No abstract available.
Accidents, Traffic* ; Emergencies* ; Emergency Service, Hospital* ; Injury Severity Score*

PURPOSE: Alcohol intake is commonly found in injured patients, and alcohol affects base deficit independently with trauma. The purpose of this study was to evaluate the effect of alcohol on base deficit in trauma patients. METHODS: Data was retrospectively collected from trauma patients over 18 years of age who were admitted at the emergency center between October 2005 and July 2006. Blood sampling for alcohol level, base deficit evaluation were done within first hour for all patients. Patients were divided according to the serum alcohol level into an alcohol group(serum alcohol level> or =10 mg/dl) and a non-alcohol group. The patients were also stratified into minor (ISS< or =15) and major (ISS> or =16) injury groups according to their injury severity score (ISS). RESULTS: The study enrolled 63 patients of whom 37 fell into the alcohol group and 26 into the non-alcohol group. The mean alcohol level within the alcohol group was 210+/-85 mg/dl. Base deficit and serum lactate were not found to be significantly different in minor and major injuries, and ISS, base deficit were not significantly different with serum alcohol level. Base deficit was somewhat higher on average but not statistically significant in the non-alcohol group than in the alcohol group (-3.0+/-4.5 vs. -1.8+/-6.7 mmol/L, p=0.444). The base deficit was higher for the major injury-alcohol group than for the major injury-non-alcohol group, but this difference also did not achieve statistical significance (-4.6 +/-5.8 vs -2.4+/-8.1 mmol/L, p=0.117) CONCLUSION: In the severely injured patients, base deficit appears to be increased with alcohol but we found no statistically significant differences in base deficit and ISS between alcohol group and non-alcohol group of injured patients.
Emergencies ; Humans ; Injury Severity Score ; Lactic Acid ; Retrospective Studies

PURPOSE: To study the clinical results of AO type C pelvic ring injuries and identify the prognostic factors. MATERIALS AND METHODS: 25 patients were treated for C type pelvic ring fractures between January 1995 and August 2002. The injury mechanism, associated injuries, time from injury to surgery, ICU care, Injury Severity Score, fracture site of posterior ring, displacement, surgical method, and complications were analyzed. Radiological and clinical evaluations of the results were conducted using the Majeed's score. Of the 25 patients, 16 were male, 9 were female, with an average age of 41.6 years. All except one patient had associated injuries and 12 patients had neurological complications. There were 17, 7 and 1 case of C1, C2 and C3 type injuries respectively. Twenty three cases underwent surgical treatment. RESULTS: The average Majeed's score was 66.6 points, and 15 patients (60%) had good or excellent results. The complications included 3 cases of non-union and 1 case of SI joint infection were complications. The clinical results were worse in those patients with neurological symptoms. CONCLUSION: Satisfactory results were obtained after surgical treatment of C type pelvic ring injuries. Neurological injuries affected the clinical outcome and appropriate fixation of the anterior ring was needed for stable fixation of C type pelvic ring injuries.
Female ; Humans ; Injury Severity Score ; Joints ; Male ; Pelvis

The TRISS (Revised Trauma Score and Injury Severity Score) method of trauma care evaluation was applied to 476 consecutive trauma patients admitted to our medical center over a 6-month period. Male to female ratio was 8:1, with a mean age of 24.7 years. Penetrating injury was the most common mechanism of injury (62%), with the chest as the most common region injured (36%). Mean probability of survival of 476 patients was 0.9802 and a predicted mortality of 9.4 patients. The overall mortality was 5.4 per cent with 26 actual deaths. As 93 per cent of patients had injuries to isolated anatomic regions, using the TRISS method, assigning numerical values to noninjured anatomic regions mathematically increased their probability of survival, even though the isolated injury was life-threatening. Consideration should be taken before adapting the TRISS method as the gold standard in evaluating trauma care in the local setting

PURPOSE: To estimate the incidence and risk of significant renal injury quantitatively in the admitted patients with abdominal trauma. MATERIALS AND METHODS: From January 1992 to July 1997, 511 patients who admitted to departments of urology and general surgery due to major abdominal trauma with and without renal injury were included in this study. The risk of renal injury was defined as the percentage of square of Abbreviated Injury Scale of kidney in the Injury Severity Score(ISS) per each patient. The patients were classified to 5 groups according to the causes of trauma as traffic accident, falls, assault, other blunt and stab Injury, then compared the incidence and risk of renal injury each other. RESULTS: The overall incidence of significant renal injury was 14.9%, and the incidence according to the causes was 27.0%,20.8%, 16.1%, 14.3% and 10.7% in falls, assault, stab injury, other blunt and traffic accident, respectively. The overall risk of significant renal injury estimated by ISS was 15.7% and the risk according to the causes was 26.7%,24.9%, 11.9%,9.9% and 4.9% in assault, falls, traffic accident, other blunt and stab injury, respectively Mean ISS in the patients with renal injury was markedly higher than that of the patients without renal injury(27.5 vs 13.6)(p < 0.01). CONCLUSIONS: Our study shows that both the incidence and risk of significant renal injury in the admitted patients with abdominal trauma can be expected in the probability of 15% or so, and according to the causes, those in the traumatized patients by the assault and falls mark high.
Abbreviated Injury Scale ; Accidents, Traffic ; Humans ; Incidence* ; Injury Severity Score ; Kidney ; Urology

Chemical and Drug Induced Liver Injury ; pathology ; Humans ; Injury Severity Score ; Liver ; pathology

OBJECTIVE: To compare the predictive power of International Classification of Diseases 10th Edition(ICD-10) based International Classification of Diseases based Injury Severity Score(ICISS) with Trauma and Injury Severity Score(TRISS) and International Classification of Diseases 9th Edition Clinical Modification(ICD-9CM) based ICISS in the injury severity measure. METHODS: ICD-10 version of Survival Risk Ratios(SRRs) was derived from 47,750 trauma patients from 35 Emergency Centers for 1 year. The predictive power of TRISS, the ICD-9CM based ICISS and ICD-10 based ICISS were compared in a group of 367 severely injured patients admitted to two university hospitals. The predictive power was compared by using the measures of discrimination(disparity, sensitivity, specificity, misclassification rates, and ROC curve analysis) and calibration(Hosmer-Lemeshow goodness-of-fit statistics), all calculated by logistic regression procedure. RESULTS: ICD-10 based ICISS showed a lower performance than TRISS and ICD-9CM based ICISS. When age and Revised Trauma Score(RTS) were incorporated into the survival probability model, however, ICD-10 based ICISS full model showed a similar predictive power compared with TRISS and ICD-9CM based ICISS full model. ICD-10 based ICISS had some disadvantages in predicting outcomes among patients with intracranial injuries. However, such weakness was largely compensated by incorporating age and RTS in the model. CONCLUSIONS: The ICISS methodology can be extended to ICD-10 horizon as a standard injury severity measure in the place of TRISS, especially when age and RTS were incorporated in the model. In patients with intracranial injuries, the predictive power of ICD-10 based ICISS was relatively low because of differences in the classifying system between ICD-10 and ICD-9CM.
Emergencies ; Hospitals, University ; Humans ; Injury Severity Score ; International Classification of Diseases* ; Logistic Models ; ROC Curve ; Sensitivity and Specificity

PURPOSES: The causes of altered mental status (AMS) are varied. Trauma accounts for 6.5%-36.3% of all AMS cases, and the mortality in these instances ranges from 20~80.5%. Multiple injury severity scoring systems exist to assist in the prognosing of trauma patients. We investigated the degree of correlation between injury severity scoring systems and prognoses of patients with AMS due to trauma. METHODS: We reviewed the medical records of 188 patients admitted to the emergency department of Konyang University Hospital who had trauma with AMS. We investigated the clinical characteristics of these patients and evaluated the usefulness of four injury severity scoring systems: revised trauma score (RTS), injury severity score (ISS), new injury severity score (NISS), and trauma and injury severity score (TRISS). RESULTS: The average scores of ISS and NISS were higher and RTS and TRISS were lower in the non-survivor group than in the survivor group (p<0.01). The area under the curve (AUC) for the receiver operating characteristic (ROC) curve was 0.725 for ISS and 0.733 for NISS, but these scoring systems had only a fair predictive ability. Hosmer-Lemeshow statistics showed no predictive ability differences for death between the four scoring systems. The predictive ability of all injury severity scoring systems to identify survivors was high (88.1~94.0%). In contrast, their predictive ability to identify non-survivors was low (29.6%~63.0%). CONCLUSIONS: In the use of RTS, ISS, NISS, and TRISS for evaluating trauma patients with AMS, none of the four systems exhibited any distinguishing predictive features. All failed to reliably predict non-survivors, but all showed good predictive value for identifying survivors.
Emergency Service, Hospital ; Humans ; Injury Severity Score ; Medical Records ; Mortality ; Multiple Trauma ; Prognosis ; ROC Curve ; Survivors

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 data from trauma patients admitted to our institution from January 2010 to December 2014. Injury Severity Score (ISS), Revised Trauma Score (RTS), and Trauma and Injury Severity Score (TRISS) were calculated based on the data from the enrolled patients. Area under the receiver operating characteristic (ROC) curve (AUC) for the prediction ability of each scoring system was obtained, and a pairwise comparison of ROC curves was performed. Additionally, the cut-off values were estimated to predict mortality, and the corresponding accuracy, positive predictive value, and negative predictive value were obtained. RESULTS: A total of 7,120 trauma patients (6,668 blunt and 452 penetrating injuries) were enrolled in this study. The AUCs of ISS, RTS, and TRISS were 0.866, 0.894, and 0.942, respectively, and the prediction ability of the TRISS was significantly better than the others (p < 0.001, respectively). The cut-off value of the TRISS was 0.9082, with a sensitivity of 81.9% and specificity of 92.0%; mortality was predicted with an accuracy of 91.2%; its positive predictive value was the highest at 46.8%. CONCLUSIONS: The results of our study were based on the data from one institution and suggest that the TRISS is the best prediction model of trauma outcomes in the current Korean population. Further study is needed with more data from multiple centers in Korea.
Area Under Curve ; Humans ; Injury Severity Score ; Korea ; Mortality ; ROC Curve ; Sensitivity and Specificity ; Trauma Centers

OBJECTIVE: Despite several limitations, the Trauma Injury Severity Score (TRISS) is normally used to evaluate trauma systems. The aim of this study was to evaluate the preventable trauma death rate using the TRISS method in severe trauma patients with traumatic brain injury using our emergency department data. METHODS: The use of the TRISS formula has been suggested to consider definitively preventable death (DP); the deaths occurred with a probability of survival (Ps) higher than 0.50 and possible preventable death (PP); the deaths occurred with a Ps between 0.50 and 0.25. Deaths in patients with a calculated Ps of less than 0.25 is considered as no-preventable death (NP). A retrospective case review of deaths attributed to mechanical trauma occurring between January 1, 2011 and December 31, 2011 was conducted. RESULTS: A total of 565 consecutive severe trauma patients with ISS>15 or Revised Trauma Score<7 were admitted in our institute. We excluded a total of 24 patients from our analysis : 22 patients younger than 15 years, and 2 patients with burned injury. Of these, 221 patients with head injury were analyzed in the final study. One hundred eighty-two patients were in DP, 13 in PP and 24 in NP. The calculated predicted mortality rates were 11.13%, 59.04%, and 90.09%. The actual mortality rates were 12.64%, 61.547%, and 91.67%, respectively. CONCLUSION: Although it needs to make some improvements, the present study showed that TRISS performed well in predicting survival of traumatic brain injured patients. Also, TRISS is relatively exact and acceptable compared with actual data, as a simple and time-saving method.
Brain ; Brain Injuries ; Craniocerebral Trauma ; Emergencies ; Humans ; Injury Severity Score ; Retrospective Studies