Literature DB >> 33594358

The repurposed use of anesthesia machines to ventilate critically ill patients with Coronavirus Disease 2019 (COVID-19).

Maurizio Bottiroli1, Angelo Calini2, Riccardo Pinciroli3, Ariel Mueller3, Antonio Siragusa2, Carlo Anelli2, Richard Urman4, Ala Nozari5, Lorenzo Berra3, Michele Mondino2, Roberto Fumagalli2.   

Abstract

BackgroundThe surge of critically ill patients due to the coronavirus disease-2019 (COVID-19) overwhelmed critical care capacity in areas of northern Italy. Anesthesia machines have been used as alternatives to traditional ICU mechanical ventilators. However, the outcomes for patients with COVID-19 respiratory failure cared for with Anesthesia Machines is currently unknow. We hypothesized that COVID-19 patients receiving care with Anesthesia Machines would have worse outcomes compared to standard practice.MethodsWe designed a retrospective study of patients admitted with a confirmed COVID-19 diagnosis at a large tertiary urban hospital in northern Italy. Two care units were included: a 27-bed standard ICU and a 15-bed temporary unit emergently opened in an operating room setting. Intubated patients assigned to Anesthesia Machines (AM group) were compared to a control cohort treated with standard mechanical ventilators (ICU-VENT group). Outcomes were assessed at 60-day follow-up. A multivariable Cox regression analysis of risk factors between survivors and non-survivors was conducted to determine the adjusted risk of death for patients assigned to AM group.ResultsComplete daily data from 89 mechanically ventilated patients consecutively admitted to the two units were analyzed. Seventeen patients were included in the AM group, whereas 72 were in the ICU-VENT group. Disease severity and intensity of treatment were comparable between the two groups. The 60-day mortality was significantly higher in the AM group compared to the ICU-vent group (12/17 vs. 27/72, 70.6% vs. 37.5%, respectively, p = 0.016). Allocation to AM group was associated with a significantly increased risk of death after adjusting for covariates (HR 4.05, 95% CI: 1.75-9.33, p = 0.001). Several incidents and complications were reported with Anesthesia Machine care, raising safety concerns.ConclusionsOur results support the hypothesis that care associated with the use of Anesthesia Machines is inadequate to provide long-term critical care to patients with COVID-19. Added safety risks must be considered if no other option is available to treat severely ill patients during the ongoing pandemic.Clinical Trial NumberNot applicable.

Entities:  

Year:  2021        PMID: 33594358      PMCID: PMC7885930          DOI: 10.21203/rs.3.rs-228821/v1

Source DB:  PubMed          Journal:  Res Sq


  25 in total

1.  Hyperventilation during cardiac arrest.

Authors:  Stephen Pitts; Arthur L Kellermann
Journal:  Lancet       Date:  2004 Jul 24-30       Impact factor: 79.321

2.  Peak pressures during manual ventilation.

Authors:  Mohamed Turki; Michael P Young; Scott S Wagers; Jason H T Bates
Journal:  Respir Care       Date:  2005-03       Impact factor: 2.258

3.  Humidification during invasive and noninvasive mechanical ventilation: 2012.

Authors:  Ruben D Restrepo; Brian K Walsh
Journal:  Respir Care       Date:  2012-05       Impact factor: 2.258

4.  The humidity in a Dräger Primus anesthesia workstation using low or high fresh gas flow and with or without a heat and moisture exchanger in pediatric patients.

Authors:  Gustavo P Bicalho; Leandro G Braz; Larissa S B de Jesus; Cesar M C Pedigone; Lídia R de Carvalho; Norma S P Módolo; José R C Braz
Journal:  Anesth Analg       Date:  2014-10       Impact factor: 5.108

5.  An Official American Thoracic Society/European Society of Intensive Care Medicine/Society of Critical Care Medicine Clinical Practice Guideline: Mechanical Ventilation in Adult Patients with Acute Respiratory Distress Syndrome.

Authors:  Eddy Fan; Lorenzo Del Sorbo; Ewan C Goligher; Carol L Hodgson; Laveena Munshi; Allan J Walkey; Neill K J Adhikari; Marcelo B P Amato; Richard Branson; Roy G Brower; Niall D Ferguson; Ognjen Gajic; Luciano Gattinoni; Dean Hess; Jordi Mancebo; Maureen O Meade; Daniel F McAuley; Antonio Pesenti; V Marco Ranieri; Gordon D Rubenfeld; Eileen Rubin; Maureen Seckel; Arthur S Slutsky; Daniel Talmor; B Taylor Thompson; Hannah Wunsch; Elizabeth Uleryk; Jan Brozek; Laurent J Brochard
Journal:  Am J Respir Crit Care Med       Date:  2017-05-01       Impact factor: 21.405

6.  Desperate times: Repurposing anesthesia machines for mechanical ventilation in COVID-19.

Authors:  Rohan K Panchamia; Mohammad M Piracha; Jon D Samuels
Journal:  J Clin Anesth       Date:  2020-06-23       Impact factor: 9.452

7.  Management of CO2 absorbent while using the anesthesia machine as a mechanical ventilator on patients with COVID-19.

Authors:  Marcelo Luis Abramides Torres; Fernando Augusto Tavares Canhisares; Vinícius Caldeira Quintão
Journal:  Braz J Anesthesiol       Date:  2020-04-22

8.  Surviving Sepsis Campaign: guidelines on the management of critically ill adults with Coronavirus Disease 2019 (COVID-19).

Authors:  Waleed Alhazzani; Morten Hylander Møller; Yaseen M Arabi; Mark Loeb; Michelle Ng Gong; Eddy Fan; Simon Oczkowski; Mitchell M Levy; Lennie Derde; Amy Dzierba; Bin Du; Michael Aboodi; Hannah Wunsch; Maurizio Cecconi; Younsuck Koh; Daniel S Chertow; Kathryn Maitland; Fayez Alshamsi; Emilie Belley-Cote; Massimiliano Greco; Matthew Laundy; Jill S Morgan; Jozef Kesecioglu; Allison McGeer; Leonard Mermel; Manoj J Mammen; Paul E Alexander; Amy Arrington; John E Centofanti; Giuseppe Citerio; Bandar Baw; Ziad A Memish; Naomi Hammond; Frederick G Hayden; Laura Evans; Andrew Rhodes
Journal:  Intensive Care Med       Date:  2020-03-28       Impact factor: 17.440

9.  Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study.

Authors:  Fei Zhou; Ting Yu; Ronghui Du; Guohui Fan; Ying Liu; Zhibo Liu; Jie Xiang; Yeming Wang; Bin Song; Xiaoying Gu; Lulu Guan; Yuan Wei; Hui Li; Xudong Wu; Jiuyang Xu; Shengjin Tu; Yi Zhang; Hua Chen; Bin Cao
Journal:  Lancet       Date:  2020-03-11       Impact factor: 79.321

10.  Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention.

Authors:  Zunyou Wu; Jennifer M McGoogan
Journal:  JAMA       Date:  2020-04-07       Impact factor: 56.272

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