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A differential therapeutic consideration for use of corticosteroids according to established COVID-19 clinical phenotypes in critically ill patientsG. Moreno, M. Ruiz-Botella, I. Martín-Loeches, J. Gómez Álvarez, M. Jiménez Herrera, M. Bodí, F. Armestar, A. Marques Parra, ... on behalf COVID-19 SEMICYUC Working Group
Med Intensiva. 2023;47:23-33
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Anticoagulation strategies and risk of bleeding events in critically ill COVID-19 patientsC. Gabara, B. Solarat, P. Castro, S. Fernández, J.R. Badia, D. Toapanta, S. Schulman, J.C. Reverter, ... J. Aibar
Med Intensiva. 2023;47:1-8
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Conservative versus liberal oxygen therapy in relation to all-cause mortality among patients in the intensive care unit: A systematic review of randomized controlled trials with meta-analysis and trial sequential analysisX. Li, D. Liu, C. Liu, Z. Mao, Y. Liu, H. Yi, F. Zhou
Med Intensiva. 2023;47:73-83
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Does chlorhexidine reduce the incidence of ventilator-associated pneumonia in ICU patients? A systematic review and meta-analysisJ.C. Cruz, C.K. Martins, J.E.V. Piassi, I.R. Garcia Júnior, J.F. Santiago Junior, L.P. Faverani
Med Intensiva. 2023;47:437-44
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Treatment of severe infections caused by ESBL or carbapenemases-producing EnterobacteriaceaeG. Lombardi, E.S. Tanzarella, S.L. Cutuli, G. De Pascale
Med Intensiva. 2023;47:34-44
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Airways management in SARS-COV-2 acute respiratory failure: A prospective observational multi-center studyL. Cattin, F. Ferrari, S. Mongodi, E. Pariani, G. Bettini, F. Daverio, K. Donadello, E. Polati, ... S. De Rosa
Med Intensiva. 2023;47:131-9
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PEEP titration by EIT strategies for patients with ARDS: A systematic review and meta-analysisMengnan Yu, Yanjun Deng, Jun Cha, Lingyan Jiang, Mingdeng Wang, Shigang Qiao, Chen Wang
Med Intensiva. 2023;47:383-90
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Massive hemoptysis due to Aspergillus-related pulmonary artery pseudoaneurysm in a patient with COVID-19 pneumoniaI. Baeza, I. Romera, J.R. Fortuño
Med Intensiva. 2023;47:184-5
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Aspergiloma y COVID-19M. Álvarez Fernández, D. Armando Meléndez, M. Aymerich de Franceschi
Med Intensiva. 2023;47:62-3
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Machine-learning models for prediction of sepsis patients mortalityC. Bao, F. Deng, S. Zhao
Med Intensiva. 2023;47:315-25
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