Br J Surg. 2021 Nov 11;108(11):1274-1292. doi: 10.1093/bjs/znab183.
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.
为了支持全球选择性手术的重启,我们利用人工智能(机器学习技术)分析了一项针对 8492 名患者(来自 69 个国家)的国际前瞻性队列研究的数据,以开发一种针对 SARS-CoV-2 感染手术患者死亡率的预测评分。我们发现,患者因素而非手术因素是最佳预测因素,我们利用这些因素创建了 COVIDsurg Mortality Score(https://covidsurgrisk.app)。我们的数据表明,对于选定的患者,重启广泛的手术服务是安全的。