Comparing NEWS2, TRISS, and RTS in predicting mortality rate in trauma patients based on prehospital data set: a diagnostic study

In the recent years, National Early Warning Score2 (NEWS2) is utilized to predict early on, the worsening of clinical status in patients. To this date the predictive accuracy of National Early Warning Score (NEWS2), Revised Trauma Score (RTS), and Trauma and injury severity score (TRISS) regarding t...

Full description

Saved in:
Bibliographic Details
Published in:BMC emergency medicine 2024-09, Vol.24 (1), p.163-10, Article 163
Main Authors: Yousefi, Mohammad Reza, Karajizadeh, Mehrdad, Ghasemian, Mehdi, Paydar, Shahram
Format: Article
Language:English
Subjects:
Accuracy
Adult
Aged
Blood pressure
Coma
Comparative analysis
Cross-Sectional Studies
Datasets
Early Warning Score
Emergency medical care
Emergency Medical Services
Female
Health aspects
Heart rate
Hospital Mortality
Hospitalization
Hospitals
Humans
Injuries
Injury Severity Score
Iran - epidemiology
Male
Medical diagnosis
Medical prognosis
Medical research
Medicine, Experimental
Middle Aged
Morbidity
Mortality
Mortality rate
Patients
Prehospital vital signs
Prognosis
Retrospective Studies
Scoring system
Trauma
Trauma centers
Trauma Severity Indices
Variables
Vital signs
Wounds and Injuries - diagnosis
Wounds and Injuries - mortality
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In the recent years, National Early Warning Score2 (NEWS2) is utilized to predict early on, the worsening of clinical status in patients. To this date the predictive accuracy of National Early Warning Score (NEWS2), Revised Trauma Score (RTS), and Trauma and injury severity score (TRISS) regarding the trauma patients' mortality rate have not been compared. Therefore, the objective of this study is comparing NEWS2, TRISS, and RTS in predicting mortality rate in trauma patients based on prehospital data set. This cross-sectional retrospective diagnostic study performed on 6905 trauma patients, of which 4191 were found eligible, referred to the largest trauma center in southern Iran, Shiraz, during 2022-2023 based on their prehospital data set in order to compare the prognostic power of NEWS2, RTS, and TRISS in predicting in-hospital mortality rate. Patients are divided into deceased and survived groups. Demographic data, vital signs, and GCS were obtained from the patients and scoring systems were calculated and compared between the two groups. TRISS and ISS are calculated with in-hospital data set; others are based on prehospital data set. A total of 129 patients have deceased. Age, cause of injury, length of hospital stay, SBP, RR, HR, temperature, SpO2, and GCS were associated with mortality (p-value 
ISSN:1471-227X
1471-227X
DOI:10.1186/s12873-024-01084-w