JOSÉ JAVIER
TRUJILLANO CABELLO
CON
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Hospital Universitario Arnau de Vilanova
Lleida, EspañaPublicaciones en colaboración con investigadores/as de Hospital Universitario Arnau de Vilanova (56)
2023
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Key Factors Associated With Pulmonary Sequelae in the Follow-Up of Critically Ill COVID-19 Patients
Archivos de Bronconeumologia, Vol. 59, Núm. 4, pp. 205-215
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Length-of-Stay in the Emergency Department and In-Hospital Mortality: A Systematic Review and Meta-Analysis
Journal of Clinical Medicine, Vol. 12, Núm. 1
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Preventive isolation criteria for multidrug-resistant bacteria detection in patients admitted to the ICU: Multicenter study within the Zero Resistance program
Medicina Intensiva, Vol. 47, Núm. 11, pp. 629-637
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The Association between Emergency Department Length of Stay and In-Hospital Mortality in Older Patients Using Machine Learning: An Observational Cohort Study
Journal of Clinical Medicine, Vol. 12, Núm. 14
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[Translated article] Results of a preoperative screening and decolonization programme for Staphylococcus aureus in primary hip and knee arthroplasty
Revista Espanola de Cirugia Ortopedica y Traumatologia, Vol. 67, Núm. 4, pp. T309-T316
2022
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Major candidate variables to guide personalised treatment with steroids in critically ill patients with COVID-19: CIBERESUCICOVID study
Intensive Care Medicine, Vol. 48, Núm. 7, pp. 850-864
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The Effect of Enteral Immunonutrition in the Intensive Care Unit: Does It Impact on Outcomes?
Nutrients, Vol. 14, Núm. 9
2021
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Correction to: The evolution of the ventilatory ratio is a prognostic factor in mechanically ventilated COVID-19 ARDS patients (Critical Care, (2021), 25, 1, (331), 10.1186/s13054-021-03727-x)
Critical Care
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Development of a new score for early mortality prediction in trauma ICU patients: RETRASCORE
Critical Care, Vol. 25, Núm. 1
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The evolution of the ventilatory ratio is a prognostic factor in mechanically ventilated COVID-19 ARDS patients
Critical Care, Vol. 25, Núm. 1
2020
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Machine learning techniques for mortality prediction in critical traumatic patients: anatomic and physiologic variables from the RETRAUCI study
BMC Medical Research Methodology, Vol. 20, Núm. 1
2019
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Diagnosis of pain in the right iliac fossa. A new diagnostic score based on Decision-Tree and Artificial Neural Network Methods
Cirugia Espanola, Vol. 97, Núm. 6, pp. 329-335
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Severity scores in trauma patients admitted to ICU. Physiological and anatomic models
Medicina Intensiva, Vol. 43, Núm. 1, pp. 26-34
2018
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Prevalence and characteristics of breakthrough cancer pain in an outpatient clinic in a Catalan teaching hospital: Incorporation of the Edmonton Classification System for Cancer pain into the diagnostic algorithm
BMC Palliative Care, Vol. 17, Núm. 1
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Survey on the assessment of nutritional status and feedback syndrome in Spanish intensive care units
Medicina Intensiva, Vol. 42, Núm. 8, pp. 511-512
2017
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The Spanish Adaptation of the Palliative Performance Scale (Version 2) Among Cancer Patients at the End of Life: Psychometric Properties
Journal of Pain and Symptom Management, Vol. 54, Núm. 4, pp. 570-577.e5
2016
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Estudio de la población nacida pequeña para la edad gestacional en tratamiento con hormona del crecimiento
Acta Pediatrica Espanola, Vol. 74, Núm. 5, pp. 118-123
2015
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Characteristics of isolated multiresistant bacteria according germ, location and “Zero Resistance” criteria
Intensive Care Medicine Experimental
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Complicaciones graves en la intubación orotraqueal en cuidados intensivos: Estudio observacional y análisis de factores de riesgo
Medicina Intensiva, Vol. 39, Núm. 1, pp. 26-33
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Incidence and predictive factors of iron deficiency anemia after acute non-variceal upper gastrointestinal bleeding without portal hypertension
Gastroenterologia y Hepatologia, Vol. 38, Núm. 9, pp. 525-533