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International Journal of Chronic Obstructive Pulmonary Disease Volume 4, 2009 - Issue

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Original Research

Can dead space fraction predict the length of mechanical ventilation in exacerbated COPD patients?

Raymond Farah1 Specialist in Internal Medicine and Nephrology, Department of Internal Medicine B, Ziv Medical Center, Safed-IsraelCorrespondence[email protected]

Nicola Makhoul2 Director of Respiratory Intensive Care Unit, Western Galilee Hospital, Nahariya, Israel

Pages 437-441 | Published online: 25 Nov 2009

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Citations (5)

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Articles from other publishers (5)

Fleur T. Tehrani. (2020) Mathematical model of the human respiratory system in chronic obstructive pulmonary disease. Healthcare Technology Letters 7:6, pages 139-145.
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Matthias van der Staay & Robert L. Chatburn. (2018) Advanced modes of mechanical ventilation and optimal targeting schemes. Intensive Care Medicine Experimental 6:1.
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. (2017) Model-Based Estimation of Respiratory Parameters from Capnography, With Application to Diagnosing Obstructive Lung Disease. IEEE Transactions on Biomedical Engineering 64:12, pages 2957-2967.
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Hoda A. Abu Youssef, Alaa Eldin O. Shalaby, Ahmed M. Abd El Hafiz, Marwa M. Shaban & Hamed A.G. Hamed. (2016) Predictive value of rapid shallow breathing index in relation to the weaning outcome in ICU patients. Egyptian Journal of Chest Diseases and Tuberculosis 65:2, pages 465-472.
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Gamal Rabie Agmy, Hala A. Mohammad & Abeer A. M. Hassanin. (2015) The prognostic value of the dead-space fraction and other physiological parameters in the weaning process of mechanical ventilation in patients with obstructive air flow. Egyptian Journal of Bronchology 9:3, pages 245-252.
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