A decision tree to assess short-term mortality after an emergency department visit for an exacerbation of COPD: a cohort study

[1] Steer J(2010)Predicting outcomes following hospitalization for acute exacerbations of COPD QJM 103 817-829

[2] Gibson GJ(2013)Predictors of mortality in hospitalized adults with acute exacerbation of chronic obstructive pulmonary disease Ann Am Thorac Soc 10 81-89

[3] Bourke SC(2014)Predictors of Neurologic Outcome in Patients Resuscitated from Out-of-Hospital Cardiac Arrest Using Classification and Regression Tree Analysis Am J Cardiol 114 1024-1028

[4] Singanayagam A(2014)Using classification and regression trees, liquid-based cytology and nuclear morphometry for the discrimination of endometrial lesions Diagn Cytopathol 42 582-591

[5] Schembri S(2011)Development of a decision tree to assess the severity and prognosis of stable COPD Eur Respir J 38 1294-1300

[6] Chalmers JD(2009)Mortality and need for mechanical ventilation in acute exacerbations of chronic obstructive pulmonary disease. Development and validation of a simple risk score Arch Intern Med 169 1595-1602

[7] Kaji AH(2011)The IRYSS-COPD appropriateness study: objectives, methodology, and description of the prospective cohort BMC Health Serv Res 11 322-555

[8] Hanif AM(2007)Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: GOLD executive summary Am J Respir Crit Care Med 176 532-1049

[9] Bosson N(2009)The 2007 GOLD Guidelines: a comprehensive care framework Respir Care 54 1040-383

[10] Ostermayer D(1987)A new method of classifying prognostic comorbidity in longitudinal studies: development and validation J Chronic Dis 40 373-84

[1] Steer J(2010)Predicting outcomes following hospitalization for acute exacerbations of COPD QJM 103 817-829

[2] Gibson GJ(2013)Predictors of mortality in hospitalized adults with acute exacerbation of chronic obstructive pulmonary disease Ann Am Thorac Soc 10 81-89

[3] Bourke SC(2014)Predictors of Neurologic Outcome in Patients Resuscitated from Out-of-Hospital Cardiac Arrest Using Classification and Regression Tree Analysis Am J Cardiol 114 1024-1028

[4] Singanayagam A(2014)Using classification and regression trees, liquid-based cytology and nuclear morphometry for the discrimination of endometrial lesions Diagn Cytopathol 42 582-591

[5] Schembri S(2011)Development of a decision tree to assess the severity and prognosis of stable COPD Eur Respir J 38 1294-1300

[6] Chalmers JD(2009)Mortality and need for mechanical ventilation in acute exacerbations of chronic obstructive pulmonary disease. Development and validation of a simple risk score Arch Intern Med 169 1595-1602

[7] Kaji AH(2011)The IRYSS-COPD appropriateness study: objectives, methodology, and description of the prospective cohort BMC Health Serv Res 11 322-555

[8] Hanif AM(2007)Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: GOLD executive summary Am J Respir Crit Care Med 176 532-1049

[9] Bosson N(2009)The 2007 GOLD Guidelines: a comprehensive care framework Respir Care 54 1040-383

[10] Ostermayer D(1987)A new method of classifying prognostic comorbidity in longitudinal studies: development and validation J Chronic Dis 40 373-84