Efficacy and Safety of Extracorporeal Membrane Oxygenation in Patients under Mechanical Ventilation with COVID-19 and Severe Acute Respiratory Distress Syndrome: A Health Technology Assessment.
Carlos J Toro-HuamanchumoMaribel M Castro-ReyesVerónica PeraltaJulissa E Venancio-HuertaPablo R Puescas-SanchezEric R Peña-SanchezPublished in: International journal of environmental research and public health (2022)
We aimed to assess the efficacy and safety of extracorporeal membrane oxygenation (ECMO) in patients under mechanical ventilation with COVID-19 and severe acute respiratory distress syndrome (ARDS). A systematic review of the literature published in PubMed, Cochrane Library and LILACS databases, was performed. A manual search was also conducted using the reference lists of the studies included in the full-text assessment, as well as a grey-literature search on Google. Additionally, websites of state institutions and organizations developing clinical practice guidelines and health technology assessments were reviewed. The ClinicalTrials.gov website was screened along with the websites of the International Clinical Trial Registry Platform and the National Registry of Health Research Projects of the Peruvian National Institute of Health. No restrictions were applied in terms of language, time, or country. A total of 13 documents were assessed, which included 7 clinical practice guidelines, 3 health technology assessments, 1 systematic review, 1 randomized clinical trial, and 1 observational study. A critical appraisal was conducted for each document. After this, we considered that the currently available evidence is insufficient for a conclusion supporting the use of ECMO in patients under mechanical ventilation with severe ARDS associated to COVID-19 in terms of mortality, safety, and quality of life.
Keyphrases
- acute respiratory distress syndrome
- mechanical ventilation
- extracorporeal membrane oxygenation
- respiratory failure
- end stage renal disease
- systematic review
- chronic kidney disease
- healthcare
- public health
- sars cov
- clinical trial
- coronavirus disease
- ejection fraction
- newly diagnosed
- mental health
- prognostic factors
- peritoneal dialysis
- cardiovascular disease
- type diabetes
- intensive care unit
- quality improvement
- autism spectrum disorder
- early onset
- randomized controlled trial
- meta analyses
- cardiovascular events
- machine learning
- open label
- white matter
- deep learning
- social media
- smoking cessation
- single cell