Comparison of National Surgical Quality Improvement Program Surgical Risk Calculator and Trauma and Injury Severity Score Risk Assessment Tools in Predicting Outcomes in High-Risk Operative Trauma Patients.

National Surgical Quality Improvement Program Surgical Risk Calculator Trauma and Injury Severity Score complications high-risk length of stay mortality

Journal

The American surgeon
ISSN: 1555-9823
Titre abrégé: Am Surg
Pays: United States
ID NLM: 0370522

Informations de publication

Date de publication:
Oct 2023
Historique:
medline: 17 11 2023
pubmed: 13 5 2023
entrez: 12 5 2023
Statut: ppublish

Résumé

The Trauma and Injury Severity Score (TRISS) uses anatomic/physiologic variables to predict outcomes. The National Surgical Quality Improvement Program Surgical Risk Calculator (NSQIP-SRC) includes functional status and comorbidities. It is unclear which of these tools is superior for high-risk trauma patients (American Society of Anesthesiologists Physical Status (ASA-PS) class IV or V). This study compares risk prediction of TRISS and NSQIP-SRC for mortality, length of stay (LOS), and complications for high-risk operative trauma patients. This is a prospective study of high-risk (ASA-PS IV or V) trauma patients (≥18 years-old) undergoing surgery at 4 trauma centers. We compared TRISS vs NSQIP-SRC vs NSQIP-SRC + TRISS for ability to predict mortality, LOS, and complications using linear, logistic, and negative binomial regression. Of 284 patients, 48 (16.9%) died. The median LOS was 16 days and number of complications was 1. TRISS + NSQIP-SRC best predicted mortality (AUROC: .877 vs .723 vs .843, For high-risk operative trauma patients, TRISS + NSQIP-SRC performed better at predicting mortality and number of complications compared to NSQIP-SRC or TRISS alone but similar to NSQIP-SRC alone for LOS. Thus, future risk prediction and comparisons across trauma centers for high-risk operative trauma patients should include a combination of anatomic/physiologic data, comorbidities, and functional status.

Sections du résumé

BACKGROUND BACKGROUND
The Trauma and Injury Severity Score (TRISS) uses anatomic/physiologic variables to predict outcomes. The National Surgical Quality Improvement Program Surgical Risk Calculator (NSQIP-SRC) includes functional status and comorbidities. It is unclear which of these tools is superior for high-risk trauma patients (American Society of Anesthesiologists Physical Status (ASA-PS) class IV or V). This study compares risk prediction of TRISS and NSQIP-SRC for mortality, length of stay (LOS), and complications for high-risk operative trauma patients.
METHODS METHODS
This is a prospective study of high-risk (ASA-PS IV or V) trauma patients (≥18 years-old) undergoing surgery at 4 trauma centers. We compared TRISS vs NSQIP-SRC vs NSQIP-SRC + TRISS for ability to predict mortality, LOS, and complications using linear, logistic, and negative binomial regression.
RESULTS RESULTS
Of 284 patients, 48 (16.9%) died. The median LOS was 16 days and number of complications was 1. TRISS + NSQIP-SRC best predicted mortality (AUROC: .877 vs .723 vs .843,
DISCUSSION CONCLUSIONS
For high-risk operative trauma patients, TRISS + NSQIP-SRC performed better at predicting mortality and number of complications compared to NSQIP-SRC or TRISS alone but similar to NSQIP-SRC alone for LOS. Thus, future risk prediction and comparisons across trauma centers for high-risk operative trauma patients should include a combination of anatomic/physiologic data, comorbidities, and functional status.

Identifiants

pubmed: 37173283
doi: 10.1177/00031348231175488
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

4038-4044

Déclaration de conflit d'intérêts

Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Auteurs

Jeffrey Santos (J)

Division of Trauma, Burns, Critical Care & Acute Care Surgery, Department of Surgery, University of California, Irvine, Orange, CA, USA.

Catherine M Kuza (CM)

Department of Anesthesiology, University of Southern California, Los Angeles, CA, USA.

Xi Luo (X)

Department of Anesthesiology, University of Texas Southwestern, Dallas, TX, USA.

Babatunde Ogunnaike (B)

Department of Anesthesiology, University of Texas Southwestern, Dallas, TX, USA.

M Iqbal Ahmed (MI)

Department of Anesthesiology, University of Texas Southwestern, Dallas, TX, USA.

Emily Melikman (E)

Department of Anesthesiology, University of Texas Southwestern, Dallas, TX, USA.

Tiffany Moon (T)

Department of Anesthesiology, University of Texas Southwestern, Dallas, TX, USA.

Thomas Shoultz (T)

Division of Burns, Trauma and Critical Care, University of Texas Southwestern, Dallas, TX, USA.

Anne Feeler (A)

Division of Burns, Trauma and Critical Care, University of Texas Southwestern, Dallas, TX, USA.

Roman Dudaryk (R)

Department of Anesthesiology and Pain Management, University of Miami, Miami, FL, USA.

Jose Navas (J)

Department of Anesthesiology and Pain Management, University of Miami, Miami, FL, USA.

Georgia Vasileiou (G)

Department of Surgery, University of Miami, Miami, FL, USA.

D Dante Yeh (DD)

Department of Surgery, University of Miami, Miami, FL, USA.

Kazuhide Matsushima (K)

Department of Surgery, University of Southern California, Los Angeles, CA, USA.

Matthew Forestiere (M)

Department of Surgery, University of Southern California, Los Angeles, CA, USA.

Tiffany Lian (T)

Department of Surgery, University of Southern California, Los Angeles, CA, USA.

Areg Grigorian (A)

Division of Trauma, Burns, Critical Care & Acute Care Surgery, Department of Surgery, University of California, Irvine, Orange, CA, USA.

Joni Ricks-Oddie (J)

Institute for Clinical and Translation Sciences and Center for Statistical Consulting, University of California, Irvine, Orange, CA, USA.

Jeffry Nahmias (J)

Division of Trauma, Burns, Critical Care & Acute Care Surgery, Department of Surgery, University of California, Irvine, Orange, CA, USA.

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