Literature DB >> 25823440

New scoring system for the differentiation of chronic obstructive pulmonary disease and asthma.

Young Seok Lee1, Seunghee Baek, Yousang Ko, Mi-Yeong Kim, Hyun-Kyung Lee, Tae-Bum Kim, You Sook Cho, Hee-Bom Moon, Sang-Do Lee, Yeon-Mok Oh.   

Abstract

BACKGROUND AND
OBJECTIVE: It remains difficult to differentiate between chronic obstructive pulmonary disease (COPD) and asthma in clinical practice, especially in a primary care setting. The purpose of this study was to develop a new scoring system for differentiating between COPD and asthma, and to evaluate its effectiveness.
METHODS: First, to identify important variables differentiating COPD from asthma, the data of 197 patients with COPD and 138 patients with asthma were assessed retrospectively. Secondly, a scoring system that was based on these variables was then developed, and its performance was internally validated using a bootstrapping-based method. Thirdly, the scoring system was externally validated using prospectively collected data from patients with COPD (n = 104) or asthma (n = 96).
RESULTS: The final scoring system was composed of the four variables: age of onset of breathlessness (<40 years, 0 points; 40-60 years, 2 points; >60 years, 4 points), continuous breathlessness (no, 0 points; yes, 1 point), diurnal variation of breathlessness (yes, 0 points; no, 1 point) and emphysematous change in chest X-ray (no, 0 points; yes, 1 point). The patients were classified by their total score into three categories: 0-2 points, probable asthma; 3-4 points, difficult-to-differentiate; 5-7 points, probable COPD. The new scoring system performed well in the external validation dataset (area under the curve, 0.86; 95% confidence interval: 0.813-0.911; P < 0.001).
CONCLUSIONS: The new scoring system that was developed in this study may be a useful tool for differentiating between COPD and asthma in primary care.
© 2015 Asian Pacific Society of Respirology.

Entities:  

Keywords:  asthma; chronic obstructive pulmonary disease; differential diagnosis; primary care physician

Mesh:

Year:  2015        PMID: 25823440     DOI: 10.1111/resp.12511

Source DB:  PubMed          Journal:  Respirology        ISSN: 1323-7799            Impact factor:   6.424


  2 in total

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Authors:  Guang Shi; Jun-Wei Zhao; Xiao-Xu Sun; Jun-Fen Ma; Pan Wang; Fu-Cheng He; Liang Ming
Journal:  Exp Ther Med       Date:  2018-02-14       Impact factor: 2.447

2.  Use of clinical characteristics to predict spirometric classification of obstructive lung disease.

Authors:  Steven J Pascoe; Wei Wu; Kathryn A Collison; Linda M Nelsen; Keele E Wurst; Laurie A Lee
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