Literature DB >> 19547847

Accuracy of clinical examination findings in the diagnosis of COPD.

Waldo Luís Leite Dias de Mattos1, Leonardo Gilberto Haas Signori, Fernando Kessler Borges, Jorge Augusto Bergamin, Vivian Machado.   

Abstract

OBJECTIVE: Simple diagnostic methods can facilitate the diagnosis of COPD, which is a major public health problem. The objective of this study was to investigate the accuracy of clinical variables in the diagnosis of COPD.
METHODS: Patients with COPD and control subjects were prospectively evaluated by two investigators regarding nine clinical variables. The likelihood ratio for the diagnosis of COPD was determined using a logistic regression model.
RESULTS: The study comprised 98 patients with COPD (mean age, 62.3+/- 12.3 years; mean FEV1, 48.3 +/- 21.6%) and 102 controls. The likelihood ratios (95% CIs) for the diagnosis of COPD were as follows: 4.75 (2.29-9.82; p < 0.0001) for accessory muscle recruitment; 5.05 (2.72-9.39; p < 0.0001) for pursed-lip breathing; 2.58 (1.45-4.57; p < 0.001) for barrel chest; 3.65 (2.01-6.62; p < 0.0001) for decreased chest expansion; 7.17 (3.75-13.73; p < 0.0001) for reduced breath sounds; 2.17 (1.01-4.67; p < 0.05) for a thoracic index > or = 0.9; 2.36 (1.22-4.58; p < 0.05) for laryngeal height < or = 5.5 cm; 3.44 (1.92-6.16; p < 0.0001) for forced expiratory time > or = 4 s; and 4.78 (2.13-10.70; p < 0.0001) for lower liver edge > or = 4 cm from lower costal edge. Inter-rater reliability for those same variables was, respectively, 0.57, 0.45, 0.62, 0.32, 0.53, 0.32, 0.59, 0.52 and 0.44 (p < 0.0001 for all).
CONCLUSIONS: Various clinical examination findings could be used as diagnostic tests for COPD.

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Year:  2009        PMID: 19547847     DOI: 10.1590/s1806-37132009000500003

Source DB:  PubMed          Journal:  J Bras Pneumol        ISSN: 1806-3713            Impact factor:   2.624


  1 in total

1.  Utility of forced expiratory time as a screening tool for identifying airway obstruction and systematic review of English literature.

Authors:  Ashutosh Nath Aggarwal; Sharmishtha Das; Ritesh Agarwal; Navneet Singh
Journal:  Lung India       Date:  2018 Nov-Dec
  1 in total

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