Journal of Clinical Medicine, 2021 Introduction: Big data-based artificial intelligence (AI) has become increasingly important in medicine and may be helpful in the future to predict diseases and outcomes.
C. Niggli +3 more
semanticscholar +1 more source
Scientific Reports, 2021 Abbreviated Injury Scale (AIS)-based systems such as injury severity score (ISS), exponential injury severity score (EISS), trauma mortality prediction model (TMPM), and injury mortality prediction (IMP), classify anatomical injuries with limited ...
Muding Wang +5 more
doaj +1 more source
Inclusion of lactate level measured upon emergency room arrival in trauma outcome prediction models improves mortality prediction: a retrospective, single-center study [PDF]
Acute and Critical Care, 2020 Background This study aimed to develop a model for predicting trauma outcomes by adding arterial lactate levels measured upon emergency room (ER) arrival to existing trauma injury severity scoring systems. Methods We examined blunt trauma cases that were
Jonghwan Moon +3 more
doaj +1 more source
The use of fibrinogen concentrate for the management of trauma-related bleeding. A systematic review and meta-analysis [PDF]
, 2017 Haemorrhage following injury is associated with significant morbidity and mortality. The role of fibrinogen concentrate in trauma-induced coagulopathy has been the object of intense research in the last 10 years and has been systematically analysed in ...
Franchini, Massimo +6 more
core +1 more source
Monitoring progress in major trauma care using TRISS. [PDF]
Archives of Emergency Medicine, 1990 We report on the outcome of major trauma patients brought to the Kent and Canterbury Hospital in 1989 and compare it with 1987. There is an improvement which followed changes in the management of serious injuries.
C, Maimaris, S C, Brooks
openaire +2 more sources
TRISS: Does It Get Better than This?
Academic Emergency Medicine, 2004 The Trauma and Injury Severity Scoring (TRISS) system was developed in the 1980s to improve the prediction of patient outcomes following trauma through the use of physiological and anatomical criteria. The TRISS is used for a number of purposes, including quantifying the severity of injury of a patient population, calculating the probability of ...
Belinda J, Gabbe +2 more
openaire +5 more sources
Trauma Early Mortality Prediction Tool (TEMPT) for assessing 28-day mortality. [PDF]
, 2018 Background:Prior mortality prediction models have incorporated severity of anatomic injury quantified by Abbreviated Injury Severity Score (AIS). Using a prospective cohort, a new score independent of AIS was developed using clinical and laboratory ...
Callcut, Rachael A +3 more
core +1 more source
Desempenho dos ajustes do Trauma and Injury Severity Score (TRISS): revisão integrativa
Revista da Escola de Enfermagem da USP, 2015 RESUMO Objetivo identificar estudos que realizaram ajustes na equação do Trauma and InjurySeverity Score (TRISS) e compararam a capacidade discriminatória da equação modificada com a original.
Cristiane de Alencar Domingues +3 more
doaj +1 more source
Lives Saved by Helicopter Emergency Medical Services: An Overview of Literature [PDF]
, 2009 Introduction: The objective of this review is to give an overview of literature on the survival benefits of Helicopter Emergency Medical Services (HEMS). The included studies were assessed by study design and statistical methodology.
Lieshout, E.M.M. (Esther) van +5 more
core +3 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 +8 more
doaj +1 more source