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A Prospective Multicenter Comparison of Trauma and Injury Severity Score, American Society of Anesthesiologists Physical Status, and National Surgical Quality Improvement Program Calculator's Ability to Predict Operative Trauma Outcomes.
Yeates, Eric Owen; Nahmias, Jeffry; Gabriel, Viktor; Luo, Xi; Ogunnaike, Babatunde; Ahmed, M Iqbal; Melikman, Emily; Moon, Tiffany; Shoultz, Thomas; Feeler, Anne; Dudaryk, Roman; Navas-Blanco, Jose; Vasileiou, Georgia; Yeh, D Dante; Matsushima, Kazuhide; Forestiere, Matthew; Lian, Tiffany; Dominguez, Oscar Hernandez; Ricks-Oddie, Joni Ladawn; Kuza, Catherine M.
Affiliation
  • Yeates EO; From the Division of Trauma, Burns and Surgical Critical Care, Department of Surgery, University of California, Irvine, Orange, California.
  • Nahmias J; From the Division of Trauma, Burns and Surgical Critical Care, Department of Surgery, University of California, Irvine, Orange, California.
  • Gabriel V; From the Division of Trauma, Burns and Surgical Critical Care, Department of Surgery, University of California, Irvine, Orange, California.
  • Luo X; Department of Anesthesiology, University of Texas Southwestern, Dallas, Texas.
  • Ogunnaike B; Department of Anesthesiology, University of Texas Southwestern, Dallas, Texas.
  • Ahmed MI; Department of Anesthesiology, University of Texas Southwestern, Dallas, Texas.
  • Melikman E; Department of Anesthesiology, University of Texas Southwestern, Dallas, Texas.
  • Moon T; Department of Anesthesiology, University of Texas Southwestern, Dallas, Texas.
  • Shoultz T; Division of Burns, Trauma and Critical Care, Department of Surgery, University of Texas Southwestern, Dallas, Texas.
  • Feeler A; Division of Burns, Trauma and Critical Care, Department of Surgery, University of Texas Southwestern, Dallas, Texas.
  • Dudaryk R; Department of Anesthesiology and Pain Management, University of Miami, Miami, Florida.
  • Navas-Blanco J; Department of Anesthesiology and Pain Management, University of Miami, Miami, Florida.
  • Vasileiou G; Department of Surgery, University of Miami, Miami, Florida.
  • Yeh DD; Department of Surgery, University of Miami, Miami, Florida.
  • Matsushima K; Department of Surgery, University of Southern California, Los Angeles, California.
  • Forestiere M; Department of Surgery, University of Southern California, Los Angeles, California.
  • Lian T; Department of Surgery, University of Southern California, Los Angeles, California.
  • Dominguez OH; From the Division of Trauma, Burns and Surgical Critical Care, Department of Surgery, University of California, Irvine, Orange, California.
  • Ricks-Oddie JL; Department of General Surgery, Cleveland Clinic, Digestive Disease and Surgery Institute, Cleveland, Ohio.
  • Kuza CM; Center for Statistical Counseling, University of California, Irvine, Irvine, California.
Anesth Analg ; 2023 Dec 08.
Article in En | MEDLINE | ID: mdl-38091502
ABSTRACT

BACKGROUND:

Trauma outcome prediction models have traditionally relied upon patient injury and physiologic data (eg, Trauma and Injury Severity Score [TRISS]) without accounting for comorbidities. We sought to prospectively evaluate the role of the American Society of Anesthesiologists physical status (ASA-PS) score and the National Surgical Quality Improvement Program Surgical Risk-Calculator (NSQIP-SRC), which are measurements of comorbidities, in the prediction of trauma outcomes, hypothesizing that they will improve the predictive ability for mortality, hospital length of stay (LOS), and complications compared to TRISS alone in trauma patients undergoing surgery within 24 hours.

METHODS:

A prospective, observational multicenter study (9/2018-2/2020) of trauma patients ≥18 years undergoing operation within 24 hours of admission was performed. Multiple logistic regression was used to create models predicting mortality utilizing the variables within TRISS, ASA-PS, and NSQIP-SRC, respectively. Linear regression was used to create models predicting LOS and negative binomial regression to create models predicting complications.

RESULTS:

From 4 level I trauma centers, 1213 patients were included. The Brier Score for each model predicting mortality was found to improve accuracy in the following order 0.0370 for ASA-PS, 0.0355 for NSQIP-SRC, 0.0301 for TRISS, 0.0291 for TRISS+ASA-PS, and 0.0234 for TRISS+NSQIP-SRC. However, when comparing TRISS alone to TRISS+ASA-PS (P = .082) and TRISS+NSQIP-SRC (P = .394), there was no significant improvement in mortality prediction. NSQIP-SRC more accurately predicted both LOS and complications compared to TRISS and ASA-PS.

CONCLUSIONS:

TRISS predicts mortality better than ASA-PS and NSQIP-SRC in trauma patients undergoing surgery within 24 hours. The TRISS mortality predictive ability is not improved when combined with ASA-PS or NSQIP-SRC. However, NSQIP-SRC was the most accurate predictor of LOS and complications.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Anesth Analg Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Anesth Analg Year: 2023 Document type: Article