Correlation of Injury Severity Score with Survival time in Fatal Road Traffic Accidents in Central Indian Population

2020 ◽  
Keyword(s):  
Injury Severity Score ◽  
Survival Time ◽  
Severity Score ◽  
Traffic Accidents ◽  
Indian Population ◽  
Injury Severity ◽  
Road Traffic ◽  
Road Traffic Accidents

In Relation to Morbidity, Mortality, and Hospital Stay, Determine the Predictive Value of Injury Severity Scores in Road Traffic Accidents

2021 ◽  
Vol 15 (11) ◽  
pp. 3414-3416
Author(s):  
Hunain . ◽  
Muhammad Waqas Arshad ◽  
Farah Saleem ◽  
Abdul Sattar ◽  
Khurram Nadeem ◽  
...  
Keyword(s):  
Injury Severity Score ◽  
Hospital Stay ◽  
Predictive Value ◽  
Severity Score ◽  
Urban Areas ◽  
Traffic Accidents ◽  
Injury Severity ◽  
Road Traffic ◽  
Road Traffic Accidents ◽  
Severity Scores

Objective: The purpose of this study is to calculate the predictive value of injury severity score in relation to morbidity; mortality and hospital stay of patients following road traffic accidents. Study Design: Retrospective cohort study Place and Duration: Study was conducted at the department of General Surgery, Saidu Teaching hospital Swat, Jinnah Hospital Lahore and Bakhtawar Amin Memorial Trust Hospital Multan for duration six months from June 2020 to December 2020. Methods: Total eighty patients of both genders were presented in this study. Patients with ages 18-70 years had injury because of road traffic accidents were included. Informed written consent was taken from all the patients for detailed demographics included age, sex, body mass index and type of injury. Patients were admitted in emergency ward for initial treatment. Outcomes were calculated in terms of predictive value of injury severity score in relation to morbidity, mortality and hospital stay of patients. Abbreviated injury scale (AIS) score was used to analyze severity score. SPSS 20.0 version was used to analyze complete data. Results: Majority of the patients 55 (68.8%) were males and 25 (31.2%) were females. Mean age of the patients was 30.17±3.55 years with mean BMI 24.13±6.71 kg/m2. 45 (56.3%) patients were literate and 60 (75%) cases were from urban areas. Motorcycle was the most common cause of trauma found in 48 (60%) patients followed by car accidents in 18 (22.5%) and 14 (17.5%) trauma were because of cycle or other traffic. Legs and arms fractures were the most common injuries found in 32 (40%) and 25 (31.3%) followed by head fractures in 23 (28.8%) cases. Mean injury severity score was 54.07±3.64. Mean hospital stay was 3.12±4.37 days. Rate of mortality was high found in 19 (23.8%) cases. Conclusion: We concluded in this study that the injury severity score among traumatic patients were significantly high with rate of mortality and limb fractures were the most common injury found. Injury severity score is becoming more widely accepted as a predictor of mortality. Keywords: Road Traffic Accident, Injury Severity Score, Mortality, Limb Fracture

scholarly journals Characteristics of Patients Injured in Road Traffic Accidents According to the New Injury Severity Score

2016 ◽  
Vol 40 (2) ◽  
pp. 288 ◽  
Author(s):  
Jung Soo Lee ◽  
Yeo Hyung Kim ◽  
Jae Sung Yun ◽  
Sang Eun Jung ◽  
Choong Sik Chae ◽  
...  
Keyword(s):  
Injury Severity Score ◽  
Severity Score ◽  
Traffic Accidents ◽  
Injury Severity ◽  
Road Traffic ◽  
Road Traffic Accidents ◽  
New Injury Severity Score

scholarly journals Improving the timeliness and accuracy of injury severity data in road traffic accidents in an emerging economy setting

2018 ◽  
Vol 31 (2) ◽  
pp. 140-146
Author(s):  
Carlos Lam ◽  
Chang-I Chen ◽  
Chia-Chang Chuang ◽  
Chia-Chieh Wu ◽  
Shih-Hsiang Yu ◽  
...  
Keyword(s):  
Traffic Accidents ◽  
Injury Severity ◽  
Road Traffic ◽  
Emerging Economy ◽  
Road Traffic Accidents

scholarly journals Empirical Modelling for exploring the factors contributing to disability severity from road traffic accidents in Thailand

1970 ◽  
Vol 6 (2) ◽  
pp. 176-185
Author(s):  
Jaratsri Rungrattanaubol ◽  
Anamai Na-udom ◽  
Antony Harfield
Keyword(s):  
Neural Network ◽  
Data Mining ◽  
Traffic Accidents ◽  
Injury Severity ◽  
Road Traffic ◽  
Road Traffic Accidents ◽  
Empirical Modelling ◽  
Standard Data ◽  
Accident Data ◽  
Computer Based

This paper introduces a computer-based model for predicting the severity of injuries in road traffic accidents. Using accident data from surveys at hospitals in Thailand, standard data mining techniques were applied to train and test a multilayer perceptron neural network. The resulting neural network specification was loaded into an interactive environment called EDEN that enables further exploration of the computer-based model. Although the model can be used for the classification of accident data in terms of injury severity (in a similar way to other data mining tools), the EDEN tool enables deeper exploration of the underlying factors that might affect injury severity in road traffic accidents. The aim of this paper is to describe the development of the computer-based model and to demonstrate the potential of EDEN as an interactive tool for knowledge discovery.

scholarly journals The Impact of Traffic Law Enforcement Regulations on the Incidence and Severity of Maxillofacial Injuries

2021 ◽  
Author(s):  
Abdullah Albakri ◽  
Ahmed Al-Hashmi ◽  
Abdulaziz Bakathir ◽  
Shikhan Al Hashmi ◽  
Said Al Rashdi ◽  
...  
Keyword(s):  
Law Enforcement ◽  
Injury Severity Score ◽  
Severity Score ◽  
Traffic Accidents ◽  
Injury Severity ◽  
Maxillofacial Injuries ◽  
Traffic Law ◽  
Study Results ◽  
Traffic Law Enforcement ◽  
The Impact

Objectives: Road traffic accidents (RTAs) are the main cause of facial injuries in Oman. This study aimed to assess the effectiveness of the new traffic law enforcement regulations (TLERs) on the incidence and severity of maxillofacial injuries in Oman. Methods: A retrospective longitudinal analytic study was conducted at three tertiary care hospitals in Muscat, Oman. All patients with RTA-related maxillofacial injuries for a five-year period from January 2005 to December 2009 (before the new TLERs) and the five-year period from January 2015 to December 2019 (after the new TLERs) were included in the study. Results: A total of 1127 patients were included in the study. Of these, 646 (57.3%) patients sustained RTA-related maxillofacial injuries before the implementation of the new TLERs compared to 481 (42.7%) after the introduction of TLERs. There was no significant difference in gender sustained injuries between the two study periods. The incidence of injury before the implementation of the TLERs was 22.7 per 100,000 population, which then reduced significantly to 11 per 100,000 after the new TLERs. Overall, there was a significant reduction in the mean facial injury severity score from 3.2 to 2.3 before and after the implementation of the new TLERs, respectively. Conclusion: The findings of this study indicate that the newly introduced TLERs have resulted in a reduction in the incidence and severity of RTA-related maxillofacial injuries. Continuous improvement and reinforcement of TLERs will further help to reduce the burden of these injuries to the society in general and health services in particular. Keywords: Law Enforcement; Traffic Accidents; Maxillofacial Injuries; Injury Severity Score; Oman.

scholarly journals Scapular fracture: lower severity and mortality

2008 ◽  
Vol 126 (3) ◽  
pp. 186-189 ◽  
Author(s):  
Javad Salimi ◽  
Ali Khaji ◽  
Mojgan Karbakhsh ◽  
Soheil Saadat ◽  
Behzad Eftekhar
Keyword(s):  
Injury Severity Score ◽  
Severity Score ◽  
Injury Severity ◽  
Road Traffic ◽  
General Hospitals ◽  
Old Patients ◽  
Scapular Fracture ◽  
Scapular Fractures ◽  
Study Results ◽  
Scapula Fractures

CONTEXT AND OBJECTIVE: The presence of scapular fracture is believed to be associated with high rates of other injuries and accompanying morbidities. The aim was to study injury patterns and their overall outcomes in patients with scapula fractures. DESIGN AND SETTING: Cross-sectional study of trauma patients treated at six general hospitals in Tehran. METHODS: One-year trauma records were obtained from six general hospitals Among these, forty-one had sustained a scapular fracture and were included in this study. RESULTS: Scapular fracture occurred predominantly among 20 to 50-year-old patients (78%). Road traffic accidents (RTAs) were the main cause of injury (73.2%; 30/41). Pedestrians accounted for 46.7% (14/30) of the injuries due to RTAs. Falls were the next most common cause, accounting for seven cases (17.1%). Body fractures were the most common type of scapular fractures (80%). Eighteen patients (43.9%) had isolated scapular fractures. Limb fracture was the most common associated injury, detected in 18 cases (43.9%). Three patients (7.3%) had severe injuries (injury severity score, ISS > 16) which resulted in one death (2.4%). The majority of the patients were treated conservatively (87.8%). CONCLUSIONS: Patients with scapula fractures have more severe underlying chest injuries and clavicle fractures. However, this did not correlate with higher rates of injury severity score, intensive care unit admission or mortality.

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