Development of a web application for the Surgical Risk Preoperative Assessment System (SURPAS)

IF 2.7 3区医学 Q1 SURGERY

American journal of surgery Pub Date : 2025-09-29 DOI:10.1016/j.amjsurg.2025.116645

Haaris Kadri , Kathryn L. Colborn , James Winslow , Adam R. Dyas , William G. Henderson , Michael R. Bronsert , Yaxu Zhuang , Yizhou Fei , Helen J. Madsen , Anne Lambert-Kerzner , Benjamin S. Brooke , Robert A. Meguid

{"title":"Development of a web application for the Surgical Risk Preoperative Assessment System (SURPAS)","authors":"Haaris Kadri , Kathryn L. Colborn , James Winslow , Adam R. Dyas , William G. Henderson , Michael R. Bronsert , Yaxu Zhuang , Yizhou Fei , Helen J. Madsen , Anne Lambert-Kerzner , Benjamin S. Brooke , Robert A. Meguid","doi":"10.1016/j.amjsurg.2025.116645","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>The Surgical Risk Preoperative Assessment System (SURPAS) is a parsimonious surgical risk calculator using 7 preoperative variables to predict 15 postoperative complications for >3000 operations across 10 surgical specialties. Currently only available at our local healthcare system (UCHealth), this study reports on the development of a publicly-available SURPAS web application.</div></div><div><h3>Materials and methods</h3><div>The SURPAS web application was developed as an R Shiny App. Current SURPAS usage within UCHealth, 2017–2023, including patient characteristics and risk profiles, are provided with descriptive statistics.</div></div><div><h3>Results</h3><div>SURPAS was used locally for 24,431 operations; increasing from usage in 0.5 % of operations in 2017 to 10.0 % in 2023. It has been used in ten surgical specialties for mostly inpatient and non-emergent procedures. Usage has increased in all specialties. Average 30-day mortality and overall morbidity risks were 1.6 % and 13.8 %, respectively.</div></div><div><h3>Conclusions</h3><div>Dissemination of the SURPAS web app could increase SURPAS usage inside and outside of UCHealth, augmenting communication of complication risks.</div></div>","PeriodicalId":7771,"journal":{"name":"American journal of surgery","volume":"250 ","pages":"Article 116645"},"PeriodicalIF":2.7000,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American journal of surgery","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0002961025004684","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SURGERY","Score":null,"Total":0}

引用次数: 0

Abstract

Background

The Surgical Risk Preoperative Assessment System (SURPAS) is a parsimonious surgical risk calculator using 7 preoperative variables to predict 15 postoperative complications for >3000 operations across 10 surgical specialties. Currently only available at our local healthcare system (UCHealth), this study reports on the development of a publicly-available SURPAS web application.

Materials and methods

The SURPAS web application was developed as an R Shiny App. Current SURPAS usage within UCHealth, 2017–2023, including patient characteristics and risk profiles, are provided with descriptive statistics.

Results

SURPAS was used locally for 24,431 operations; increasing from usage in 0.5 % of operations in 2017 to 10.0 % in 2023. It has been used in ten surgical specialties for mostly inpatient and non-emergent procedures. Usage has increased in all specialties. Average 30-day mortality and overall morbidity risks were 1.6 % and 13.8 %, respectively.

Conclusions

Dissemination of the SURPAS web app could increase SURPAS usage inside and outside of UCHealth, augmenting communication of complication risks.

Abstract Image

查看原文本刊更多论文

为手术风险术前评估系统（SURPAS）开发一个网络应用程序。

背景：手术风险术前评估系统（SURPAS）是一个简约的手术风险计算器，使用7个术前变量预测10个外科专科的bbbb3000例手术的15个术后并发症。目前仅在我们当地的医疗保健系统（UCHealth）中可用，本研究报告了一个公开可用的SURPAS web应用程序的开发。材料和方法：SURPAS web应用程序是作为R Shiny App开发的。uhealth2017 -2023年SURPAS的当前使用情况，包括患者特征和风险概况，提供描述性统计。结果：SURPAS局部应用24431例；从2017年的0.5%增加到2023年的10.0%。它已在十个外科专科用于大多数住院和非紧急程序。所有专业的使用都增加了。平均30天死亡率和总发病率风险分别为1.6%和13.8%。结论：SURPAS网络应用程序的传播可以增加SURPAS在uhealth内外的使用，增加并发症风险的沟通。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

American journal of surgery 医学-外科

CiteScore

5.00

自引率

6.70%

发文量

570

审稿时长

56 days

期刊介绍： The American Journal of Surgery® is a peer-reviewed journal designed for the general surgeon who performs abdominal, cancer, vascular, head and neck, breast, colorectal, and other forms of surgery. AJS is the official journal of 7 major surgical societies* and publishes their official papers as well as independently submitted clinical studies, editorials, reviews, brief reports, correspondence and book reviews.