The Utility of a Personalised Risk Calculator in Gynae-Oncology Surgery

S. Jones, I. Murray, K. Lim, Robert Howells, R. Jones, Aarti Sharma
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Abstract

Objective: The objective of this study was to assess the ability of the American College of Surgeons (ACS) NSQIP surgical risk calculator to accurately identify patients at increased risk of perioperative complication following surgery for gynaecological malignancy. Methods: A retrospective review of 142 patients who underwent major surgery under the gynae-oncology team between 06/08/2018-16/04/2019 at the University Hospital of Wales. Pre-operative factors combined with a procedure-specific code generated the predicted risk of 13 post-operative complications for each patient. Brier scores assessed calibration and receiver operated curves (AUC) evaluated the discriminative power of NSQIP. Results: Complications were experienced by 50/142 (35.2%) patients. The calculator displayed adequate calibration when used to predict serious complications (Brier = 0.070), readmission (Brier = 0.058), return to OR (Brier = 0.000) and UTI (Brier = 0.001). It had the greatest discriminative power when predicting the risk of serious complications (AUC = 0.672; 95% CI, 0.481-0.863). The calculator successfully identified a majority of patients who had a complication as being of ‘above average risk’ for all complications, apart from return to OR, based on their pre-operative factors. Discussion: NSQIP has previously been demonstrated to be a useful pre-operative tool for evaluating the risk of post-operative complications in colorectal surgery. This study suggests that in the setting of gynaeoncology surgery the calculator does not have adequate discriminative power to be an absolute predictor of all complications, however, it may be useful in identifying patients who are likely to develop serious complications and those at above average risk of complications.
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个性化风险计算器在妇科肿瘤手术中的应用
目的:本研究的目的是评估美国外科医师学会(ACS)NSQIP手术风险计算器准确识别妇科恶性肿瘤手术后围手术期并发症风险增加患者的能力。方法:回顾性分析威尔士大学医院2018年6月8日至2019年4月16日期间接受妇科肿瘤科大手术的142例患者。术前因素与手术特定代码相结合,对每位患者产生13个术后并发症的预测风险。Brier评分评估校准,受试者操作曲线(AUC)评估NSQIP的判别能力。结果:50/142例(35.2%)患者出现并发症。当用于预测严重并发症(Brier = 0.070)、再入院(Brier = 0.058)、重返手术室(Brier = 0.000)和尿路感染(Brier = 0.001)时,计算器显示出足够的校准。在预测严重并发症风险时,其鉴别能力最强(AUC = 0.672;95% ci, 0.481-0.863)。根据术前因素,计算器成功地识别出大多数有并发症的患者,除返回手术室外,所有并发症的“高于平均风险”。讨论:NSQIP先前已被证明是评估结直肠手术术后并发症风险的有用术前工具。这项研究表明,在妇科手术的设置中,计算器没有足够的判别能力作为所有并发症的绝对预测器,然而,它可能有助于识别可能发生严重并发症的患者和并发症风险高于平均水平的患者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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