The predictive value of an adjusted COPD assessment test score on the risk of respiratory-related hospitalizations in severe COPD patients.
Chron Respir Dis
; 14(1): 72-84, 2017 02.
Article
em En
| MEDLINE
| ID: mdl-28238276
ABSTRACT
We evaluated whether a chronic obstructive pulmonary disease (COPD) assessment test (CAT) with adjusted weights for the CAT items could better predict future respiratory-related hospitalizations than the original CAT. Two focus groups (respiratory nurses and physicians) generated two adjusted CAT algorithms. Two multivariate logistic regression models for infrequent (≤1/year) versus frequent (>1/year) future respiratory-related hospitalizations were defined one with the adjusted CAT score that correlated best with future hospitalizations and one with the original CAT score. Patient characteristics related to future hospitalizations ( p ≤ 0.2) were also entered. Eighty-two COPD patients were included. The CAT algorithm derived from the nurse focus group was a borderline significant predictor of hospitalization risk (odds ratio (OR) 1.07; 95% confidence interval (CI) 1.00-1.14; p = 0.050) in a model that also included hospitalization frequency in the previous year (OR 3.98; 95% CI 1.30-12.16; p = 0.016) and anticholinergic risk score (OR 3.08; 95% CI 0.87-10.89; p = 0.081). Presence of ischemic heart disease and/or heart failure appeared 'protective' (OR 0.17; 95% CI 0.05-0.62; p = 0.007). The original CAT score was not significantly associated with hospitalization risk. In conclusion, as a predictor of respiratory-related hospitalizations, an adjusted CAT score was marginally significant (although the original CAT score was not). 'Previous respiratory-related hospitalizations' was the strongest factor in this equation.
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Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Doença Pulmonar Obstrutiva Crônica
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Hospitalização
Tipo de estudo:
Etiology_studies
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Prognostic_studies
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Qualitative_research
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Risk_factors_studies
Limite:
Aged
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Aged80
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Ano de publicação:
2017
Tipo de documento:
Article