RATIONALE: Patients with chronic obstructive pulmonary disease (COPD) are afflicted by comorbidities. Few studies have prospectively evaluated COPD comorbidities and mortality risk. OBJECTIVES: To prospectively evaluate COPD comorbidities and mortality risk. METHODS: We followed 1,664 patients with COPD in five centers for a median of 51 months. Systematically, 79 comorbidities were recorded. We calculated mortality risk using Cox proportional hazard, and developed a graphic representation of the prevalence and strength of association to mortality in the form of a "comorbidome". A COPD comorbidity index (COPD specific comorbidity test [COTE]) was constructed based on the comorbidities that increase mortality risk using a multivariate analysis. We tested the COTE index as predictor of mortality and explored whether the COTE index added predictive information when used with the validated BODE index. MEASUREMENTS AND MAIN RESULTS: Fifteen of 79 comorbidities differed in prevalence between survivors and nonsurvivors. Of those, 12 predicted mortality and were integrated into the COTE index. Increases in the COTE index were associated with an increased risk of death from COPD-related (hazard ratio [HR], 1.13; 95% confidence interval, 1.08-1.18; P < 0.001) and non-COPD-related causes (HR, 1.18; 95% confidence interval, 1.15-1.21; P < 0.001). Further, increases in the BODE and COTE were independently associated with increased risk of death. A COTE score of greater than or equal to 4 points increased by 2.2-fold the risk of death (HR, 2.26-2.68; P < 0.001) in all BODE quartile. CONCLUSIONS: Comorbidities are frequent in COPD and 12 of them negatively influence survival. A simple disease-specific comorbidities index (COTE) helps assess mortality risk in patients with COPD.
RATIONALE: Patients with chronic obstructive pulmonary disease (COPD) are afflicted by comorbidities. Few studies have prospectively evaluated COPD comorbidities and mortality risk. OBJECTIVES: To prospectively evaluate COPD comorbidities and mortality risk. METHODS: We followed 1,664 patients with COPD in five centers for a median of 51 months. Systematically, 79 comorbidities were recorded. We calculated mortality risk using Cox proportional hazard, and developed a graphic representation of the prevalence and strength of association to mortality in the form of a "comorbidome". A COPD comorbidity index (COPD specific comorbidity test [COTE]) was constructed based on the comorbidities that increase mortality risk using a multivariate analysis. We tested the COTE index as predictor of mortality and explored whether the COTE index added predictive information when used with the validated BODE index. MEASUREMENTS AND MAIN RESULTS: Fifteen of 79 comorbidities differed in prevalence between survivors and nonsurvivors. Of those, 12 predicted mortality and were integrated into the COTE index. Increases in the COTE index were associated with an increased risk of death from COPD-related (hazard ratio [HR], 1.13; 95% confidence interval, 1.08-1.18; P < 0.001) and non-COPD-related causes (HR, 1.18; 95% confidence interval, 1.15-1.21; P < 0.001). Further, increases in the BODE and COTE were independently associated with increased risk of death. A COTE score of greater than or equal to 4 points increased by 2.2-fold the risk of death (HR, 2.26-2.68; P < 0.001) in all BODE quartile. CONCLUSIONS: Comorbidities are frequent in COPD and 12 of them negatively influence survival. A simple disease-specific comorbidities index (COTE) helps assess mortality risk in patients with COPD.
Authors: Anke Lenferink; Marjolein Brusse-Keizer; Paul Dlpm van der Valk; Peter A Frith; Marlies Zwerink; Evelyn M Monninkhof; Job van der Palen; Tanja W Effing Journal: Cochrane Database Syst Rev Date: 2017-08-04
Authors: Francesca Polverino; Maria E Laucho-Contreras; Hans Petersen; Vanesa Bijol; Lynette M Sholl; Mary E Choi; Miguel Divo; Victor Pinto-Plata; Alfredo Chetta; Yohannes Tesfaigzi; Bartolomé R Celli; Caroline A Owen Journal: Am J Respir Crit Care Med Date: 2017-06-01 Impact factor: 21.405
Authors: Daniel Sanchez-Morillo; Miguel Angel Fernandez-Granero; Antonio León Jiménez Journal: Med Biol Eng Comput Date: 2015-03-01 Impact factor: 2.602
Authors: Peng Wang; Dong Zhang; Xue-Guang Guo; Bao-Jun Sun; Xiang-Qun Fang; Ge-Ping Qu; Chang-Ting Liu Journal: Nan Fang Yi Ke Da Xue Xue Bao Date: 2017-07-20
Authors: Stephen J Ives; Ryan A Harris; Melissa A H Witman; Anette S Fjeldstad; Ryan S Garten; John McDaniel; D Walter Wray; Russell S Richardson Journal: Hypertension Date: 2013-12-09 Impact factor: 10.190