Results 31 to 40 of about 2,069 (206)

TRISS methodology in trauma: the need for alternatives

Journal of British Surgery, 1998
Abstract Background Trauma and Injury Severity Score (TRISS) methodology has become a standard tool for evaluating the performance of trauma centres and identifying cases for critical review. Recent work has identified several limitations and questioned the validity of the methodology in certain types
D, Demetriades, L S, Chan, G, Velmahos, T V, Berne, E E, Cornwell, H, Belzberg, J A, Asensio, J, Murray, J, Berne, W, Shoemaker   +9 more
openaire   +2 more sources

The Best Prediction Model for Trauma Outcomes of the Current Korean Population: a Comparative Study of Three Injury Severity Scoring Systems [PDF]

Korean Journal of Critical Care Medicine, 2016
Background: Injury severity scoring systems that quantify and predict trauma outcomes have not been established in Korea. This study was designed to determine the best system for use in the Korean trauma population. Methods: We collected and analyzed the
Kyoungwon Jung, John Cook-Jong Lee, Rae Woong Park, Dukyong Yoon, Sungjae Jung, Younghwan Kim, Jonghwan Moon, Yo Huh, Junsik Kwon   +8 more
doaj   +1 more source

Acute Physiology and Chronic Health Evaluation (APACHE) III Score Compared to Trauma-Injury Severity Score (TRISS) in Predicting Mortality of Trauma Patients

Archives of Academic Emergency Medicine, 2015
Introduction: More than 50 scoring systems have been published for classification of trauma patients in the field, emergency room, and intensive care settings, so far. The present study aimed to compare the ability of trauma injury severity score (TRISS)
Parvin Darbandsar Mazandarani, Kamran Heydari, Hamidreza Hatamabadi, Parvin Kashani, Yasin Jamali Danesh   +4 more
doaj   +1 more source

ICD-10 based machine learning models outperform the Trauma and Injury Severity Score (TRISS) in survival prediction.

PLoS ONE, 2022
BackgroundPrecise models are necessary to estimate mortality risk following traumatic injury to inform clinical decision making or quantify hospital performance.
Zachary Tran, Arjun Verma, Taylor Wurdeman, Sigrid Burruss, Kaushik Mukherjee, Peyman Benharash   +5 more
doaj   +1 more source

Confusion matrices of XGBoost and TRISS models demonstrating results from testing data.

, 2022
Confusion matrices of XGBoost and TRISS models demonstrating results from testing data.
Arjun Verma (5095133), Taylor Wurdeman (9596596), Sigrid Burruss (12762168), Zachary Tran (1700671), Kaushik Mukherjee (4907140), Peyman Benharash (2837768)   +5 more
core   +1 more source

The role of the New Trauma and Injury Severity Score (NTRISS) for survival prediction

Revista da Escola de Enfermagem da USP, 2011
The objective of this study was to verify if replacing the Injury Severity Score (ISS) by the New Injury Severity Score (NISS) in the original Trauma and Injury Severity Score (TRISS) form would improve the survival rate estimation.
Cristiane de Alencar Domingues, Regina Marcia Cardoso de Sousa, Lilia de Souza Nogueira, Renato Sérgio Poggetti, Belchor Fontes, Daniele Muñoz   +5 more
doaj   +1 more source

Initiation of High‐Potency Benzodiazepine Prescriptions Among Survivors of Severe Trauma

Acta Anaesthesiologica Scandinavica, Volume 70, Issue 6, July 2026.
ABSTRACT Background Trauma is a major public health concern that often leads to long‐term psychological distress and chronic pain. Benzodiazepines (BZDs) are sometimes prescribed for anxiety, insomnia, or acute stress‐related symptoms, but long‐term use is associated with dependence and adverse outcomes.
Anders Oldner, Mikael Eriksson, Emma Larsson, Jesper Eriksson, Erik von Oelreich   +4 more
wiley   +1 more source

A) Area under the curve (AUC) and B) precision-recall curves comparing XGBoost and TRISS.

, 2022
A) Area under the curve (AUC) and B) precision-recall curves comparing XGBoost and TRISS.
Arjun Verma (5095133), Taylor Wurdeman (9596596), Sigrid Burruss (12762168), Zachary Tran (1700671), Kaushik Mukherjee (4907140), Peyman Benharash (2837768)   +5 more
core   +1 more source

Guidelines for Essential Trauma Care: Second Edition (2026)

World Journal of Surgery, Volume 50, Issue 6, Page 1409-1450, June 2026.
Injury is a major cause of death and disability globally, with the highest burden in low‐ and middle‐income countries (LMICs). Strengthening the organization and planning for trauma care (care of the injured) can improve care and lower mortality. In 2004, the International Association for Trauma Surgery and Intensive Care (IATSIC) and the World Health ...
Charles Mock, Timothy C. Hardcastle, Christine Gaarder, Amit Gupta, Adam Gyedu, Manjul Joshipura, Elmin Steyn, on behalf of the Essential Trauma Care revision author group, Valencia Adjei, Roger Alcock, Vanda Amado, Michael Boampong, Sanjeev Booi, Petra Brysiewicz, Corazon Cabanilla‐Manuntag, Cristiane de Alencar Domingues, Ghada Elhadari, Ranjith Nanda Ellawala, Sarnai Erdene, Ama Akoma Essuman, Jorge Esteban Foianini, Filippo Gatti, Armando Garcia Guererra, Greg Hynes, Adil Haider, Sandy Ingless, Balavenkata Jagannathan, Helen Jowett, Knut Magne Kolstadbråten, Sonja Krofak, Aireen Patricia Madrid, Tina Tomić Mahečić, Claude Martin, Daniel Ntogwrachu, Bisola Onajin‐Obembe, Nhobojit Roy, Andres Rubiano, Niisoja Mensah Torto, Ben Wachira, Meg Walmsley, Torben Wisborg, Elma Wong   +41 more
wiley   +1 more source

Assessing the prognostic utility of the De Ritis ratio in mortality prediction models for trauma intensive care unit patients

Hong Kong Journal of Emergency Medicine, Volume 33, Issue 1, February 2026.
Abstract Background The De Ritis ratio (aspartate aminotransferase/alanine aminotransferase, AST/ALT) has been reported as a prognostic biomarker in various medical conditions and has been associated with worse outcomes in trauma patients. However, its added prognostic value for trauma intensive care unit (ICU) patients remains unclear.
Cheng‐Shyuan Rau, Ching‐Ya Huang, Kuan‐Hao Liao, Ching‐Hua Tsai, Wei‐Ti Su, Shiun‐Yuan Hsu, Ching‐Hua Hsieh   +6 more
wiley   +1 more source