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美国外科医师学院:国家外科质量改进计划风险计算器在接受间隔减瘤手术的卵巢癌患者中的预测有效性。

Predictive validity of American College of Surgeons: National Surgical Quality Improvement Project risk calculator in patients with ovarian cancer undergoing interval debulking surgery.

机构信息

Department of Obstetrics and Gynecology, Brigham and Women's Hospital, Boston, Massachusetts, USA

Division of Gynecologic Oncology, Vincent Obstetrics and Gynecology, Massachusetts General Hospital, Boston, Massachusetts, USA.

出版信息

Int J Gynecol Cancer. 2021 Oct;31(10):1356-1362. doi: 10.1136/ijgc-2021-002772. Epub 2021 Sep 13.

Abstract

INTRODUCTION

In gynecologic patients, few studies describe the accuracy of the American College of Surgeons-National Surgical Quality Improvement Project (ACS-NSQIP) pre-operative risk calculator for women undergoing surgery for ovarian cancer.

OBJECTIVE

To determine whether the ACS-NSQIP risk calculator accurately predicts post-operative complications and length of stay in patients undergoing interval debulking surgery for advanced stage epithelial ovarian cancer.

METHODS

For this multi-institutional retrospective cohort study, pre-operative risk factors, post-operative complication rates, and Current Procedural Terminology codes were abstracted from records of patients with ovarian cancer managed with open interval debulking surgery from January 2010 to July 2015. A power calculation was done to estimate the minimum number of complications needed to evaluate the accuracy of the ACS-NSQIP risk calculator. Predicted risk compared with observed risk was calculated using logistic regression. The predictive accuracy of the ACS-NSQIP risk calculator in estimating post-operative complications or length of stay was assessed using c-statistics and Briar scores. Complications with a c-statistic of >0.70 and Brier score of <0.01 were considered to have high discriminative ability.

RESULTS

A total of 261 patients underwent interval debulking surgery, encompassing 21 unique Current Procedural Terminology codes. Readmission (n=25), surgical site infection (n=35), urinary tract infection (n=12), and serious post-operative complications (n=57) met the minimum event threshold (n>10). All predicted complication rates fell within the IQR of the observed incidence rates. However, the ACS-NSQIP calculator demonstrated neither discriminative ability nor accuracy for any post-operative complications based on c-statistics and Brier scores. The calculator accurately predicted length of stay within 1 day for only 32% of patients and could not accurately predict which patients were likely to have a prolonged length of stay (c-statistic=0.65).

CONCLUSION

Among patients undergoing interval debulking surgery, the ACS-NSQIP did not accurately discriminate which patients were at increased risk of complications or extended length of stay. The risk calculator should be considered to have limited utility in informing pre-operative counseling or surgical planning.

摘要

简介

在妇科患者中,很少有研究描述美国外科医师学院-国家外科质量改进计划(ACS-NSQIP)术前风险计算器在接受卵巢癌手术的女性中的准确性。

目的

确定 ACS-NSQIP 风险计算器是否能准确预测接受晚期上皮性卵巢癌间隔减瘤术的患者的术后并发症和住院时间。

方法

在这项多机构回顾性队列研究中,从 2010 年 1 月至 2015 年 7 月接受开腹间隔减瘤术治疗的卵巢癌患者的记录中提取了术前危险因素、术后并发症发生率和当前操作术语 (Current Procedural Terminology, CPT) 代码。进行了一项功效计算,以估计评估 ACS-NSQIP 风险计算器准确性所需的最小并发症数量。使用逻辑回归计算预测风险与观察风险的比值。使用 C 统计量和 Briar 评分评估 ACS-NSQIP 风险计算器在估计术后并发症或住院时间方面的预测准确性。C 统计量>0.70 和 Briar 评分<0.01 的并发症被认为具有较高的鉴别能力。

结果

共有 261 例患者接受了间隔减瘤术,涵盖了 21 个独特的 CPT 代码。再入院(n=25)、手术部位感染(n=35)、尿路感染(n=12)和严重术后并发症(n=57)达到了最小事件阈值(n>10)。所有预测的并发症发生率都在观察到的发生率的 IQR 范围内。然而,基于 C 统计量和 Briar 评分,ACS-NSQIP 计算器对任何术后并发症均既没有判别能力,也没有准确性。该计算器仅能准确预测 32%的患者的住院时间在 1 天内,并且无法准确预测哪些患者可能需要延长住院时间(C 统计量=0.65)。

结论

在接受间隔减瘤术的患者中,ACS-NSQIP 无法准确区分哪些患者有更高的并发症风险或延长的住院时间。该风险计算器在术前咨询或手术计划方面的作用有限。

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