e-learning
resources
Berlin 2008
Wednesday, 08.10.2008
COPD
Login
Search all ERS
e-learning
resources
Disease Areas
Airways Diseases
Interstitial Lung Diseases
Respiratory Critical Care
Respiratory Infections
Paediatric Respiratory Diseases
Pulmonary Vascular Diseases
Sleep and Breathing Disorders
Thoracic Oncology
Events
International Congress
Courses
Webinars
Conferences
Research Seminars
Journal Clubs
Publications
Breathe
Monograph
ERJ
ERJ Open Research
ERR
European Lung White Book
Handbook Series
Guidelines
All ERS guidelines
e-learning
CME Online
Case reports
Short Videos
SpirXpert
Procedure Videos
CME tests
Reference Database of Respiratory Sounds
Radiology Image Challenge
Brief tobacco interventions
EU Projects
VALUE-Dx
ERN-LUNG
ECRAID
UNITE4TB
Disease Areas
Events
Publications
Guidelines
e-learning
EU Projects
Login
Search
Factors that predict exacerbation severity and recovery measured with the exacerbations of chronic obstructive pulmonary disease (EXACT) tool
T. Wilcox, S. Sethi, N. Kline Leidy (Bethesda, MD, Buffalo, NY, United States Of America)
Source:
Annual Congress 2008 - COPD
Session:
COPD
Session type:
E-Communication Session
Number:
4662
Disease area:
Airway diseases
Rating:
You must
login
to grade this presentation.
Share or cite this content
Citations should be made in the following way:
T. Wilcox, S. Sethi, N. Kline Leidy (Bethesda, MD, Buffalo, NY, United States Of America). Factors that predict exacerbation severity and recovery measured with the exacerbations of chronic obstructive pulmonary disease (EXACT) tool. Eur Respir J 2008; 32: Suppl. 52, 4662
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:
Late Breaking Abstract - Implications of treatable traits and treatment choices on exacerbation risk in moderate-severe asthma
Impact of Dexamethasone on pathogen profile of COVID-19 patients requiring intensive care: a multicentre retrospective study
Muscle energy techniques for COPD patients: Effects on pulmonary function and activities of daily living
Related content which might interest you:
Detection and severity grading of COPD exacerbations using the exacerbations of chronic pulmonary disease tool (EXACT)
Source: Eur Respir J 2014; 43: 735-744
Year: 2014
Application of an outcome prediction model for hospitalized patients with exacerbation of chronic obstructive pulmonary disease (COPD)
Source: Eur Respir J 2005; 26: Suppl. 49, 55s
Year: 2005
Can we predict the outcomes of treatment of patients with severe exacerbation of chronic obstructive pulmonary disease (COPD)?
Source: Eur Respir J 2001; 18: Suppl. 33, 241s
Year: 2001
Breathlessness during exacerbation of chronic obstructive pulmonary disease (ECOPD) and recovery
Source: International Congress 2019 – Lung function testing: from experimental investigations to clinical applications
Year: 2019
Acute exacerbations of chronic obstructive pulmonary disease, clinical characteristics and predictors of exacerbations rate
Source: Eur Respir J 2006; 28: Suppl. 50, 625s
Year: 2006
Predictive accuracy of patient-reported exacerbation frequency in COPD
Source: Eur Respir J 2011; 37: 501-507
Year: 2011
Measurement properties of exacerbations of chronic pulmonary disease tool (EXACT) in a clinical trial of patients with moderate to severe COPD
Source: Annual Congress 2013 –Monitoring symptoms and quality of life
Year: 2013
Active smoking negatively affects recovery of patients hospitalized due to acute exacerbation of chronic obstructive pulmonary disease (COPD)
Source: Annual Congress 2011 - Smoking rate: smoking cessation interventions
Year: 2011
The role of biomarkers in predicting outcomes in acute exacerbations of chronic obstructive pulmonary disease (AECOPD)
Source: Annual Congress 2013 –Infection, sepsis and outcomes in ICU
Year: 2013
Self-medication at exacerbation of chronic obstructive pulmonary disease (COPD) is associated with faster recovery time
Source: Eur Respir J 2003; 22: Suppl. 45, 559s
Year: 2003
Outcome of patients following hospitalization with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) , with and without cardiovascular risk factors
Source: International Congress 2016 – Novel avenues in the treatment of COPD I
Year: 2016
Patient’s knowledge about risk factors for acute exacerbation( AE ) of chronic obstructive pulmonary disease( COPD )
Source: Eur Respir J 2004; 24: Suppl. 48, 514s
Year: 2004
Identifying cut off scores for the chronic obstructive pulmonary disease assessment test (CAT) to predict exacerbations in COPD
Source: International Congress 2017 – Primary care management of asthma and COPD
Year: 2017
The impact of using different symptom-based exacerbation algorithms in patients with COPD
Source: Eur Respir J 2011; 37: 1260-1268
Year: 2011
The CANT score: Predicting mortality in exacerbations of chronic obstructive pulmonary disease
Source: International Congress 2016 – Highlights in the management of COPD and beyond
Year: 2016
Characteristics and outcomes of hospitalizations for acute exacerbation of chronic obstructive pulmonary disease (AECOPD)
Source: Annual Congress 2012 - Prevalences and characterstics of obstructive airway disease
Year: 2012
Quantitative CT characterisation of stable COPD patients relates to COPD severity and exacerbation frequency
Source: Annual Congress 2006 - COPD: imaging and computer applications
Year: 2006
Cardiac biomarkers and outcome in patients with acute exacerbation of chronic obstructive pulmonary disease
Source: Annual Congress 2012 - COPD exacerbation
Year: 2012
Exacerbations of chronic obstructive pulmonary disease (COPD): Correlation of hospitalization days with epidemiological and clinical parameters
Source: Annual Congress 2010 - COPD: treatment and monitoring
Year: 2010
Proactive integrated care improves quality of life in patients with COPD
Source: Eur Respir J 2009; 33: 1031-1038
Year: 2009
We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking "Accept", you consent to the use of the cookies.
Accept