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Comparison of National Surgical Quality Improvement Program Surgical Risk Calculator, Trauma and Injury Severity Score, and American Society of Anesthesiologists Physical Status to predict operative trauma mortality in elderly patients

  • Stephen Stopenski
  • , Catherine M. Kuza
  • , Xi Luo
  • , Babatunde Ogunnaike
  • , M. Iqbal Ahmed
  • , Emily Melikman
  • , Tiffany Moon
  • , Thomas Shoultz
  • , Anne Feeler
  • , Roman Dudaryk
  • , Jose Navas
  • , Georgia Vasileiou
  • , D. Dante Yeh
  • , Kazuhide Matsushima
  • , Matthew Forestiere
  • , Tiffany Lian
  • , Oscar Hernandez
  • , Joni Ricks-Oddie
  • , Viktor Gabriel
  • , Jeffry Nahmias
  • Division of Trauma
  • University of California at Irvine
  • University of Southern California
  • Division of Burns
  • University of Texas Southwestern
  • Department of Surgery
  • University of Miami
  • Institute for Clinical and Translation Sciences
  • Center for Statistical Consulting
  • University of California, Irvine

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

BACKGROUND The Trauma and Injury Severity Score (TRISS) uses anatomical and physiologic variables to predict mortality. Elderly (65 years or older) trauma patients have increased mortality and morbidity for a given TRISS, in part because of functional status and comorbidities. These factors are incorporated into the American Society of Anesthesiologists Physical Status (ASA-PS) and National Surgical Quality Improvement Program Surgical Risk Calculator (NSQIP-SRC). We hypothesized scoring tools using comorbidities and functional status to be superior at predicting mortality, hospital length of stay (LOS), and complications in elderly trauma patients undergoing operation. METHODS Four level I trauma centers prospectively collected data on elderly trauma patients undergoing surgery within 24 hours of admission. Using logistic regression, five scoring models were compared: ASA-PS, NSQIP-SRC, TRISS, TRISS-ASA-PS, and TRISS-NSQIP-SRC. Brier scores and area under the receiver operator characteristics curve were calculated to compare mortality prediction. Adjusted R2 and root mean squared error were used to compare LOS and predictive ability for number of complications. RESULTS From 122 subjects, 9 (7.4%) died, and the average LOS was 12.9 days (range, 1-110 days). National Surgical Quality Improvement Program Surgical Risk Calculator was superior to ASA-PS and TRISS at predicting mortality (area under the receiver operator characteristics curve, 0.978 vs. 0.768 vs. 0.903; p = 0.007). Furthermore, NSQIP-SRC was more accurate predicting LOS (R2, 25.9% vs. 13.3% vs. 20.5%) and complications (R2, 34.0% vs. 22.6% vs. 29.4%) compared with TRISS and ASA-PS. Adding TRISS to NSQIP-SRC improved predictive ability compared with NSQIP-SRC alone for complications (R2, 35.5% vs. 34.0%; p = 0.046). However, adding ASA-PS or TRISS to NSQIP-SRC did not improve the predictive ability for mortality or LOS. CONCLUSION The NSQIP-SRC, which includes comorbidities and functional status, had superior ability to predict mortality, LOS, and complications compared with TRISS alone in elderly trauma patients undergoing surgery.

Original languageEnglish
Pages (from-to)481-488
Number of pages8
JournalJournal of Trauma and Acute Care Surgery
Volume92
Issue number3
DOIs
StatePublished - 01 Mar 2022

Keywords

  • Elderly trauma
  • NSQIP Surgical Risk Calculator
  • TRISS
  • operative mortality

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