Jakuscheit Axel, Weth Johannes, Lichtner Gregor, Horas Konstantin, Rehberg-Klug Benno, von Dincklage Falk
Department of Orthopaedic Surgery, University of Wuerzburg, Koenig-Ludwig-Haus, Brettreichstr. 11, 97074, Germany.
Department of Anaesthesiology and Intensive Care Medicine, Campus Charité Mitte and Campus Virchow-Klinikum, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.
J Orthop. 2021 Feb 13;24:34-41. doi: 10.1016/j.jor.2021.02.014. eCollection 2021 Mar-Apr.
Aiming at an early identification of patients with an unsatisfactory outcome after hip arthroplasty we investigated the pre-, intra- and early postoperative predictability.
Using logistic regression models at nine different time points we calculated the area under the curve of the receiver operating characteristic (ROC-AUC) to compare the predictability of an unsatisfactory outcome.
The predictability of unsatisfactory outcomes increased significantly from a ROC-AUC (95% CI) of 0.73 (0.62-0.84) in the preoperative setting to 0.85 (0.77-0.94) on day 2 after surgery.
Most of the patients with unsatisfactory outcomes can be identified during the first days after surgery.
为了早期识别髋关节置换术后预后不佳的患者,我们研究了术前、术中和术后早期的预测能力。
在九个不同时间点使用逻辑回归模型,我们计算了受试者工作特征曲线下面积(ROC-AUC),以比较预后不佳的预测能力。
预后不佳的预测能力从术前的ROC-AUC(95%CI)0.73(0.62-0.84)显著增加到术后第2天的0.85(0.77-0.94)。
大多数预后不佳的患者可以在术后第一天内被识别出来。