Several articles have discussed the weaning process for venoarterial extracorporeal membrane oxygenation; however, there is no published report to outline a standardized approach for weaning a patient from venovenous extracorporeal membrane oxygenation (ECMO). This complex process requires an organized approach and a thorough understanding of ventilator management and ECMO physiology. The purpose of this article is to describe the venovenous ECMO weaning protocol used at our institution as well as provide a review of the literature.
In June 2016, an advanced extracorporeal membrane oxygenation (ECMO) program consisting of a multidisciplinary team was initiated at a large level-one trauma center. The program was created to standardize management for patients with a wide variety of pathologies, including trauma. This study evaluated the impact of the advanced ECMO program on the outcomes of traumatically injured patients undergoing ECMO. A retrospective cohort study was performed on all patients sustaining traumatic injury who required ECMO support from January 2014 to September 2017. The primary outcome was to determine survival in trauma ECMO patients in the two timeframes, before and after initiation of the advanced ECMO program. Secondary outcomes included complication rates, length of stay, ventilator usage, and ECMO days. One hundred and thirty eight patients were treated with ECMO during the study period. Of the 138 patients, 22 sustained traumatic injury. Seven patients were treated in our pre-group and 15 in our post-group. The majority of patients were treated with VV ECMO. Our post group VV ECMO extracorporeal survival rate was 64% and our survival to discharge was 55%. This study demonstrated an improvement in survival after implementation of our advanced ECMO program. The implementation of a multidisciplinary trauma ECMO team dedicated to the rescue of critically ill patients is the key for achieving excellent outcomes in the trauma population.
To support the global restart of elective surgery, data from an international prospective cohort study of 8492 patients (69 countries) was analysed using artificial intelligence (machine learning techniques) to develop a predictive score for mortality in surgical patients with SARS-CoV-2. We found that patient rather than operation factors were the best predictors and used these to create the COVIDsurg Mortality Score (https://covidsurgrisk.app). Our data demonstrates that it is safe to restart a wide range of surgical services for selected patients.
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