Literature DB >> 27582397

Factors Predicting Recovery From Asthma Exacerbations.

Chang Gyu Jung1, Hae Sim Park2.   

Abstract

Entities:  

Year:  2016        PMID: 27582397      PMCID: PMC5011046          DOI: 10.4168/aair.2016.8.6.479

Source DB:  PubMed          Journal:  Allergy Asthma Immunol Res        ISSN: 2092-7355            Impact factor:   5.764


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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.
  18 in total

1.  Predictors of asthma exacerbation among patients with poorly controlled asthma despite inhaled corticosteroid treatment.

Authors:  Wilson Quezada; Eun Soo Kwak; Joan Reibman; Linda Rogers; John Mastronarde; William G Teague; Christine Wei; Janet T Holbrook; Emily DiMango
Journal:  Ann Allergy Asthma Immunol       Date:  2015-12-19       Impact factor: 6.347

2.  High blood eosinophil count is a risk factor for future asthma exacerbations in adult persistent asthma.

Authors:  Robert S Zeiger; Michael Schatz; Qiaowu Li; Wansu Chen; Deepak B Khatry; David Gossage; Trung N Tran
Journal:  J Allergy Clin Immunol Pract       Date:  2014-08-29

Review 3.  The risk of asthma exacerbation after stopping low-dose inhaled corticosteroids: a systematic review and meta-analysis of randomized controlled trials.

Authors:  Matthew A Rank; John B Hagan; Miguel A Park; Jenna C Podjasek; Shefali A Samant; Gerald W Volcheck; Patricia J Erwin; Colin P West
Journal:  J Allergy Clin Immunol       Date:  2013-01-12       Impact factor: 10.793

Review 4.  Asthma exacerbations: predisposing factors and prediction rules.

Authors:  Steven Greenberg
Journal:  Curr Opin Allergy Clin Immunol       Date:  2013-06

5.  Age-Related Differences in the Rate, Timing, and Diagnosis of 30-Day Readmissions in Hospitalized Adults With Asthma Exacerbation.

Authors:  Kohei Hasegawa; Koichiro Gibo; Yusuke Tsugawa; Yuichi J Shimada; Carlos A Camargo
Journal:  Chest       Date:  2016-01-21       Impact factor: 9.410

Review 6.  Clinical application of exhaled nitric oxide measurements in a korean population.

Authors:  Woo-Jung Song; Ji-Won Kwon; Eun-Jin Kim; Sang-Min Lee; Sae-Hoon Kim; So-Yeon Lee; Sang-Heon Kim; Heung-Woo Park; Yoon-Seok Chang; Woo Kyung Kim; Jung Yeon Shim; Ju-Hee Seo; Byoung-Ju Kim; Hyo Bin Kim; Dae Jin Song; Gwang Cheon Jang; An-Soo Jang; Jung-Won Park; Ho-Joo Yoon; Joo-Shil Lee; Sang-Heon Cho; Soo-Jong Hong
Journal:  Allergy Asthma Immunol Res       Date:  2014-08-19       Impact factor: 5.764

7.  Risk factors for asthma-related healthcare use: longitudinal analysis using the NHI claims database in a Korean asthma cohort.

Authors:  Taehoon Lee; Jinhee Kim; Sujeong Kim; Kyoungjoo Kim; Yunjin Park; Yuri Kim; Yoon Su Lee; Hyouk-Soo Kwon; Sae-Hoon Kim; Yoon-Seok Chang; You Sook Cho; An-Soo Jang; Jung-Won Park; Dong-Ho Nahm; Ho-Joo Yoon; Sang-Heon Cho; Young-Joo Cho; Byoung Whui Choi; Hee-Bom Moon; Tae-Bum Kim
Journal:  PLoS One       Date:  2014-11-14       Impact factor: 3.240

Review 8.  Asthma exacerbations: origin, effect, and prevention.

Authors:  David J Jackson; Annemarie Sykes; Patrick Mallia; Sebastian L Johnston
Journal:  J Allergy Clin Immunol       Date:  2011-12       Impact factor: 10.793

Review 9.  The role of viruses in acute exacerbations of asthma.

Authors:  David J Jackson; Sebastian L Johnston
Journal:  J Allergy Clin Immunol       Date:  2010-06       Impact factor: 10.793

10.  Soluble CD93 as a Novel Biomarker in Asthma Exacerbation.

Authors:  Naseh Sigari; Ali Jalili; Laili Mahdawi; Ebrahim Ghaderi; Mohammadi Shilan
Journal:  Allergy Asthma Immunol Res       Date:  2016-09       Impact factor: 5.764

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  1 in total

1.  Dyspnea Perception During Induced Bronchoconstriction Is Complicated by the Inhaled Methacholine in Children With Clinical Asthma.

Authors:  Yun Jung Choi; Dong In Suh; Myung Hyun Sohn; Young Yull Koh
Journal:  Allergy Asthma Immunol Res       Date:  2018-03       Impact factor: 5.764

  1 in total

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