RATIONALE: Chronic obstructive pulmonary disease (COPD) is increasingly recognized as a multicomponent disease with systemic consequences and effects on quality of life. Single measures such as lung function provide a limited reflection of how the disease affects patients. Composite measures have the potential to account for many of the facets of COPD. OBJECTIVES: To derive and validate a multicomponent assessment tool of COPD severity that is applicable to all patients and health care settings. METHODS: The index was derived using data from 375 patients with COPD in primary care. Regression analysis led to a model explaining 48% of the variance in health status as measured by the Clinical COPD Questionnaire with four components: dyspnea (D), airflow obstruction (O), smoking status (S), and exacerbation frequency (E). The DOSE Index was validated in cross-sectional and longitudinal samples in various health care settings in Holland, Japan, and the United Kingdom. MEASUREMENTS AND MAIN RESULTS: The DOSE Index correlated with health status in all data sets. A high DOSE Index score (> or = 4) was associated with a greater risk of hospital admission (odds ratio, 8.3 [4.1-17]) or respiratory failure (odds ratio, 7.8 [3.4-18.3]). The index predicted exacerbations in the subsequent year (P < or = 0.014). CONCLUSIONS: The DOSE Index is a simple, valid tool for assessing the severity of COPD. The index is related to a range of clinically important outcomes such as health care consumption and predicts future events.
RATIONALE: Chronic obstructive pulmonary disease (COPD) is increasingly recognized as a multicomponent disease with systemic consequences and effects on quality of life. Single measures such as lung function provide a limited reflection of how the disease affects patients. Composite measures have the potential to account for many of the facets of COPD. OBJECTIVES: To derive and validate a multicomponent assessment tool of COPD severity that is applicable to all patients and health care settings. METHODS: The index was derived using data from 375 patients with COPD in primary care. Regression analysis led to a model explaining 48% of the variance in health status as measured by the Clinical COPD Questionnaire with four components: dyspnea (D), airflow obstruction (O), smoking status (S), and exacerbation frequency (E). The DOSE Index was validated in cross-sectional and longitudinal samples in various health care settings in Holland, Japan, and the United Kingdom. MEASUREMENTS AND MAIN RESULTS: The DOSE Index correlated with health status in all data sets. A high DOSE Index score (> or = 4) was associated with a greater risk of hospital admission (odds ratio, 8.3 [4.1-17]) or respiratory failure (odds ratio, 7.8 [3.4-18.3]). The index predicted exacerbations in the subsequent year (P < or = 0.014). CONCLUSIONS: The DOSE Index is a simple, valid tool for assessing the severity of COPD. The index is related to a range of clinically important outcomes such as health care consumption and predicts future events.
Authors: Ian G Stiell; Jeffrey J Perry; Catherine M Clement; Robert J Brison; Brian H Rowe; Shawn D Aaron; Andrew D McRae; Bjug Borgundvaag; Lisa A Calder; Alan J Forster; Jennifer Brinkhurst; George A Wells Journal: CMAJ Date: 2018-12-03 Impact factor: 8.262
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Authors: Nitin Mehrotra; Amado X Freire; Douglas C Bauer; Tamara B Harris; Anne B Newman; Stephen B Kritchevsky; Bernd Meibohm Journal: Ann Epidemiol Date: 2010-03 Impact factor: 3.797
Authors: Dheeraj Gupta; Ritesh Agarwal; Ashutosh Nath Aggarwal; V N Maturu; Sahajal Dhooria; K T Prasad; Inderpaul S Sehgal; Lakshmikant B Yenge; Aditya Jindal; Navneet Singh; A G Ghoshal; G C Khilnani; J K Samaria; S N Gaur; D Behera Journal: Lung India Date: 2013-07
Authors: Ian G Stiell; Catherine M Clement; Shawn D Aaron; Brian H Rowe; Jeffrey J Perry; Robert J Brison; Lisa A Calder; Eddy Lang; Bjug Borgundvaag; Alan J Forster; George A Wells Journal: CMAJ Date: 2014-02-18 Impact factor: 8.262
Authors: Jamilah Meghji; Maia Lesosky; Elizabeth Joekes; Peter Banda; Jamie Rylance; Stephen Gordon; Joseph Jacob; Harmien Zonderland; Peter MacPherson; Elizabeth L Corbett; Kevin Mortimer; Stephen Bertel Squire Journal: Thorax Date: 2020-02-26 Impact factor: 9.139