=12) | 8.6% (n=38) | |
| Cancer | 0.7% (n=2) | 1.4% (n=6) | P=0.487 |
| Comorbidity Index | |||
| 0 | 74.8% (n=220) | 63.8% (n=282) | |
| 1 | 20.7% (n=61) | 24.9% (n=110) | |
| 2 | 2.7% (n=8) | 9.3% (n=41) | |
| 3 | 1.0% (n=3) | 1.6% (n=7) | |
| 4 | 0.7% (n=2) | 0.5% (n=2) | |
| 5 | 0.0% (n=0) | 0.0% (n=0) | |
| 6 | 0.0% (n=0) | 0.0% (n=0) | |
| 7 | 0.0% (n=0) | 0.0% (n=0) | |
| 8 | 0.0% (n=0) | 0.0% (n=0) | |
| Treatment type#, % (n) | |||
| Reliever (SABA) | 75.9% (n=223) | 73.5%(n=325) | P=0.723 |
| Preventer (ICS) | 40.5% (n=119) | 47.1% (n=208) | P=0.082 |
| Combination inhaler (ICS/LABA) | 25.2% (n=74) | 34.4%(n=152) | |
| Oral treatment | 6.5% (n=19) | 20.1% (n=89) | |
| Other asthma medication | 5.4% (n=16) | 14.5% (n=64) |
Notes: *Self-reported as having been diagnosed by a doctor; ap values are two sided for the difference between <3 SABA and ≥3 SABA groups (significant differences are marked bold); #Which of the following treatments do you currently take to help manage your asthma? - multiple answers possible.
Abbreviations: SABA, short-acting beta2 agonist; COPD, chronic obstructive pulmonary disease; ICS, inhaled corticosteroids; LABA, long acting beta2 agonist.
Figure 2Indicators of exacerbations (n=736), according to SABA use (<3 times or ≥3 times/week).
Figure 3Indicators of asthma symptoms (n=736), according to SABA use (<3 or ≥3 times/week).
Relation Between Moderate (A)/Severe (B) Exacerbations and SABA Use Adjusted for Confounders (n=736)
| Predictors | Coefficients (SE) | p-value | OR | 95% CI for OR | |
|---|---|---|---|---|---|
| Lower | Upper | ||||
| A: Relation between moderate exacerbations and SABA use adjusted for confounders | |||||
| SABA use (0= low SABA users; 1= high SABA user) | 0.600 (0.160) | P<0.001 | 1.822 | 1.332 | 2.491 |
| Age | −0.002 (0.008) | 0.777 | 0.998 | 0.981 | 1.014 |
| Gender (0= male; 1= female) | −0.511 (0.184) | 0.005 | 0.600 | 0.418 | 0.860 |
| Using ICS containing treatment (0= not using ICS; 1= using ICS) | 0.037 (0.176) | 0.833 | 1.038 | 0.735 | 1.466 |
| Smoking status (0= no smoker; 1= smoker) | 0.234 (0.182) | 0.200 | 1.264 | 0.884 | 1.807 |
| Comorbidity Index | 0.432 (0.123) | P<0.001 | 1.541 | 1.211 | 1.961 |
| B: Relation between severe exacerbations and SABA use adjusted for confounders | |||||
| SABA use (0= low SABA users; 1= high SABA user) | 1.485 (0.342) | P<0.001 | 4.417 | 2.260 | 8.663 |
| Gender (0= male; 1= female) | −1.291 (0.262) | P<0.001 | 0.275 | 0.165 | 0.460 |
| Using ICS containing treatment (0= not using ICS; 1= using ICS) | −0.041 (0.280) | 0.885 | 0.960 | 0.554 | 1.664 |
| Comorbidity Index | 0.582 (0.141) | P<0.001 | 1.789 | 1.357 | 2.360 |
Notes: The confounders comorbidities, smoking status and number of years since asthma diagnosis were added to the models based on their relation (p<0.20) with the dependent or independent variable. The variable age was not added to model B since the linearity assumption was not met.
Abbreviations: SABA, Short-acting Beta-agonist; SE, standard error; OR, Odds ratio; CI, Confidence interval; ICS, Inhaled corticosteroids.