Multicomponent indices to predict survival in COPD: the COCOMICS study

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

Source: Eur Respir J 2013; 42: 323-332
Journal Issue: August
Disease area: Airway diseases

Congress or journal article abstractFull text journal articlePDF journal article, handout or slides

Rating: 0
You must login to grade this presentation.

Share or cite this content

Citations should be made in the following way:
Marin Jose M., Alfageme Inmaculada, Almagro Pere, Casanova Ciro, Esteban Cristobal, Soler-Cataluña Juan J., de Torres Juan P., Martínez-Camblor Pablo, Miravitlles Marc, Celli Bartolome R., Soriano Joan B.. Multicomponent indices to predict survival in COPD: the COCOMICS study. Eur Respir J 2013; 42: 323-332

You must login to share this Presentation/Article on Twitter, Facebook, LinkedIn or by email.

Member's Comments

No comment yet.
You must Login to comment this presentation.


Related content which might interest you:
Multicomponent indices to predict survival in COPD
Source: Eur Respir J 2014; 43: 1206
Year: 2014


Multicomponent indices to predict survival in COPD
Source: Eur Respir J 2014; 43: 1207
Year: 2014


COPD related fatigue (COPD-RF) as a patient centred outcome tool in COPD: Various predictors and its correlation with other outcome parameters
Source: International Congress 2016 – Monitoring airway diseases with clinical tools
Year: 2016


Analysis of the ability of different health status and dyspnea measures to predict 5-year mortality in COPD
Source: Eur Respir J 2002; 20: Suppl. 38, 251s
Year: 2002

Relationship of baseline or annual change of clinical parameters on mortality in patients with COPD
Source: Annual Congress 2013 –Risk factors for COPD and lung function decline
Year: 2013

PRM metrics predict COPD progression
Source: International Congress 2018 – Imaging biomarkers and quantitative imaging
Year: 2018

Novel patterns of serum biomarkers profiling using minimal important clinical outcomes (MICO) in the longidutinal study BODE cohort of COPD patients
Source: Annual Congress 2010 - COPD: symptoms and staging
Year: 2010


The BODE index as a tool to predict survival in COPD lung transplant candidates
Source: Eur Respir J 2010; 36: 1494-1495
Year: 2010


Value of measuring SGRQ at stable phase of COPD to predict the timing and deterioration associated with next exacerbation: the MOSAIC study
Source: Eur Respir J 2004; 24: Suppl. 48, 240s
Year: 2004

Health status predicts long-term outcomes in patients with chronic obstructive pulmonary disease (COPD): Pooled analysis of patient-level data from the COPD biomarker qualification consortium database
Source: International Congress 2015 – Notable abstracts in exacerbations, mechanisms and biomarkers in COPD
Year: 2015

Validated the power of terminal status criteria in the prediction of 1-year mortality in patiens with COPD
Source: Virtual Congress 2020 – Epidemiology and understanding of airways diseases in primary care
Year: 2020


Comparison of multidimensional assessment systems with regard to risk prediction for exacerbations of COPD
Source: Annual Congress 2011 - COPD exacerbation
Year: 2011

Indacaterol/glycopyrronium (IND/GLY) improves lung function irrespective of gender baseline differences in patients with COPD: A pooled analysis from the IGNITE Program
Source: International Congress 2016 – Pharmacological treatment of COPD: focus on LABA/LAMA combinations
Year: 2016

Introducing a new prognostic instrument for long-term mortality prediction among COPD patients - the CADOT index.
Source: International Congress 2019 – Advances in clinical management of COPD
Year: 2019


Copeptin predicts all-cause mortality in stable COPD: An analysis of the COSYCONET study
Source: Virtual Congress 2020 – Diagnosis and management of COPD
Year: 2020


Stability of serum biomarkers and their associations with clinical outcomes in COPD patients and controls: a longitudinal study
Source: Annual Congress 2009 - Biomarkers and biology in COPD
Year: 2009


Predicting IPF outcomes: lung function evaluation by %predicted and z-score
Source: Virtual Congress 2021 – Biomarkers and e-health in idiopathic interstitial pneumonia
Year: 2021


Relationship between change in trough FEV1 and COPD patient outcomes: Pooled analysis of 23 clinical trials in patients with COPD
Source: International Congress 2015 – New data on established treatments for asthma and COPD
Year: 2015


Do cardiac biomarkers predict long-term outcomes from exacerbations of COPD?
Source: International Congress 2017 – Highlights on clinical problems in COPD
Year: 2017


Mathematical model to predict the risk of future exacerbations in non-smoking patients with COPD
Source: International Congress 2016 – Phenotyping and monitoring airway diseases
Year: 2016