Literature DB >> 10744293

Characteristics and outcome of injured patients treated in urban trauma centers in Iran.

M Moini1, H Rezaishiraz, M R Zafarghandi.   

Abstract

BACKGROUND: Because of the need to improve the quality of care of trauma patients in our country, we decided to evaluate the epidemiology and find the most powerful tool for prediction of survival. The Trauma and Injury Severity Score (TRISS) has been known as conventional method for this purpose. We planned to test its ability for prediction of survival of our trauma patients, and also we wanted to compare its ability with the New Injury Severity Score (NISS) in combination with Revised Trauma Score (RTS) and age. We used the most suitable model to evaluate the trauma care in our centers.
METHODS: From the Tehran University data registry on trauma patients of three different hospitals during 1 year, we selected trauma patients admitted to hospital for at least 1 day and all those patients who were declared dead at the emergency department. Epidemiologic description of patients has been given and evaluation of TRISS and (NISS + RTS + age) for prediction of survival has been performed. We determined factors affecting mortality and morbidity, evaluated hospitals, and analyzed patients admitted directly and the patients transferred from other hospitals.
RESULTS: A total of 2,662 patients had complete data necessary for the calculation of probability of survival based on the TRISS method. The population at risk for trauma was the young, especially students and industrial workers. The major mechanisms of trauma were road traffic crashes and falls. The time expenditure and means of transportation as well as the time of stay in emergency department all seemed to be far less than optimal. We found that TRISS has higher performance than (NISS + RTS + age).
CONCLUSION: Based on our descriptive findings, we proposed some suggestions that seem to be necessary for improvement of trauma care in our centers. Among them were improved measures for prehospital service, and emergency department and other health care units of our centers. The findings of this study suggest that conducting trauma surgery training programs and direct transportation to trauma centers can improve the outcome of trauma patients. We conclude that small sample size, mixing penetrating trauma cases with blunt trauma cases, and differences in the mechanism of trauma between study populations may be responsible for the difference between our results and others.

Entities:  

Mesh:

Year:  2000        PMID: 10744293     DOI: 10.1097/00005373-200003000-00023

Source DB:  PubMed          Journal:  J Trauma        ISSN: 0022-5282


  26 in total

1.  Pre-hospital care of the injured in South Western Nigeria: a hospital based study of four tertiary level hospitals in three states.

Authors:  K S Oluwadiya; A O Olakulehin; S A Olatoke; I K Kolawole; B A Solagberu; A A Olasinde; E O K Komolafe
Journal:  Annu Proc Assoc Adv Automot Med       Date:  2005

2.  Childhood falls: characteristics, outcome, and comparison of the Injury Severity Score and New Injury Severity Score.

Authors:  M Bulut; O Koksal; A Korkmaz; M Turan; H Ozguc
Journal:  Emerg Med J       Date:  2006-07       Impact factor: 2.740

3.  The Buffering analysis to identify common geographical factors within the vicinity of severe injury related to motor vehicle crash in Malaysia.

Authors:  Nik Hisamuddin Rahman; Ruslan Rainis; Syed Hatim Noor; Sharifah Mastura Syed Mohamad
Journal:  World J Emerg Med       Date:  2016

4.  New Injury Severity Score is a better predictor of mortality for blunt trauma patients than the Injury Severity Score.

Authors:  Hani O Eid; Fikri M Abu-Zidan
Journal:  World J Surg       Date:  2015-01       Impact factor: 3.352

5.  The usefulness of trauma scores in determining the life threatening condition of trauma victims for writing medical-legal reports.

Authors:  N G Bilgin; E Mert; H Camdeviren
Journal:  Emerg Med J       Date:  2005-11       Impact factor: 2.740

6.  Citywide trauma experience in Kampala, Uganda: a call for intervention.

Authors:  O C Kobusingye; D Guwatudde; G Owor; R R Lett
Journal:  Inj Prev       Date:  2002-06       Impact factor: 2.399

7.  Chronic subdural hematoma outcome prediction using logistic regression and an artificial neural network.

Authors:  Mehdi Abouzari; Armin Rashidi; Mehdi Zandi-Toghani; Mehrdad Behzadi; Marjan Asadollahi
Journal:  Neurosurg Rev       Date:  2009-08-04       Impact factor: 3.042

8.  Evaluation of Quality of Trauma Care in a Local Hospital Using a Customization of ASCOT.

Authors:  Majid Moini; Hamed Rezaishiraz; Alireza Zarineh; Mohammad R Rasouli
Journal:  Eur J Trauma Emerg Surg       Date:  2008-03-18       Impact factor: 3.693

9.  Epidemiology and Outcome Determinants of Pedestrian Injuries in a Level I Trauma Center in Southern Iran; A Cross-Sectional Study.

Authors:  Haleh Ghaem; Maryam Soltani; Mahnaz Yadollahi; Tanaz ValadBeigi; Atousa Fakherpour
Journal:  Bull Emerg Trauma       Date:  2017-10

10.  Epidemiology and Pattern of Traumatic Brain Injury in a Developing Country Regional Trauma Center.

Authors:  Mohamadreza Saatian; Jamal Ahmadpoor; Younes Mohammadi; Ehsan Mazloumi
Journal:  Bull Emerg Trauma       Date:  2018-01
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