Literature DB >> 16275365

Severity assessment in asthma: An evolving concept.

Mary K Miller1, Charles Johnson, Dave P Miller, Yamo Deniz, Eugene R Bleecker, Sally E Wenzel.   

Abstract

BACKGROUND: Guidelines for the clinical management of asthma base specific treatment recommendations on the assessment of disease severity. Thus, the accuracy of such assessments is essential for proper clinical management. The consistency of asthma severity assessment in patients with difficult-to-treat disease is unknown.
OBJECTIVE: The objectives of this analysis were to compare the asthma severity assessment according to 3 methodologies in patients from The Epidemiology and Natural History of Asthma: Outcomes and Treatment Regimens study.
METHODS: Asthma severity on the basis of the National Asthma Education and Prevention Program and the Global Initiative for Asthma guidelines was compared with physician assessment and benchmarked against asthma-related health care use. Guideline-based asthma severity symptom components were derived from patient-reported questionnaires. Lung function levels were determined by prebronchodilator FEV(1) measurements; asthma-related medication and recent health care use were reported by patients.
RESULTS: There was a clear lack of agreement among the asthma severity assessment modalities. Asthma severity was associated with asthma-related health care use, and patients considered to have severe asthma according to both sets of guidelines and physicians' assessment had the highest health care and medication use.
CONCLUSION: Classification of asthma severity on the basis of current asthma symptoms and lung function may be useful but not completely reflective of a patient's true asthma condition. Clinical assessment of asthma severity should consider a patient's medication use and consumption of health care resources for asthma exacerbations. Additional studies that apply criteria for asthma severity longitudinally are needed to support recommendations for optimal assessment of asthma severity.

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Year:  2005        PMID: 16275365     DOI: 10.1016/j.jaci.2005.08.018

Source DB:  PubMed          Journal:  J Allergy Clin Immunol        ISSN: 0091-6749            Impact factor:   10.793


  18 in total

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Journal:  J Allergy Clin Immunol       Date:  2007-02       Impact factor: 10.793

2.  Overcoming heterogeneity in pediatric asthma: tobacco smoke and asthma characteristics within phenotypic clusters in an African American cohort.

Authors:  Angela S Benton; Zuyi Wang; Jennifer Lerner; Matthew Foerster; Stephen J Teach; Robert J Freishtat
Journal:  J Asthma       Date:  2010-09       Impact factor: 2.515

3.  Asthma symptom utility index: reliability, validity, responsiveness, and the minimal important difference in adult asthmatic patients.

Authors:  Christian Bime; Christine Y Wei; Janet T Holbrook; Marianna M Sockrider; Dennis A Revicki; Robert A Wise
Journal:  J Allergy Clin Immunol       Date:  2012-09-29       Impact factor: 10.793

4.  Genome-wide association study of asthma identifies RAD50-IL13 and HLA-DR/DQ regions.

Authors:  Xingnan Li; Timothy D Howard; Siqun L Zheng; Tmirah Haselkorn; Stephen P Peters; Deborah A Meyers; Eugene R Bleecker
Journal:  J Allergy Clin Immunol       Date:  2010-02       Impact factor: 10.793

5.  Mesenchymal stromal cells mediate Aspergillus hyphal extract-induced allergic airway inflammation by inhibition of the Th17 signaling pathway.

Authors:  Melissa J Lathrop; Elice M Brooks; Nick R Bonenfant; Dino Sokocevic; Zachary D Borg; Meagan Goodwin; Roberto Loi; Fernanda Cruz; Chad W Dunaway; Chad Steele; Daniel J Weiss
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6.  Conundrums in childhood asthma severity, control, and health care use: Puerto Rico versus Rhode Island.

Authors:  Cynthia A Esteban; Robert B Klein; Elizabeth L McQuaid; Gregory K Fritz; Ronald Seifer; Sheryl J Kopel; Jose Rodriguez Santana; Angel Colon; Maria Alvarez; Daphne Koinis-Mitchell; Alexander N Ortega; Brenda Martinez-Nieves; Glorisa Canino
Journal:  J Allergy Clin Immunol       Date:  2009-07-16       Impact factor: 10.793

7.  Subspecialty differences in asthma characteristics and management.

Authors:  Hubert Chen; Charles A Johnson; Tmirah Haselkorn; June H Lee; Elliot Israel
Journal:  Mayo Clin Proc       Date:  2008-07       Impact factor: 7.616

8.  Identification of asthma phenotypes using cluster analysis in the Severe Asthma Research Program.

Authors:  Wendy C Moore; Deborah A Meyers; Sally E Wenzel; W Gerald Teague; Huashi Li; Xingnan Li; Ralph D'Agostino; Mario Castro; Douglas Curran-Everett; Anne M Fitzpatrick; Benjamin Gaston; Nizar N Jarjour; Ronald Sorkness; William J Calhoun; Kian Fan Chung; Suzy A A Comhair; Raed A Dweik; Elliot Israel; Stephen P Peters; William W Busse; Serpil C Erzurum; Eugene R Bleecker
Journal:  Am J Respir Crit Care Med       Date:  2009-11-05       Impact factor: 21.405

9.  Childhood asthma clusters and response to therapy in clinical trials.

Authors:  Timothy S Chang; Robert F Lemanske; David T Mauger; Anne M Fitzpatrick; Christine A Sorkness; Stanley J Szefler; Ronald E Gangnon; C David Page; Daniel J Jackson
Journal:  J Allergy Clin Immunol       Date:  2013-10-15       Impact factor: 10.793

10.  Evolution of asthma severity in a cohort of young adults: is there any gender difference?

Authors:  Chantal Raherison; Christer Janson; Deborah Jarvis; Peter Burney; Lucia Cazzoletti; Roberto de Marco; Françoise Neukirch; Benedicte Leynaert
Journal:  PLoS One       Date:  2009-09-25       Impact factor: 3.240

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