Rapid response to COVID-19, escalation and de-escalation strategies to match surge capacity of Intensive Care beds to a large scale epidemic
Authors:
- T. BardiTBT. Bardi
- M. Gómez-RojoMGM. Gómez-Rojo
- A.M. Candela-TohaACA.M. Candela-Toha
- R. de PabloRPR. de Pablo
- R. MartinezRMR. Martinez
- D. PestañaDPD. Pestaña
- 1 January 2021
- journal article
- Published by Elsevier in Revista Española de Anestesiología y Reanimación (English Edition)
- Vol. 68 (1) , 21-27
Abstract
No abstract availableKeywords
This publication has 10 references indexed in Scilit:
- Recomendaciones éticas para la toma de decisiones difíciles en las unidades de cuidados intensivos ante la situación excepcional de crisis por la pandemia por COVID-19: revisión rápida y consenso de expertosMedicina Intensiva (English Edition), 2020
- Transforming ORs into ICUsNew England Journal of Medicine, 2020
- Baseline Characteristics and Outcomes of 1591 Patients Infected With SARS-CoV-2 Admitted to ICUs of the Lombardy Region, ItalyJAMA, 2020
- Hospital surge capacity in a tertiary emergency referral centre during the COVID ‐19 outbreak in ItalyAnaesthesia, 2020
- Papa Giovanni XXIII Bergamo Hospital at the time of the COVID‐19 outbreak: Letter from the warfront…International Journal of Laboratory Hematology, 2020
- Fast reshaping of intensive care unit facilities in a large metropolitan hospital in Milan, Italy: facing the COVID-19 pandemic emergencyCritical Care and Resuscitation, 2020
- Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive studyThe Lancet, 2020
- Chapter 2. Surge capacity and infrastructure considerations for mass critical careIntensive Care Medicine, 2010
- Recommendations for intensive care unit and hospital preparations for an influenza epidemic or mass disaster: summary report of the European Society of Intensive Care Medicine’s Task Force for intensive care unit triage during an influenza epidemic or mass disasterIntensive Care Medicine, 2010
- Prospective meta-analysis using individual patient data in intensive care medicineIntensive Care Medicine, 2009