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.
BACKGROUND: Transplantation of kidneys from deceased donors is still associated with a high rate of postoperative renal dysfunction. During implantation into the recipient, the kidney rewarms. This second warm ischaemia time, which is not monitored, is harmful especially if prolonged. We recently developed an intra-abdominal cooling device that efficiently prevents kidney rewarming during robotic transplantation, and prevents ischaemiareperfusion injuries. We tested the benefits of this cooling device during open kidney transplantation in pigs. METHODS: Kidneys were procured from large pigs by open bilateral nephrectomy. Following procurement, kidneys were flushed with 4°C Institut Georges Lopez-1 preservation solution, and placed on ice. Animals then underwent double sequential autologous open renal transplantation with (n = 7) and without (n = 6) intra-abdominal cooling.RESULTS: Mean anastomosis time was similar between groups (43.9 ± 13 minutes). At reperfusion, the renal cortex temperature was lower in the group with cooling (4.3 ± 1.1°C vs 26.5 ± 5.5°C, p <0.001). The cooled kidneys tended to be protected from injury, including some histopathological ischaemia-reperfusion lesions. With the device, kidneys had a better immediate postoperative urine output (p = 0.05).
CONCLUSION:Our results indicate that the intra-abdominal cooling device significantly reduced second warm ischaemic time during transplantation, is technically safe and does not prolong anastomotic time.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.