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Medicina Intensiva|November 7, 2022
Analysis of adherence to an early mobilization protocol in an intensive care unit: Data collected prospectively over a period of three years by the clinical information systemP Perelló, J Gómez, J Mariné, et al.Medicina Intensiva|November 7, 2022
Machine-learning models for prediction of sepsis patients mortalityC Bao, F Deng, S ZhaoMedicina Intensiva|November 7, 2022
Prognostic value of the novel P/FPE index to classify ARDS severity: A cohort studyF D Martos-Benítez, R Estévez-Muguercia, V Orama-Requejo, et al.Medicina Intensiva|May 15, 2020
VIRAL ETIOLOGY AND OUTCOME OF SEVERE LOWER RESPIRATORY TRACT INFECTIONS AMONG CRITICALLY ILL CHILDREN ADMITTED TO THE PICUMuhterem Duyu, Zeynep KarakayaMedicina Intensiva|April 30, 2021
Association between blood caspase-8 levels and mortality of patients with malignant middle cerebral artery infarctionL Lorente, M M Martín, A Pérez-Cejas, et al.Medicina Intensiva|June 7, 2015
Analysis of the nutritional management practices in intensive care: Identification of needs for improvementN I Lázaro-Martín, M Catalán-González, C García-Fuentes, et al.Medicina Intensiva|June 14, 2020
Recommendations for specialized nutritional-metabolic management of the critical patient: introduction, methodology and list of recommendations. Metabolism and Nutrition Working Group of the Spanish Society of Intensive and Critical Care Medicine and Coronary Units (SEMICYUC)C Vaquerizo Alonso, L Bordejé Laguna, J F Fernández-Ortega, et al.Medicina Intensiva|April 30, 2021
Mathematical model optimized for prediction and health care planning for COVID-19J M Garrido, D Martínez-Rodríguez, F Rodríguez-Serrano, et al.Medicina Intensiva|May 30, 2006
[Prognostic estimation in critical patients. Validation of a new and very simple system of prognostic estimation of survival in an intensive care unit]R Abizanda, A Padron, B Vidal, et al.Pageof 126