Document Detail

Accuracy of pulmonary function tests in predicted exercise capacity in COPD patients.
MedLine Citation:
PMID:  15823459     Owner:  NLM     Status:  MEDLINE    
PURPOSE: The purpose of this study was to examine exercise tolerance in patients with COPD from measurements of resting pulmonary function parameters. METHODS: A total of 57 COPD patients were administered the pulmonary function test (PFT) and cardiopulmonary exercise test. The results were analyzed and essentially linear relationships emerged when each subject's VO2 peak was plotted against his individual PFT parameters. Those significant contributors were then introduced in a stepwise multiple regression analysis to determine the best predictor of the VO2 peak. RESULTS: Stepwise multiple regressions in variables revealed that peak oxygen consumption (VO2 peak) was predicted best by the following equation: VO2 peak=(maximum voluntary ventilation x 0.024)+(forced mid-expiratory flow x 0.47)+(body surface area x 0.988)-0.913 (r=0.90; r2=0.81 SE=0.29 L/min). CONCLUSION: We conclude that exercise capacity was predicted from measurements of resting pulmonary function parameters with excellent accuracy in the COPD patient.
G Efremidis; M Tsiamita; A Manolis; K Spiropoulos
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Respiratory medicine     Volume:  99     ISSN:  0954-6111     ISO Abbreviation:  Respir Med     Publication Date:  2005 May 
Date Detail:
Created Date:  2005-04-12     Completed Date:  2005-07-21     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8908438     Medline TA:  Respir Med     Country:  England    
Other Details:
Languages:  eng     Pagination:  609-14     Citation Subset:  IM    
Division of Pneumonology, Department of Internal Medicine, University of Patras Medical School, Patras 26500, Greece.
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MeSH Terms
Exercise Test
Exercise Tolerance*
Middle Aged
Oxygen Consumption
Pulmonary Disease, Chronic Obstructive / metabolism,  physiopathology*
Regression Analysis
Respiratory Function Tests
Sensitivity and Specificity

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