Journal List > Allergy Asthma Immunol Res > v.8(6) > 1052614

Jung and Park: Factors Predicting Recovery From Asthma Exacerbations
Asthma is one of the most common chronic respiratory diseases worldwide. Despite the regular use of maintenance medications, asthma exacerbations (AEs) can be triggered by various factors. AEs are potentially life-threatening, triggering visits to emergency departments and unscheduled healthcare use in many countries.12 Therefore, AE prediction and prevention are critical in terms of improved asthma management.34
Previous studies have suggested that factors associated with acute AEs include reduced baseline lung function,5 poor adherence to medications, cessation of regular use of inhaled corticosteroids (ICSs),678 viral infections,39 and comorbid conditions, including allergic rhinitis.10 Several markers for asthma activity have been suggested to reflect recovery from AEs. Such markers include not only pulmonary function but also the symptom scores,5 the peripheral eosinophil count,11 the fraction of exhaled nitric oxide (FeNO),1213 and the serum levels of vascular endothelial growth factor14 and soluble CD93.15 However, no markers have been validated to an extent permitting their use, in real practice, to predict and monitor AEs and recovery time therefrom.
In this issue of the AAIR, Kim et al.16 evaluated both clinical characteristics and laboratory data to define factors associated with recovery time after AE. Serial pulmonary function tests were performed on 113 patients hospitalized with AEs in a single tertiary center. They also evaluated comorbid and other medical conditions in their study subjects. The mean recovery time was 1.7 weeks, ranging from 1 day to 14 weeks. It is suggested that concurrent viral infection at admission and regular ICS use prior to AE delay the recovery of pulmonary function, unlike in previous studies.678 The delayed recovery time may be attributed to several factors. First, this is a real-world study on hospitalized asthmatic patients. Only older hospitalized patients were enrolled (mean age, 57.6±17.9 years; range, 18-95 years); these patients presented with more severe symptoms than those treated in outpatient clinics. Most previous studies on AE enrolled subjects with mild-to-moderate asthmatics who had been followed up in outpatient clinics;512 patients with any history of respiratory infections or a concomitant disease other than asthma were excluded.81517 Only a few studies have enrolled hospitalized adults exclusively.1718 The subjects were divided into 3 groups according to age and clinical characteristics. Older patients had more severe asthma symptoms, a higher prevalence of comorbid conditions, a longer hospital stay, and a higher readmission rate than younger patients. These findings suggest that older hospitalized patients may have different subtypes and do not respond to standard pharmacological treatments including steroids. Secondly, this is a retrospective study. Thus, objective parameters, including symptom score, the daily peak expiratory flow rate, or the levels of inflammatory markers such as FeNO, could not be used to monitor recovery from AEs. Indeed, changes in pulmonary function were monitored in only 89 (78.8%) of the 113 patients. Thirdly, patients who had used ICSs regularly have longer recovery times. This may be because patients in regular use of ICSs are older and have more severe symptoms, in terms of more episodes of AEs and use of systemic steroids to treat asthma in the past year, and higher levels of comorbid conditions, including ischemic heart disease and pneumonia.
In conclusion, to define factors predicting AEs and recovery time therefrom, it is essential to maintain regular use of ICSs when it is sought to prevent AEs in adult asthmatic patients. Further prospective real-world studies are required to validate factors predicting and preventing AEs in various patient settings.

Notes

There are no financial or other issues that might lead to conflict of interest.

References

1. Lee T, Kim J, Kim S, Kim K, Park Y, Kim Y, et al. Risk factors for asthma-related healthcare use: longitudinal analysis using the NHI claims database in a Korean asthma cohort. PLoS One. 2014; 9:e112844.
2. Watase H, Hagiwara Y, Chiba T, Camargo CA Jr, Hasegawa K. Japanese Emergency Medicine Network Investigators. Multicentre observational study of adults with asthma exacerbations: who are the frequent users of the emergency department in Japan? BMJ Open. 2015; 5:e007435.
3. Jackson DJ, Sykes A, Mallia P, Johnston SL. Asthma exacerbations: origin, effect, and prevention. J Allergy Clin Immunol. 2011; 128:1165–1174.
4. Greenberg S. Asthma exacerbations: predisposing factors and prediction rules. Curr Opin Allergy Clin Immunol. 2013; 13:225–236.
5. Quezada W, Kwak ES, Reibman J, Rogers L, Mastronarde J, Teague WG, et al. Predictors of asthma exacerbation among patients with poorly controlled asthma despite inhaled corticosteroid treatment. Ann Allergy Asthma Immunol. 2016; 116:112–117.
6. Rank MA, Hagan JB, Park MA, Podjasek JC, Samant SA, Volcheck GW, et al. The risk of asthma exacerbation after stopping low-dose inhaled corticosteroids: a systematic review and meta-analysis of randomized controlled trials. J Allergy Clin Immunol. 2013; 131:724–729.
7. Engelkes M, Janssens HM, de Jongste JC, Sturkenboom MC, Verhamme KM. Medication adherence and the risk of severe asthma exacerbations: a systematic review. Eur Respir J. 2015; 45:396–407.
8. Williams LK, Pladevall M, Xi H, Peterson EL, Joseph C, Lafata JE, et al. Relationship between adherence to inhaled corticosteroids and poor outcomes among adults with asthma. J Allergy Clin Immunol. 2004; 114:1288–1293.
9. Jackson DJ, Johnston SL. The role of viruses in acute exacerbations of asthma. J Allergy Clin Immunol. 2010; 125:1178–1187.
10. Bousquet J, Gaugris S, Kocevar VS, Zhang Q, Yin DD, Polos PG, et al. Increased risk of asthma attacks and emergency visits among asthma patients with allergic rhinitis: a subgroup analysis of the investigation of montelukast as a partner agent for complementary therapy [corrected]. Clin Exp Allergy. 2005; 35:723–727.
11. Zeiger RS, Schatz M, Li Q, Chen W, Khatry DB, Gossage D, et al. High blood eosinophil count is a risk factor for future asthma exacerbations in adult persistent asthma. J Allergy Clin Immunol Pract. 2014; 2:741–750.
12. Ciółkowski J, Mazurek H, Hydzik P, Stasiowska B. Inflammatory markers as exacerbation risk factors after asthma therapy switch from inhaled steroids to montelukast. Pulm Pharmacol Ther. 2016; 39:7–13.
13. Song WJ, Kwon JW, Kim EJ, Lee SM, Kim SH, Lee SY, et al. Clinical application of exhaled nitric oxide measurements in a korean population. Allergy Asthma Immunol Res. 2015; 7:3–13.
14. Lee KY, Lee KS, Park SJ, Kim SR, Min KH, Choe YH, et al. Clinical significance of plasma and serum vascular endothelial growth factor in asthma. J Asthma. 2008; 45:735–739.
15. Sigari N, Jalili A, Mahdawi L, Ghaderi E, Shilan M. Soluble CD93 as a novel biomarker in asthma exacerbation. Allergy Asthma Immunol Res. 2016; 8:461–465.
16. Kim HJ, Lee J, Kim JH, Park SY, Kwon HS, Kim TB, et al. Factors affecting recovery time of pulmonary function in hospitalized patients with acute asthma exacerbations. Allergy Asthma Immunol Res. 2016; 8:499–504.
17. Sekiya K, Taniguchi M, Fukutomi Y, Watai K, Minami T, Hayashi H, et al. Age-specific characteristics of inpatients with severe asthma exacerbation. Allergol Int. 2013; 62:331–336.
18. Hasegawa K, Gibo K, Tsugawa Y, Shimada YJ, Camargo CA Jr. Age-related differences in the rate, timing, and diagnosis of 30-day readmissions in hospitalized adults with asthma exacerbation. Chest. 2016; 149:1021–1029.
TOOLS
ORCID iDs

Hae-Sim Park
https://orcid.org/http://orcid.org/0000-0003-2614-0303

Similar articles