Department of Urology, Robotic Surgery, Research and Training Center and the Boston Children's Hospital, Boston, MA, USA; Urology Department, College of Medicine, University of São Paulo (FMUSP), São Paulo, Brazil.
J Pediatr Surg. 2013 Oct;48(10):2017-21. doi: 10.1016/j.jpedsurg.2013.04.017.
Within the adult population, there exist numerous validated risk stratification tools aimed at predicting postoperative outcomes using preoperative and intraoperative parameters. However, similar tools for the pediatric population are scarce. We previously developed and reported on a scoring system to predict postoperative complications in children undergoing surgery at Boston Children's Hospital. The objective of this study was to validate our scoring system to determine its effectiveness in identifying children at risk for major complications or death within 30 days following surgery.
A computer program randomly selected 2015 out of 11,734 patients who underwent surgery at our institution in 2009. The severity of the complications was graded based on the Clavien classification system, with major complications being a grade III or higher. The Preoperative Complication Score (PCS) and the Overall Complication Score (OCS) were calculated for all patients, and Receiver Operating Characteristic (ROC) curves were generated for each scoring system.
The overall incidence of major complications was 3.9% (79 patients). Proportionally, cardiac surgery had the highest percentage of major complications (20% of the performed surgeries). Both PCS and OCS demonstrated excellent correlation with postoperative outcomes with c-statistic values of 0.740 (CI 0.682-0.800, p < 0.001) and 0.767 (CI 0.712-0.822, p < 0.001) respectively.
We determined that both the PCS and OCS are effective in identifying children at risk for major complications and death following surgery. Further studies will be needed to determine if these scoring systems are applicable to children undergoing surgery at other institutions and if the use of the scoring systems would result in improved clinical outcomes and reduced costs.
在成年人群体中,有许多经过验证的风险分层工具,旨在使用术前和术中参数预测术后结果。然而,针对儿科人群的类似工具却很少。我们之前开发并报告了一种评分系统,用于预测在波士顿儿童医院接受手术的儿童的术后并发症。本研究的目的是验证我们的评分系统,以确定其在识别术后 30 天内有发生重大并发症或死亡风险的儿童方面的有效性。
计算机程序从我们机构 2009 年进行的 11734 例手术中随机选择了 2015 例。根据 Clavien 分类系统对并发症的严重程度进行分级,其中重大并发症为 III 级或更高级别。为所有患者计算了术前并发症评分(PCS)和总体并发症评分(OCS),并为每个评分系统生成了接收者操作特征(ROC)曲线。
总体重大并发症发生率为 3.9%(79 例)。心脏手术的重大并发症比例最高(占所行手术的 20%)。PCS 和 OCS 均与术后结果具有极好的相关性,其 C 统计值分别为 0.740(95%CI 0.682-0.800,p<0.001)和 0.767(95%CI 0.712-0.822,p<0.001)。
我们确定 PCS 和 OCS 均能有效识别手术后发生重大并发症和死亡的风险。需要进一步的研究来确定这些评分系统是否适用于在其他机构接受手术的儿童,以及使用评分系统是否会改善临床结果并降低成本。