M. Bedi, J. Charlson, D. M. King, Departments of Radiation Oncology, Medical Oncology, and Orthopaedic Surgery, Medical College of Wisconsin, Milwaukee, WI, USA.
C. G. Ethun, Department of Surgery, Winship Cancer Institute, Emory University, Atlanta, GA, USA.
Clin Orthop Relat Res. 2020 Mar;478(3):550-559. doi: 10.1097/CORR.0000000000000959.
Postoperative wound complications are challenging in patients with localized extremity soft-tissue sarcomas. Various factors have been associated with wound complications, but there is no individualized predictive model to allow providers to counsel their patients and thus offer methods to mitigate the risk of complications and implement appropriate measures.
QUESTIONS/PURPOSES: We used data from multiple centers to ask: (1) What risk factors are associated with postoperative wound complications in patients with localized soft-tissue sarcomas of the extremity? (2) Can we create a predictive nomogram that will assess the risk of wound complications in individual patients after resection for soft-tissue sarcoma?
From 2000 to 2016, 1669 patients undergoing limb-salvage resection for a localized primary or recurrent extremity soft-tissue sarcoma with at least 120 days of follow-up at eight participating United States Sarcoma Collaborative institutions were identified. Wound complications included superficial wounds with or without drainage, deep wounds with drainage because of dehiscence, and intentional opening of the wound within 120 days postoperatively. Sixteen variables were selected a priori by clinicians and statisticians as potential risk factors for wound complications. A univariate analysis was performed using Fisher's exact tests for categorical predictors, and Wilcoxon's rank-sum tests were used for continuous predictors. A multiple logistic regression analysis was used to train the prediction model that was used to create the nomogram. The prediction performance of the datasets was evaluated using a receiver operating curve, area under the curve, and calibration plot.
After controlling for potential confounding factors such as comorbidities, functional status, albumin level, and chemotherapy use, we found that increasing age (odds ratio 1.02; 95% confidence interval, 1.00-1.03; p = 0.008), BMI (OR 1.05; 95% CI, 1.02-1.09; p = 0.004), lower-extremity location (OR 6; 95% CI, 2.87-12.69; p < 0.001), and neoadjuvant radiation (OR 2; 95% CI, 1.47-3.16; p < 0.001) were associated with postoperative wound complications (area under the curve 69.2% [range 62.8%-75.6%]).
We found that age, BMI, tumor location, and timing of radiation are associated with the risk of wound complications. Based on these factors, a validated nomogram has been established that can provide an individualized prediction of wound complications in patients with a resected soft-tissue sarcoma of the extremity. This may allow for proactive management with nutrition and surgical techniques, and help determine the delivery of radiation in patients with a high risk of having these complications.
Level III, therapeutic study.
局部肢体软组织肉瘤患者术后伤口并发症是一个挑战。各种因素与伤口并发症有关,但目前尚无个体化的预测模型,无法让提供者为患者提供咨询,从而提供减轻并发症风险和实施适当措施的方法。
问题/目的:我们使用来自多个中心的数据提出以下问题:(1)局部肢体软组织肉瘤患者术后伤口并发症的相关危险因素有哪些?(2)我们能否创建一个预测列线图,以评估软组织肉瘤切除术后患者伤口并发症的风险?
2000 年至 2016 年,在参与美国肉瘤协作的 8 家机构中,对接受肢体挽救性切除的 1669 例局部原发性或复发性肢体软组织肉瘤患者进行了研究,这些患者至少有 120 天的随访。伤口并发症包括有或无引流的浅表伤口、因裂开而有引流的深部伤口以及术后 120 天内故意打开的伤口。临床医生和统计学家通过预先选择了 16 个变量作为伤口并发症的潜在危险因素。使用 Fisher 确切检验对分类预测因子进行单变量分析,Wilcoxon 秩和检验用于连续预测因子。使用多元逻辑回归分析训练预测模型,然后使用该模型创建列线图。使用接收器工作曲线、曲线下面积和校准图评估数据集的预测性能。
在控制合并症、功能状态、白蛋白水平和化疗使用等潜在混杂因素后,我们发现年龄增长(优势比 1.02;95%置信区间,1.00-1.03;p = 0.008)、BMI(比值比 1.05;95%置信区间,1.02-1.09;p = 0.004)、下肢位置(比值比 6;95%置信区间,2.87-12.69;p < 0.001)和新辅助放疗(比值比 2;95%置信区间,1.47-3.16;p < 0.001)与术后伤口并发症有关(曲线下面积 69.2%[范围 62.8%-75.6%])。
我们发现年龄、BMI、肿瘤位置和放疗时间与伤口并发症的风险相关。基于这些因素,我们建立了一个经过验证的列线图,可以对接受肢体软组织肉瘤切除术的患者的伤口并发症风险进行个体化预测。这可能允许通过营养和手术技术进行主动管理,并有助于确定具有这些并发症高风险患者的放疗。
III 级,治疗研究。