• Cristóbal Esteban, José M Quintana, Javier Moraza, Myriam Aburto, Urko Aguirre, José I Aguirregomoscorta, Susana Aizpiri, Luis V Basualdo, and Alberto Capelastegui.
• Pneumology Department, Hospital Galdakao-Usansolo, Galdakao, Bizkaia, Spain. cristobal_esteban@yahoo.es
• Bmc Med. 2010 Jan 1;8:28.

BackgroundForced expiratory volume in one second (FEV1) is used to diagnose and establish a prognosis in chronic obstructive pulmonary disease (COPD). Using multi-dimensional scores improves this predictive capacity.Two instruments, the BODE-index (Body mass index, Obstruction, Dyspnea, Exercise capacity) and the HADO-score (Health, Activity, Dyspnea, Obstruction), were compared in the prediction of mortality among COPD patients.MethodsThis is a prospective longitudinal study. During one year (2003 to 2004), 543 consecutively COPD patients were recruited in five outpatient clinics and followed for three years. The endpoints were all-causes and respiratory mortality.ResultsIn the multivariate analysis of patients with FEV1 < 50%, no significant differences were observed in all-cause or respiratory mortality across HADO categories, while significant differences were observed between patients with a lower BODE (less severe disease) and those with a higher BODE (greater severity). Among patients with FEV1 > or = 50%, statistically significant differences were observed across HADO categories for all-cause and respiratory mortality, while differences were observed across BODE categories only in all-cause mortality.ConclusionsHADO-score and BODE-index were good predictors of all-cause and respiratory mortality in the entire cohort. In patients with severe COPD (FEV1 < 50%) the BODE index was a better predictor of mortality whereas in patients with mild or moderate COPD (FEV1 > or = 50%), the HADO-score was as good a predictor of respiratory mortality as the BODE-index. These differences suggest that the HADO-score and BODE-index could be used for different patient populations and at different healthcare levels, but can be used complementarily.

17 keywords...

hide…