Scholarlink

Background <p>The National Surgical Quality Improvement Program (NSQIP) American College of Surgeons (ACS) risk calculator is a validated method of predicting postoperative complications that was recently updated to a machine-learning structure. The objective of this study was to measure the accuracy of this calculator in our institution on paraoesophageal hernia (PEH) repair.</p> Method <p>Procedures performed between 2019 and 2023 were retrospectively collected regarding demographics, operative variables, and outcomes with a 30-day follow-up. Thirteen outcomes measured by NSQIP-ACS calculator were measured. Observed and predicted rates were compared by receiver operating curves (ROC) and length of stay was compared by Wilcoxon signed rank test.</p> Results <p>A total of 203 paraoesophageal hernia repairs on patients with a median age of 68 (IQR 61–75) and 70.9% (n = 144) predominantly female. The size of the paraoesophageal hernia (PEH) was large or giant in 59.1% (n = 120) and mesh was placed in 70.4% (n = 143). The predicted risk was consistently higher than observed events on all but discharge destinations. Eight outcomes had no event to measure; however, the calculator accurately predicted a risk of ≤ 1% on all of these. The area under the curve (AUC) was fair (0.6–0.79) on discharge to nursing or rehabilitation facilities and failed in the rest of the measurable outcomes.</p> Conclusion <p>The ACS-NSQIP risk calculator correctly predicted a low occurrence of postoperative outcomes in patients undergoing robotic paraoesophageal hernia repair.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Validation of the ACS-NSQIP surgical risk calculator for patients with paraoesophageal hernias undergoing robotic repair

  • 期刊论文

  • 发表日期：

    2025年6月27日

查看全文
  • Jordan Taylor,
  • Luis Arias-Espinosa,
  • Catherine McGeoch,
  • Vaishali Shah,
  • Ethan Shyu,
  • Niti Shahi,
  • Simon Rodier,
  • Brian Kaplan,
  • Flavio Malcher,
  • Tanuja Damani

摘要

Background

The National Surgical Quality Improvement Program (NSQIP) American College of Surgeons (ACS) risk calculator is a validated method of predicting postoperative complications that was recently updated to a machine-learning structure. The objective of this study was to measure the accuracy of this calculator in our institution on paraoesophageal hernia (PEH) repair.

Method

Procedures performed between 2019 and 2023 were retrospectively collected regarding demographics, operative variables, and outcomes with a 30-day follow-up. Thirteen outcomes measured by NSQIP-ACS calculator were measured. Observed and predicted rates were compared by receiver operating curves (ROC) and length of stay was compared by Wilcoxon signed rank test.

Results

A total of 203 paraoesophageal hernia repairs on patients with a median age of 68 (IQR 61–75) and 70.9% (n = 144) predominantly female. The size of the paraoesophageal hernia (PEH) was large or giant in 59.1% (n = 120) and mesh was placed in 70.4% (n = 143). The predicted risk was consistently higher than observed events on all but discharge destinations. Eight outcomes had no event to measure; however, the calculator accurately predicted a risk of ≤ 1% on all of these. The area under the curve (AUC) was fair (0.6–0.79) on discharge to nursing or rehabilitation facilities and failed in the rest of the measurable outcomes.

Conclusion

The ACS-NSQIP risk calculator correctly predicted a low occurrence of postoperative outcomes in patients undergoing robotic paraoesophageal hernia repair.