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Original Research

Prediction of short term re-exacerbation in patients with acute exacerbation of chronic obstructive pulmonary disease

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Pages 1265-1273 | Published online: 02 Jul 2015

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Read on this site (4)

Wilhelmine H Meeraus, Bailey M DeBarmore, Hana Mullerova, William A Fahy & Victoria S Benson. (2021) Terms and Definitions Used to Describe Recurrence, Treatment Failure and Recovery of Acute Exacerbations of COPD: A Systematic Review of Observational Studies. International Journal of Chronic Obstructive Pulmonary Disease 16, pages 3487-3502.
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Wilhelmine H Meeraus, Hana Mullerova, Céline El Baou, Marion Fahey, Edith M Hessel & William A Fahy. (2021) Predicting Re-Exacerbation Timing and Understanding Prolonged Exacerbations: An Analysis of Patients with COPD in the ECLIPSE Cohort. International Journal of Chronic Obstructive Pulmonary Disease 16, pages 225-244.
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Wei-ping Hu, Tsokyi Lhamo, Dong Liu, Jing-qing Hang, Feng-ying Zhang, Yi-hui Zuo, Ying-ying Zeng & Jing Zhang. (2019) Development of a Nomogram to Predict the Risk of 30-Day Re-Exacerbation for Patients Hospitalized for Acute Exacerbation of Chronic Obstructive Pulmonary Disease. COPD: Journal of Chronic Obstructive Pulmonary Disease 16:2, pages 160-167.
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Marjan Kerkhof, Daryl Freeman, Rupert Jones, Alison Chisholm & David B Price. (2015) Predicting frequent COPD exacerbations using primary care data. International Journal of Chronic Obstructive Pulmonary Disease 10, pages 2439-2450.
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Articles from other publishers (3)

海滨 马. (2023) Research Progress of Chronic Obstructive Pulmonary Disease Water and Fluid Metabolism Disorder. Advances in Clinical Medicine 13:03, pages 3643-3650.
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Daniyal Liaqat. (2016) Using Mobile Sensing to Predict Episodes of Medical Conditions. Using Mobile Sensing to Predict Episodes of Medical Conditions.
Tom Priddle. (2015) Long-Term NIV in COPD – Who and When?. EMJ Respiratory, pages 71-77.
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