scholarly journals Pattern of Morbidity and Mortality Due to Road Traffic Accident Cases at BP Koirala Institute of Health Sciences, Dharan

2020 ◽  
Vol 3 (2) ◽  
pp. 9-14
Author(s):  
Sugam Shrestha ◽  
BN Yadav ◽  
Shivendra Jha ◽  
Bikash Sah

Introduction: Road traffic injuries and deaths caused by motor vehicles is a growing public health problem all over the world. Head injury and blunt abdominal trauma are major health problems and are frequent causes of death among Road Traffic Accident (RTA) victims. Methods: A total of 348 cases were examined in Emergency department and the Department of Forensic Medicine and Toxicology at B.P Koirala Institute of Health Sciences, Dharan during the period of one year. Data were collected using proforma and analyzed using Statistical Package for Social Sciences (SPSS) 11.5. Injury Severity Score (ISS) was used to assess the severity of injuries. Result: There were 318 morbidity and 30 mortality cases. Male to female ratio was 2.2:1. The commonest age group involved was 21-30 years i.e.32.1%. The most common vehicle involved was two wheelers (60.9%) followed by heavy four or more wheelers (20.9%) and the most common nature of accident was through collision of the vehicles. Abrasion was the most common injury occurred during the RTA (61.2%). 34.1% of the victims had laceration, 8.6% had contusion and 20.9% had fractures. Median Injury Severity Score was 31.5 in mortality and 1 in morbidity cases. Conclusion: Road traffic accident is one of the major causes of morbidity and mortality. Injuries in various body regions are frequent findings in victims of RTA. The median Injury Severity Score (ISS) of mortality cases was significantly high compared to that of morbidity cases.

2018 ◽  
Vol 23 (2) ◽  
pp. 148-159
Author(s):  
Abdullah Alqarni Abdulaziz ◽  
Ghanem Alanazi Radhi ◽  
Anthony Morgan ◽  
Ahmed Saud Alharbi ◽  
Faisal Fahad Aljuaid ◽  
...  

2009 ◽  
Vol 3 (4) ◽  
pp. 196-200 ◽  
Author(s):  
Kobi Peleg ◽  
Bella Savitsky ◽  

ABSTRACTBackground: Terrorism victims comprise the minority among trauma injured people, but this small population imposes a burden on the health care system. Thirty percent of the population injured in terrorist activities experienced severe trauma (injury severity score ≥16), more than half of them need a surgical procedure, and 25% of the population affected by terrorism had been admitted to intensive care. Furthermore, compared with patients with non–terrorism-related trauma, victims of terrorism often arrive in bulk, as part of a mass casualty event. This poses a sudden load on hospital resources and requires special organization and preparedness. The present study compared terrorism-related and road accident–related injuries and examined clinical characteristics of both groups of patients.Methods: This study is a retrospective study of all patients injured through terrorist acts and road traffic accidents from September 29, 2000 to December 31, 2005, and recorded in the Israel Trauma Registry. Data on the nature of injuries, treatment, and outcome were obtained from the registry. Medical diagnoses were extracted from the registry and classified based on International Classification of Diseases coding. Diagnoses were grouped to body regions, based on the Barell Injury Diagnosis Matrix.Results: The study includes 2197 patients with terrorism-related injuries and 30,176 patients injured in road traffic accidents. All in all, 27% of terrorism-related casualties suffered severe to critical injuries, comparing to 17% among road traffic accident–related victims. Glasgow Coma Scale scores ≤8, measured in the emergency department, were among 12.3% of terrorism victims, in contrast with 7.4% among people injured on the roads. The terrorism victims had a significantly higher rate of use of intensive care facilities (24.2% vs 12.4%). The overall inpatient death rate was 6.0% among terrorism victims and 2.4% among those injured in road traffic accidents.Conclusions: Casualties from terrorist events are more severely injured and require more resources relative to casualties from road traffic accidents. (Disaster Med Public Health Preparedness. 2009;3:196–200)


2021 ◽  
Vol 24 (1and2) ◽  
pp. 175-177
Author(s):  
Shribhagwan Gahlot ◽  
Vijay Kumar ◽  
Leena Kumari ◽  
Sumit Tellewar ◽  
Nakul Pandoh

2008 ◽  
Vol 126 (3) ◽  
pp. 186-189 ◽  
Author(s):  
Javad Salimi ◽  
Ali Khaji ◽  
Mojgan Karbakhsh ◽  
Soheil Saadat ◽  
Behzad Eftekhar

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.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Muding Wang ◽  
Guohu Zhang ◽  
Degang Cong ◽  
Yunji Zeng ◽  
Wenhui Fan ◽  
...  

AbstractAbbreviated 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 accuracy. The widely accepted alternative, trauma and injury severity score (TRISS), improves the prediction rate by combining an anatomical index of ISS, physiological index (the Revised Trauma Score, RTS), and the age of patients. The study introduced the traumatic injury mortality prediction (TRIMP) with the inclusion of extra clinical information and aimed to compare the ability against the TRISS as predictors of survival. The hypothesis was that TRIMP would outperform TRISS in prediction power by incorporating clinically available data. This was a retrospective cohort study where a total of 1,198,885 injured patients hospitalized between 2012 and 2014 were subset from the National Trauma Data Bank (NTDB) in the United States. A TRIMP model was computed that uses AIS 2005 (AIS_05), physiological reserve and physiological response indicators. The results were analysed by examining the area under the receiver operating characteristic curve (AUC), the Hosmer–Lemeshow (HL) statistic, and the Akaike information criterion. TRIMP gave both significantly better discrimination (AUCTRIMP, 0.964; 95% confidence interval (CI), 0.962 to 0.966 and AUCTRISS, 0.923; 95% CI, 0.919 to 0.926) and calibration (HLTRIMP, 14.0; 95% CI, 7.7 to 18.8 and HLTRISS, 411; 95% CI, 332 to 492) than TRISS. Similar results were found in statistical comparisons among different body regions. TRIMP was superior to TRISS in terms of accurate of mortality prediction, TRIMP is a new and feasible scoring method in trauma research and should replace the TRISS.


1999 ◽  
Vol 5 (4) ◽  
pp. 676-683
Author(s):  
M. I. Kamel ◽  
N. M. Kamel ◽  
N. Foda ◽  
S. Khashab

Accidents are the leading cause of morbidity and mortality among schoolchildren. Epidemiological and risk predictors of injury severity were investigated among all school injuries presenting at the Students’ Hospital in Alexandria during the scholastic year 1996-97. In all, 3422 injured pupils were surveyed. Age, nature of injury, place and mechanism of school injury and referral method were significant risk predictors for hospitalization. Age, referral method and nature of injury were significant predictors of referral to specialized health services. Injury severity score was significantly predicted by the presence of acute disease during time of injury, place and mechanism of injury as well as by provision of first aid and referral method and time


Author(s):  
Anant Singh ◽  
Raj K. Chejara ◽  
Ashok K. Sharma ◽  
Aditya Tolat

Background: Trauma is one of the major cause of mortality and morbidity in both developed and developing countries. Polytrauma patients present particular challenges as profile of the patient varies with different types and severity of injuries. Prediction of survival in trauma patients is an essential requirement of trauma care. Trauma and injury severity score (TRISS) have been considered as a standard of the quality of trauma care. Study was carried out to evaluate the performance of TRISS in predicting survival in patients of polytrauma.Methods: Prospective observational study was conducted in emergency department of a tertiary care centre. 100 patients were evaluated in the study for a period of 18 months between November 2019 and April 2021. Patient demographics, details of trauma, pattern of injuries and physiological status were recorded. Overall outcome were studied and data analysis was done on the basis of TRISS. Statistical analysis was performed using statistical package for the social sciences (SPSS) program for windows, version 25.0 (SPSS Chicago, Illinois).Results: Young patients with mean age of 34.54 were most commonly affected in polytrauma with male preponderance. Road traffic accidents were the most common mode of trauma followed by fall from height. Blunt trauma was the most common type of injury. TRISS strongly predicted survival in polytrauma patients (AUC 0.926 CI 95% 0.868-0.985). TRISS has high sensitivity 97.62% and specificity 62.50% at a cut off of 64.50%.Conclusions: TRISS is an effective method for predicting survival of polytrauma patients and thus can be utilized to evaluate and compare trauma care.


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