Finding the best thresholds of FEV1 and dyspnea to predict 5-year survival in COPD patients: the COCOMICS study.
BACKGROUND: FEV1 is universally used as a measure of severity in COPD. Current thresholds are based on expert opinion and not on evidence. OBJECTIVES: We aimed to identify the best FEV1 (% predicted) and dyspnea (mMRC) thresholds to predict 5-yr survival in COPD patients. DESIGN AND METHODS: We cond...
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Public Library of Science (PLoS)
2014-01-01
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| Online Access: | http://europepmc.org/articles/PMC3937394?pdf=render |
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| author | Pere Almagro Pablo Martinez-Camblor Joan B Soriano Jose M Marin Inmaculada Alfageme Ciro Casanova Cristobal Esteban Juan J Soler-Cataluña Juan P de-Torres Bartolome R Celli Marc Miravitlles |
| author_facet | Pere Almagro Pablo Martinez-Camblor Joan B Soriano Jose M Marin Inmaculada Alfageme Ciro Casanova Cristobal Esteban Juan J Soler-Cataluña Juan P de-Torres Bartolome R Celli Marc Miravitlles |
| author_sort | Pere Almagro |
| collection | DOAJ |
| container_title | PLoS ONE |
| description | BACKGROUND: FEV1 is universally used as a measure of severity in COPD. Current thresholds are based on expert opinion and not on evidence. OBJECTIVES: We aimed to identify the best FEV1 (% predicted) and dyspnea (mMRC) thresholds to predict 5-yr survival in COPD patients. DESIGN AND METHODS: We conducted a patient-based pooled analysis of eleven COPD Spanish cohorts (COCOMICS). Survival analysis, ROC curves, and C-statistics were used to identify and compare the best FEV1 (%) and mMRC scale thresholds that predict 5-yr survival. RESULTS: A total of 3,633 patients (93% men), totaling 15,878 person-yrs. were included, with a mean age 66.4 ± 9.7, and predicted FEV1 of 53.8% (± 19.4%). Overall 975 (28.1%) patients died at 5 years. The best thresholds that spirometrically split the COPD population were: mild ≥ 70%, moderate 56-69%, severe 36-55%, and very severe ≤ 35%. Survival at 5 years was 0.89 for patients with FEV1 ≥ 70 vs. 0.46 in patients with FEV1 ≤ 35% (H.R: 6; 95% C.I.: 4.69-7.74). The new classification predicts mortality significantly better than dyspnea (mMRC) or FEV1 GOLD and BODE cutoffs (all p<0.001). Prognostic reliability is maintained at 1, 3, 5, and 10 years. In younger patients, survival was similar for FEV1 (%) values between 70% and 100%, whereas in the elderly the relationship between FEV1 (%) and mortality was inversely linear. CONCLUSIONS: The best thresholds for 5-yr survival were obtained stratifying FEV1 (%) by ≥ 70%, 56-69%, 36-55%, and ≤ 35%. These cutoffs significantly better predict mortality than mMRC or FEV1 (%) GOLD and BODE cutoffs. |
| format | Article |
| id | doaj-art-e41a8a074e82469788ff6e45227bd2ca |
| institution | Directory of Open Access Journals |
| issn | 1932-6203 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| spelling | doaj-art-e41a8a074e82469788ff6e45227bd2ca2025-08-19T20:54:09ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0192e8986610.1371/journal.pone.0089866Finding the best thresholds of FEV1 and dyspnea to predict 5-year survival in COPD patients: the COCOMICS study.Pere AlmagroPablo Martinez-CamblorJoan B SorianoJose M MarinInmaculada AlfagemeCiro CasanovaCristobal EstebanJuan J Soler-CataluñaJuan P de-TorresBartolome R CelliMarc MiravitllesBACKGROUND: FEV1 is universally used as a measure of severity in COPD. Current thresholds are based on expert opinion and not on evidence. OBJECTIVES: We aimed to identify the best FEV1 (% predicted) and dyspnea (mMRC) thresholds to predict 5-yr survival in COPD patients. DESIGN AND METHODS: We conducted a patient-based pooled analysis of eleven COPD Spanish cohorts (COCOMICS). Survival analysis, ROC curves, and C-statistics were used to identify and compare the best FEV1 (%) and mMRC scale thresholds that predict 5-yr survival. RESULTS: A total of 3,633 patients (93% men), totaling 15,878 person-yrs. were included, with a mean age 66.4 ± 9.7, and predicted FEV1 of 53.8% (± 19.4%). Overall 975 (28.1%) patients died at 5 years. The best thresholds that spirometrically split the COPD population were: mild ≥ 70%, moderate 56-69%, severe 36-55%, and very severe ≤ 35%. Survival at 5 years was 0.89 for patients with FEV1 ≥ 70 vs. 0.46 in patients with FEV1 ≤ 35% (H.R: 6; 95% C.I.: 4.69-7.74). The new classification predicts mortality significantly better than dyspnea (mMRC) or FEV1 GOLD and BODE cutoffs (all p<0.001). Prognostic reliability is maintained at 1, 3, 5, and 10 years. In younger patients, survival was similar for FEV1 (%) values between 70% and 100%, whereas in the elderly the relationship between FEV1 (%) and mortality was inversely linear. CONCLUSIONS: The best thresholds for 5-yr survival were obtained stratifying FEV1 (%) by ≥ 70%, 56-69%, 36-55%, and ≤ 35%. These cutoffs significantly better predict mortality than mMRC or FEV1 (%) GOLD and BODE cutoffs.http://europepmc.org/articles/PMC3937394?pdf=render |
| spellingShingle | Pere Almagro Pablo Martinez-Camblor Joan B Soriano Jose M Marin Inmaculada Alfageme Ciro Casanova Cristobal Esteban Juan J Soler-Cataluña Juan P de-Torres Bartolome R Celli Marc Miravitlles Finding the best thresholds of FEV1 and dyspnea to predict 5-year survival in COPD patients: the COCOMICS study. |
| title | Finding the best thresholds of FEV1 and dyspnea to predict 5-year survival in COPD patients: the COCOMICS study. |
| title_full | Finding the best thresholds of FEV1 and dyspnea to predict 5-year survival in COPD patients: the COCOMICS study. |
| title_fullStr | Finding the best thresholds of FEV1 and dyspnea to predict 5-year survival in COPD patients: the COCOMICS study. |
| title_full_unstemmed | Finding the best thresholds of FEV1 and dyspnea to predict 5-year survival in COPD patients: the COCOMICS study. |
| title_short | Finding the best thresholds of FEV1 and dyspnea to predict 5-year survival in COPD patients: the COCOMICS study. |
| title_sort | finding the best thresholds of fev1 and dyspnea to predict 5 year survival in copd patients the cocomics study |
| url | http://europepmc.org/articles/PMC3937394?pdf=render |
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