Alejandro Rodriguez Oviedo

Head of section ICU - Cont.

Spain

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About

Alejandro Rodriguez Oviedo is the Head of Section for the Intensive Care Unit at Hospital Universitari de Tarragona Joan XXIII in Spain. His research primarily focuses on critical care, with recent articles examining topics such as microvascular reactivity in sepsis, machine learning in ICU mortality risk assessment, and management strategies for ventilator-associated pneumonia. He contributes to advancing knowledge on the treatment and outcomes for critically ill patients through empirical and machine learning approaches.

Articles (18)

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2025

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2024

Collaborators (27)

Szymon Skoczyński

Medical University of Silesia School of Medicine in Katowice

POLAND

Alejandro Rodriguez Oviedo

Research Interests

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Articles (18)

Machine Learning-Based Identification of Risk Factors for ICU Mortality in 8902 Critically Ill Patients with Pandemic Viral Infection

Combining Predictive Models of Mortality and Time-to-Discharge for Improved Outcome Assessment in Intensive Care Units

Does Empirical Antibiotic Use Improve Outcomes in Ventilated Patients with Pandemic Viral Infection? A Multicentre Retrospective Study

Factors Associated with Mortality in Nosocomial Lower Respiratory Tract Infections: An ENIRRI Analysis

Albumin Enhances Microvascular Reactivity in Sepsis: Insights from Near-Infrared Spectroscopy and Vascular Occlusion Testing

Management of Intra-Abdominal Candidiasis in Intensive Care Setting: A Narrative Review

Ten-Year Evaluation of Ventilator-Associated Pneumonia (VAP) According to Initial Empiric Treatment: A Retrospective Analysis Using Real-World Data

A Real-World Data Observational Analysis of the Impact of Liposomal Amphotericin B on Renal Function Using Machine Learning in Critically Ill Patients

A targeted likelihood estimation comparing cefepime and piperacillin/tazobactam in critically ill patients with community-acquired pneumonia (CAP)

Applicability of an unsupervised cluster model developed on first wave COVID-19 patients in second/third wave critically ill patients,Aplicabilidad de un modelo no supervisado de conglomerados desarrollado en pacientes COVID-19 de primera oleada en pacientes críticos de segunda/tercera oleada

Assessing the impact of real-time random safety audits through full propensity score matching on reliable data from the clinical information system

Association between multimorbidity and postoperative mortality in patients undergoing major surgery: a prospective study in 29 countries across Europe

Association of obesity on the outcome of critically ill patients affected by COVID-19,Asociación de la obesidad en la evolución de los pacientes críticos afectados por COVID-19

Clustering COVID-19 ARDS patients through the first days of ICU admission. An analysis of the CIBERESUCICOVID Cohort

Early use of teduglutide in paediatric patients with intestinal failure is associated with a greater response rate: a multicenter study

Hospital-acquired bacterial pneumonia in critically ill patients: from research to clinical practice

Transcultural adaptation and validation of IMPACT-III and IMPACT-III-P in Spanish families: a multicenter study from SEGHNP

A Machine Learning Approach to Determine Risk Factors for Respiratory Bacterial/Fungal Coinfection in Critically Ill Patients with Influenza and SARS-CoV-2 Infection: A Spanish Perspective

Collaborators (27)

Szymon Skoczyński

Filipe Froes

Jasper Stijns

Dario Oppici

Andrea Cortegiani

Daniele Sambucci

Josep Gómez

CHRISTOS KONTOVOUNISIOS

MARIA BODÍ

STEFANO NAVA

Shalini Ahuja

Maksim Tishukov

Ricardo Torres-Peral

Rut Andrea

Miguel Ángel García Ureña

Gilda Pasta

Antonio Gil-Moreno

Angel Estella

Luis Joaquín García Flórez

Helmut J.F. SALZER

Massimo Antonelli

María-Luisa Cantón-Bulnes

RAFAEL MARTÍN-MASOT

Philipp Höhn

marcello migliore

Laurenz Hauptmann

Antonio Mario Scanu

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