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