Literature DB >> 23222874

Multicomponent indices to predict survival in COPD: the COCOMICS study.

Jose M Marin1, Inmaculada Alfageme, Pere Almagro, Ciro Casanova, Cristobal Esteban, Juan J Soler-Cataluña, Juan P de Torres, Pablo Martínez-Camblor, Marc Miravitlles, Bartolome R Celli, Joan B Soriano.   

Abstract

Guidelines recommend defining chronic obstructive pulmonary disease (COPD) by airflow obstruction and other factors, but no studies have evaluated the ability of existing multicomponent indices to predict mortality up to 10 years. We conducted a patient-based pooled analysis. Survival analysis and C statistics were used to determine the best COPD index/indices according to several construct variables and by varying time-points. Individual data of 3633 patients from 11 COPD cohorts were collected, totalling the experience of 15 878 person-years. Overall, there were 1245 death events within our cohorts, with a Kaplan-Meier survival of 0.963 at 6 months, which was reduced to 0.432 at 10 years. In all patients, ADO (age, dyspnoea and forced expiratory volume in 1 s), BODE (body mass index, airflow obstruction, dyspnoea and exercise capacity) and e-BODE (BODE plus exacerbations) were the best indices to predict 6-month mortality. The ADO index was the best to predict 12-month (C statistic 0.702), 5-year (C statistic 0.695) and 10-year mortality (C statistic 0.698), and was significantly better than BODE (all p<0.05). The best indices to predict death by C statistics when adjusting by age were e-BODE, BODEx (substitution of exacerbations for exercise capacity) and BODE. No index predicts short-term survival of COPD well. All BODE modifications scored better than ADO after age adjustment. The ADO and BODE indices are overall the most valid multicomponent indices to predict time to death in all COPD patients.

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Year:  2012        PMID: 23222874     DOI: 10.1183/09031936.00121012

Source DB:  PubMed          Journal:  Eur Respir J        ISSN: 0903-1936            Impact factor:   16.671


  27 in total

1.  Machine Learning and Prediction of All-Cause Mortality in COPD.

Authors:  Matthew Moll; Dandi Qiao; Elizabeth A Regan; Gary M Hunninghake; Barry J Make; Ruth Tal-Singer; Michael J McGeachie; Peter J Castaldi; Raul San Jose Estepar; George R Washko; James M Wells; David LaFon; Matthew Strand; Russell P Bowler; MeiLan K Han; Jorgen Vestbo; Bartolome Celli; Peter Calverley; James Crapo; Edwin K Silverman; Brian D Hobbs; Michael H Cho
Journal:  Chest       Date:  2020-04-27       Impact factor: 9.410

2.  Predicting individual lung-function trajectories: An opportunity for prevention?

Authors:  Milo A Puhan
Journal:  CMAJ       Date:  2016-08-02       Impact factor: 8.262

3.  Comorbidity Distribution, Clinical Expression and Survival in COPD Patients with Different Body Mass Index.

Authors:  Miguel J Divo; Carlos Cabrera; Ciro Casanova; Jose M Marin; Victor M Pinto-Plata; Juan P de-Torres; Javier Zulueta; Jorge Zagaceta; Pablo Sanchez-Salcedo; Juan Berto; Claudia Cote; Bartolome R Celli
Journal:  Chronic Obstr Pulm Dis       Date:  2014-09-25

4.  Value of Cardiopulmonary Exercise Testing in the Prognosis Assessment of Chronic Obstructive Pulmonary Disease Patients: A Retrospective, Multicentre Cohort Study.

Authors:  Ralf Ewert; Anne Obst; Andreas Mühle; Michael Halank; Jörg Winkler; Bernd Trümper; Gerhard Hoheisel; Andreas Hoheisel; Mark Wiersbitzky; Alexander Heine; Alexander Maiwald; Sven Gläser; Beate Stubbe
Journal:  Respiration       Date:  2021-11-19       Impact factor: 3.966

Review 5.  Identification of clinical phenotypes using cluster analyses in COPD patients with multiple comorbidities.

Authors:  Pierre-Régis Burgel; Jean-Louis Paillasseur; Nicolas Roche
Journal:  Biomed Res Int       Date:  2014-02-10       Impact factor: 3.411

6.  Multi-component assessment of chronic obstructive pulmonary disease: an evaluation of the ADO and DOSE indices and the global obstructive lung disease categories in international primary care data sets.

Authors:  Rupert C Jones; David Price; Niels H Chavannes; Amanda J Lee; Michael E Hyland; Björn Ställberg; Karin Lisspers; Josefin Sundh; Thys van der Molen; Ioanna Tsiligianni
Journal:  NPJ Prim Care Respir Med       Date:  2016-04-07       Impact factor: 2.871

7.  COPD in HIV-Infected Patients: CD4 Cell Count Highly Correlated.

Authors:  Karine Risso; Francine Guillouet-de-Salvador; Laure Valerio; Pascal Puglièse; Alissa Naqvi; Jacques Durant; Elisa Demonchy; Isabelle Perbost; Eric Cua; Charles-Hugo Marquette; Pierre-Marie Roger
Journal:  PLoS One       Date:  2017-01-05       Impact factor: 3.240

8.  Multiple Score Comparison: a network meta-analysis approach to comparison and external validation of prognostic scores.

Authors:  Sarah R Haile; Beniamino Guerra; Joan B Soriano; Milo A Puhan
Journal:  BMC Med Res Methodol       Date:  2017-12-21       Impact factor: 4.615

9.  Acute kidney injury in stable COPD and at exacerbation.

Authors:  M F Barakat; H I McDonald; T J Collier; L Smeeth; D Nitsch; J K Quint
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2015-09-28

10.  Finding the best thresholds of FEV1 and dyspnea to predict 5-year survival in COPD patients: the COCOMICS study.

Authors:  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
Journal:  PLoS One       Date:  2014-02-27       Impact factor: 3.240

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