Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
COVIDSurg, Collaborative
.
Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score.
Br J Surg. 2021; 108(11): 1274-1292.
Doi: 10.1093/bjs/znab183
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- Study Group Mitglieder der Med Uni Graz:
- Cohnert Tina Ulrike
- Eibinger Nicolas
- Fediuk Melanie
- Kahn Judith
- Lumenta David Benjamin
- Michelitsch Birgit
- Nischwitz Sebastian Philipp
- Papinutti Alja
- Pau Mauro
- Richtig Erika
- Seidel Gerald
- Srekl-Filzmaier Petra
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- Abstract:
- 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.