Bladder injuries after external trauma: 20 years experience report in a population-based cross-sectional view

Objectives

Report 20 years experience of bladder injuries after external trauma.

Methods

Gender, age, mechanism/location of damage, associated injuries, systolic blood pressure (SBP), Revised Trauma Score (RTS), Injury Severity Score (ISS), Trauma Injury Severity Score (TRISS), complications, and length of stay (LOS) were analyzed in a prospective collected bladder injuries AAST-OIS grade ≥II database (American Association for the Surgery of Trauma Organ Injury Scaling) from 1990 to 2009 in a trauma reference center.

Results

Among 2,575 patients experiencing laparotomy for trauma, 111 (4.3 %) presented bladder ruptures grade ≥II, being 83.8 % (n = 93) males, mean age 31.5 years old (±11.2). Blunt mechanism accounted for 50.5 % (n = 56)–motor vehicle crashes 47.3 % (n = 26), pedestrians hit by a car (29.1 %). Gunshot wounds represented 87.3 % of penetrating mechanism. The most frequent injury was grade IV (51 patients, 46 %). The mean ISS was 23.8 (±11.2), TRISS 0.90 (±0.24), and RTS 7.26 (±1.48). Severity (AAST-OIS), mechanism (blunt/penetrating), localization of the bladder injury (intra/extraperitoneal, associated), and neither concomitant rectum lesion were related to complications, LOS, or death. Mortality rate was 10.8 %. ISS > 25 (p = 0.0001), SBP <90 mmHg (p = 0.0001), RTS <7.84 (p = 0.0001), and pelvic fracture (p = 0.0011) were highly associated with grim prognosis and death with hazard ratios of 5.46, 2.70, 2.22, and 2.06, respectively.

Conclusions

Trauma scores and pelvic fractures impact survival in bladder trauma. The mortality rate has remained stable for the last two decades.     

Validation of international trauma scoring systems in urban trauma centres in India

IntroductionIn the Lower-Middle Income Country setting, we validate trauma severity scoring systems, namely Injury Severity Score (ISS), New Injury Severity Scale (NISS) score, the Kampala Trauma Score (KTS), Revised Trauma Score (RTS) score and the TRauma Injury Severity Score (TRISS) using Indian trauma patients.Patients and methodsFrom 1 September 2013 to 28 February 2015, we conducted a prospective multi-centre observational cohort study of trauma patients in four Indian university hospitals, in three megacities, Kolkata, Mumbai and Delhi. All adult patients presenting to the casualty department with a history of injury and who were admitted to inpatient care were included. The primary outcome was in-hospital mortality within 30-days of admission. The sensitivity and specificity of each score to predict inpatient mortality within 30 days was assessed by the areas under the receiver operating characteristic curve (AUC). Model fit for the performance of individual scoring systems was accomplished by using the Akaike Information criterion (AIC).ResultsIn a registry of 8791 adult trauma patients, we had a cohort of 7197 patients eligible for the study. 4091 (56.8%)patients had all five scores available and was the sample for a complete case analysis. Over a 30-day period, the scores (AUC) was TRISS (0.82), RTS (0.81), KTS (0.74), NISS (0.65) and ISS (0.62). RTS was the most parsimonious model with the lowest AIC score. Considering overall mortality, both physiologic scores (RTS, KTS) had better discrimination and goodness-of-fit than ISS or NISS. The ability of all Injury scores to predict early mortality (24 h) was better than late mortality (30 day).ConclusionOn-admission physiological scores outperformed the more expensive anatomy-based ISS and NISS. The retrospective nature of ISS and TRISS score calculations and incomplete imaging in LMICs precludes its use in the casualty department of LMICs. They will remain useful for outcome comparison across trauma centres. Physiological scores like the RTS and KTS will be the practical score to use in casualty departments in the urban Indian setting, to predict early trauma mortality and improve triage.     

A Comparison of the Kampala Trauma Score (KTS) with the Revised Trauma Score (RTS), Injury Severity Score (ISS) and the TRISS Method in a Ugandan Trauma Registry

Abstract Background: The public health significance of injuries that occur in developing countries is now recognized. In 1996, as part of the injury surveillance registry in Kampala, Uganda, a new score, the Kampala Trauma Score (KTS) was instituted. The KTS, developed in light of the limited resource base of sub-Saharan Africa, is a simplified composite of the Revised Trauma Score (RTS) and the Injury Severity Score (ISS) and closely resembles the Trauma Score and Injury Severity Score (TRISS). Patients and Methods: The KTS was applied retrospectively to a cohort of prospectively accrued urban trauma patients with the RTS, ISS and TRISS calculated. Using ROC (receiver operating characteristics) analysis, logistic regression models and sensitivity and specificity cutoff analysis, the KTS was compared to these three scores. Results: Using logistic regression models and areas under the ROC curve, the RTS proved a more robust predictor of death at 2 weeks in comparison to the KTS. However, differences in screening performance were marginal (areas under the ROC curves were 87% for the RTS and 84% for the KTS) with statistical significance only reached for an improved specificity (67% vs. 47%; p < 0.001), at a fixed sensitivity of 90%. In addition, the KTS predicted hospitalization at 2 weeks more accurately. Conclusion: The KTS statistically performs comparably to the RTS and ISS alone as well as to the TRISS but has the added advantage of utility. Therefore, the KTS has potential as a triage tool in resource-poor and similar health care settings.     

Exploring injury severity measures and in-hospital mortality: A multi-hospital study in Kenya

IntroductionLow- and middle-income countries (LMICs) have a disproportionately high burden of injuries. Most injury severity measures were developed in high-income settings and there have been limited studies on their application and validity in low-resource settings. In this study, we compared the performance of seven injury severity measures: estimated Injury Severity Score (eISS), Glasgow Coma Score (GCS), Mechanism, GCS, Age, Pressure score (MGAP), GCS, Age, Pressure score (GAP), Revised Trauma Score (RTS), Trauma and Injury Severity Score (TRISS) and Kampala Trauma Score (KTS), in predicting in-hospital mortality in a multi-hospital cohort of adult patients in Kenya.MethodsThis study was performed using data from trauma registries implemented in four public hospitals in Kenya. Estimated ISS, MGAP, GAP, RTS, TRISS and KTS were computed according to algorithms described in the literature. All seven measures were compared for discrimination by computing area under curve (AUC) for the receiver operating characteristics (ROC), model fit information using Akaike information criterion (AIC), and model calibration curves. Sensitivity analysis was conducted to include all trauma patients during the study period who had missing information on any of the injury severity measure(s) through multiple imputations.ResultsA total of 16,548 patients were included in the study. Complete data analysis included 14,762 (90.2%) patients for the seven injury severity measures. TRISS (complete case AUC: 0.889, 95% CI: 0.866–0.907) and KTS (complete case AUC: 0.873, 95% CI: 0.852–0.892) demonstrated similarly better discrimination measured by AUC on in-hospital deaths overall in both complete case analysis and multiple imputations. Estimated ISS had lower AUC (0.764, 95% CI: 0.736–0.787) than some injury severity measures. Calibration plots showed eISS and RTS had lower calibration than models from other injury severity measures.ConclusionsThis multi-hospital study in Kenya found statistical significant higher performance of KTS and TRISS than other injury severity measures. The KTS, is however, an easier score to compute as compared to the TRISS and has stable good performance across several hospital settings and robust to missing values. It is therefore a practical and robust option for use in low-resource settings, and is applicable to settings similar to Kenya.     

Comparison of Intensive Care and Trauma-specific Scoring Systems in Critically Ill Patients

IntroductionAmongst critically ill trauma patients admitted to ICU and still alive and in ICU after 24 hours, it is unclear which trauma scoring system offers the best performance in predicting in-hospital mortality.MethodsThe Australia and New Zealand Intensive Care Society Adult Patient Database and Victorian State Trauma Registry were linked using a unique patient identification number. Six scoring systems were evaluated: the Australian and New Zealand Risk of Death (ANZROD), Acute Physiology and Chronic Health Evaluation III (APACHE III) score and associated APACHE III Risk of Death (ROD), Trauma and Injury Severity Score (TRISS), Injury Severity Score (ISS), New Injury Severity Score (NISS) and the Revised Trauma Score (RTS). Patients who were admitted to ICU for longer than 24 hours were analysed. Performance of each scoring system was assessed primarily by examining the area under the receiver operating characteristic curve (AUROC) and in addition using standardised mortality ratios, Brier score and Hosmer-Lemeshow C statistics where appropriate. Subgroup assessments were made for patients aged 65 years and older, patients between 18 and 40 years of age, major trauma centre and head injury.ResultsOverall, 5,237 major trauma patients who were still alive and in ICU after 24 hours were studied from 25 ICUs in Victoria, Australia between July 2008 and January 2018. Hospital mortality was 10.7%. ANZROD (AUROC 0.91; 95% CI 0.90-0.92), APACHE III ROD (AUROC 0.88; 95% CI 0.87-0.90), and APACHE III (AUROC 0.88; 95% CI 0.87-0.89) were the best performing tools for predicting hospital mortality. TRISS had acceptable overall performance (AUROC 0.78; 95% CI 0.76-0.80) while ISS (AUROC 0.61; 95% CI 0.59-0.64), NISS (AUROC 0.68; 95% CI 0.65-0.70) and RTS (AUROC 0.69; 95% CI 0.67-0.72) performed poorly. The performance of each scoring system was highest in younger adults and poorest in older adults.ConclusionIn ICU patients admitted with a trauma diagnosis and still alive and in ICU after 24 hours, ANZROD and APACHE III had a superior performance when compared with traditional trauma-specific scoring systems in predicting hospital mortality. This was observed both overall and in each of the subgroup analyses. The anatomical scoring systems all performed poorly in the ICU population of Victoria, Australia.     

Predictors of mortality in adult trauma patients: the physiologic trauma score is equivalent to the Trauma and Injury Severity Score

Background:

Several statistical models (Trauma and Injury Severity Score [TRISS], New Injury Severity Score [NISS], and the International Classification of Disease, Ninth Revision-based Injury Severity Score [ICISS]) have been developed over the recent decades in an attempt to accurately predict outcomes in trauma patients. The anatomic portion of these models makes them difficult to use when performing a rapid initial trauma assessment. We sought to determine if a Physiologic Trauma Score, using the systemic inflammatory response syndrome (SIRS) score in combination with other commonly used indices, could accurately predict mortality in trauma.

Study Design:

Prospective data were analyzed in 9,539 trauma patients evaluated at a Level I Trauma Center over a 30-month period (January 1997 to July 1999). A SIRS score (1 to 4) was calculated on admission (1 point for each: temperature >38°C or <36°C, heart rate >90 beats per minute, respiratory rate >20 breaths per minute, neutrophil count > 12,000 or < 4,000. SIRS score, Injury Severity Score (ISS), Revised Trauma Score (RTS), TRISS, Glasgow Coma Score, age, gender, and race were used in logistic regression models to predict trauma patients’ risk of death. The area under the receiver-operating characteristic curves of sensitivity versus 1-specificity was used to assess the predictive ability of the models.

Results:

The study cohort of 9,539 trauma patients (of which 7,602 patients had complete data for trauma score calculations) had a mean ISS of 9 ± 9 (SD) and mean age of 37 ± 17 years. SIRS (SIRS score ≥ 2) was present in 2,165 of 7,602 patients (28.5%). In single-variable models, TRISS and ISS were most predictive of outcomes. A multiple-variable model, Physiologic Trauma Score combining SIRS score with Glasgow Coma Score and age (Hosmer-Lemenshow CHI-SQUARE = 4.74) was similar to TRISS and superior to ISS in predicting mortality. The addition of ISS to this model did not significantly improve its predictive ability.

Conclusions:

A new statistical model (Physiologic Trauma Score), including only physiologic variables (admission SIRS score combined with Glasgow Coma Score and age) and easily calculated at the patient bedside, accurately predicts mortality in trauma patients. The predictive ability of this model is comparable to other complex models that use both anatomic and physiologic data (TRISS, ISS, and ICISS).     

Interest of the MGAP score on in-hospital trauma patients: Comparison with TRISS,ISS and NISS scores

Trauma scoring systems were created to predict mortality and enhance triage capabilities. However, efficacy of scoring systems to predict mortality and accuracy of originally reported severity thresholds remains uncertain. A single-center, retrospective study was conducted at University of Virginia (UVA), an American College of Surgeons verified Level I trauma center. We compared four scoring systems: MGAP (Mechanism, Glasgow Coma Scale, Age, and arterial pressure), Injury Severity Score (ISS), New Injury Severity Score (NISS), and Trauma Related Injury Severity Score (TRISS) to predict in-hospital mortality and disposition from the emergency department to higher acuity level of care including mortality (i.e. operating room, intensive care unit, morgue) versus standard floor admission using area under the curve (AUC) for receiver operating characteristic analysis. Second, we examined sensitivity of these scores at standard thresholds to determine if adjustments were needed to minimize under-triage (sensitivity ≥95%). TRISS was the best predictor of mortality in a cohort of n = 16,265 with AUC of 0.920 (95% CI: 0.911–0.929, p<0.0001), followed by MGAP with AUC of 0.900 (95% CI: 0.889–0.911, p<0.0001), and finally ISS and NISS (0.830 (95% CI: 0.814–0.847) and 0.827 (95% CI: 0.809–0.844) respectively). NISS was the best predictor of high acuity disposition with an AUC of 0.729 (95% CI: 0.721–0.736, p<0.0001), followed by ISS with AUC of 0.714 (95% CI: 0.707–0.722, p<0.0001), and finally TRISS and MGAP (0.673 (95% CI: 0.665–0.682) and 0.613 (95% CI: 0.604–0.621) respectively (p<0.0001). At historic thresholds, no scoring system displayed adequate sensitivity to predict mortality, with values ranging from 73% for ISS to 80% for NISS. In conclusion, in the reported study cohort, TRISS was the best predictor of mortality while NISS was the best predictor of high acuity disposition. We also stress updating scoring system thresholds to achieve ideal sensitivity, and investigating how scoring systems derived to predict mortality perform when predicting indicators of morbidity such as disposition from the emergency department.     

Paediatric pelvic fractures: 10 years experience in a trauma centre

Fractures of the skeletally immature pelvis are relatively rare. We performed a retrospective analysis of 10 years experience of paediatric pelvic fractures in patients admitted a Level 1 Trauma Centre in London.All patients evacuated to the Royal London Hospital by the Helicopter Emergency Medical Service (HEMS) were entered on a comprehensive trauma database. This contains data about the time, date and mechanism of injury; nature of the injuries sustained; Injury Severity Score (ISS), Revised Trauma Score (RTS) and Glasgow Coma Scale (GCS).Patients were studied to obtain the following information in addition to that available from the trauma database: management of the pelvic fracture, length of stay in the intensive care unit and on the ward, and clinical outcome.Pelvic fractures were classified as open type or closed type and stable or unstable type in the database. 44 patients with pelvic fracture were admitted via HEMS in 10 years and seven patients died in that group. The mean age was 11.4 (range 6-16) and 28 male and 16 female patients. Commonest mechanism of injury was pedestrian hit by the car and predominantly stable type of injury was found in skeletally immature pelvis.Commonest associated injury was long bone fracture followed by head injury.ISS, GCS and RTS were significantly (p < 0.05) altered in the non-survivors compared to the surviving group. All patients save one were treated conservatively allowing gradual mobilisation.In conclusion, pelvic fractures in children may themselves have a good long term outcome with conservative management, but they are an indicator of serious other bodily injuries which carry a high mortality.     

Management and outcome of open pelvic fractures: a retrospective study of 41 cases

Background

Open pelvic fractures occur uncommonly. Despite serious sequelae, they have been infrequently reviewed.

Methods

We conducted a retrospective review of all patients with open pelvic fractures in our department from January 2001 to April 2010.

Results

Forty-one patients (32 men, 9 women) with these injuries were identified. The average Injury Severity Score (ISS) was 31.4, with 80% of patients having a score ≥16. The average blood transfusion in the first 24 h was 17.2 units, and the average hospital stay was 60 days. Overall mortality was 24%(n = 10): 3 early deaths and 7 late deaths. Factors associated with overall mortality by univariate analysis were ISS, RTS, GCS, age, pelvic sepsis, Gustilo classification of soft-tissue injury, and Young classification of bony fracture. Factors associated with late mortality by univariate analysis were: ISS, RTS, pelvic sepsis, Gustilo classification of soft-tissue injury, and blood transfusion in the first 24 h. Moreover, multivariate analysis showed that only RTS was independently associated with both overall and late mortality.

Conclusion

Despite treatment advances, mortality rates remain high in patients with open pelvic fractures. The urogenital and/or intra-abdominal injuries are not associated with mortality. RTS ≤ 8 might be a predictor of poor outcome in open pelvic fractures patients. Open reduction and internal fixation might be used in those unstable pelvic fractures without gross contamination in the fracture region after extensive cleansing and lavage. More emphasis needs to be placed on this injury complex.     

Clinical characteristics of 1653 injured motorcyclists and factors that predictmortality from motorcycle crashes in Malaysia

PurposeAmongst the ASEAN countries, Malaysia has the highest road fatality risk (>15 fatalities per 100 000 population) with 50% of these fatalities involving motorcyclist. This contributes greatly to ward admissions and poses a significant burden to the general surgery services. From mild rib fractures to severe intra-abdominal exsanguinations, the spectrum of cases managed by surgeons resulting from motorcycle accidents is extensive. The objective of this study is to report the clinical characteristics and identify predictors of death in motorcycle traumatic injuries from a Malaysian trauma surgery centre.MethodsThis is a prospective cross-sectional study of all injured motorcyclists and pillion riders that were admitted to Hospital Sultanah Aminah and treated by the trauma surgery team from May 2011 to February 2015. Only injured motorcyclists and pillion riders were included in this study. Patient demography and predictors leading to mortality were identified. Significant predictors on univariate analysis were further analysed with multivariate analysis.ResultsWe included 1653 patients with a mean age of (35 ± 16.17) years that were treated for traumatic injuries due to motorcycle accidents. The mortality rate was 8.6% (142) with equal amount of motorcycle riders (788) and pillion riders (865) that were injured. Amongst the injured were male predominant (1 537) and majority of ethnic groups were the Malays (897) and Chinese (350). Severity of injury was reflected with a mean Revised Trauma Score (RTS) of 7.31 ± 1.29, New Injury Severity Score (NISS) of 19.84 ± 13.84 and Trauma and Injury Severity Score (TRISS) of 0.91 ± 0.15. Univariate and multivariate analysis revealed that age≥35, lower GCS, head injuries, chest injuries, liver injuries, and small bowel injuries were significant predictors of motorcycle trauma related deaths with p < 0.05. Higher trauma severity represented by NISS, RTS and TRISS scores was also significant for death with p < 0.05.ConclusionAge, lower GCS, presence of head, chest, liver, small bowel injuries and higher severity on NISS, RTS and TRISS scores are predictive of death in patients involved with motorcycle accidents. This information is important for prognostic mortality risk prevention and counselling.     

Current management and clinical outcomes for patients with haemorrhagic shock due to pelvic fracture in Korean regional trauma centres: A multi-institutional trial

IntroductionThe purpose of this study was to evaluate the current management and clinical outcomes in patients with hemodynamic instability due to pelvic fracture in three regional trauma centres in Korea.Patients and MethodsThree regional trauma centres participated in this study, and 157 patients who were admitted between January 2015 and December 2018 were enroled. Clinical data were collected prospectively as part of the Korean trauma data bank and were analysed retrospectively.ResultsThe mean age was 59.3 years, and 107 of 157 (68.2%) were male patients. The most common cause of injury was auto-pedestrian accidents, followed by falls and motor vehicle crashes. The mean admission systolic blood pressure and serum lactate level were 86.7 mmHg and 6.68 mmol/L, respectively. Twenty-four patients (15.3%) had a cardiac arrest in the emergency department (ED). The mean injury severity score was 39.1, and the mean probability of survival (Trauma and Injury Severity Score) was 48.7%. Sixty-six patients (42%) underwent pelvic angiography; 89 (56.7%), preperitoneal pelvic packing (PPP); 27 (17.2%), resuscitative endovascular balloon occlusion of the aorta (REBOA); 20 (12.7%), pelvic external fixation (PEF); and 13 patients (8.3%), internal iliac artery ligation (IIAL). Seventy-three patients (46.5%) died, including 40 (25.5%) who died from acute haemorrhage. With each year, the rates of REBOA and pelvic binder use continued to increase (p<0.001 and p = 0.005, respectively), but the number of PEF cases significantly decreased (p = 0.006). Age, initial lactate, low revised trauma score (RTS), combined abdominal injury, REBOA, and 4-hour requirement of packed red blood cells were independent risk factors associated with mortality, whereas during the period of 2017 and 2018, there were protective factors. The risk factors of mortality due to haemorrhage were cardiac arrest in the ED, RTS, combined chest and abdominal injuries, and IIAL.ConclusionsSince the establishment of regional trauma centres, the clinical outcomes of patients with hemodynamic instability due to pelvic fracture have significantly improved. As a haemostatic procedure for these patients, PEF has been used less frequently, while pelvic binder and REBOA showed significant increase in their use.     

Predictive factors of morbidity and mortality in grade IV and V liver trauma undergoing perihepatic packing: Single institution 14 years experience at European trauma centre

PurposeMajor liver trauma in polytraumatic patients accounts for significant morbidity and mortality. We aimed to assess prognostic factors for morbidity and mortality in patients with severe liver trauma undergoing perihepatic packing.MethodsProspectively collected records of 293 consecutive polytrauma patients with liver injury admitted at a level I trauma centre between 1996 and 2008 were reviewed. 39 patients with grade IV–V AAST liver injury and treated with peri-hepatic packing were identified and included for analysis. Univariate and multivariate analyses were performed to assess prognostic factors for morbidity and mortality.ResultsMean age of patients was 41 years. 34 patients were haemodynamically unstable at initial presentation. Ten of 39 patients were treated with angiographic embolization in addition to perihepatic packing. The overall mortality rate was 51.3%. Liver-related death occurred in 23.1%. Overall and liver-related morbidity rates were 90% and 28%, respectively. Glasgow Coma Scale (GCS), respiratory rate, packed red blood cells (PRBC) transfusion, pH and Base Excess (BE), Revised Trauma Score (RTS) and Trauma Injury Severity Score (TRISS), need for angiographic embolization as well as early OR and ICU admission were associated with significant decrease of early mortality.ConclusionsRevised Trauma Score, haemodynamic instability, blood pH and BE are important prognostic factors influencing morbidity and mortality in polytrauma patients with grade IV/V liver injury. Furthermore, fast and effective surgical damage control procedure with perihepatic packing, followed by early ICU admission is associated with lower complication rate and shorter ICU stays in this patient population.     

High-energy trauma patients with pelvic fractures: Management trends in Ontario,Canada

IntroductionAlthough fractures of the pelvic ring account for only 2–3% of all fractures, they are present in approximately 7–20% of patients with high-energy polytrauma. High-energy pelvic fractures are life-threatening injuries, with mortality estimates ranging from 6 to 35%. The purpose of this study was to examine trends in the incidence, diagnosis, treatment, and mortality rates of high-energy pelvic fractures in Ontario, Canada over a 10-year period.MethodsA cohort of 3915 patients who sustained a high-energy pelvic fracture in Ontario between 01 April 2005 and 31 March 2015 was identified using the Ontario Trauma Registry and administrative healthcare data linked by the Institute for Clinical Evaluative Science (ICES). Severely injured patients (defined as having an Injury Severity Score (ISS) of ≥16) with pelvic fractures following high-velocity mechanisms of injury were identified using applicable ICD-10 codes. Trends were assessed statistically using the Poisson and the Cochrane-Armitage tests for trend. Modified Poisson regression was used to model the adjusted risk ratio of mortality by pelvic fracture treatment.ResultsThe incidence of pelvic fracture remained constant at approximately 4.6 cases per 100,000 population annually between 2005 and 2011. From 2012, there was a decrease in patients with ISS ≥ 16 due to changes in the calculation of the ISS. The proportion of patients presenting with ISS > 50 increased from 8.2% to 14.1% (p = 0.008) over the study period. Automobile collisions or pedestrians struck by vehicles accounted for over half of injuries. Approximately 6% of patients underwent angioembolisation. Treatment with external fixation (15.5%–20.2%) or no surgical intervention (46.2%–61.3%) increased from 2005 to 2015. Mortality remained constant (11% at 30 days), and laparotomy was the only major intervention not associated with decreased risk of death.ConclusionsStable mortality despite increasing injury severity suggests that the quality of care provided to patients with high-energy pelvic fractures has improved over time. However, unchanged incidence suggests the need for ongoing efforts aimed towards injury prevention. ISS at presentation was the most significant predictor of mortality in this patient population.     

Early predictors of mortality in hemodynamically unstable pelvis fractures

OBJECTIVES: To determine reliable, early indicators of mortality and causes of death in hemodynamically unstable patients with pelvic ring injuries. DESIGN: This was a retrospective review of a prospective pelvic database. METHODS: In all, 187 hemodynamically unstable patients with pelvic fractures (persistent systolic blood pressure <90 mm Hg after receiving 2 L of intravenous crystalloid) admitted from April 1998 to November 2004 were included. Intervention was Level 1 Trauma Center-Pelvis Fracture standardized protocol. Main outcome measurements were: Injury Severity Score (ISS), Revised Trauma Score (RTS), age, blood transfusion, mortality, and multisystem organ failure (MOF). RESULTS: Group 1 (39 patients) did not survive their injury. Group 2 (148 patients) survived their injury. Fracture pattern (chi(2) = 9.1, P = 0.33), and treatment with angiography/embolization (chi(2) = 0.054, P = 0.84) were not predictive of death. Patients requiring more blood had a statistically significant higher mortality rate. The ISS (t = -5.62, P < 0.001), RTS (t = 6.10, P < 0.001), age >60 years old (chi(2) = 5.4, P = 0.03), and transfusion (t = -2.70, P = 0.010) were statistically significant independent predictors of mortality. A logistic regression analysis and receiver operating characteristic curves indicated that of these variables, RTS was the most predictive independent variable. However, a model including all four variables was superior at predicting mortality. Most deaths were attributed to exsanguination (74.4%) or MOF (17.9%). CONCLUSIONS: Predictors of mortality in pelvis fracture patients should be available early in the course of treatment in order to be useful. Death within 24 hours was most often a result of acute blood loss while death after 24 hours was most often caused by MOF. Improved survival will depend upon the evolution of early hemorrhage control and resuscitative strategies in patients at high mortality risk.     

Direct transport to the operating room for resuscitation of trauma patients

Two hundred forty trauma patients were transported directly from the scene to a specially designed operating room (OR) for resuscitation, bypassing the Emergency Department (ED). Triage criteria included a systolic BP less than or equal to 80 mm Hg, penetrating torso trauma, multiple long-bone fractures, major limb amputation, extensive soft-tissue wounds, severe maxillofacial hemorrhage, and witnessed arrest (WA). The mechanism of injury, transport mode, age, sex, admitting Revised Trauma Score (RTS), Injury Severity Score (ISS), Abbreviated Injury Scale (AIS), operative procedures, and outcome were recorded. Utilizing the current weights from the Major Trauma Outcome Study, the predicted survival (TRISS) of the total group and of several subgroups was compared to the observed survival. The mean ISS was 29.3. The survival rate for the total group was 70.4%. For the 58.7% who required major operative intervention, the mean time of OR arrival to anesthesia induction was 8.5 minutes. Non-arrested, hypotensive blunt trauma victims requiring therapeutic laparotomy had a higher than predicted survival observed survival = 0.75 versus average TRISS = 0.55; p less than 0.0002) and therefore appeared to benefit from this technique. Patients suffering witnessed arrest in the field did not benefit.     

Incorporating recent advances to make the TRISS approach universally available

BACKGROUND: The Trauma and Injury Severity Score (TRISS), used to garner predictions of survival from the Injury Severity Score (ISS), the Revised Trauma Score (RTS, for physiologic reserve), and age is difficult for many trauma facilities to compute because it requires 8 to 10 variables and ISS depends on the specialized Abbreviated Injury Scale (AIS) scale rather than the International Classification of Diseases scale (ICD-9). It has been shown that metrics describing a patient's worst injury (WORSTSRR) are a powerful predictor of survival (regardless of coding type, AIS versus ICD-9) and that the Glasgow Coma Scale (GCS) motor component contains the majority of the information found in the full GCS score. This study hypothesized that the TRISS approach could be made more predictive and efficient with fewer variables by incorporating these advances. METHODS: A total of 310,958 patients with nonmissing TRISS variables were subset from the National Trauma Data Bank (NTDB). Logistic regression was used to model mortality as a function of anatomic, physiologic and age variables. A traditional TRISS model was computed (with NTDB-derived coefficients) that uses ISS, RTS, age index, and mechanism to predict survival. Four smaller three- or four-variable models employed the ICD-9 WORSTSRR, the GCS motor component, and age (both continuously and dichotomously). Two of the four models also use mechanism. These models were compared using the concordance index (c-index, a measure of model discrimination) and the pseudo-R statistic (estimates proportion of variance explained). RESULTS: Each experimental model (two models with 3 variables and two models with 4 variables) have superior discrimination and explain more variance than the traditional TRISS model that employs 8-10 variables. CONCLUSIONS: Recent advances in anatomic and physiologic scoring markedly simplify TRISS-type models at no cost to prediction. This approach uses routinely available data, requires up to seven fewer terms, and predicts at least as well as the original TRISS. These findings could increase the availability of accurate trauma scoring tools to smaller trauma facilities.     

A study of mortality risk factors among trauma referrals to trauma center, Shiraz, Iran, 2017

Purpose: Trauma is well known as one of the main causes of death and disability throughout the world. Identifying the risk factors for mortality in trauma patients can significantly improve the quality of care and patient outcomes, as well as reducing mortality rates. Methods: In this retrospective cohort study, systematic randomization was used to select 849 patients referred to the main trauma center of south of Iran during a period of six months (February 2017-July 2017); the patients’ case files were evaluated in terms of demographic information, pre- and post-accident conditions, clinical conditions at the time of admission and finally, accident outcomes. A logistic regression model was used to analyze the role of factors affecting mortality among subjects. Results: Among subjects, 60.4% were in the age-group of 15-39 years. There was a 10.4% mortality rate among patients and motor-vehicle accidents were the most common mechanism of injury (66.7%). Aging led to increased risk of fatality in this study. For each unit increase in Glasgow coma scale (GCS), risk of death decreased by about 40% (odds ratio (OR) = 0.63, 95% confidence interval (CI): 0.59-0.67). For each unit increase in injury severe score (ISS), risk of death increased by 10% (OR = 1.11%, 95% CI: 1.08-1.14) and for each unit increase in trauma revised injury severity score (TRISS), there was 18% decrease in the risk of fatality (OR = 0.82, 95% CI: 0.71-0.88). Conclusion: The most common cause of trauma and the most common cause of death from trauma was traffic accidents. It was also found that an increase in the ISS index increases the risk of death in trauma patients, but the increase in GCS, revised trauma score (RTS) and TRISS indices reduces the risk of death in trauma patients. The TRISS indicator is better predictor of traumatic death than other indicators.     

Is preoperative period associated with severity and unexpected death of injured patients needing emergency trauma surgery?

Purpose

Early operative control of hemorrhage is the key to saving the lives of severe trauma patients. We investigated whether emergency room (ER) stay time [time from the ER to the operating room (OR)] is associated with trauma severity and unexpected trauma death [Trauma and Injury Severity Score (TRISS) method-based probability of survival (Ps) ≥0.5 but died] of injured patients needing emergency trauma surgery.

Methods

We performed a retrospective review of all trauma patients requiring emergency surgery and all patients with pelvic fractures requiring transcatheter arterial embolization at our hospital from January 2002 to December 2012. We analyzed the relationships among injury severity on ER admission [Injury Severity Score (ISS); Revised Trauma Score (RTS); Ps; Shock Index (SI); American Society of Anesthesiologists Physical Status (ASA-PS)]; mortality rate; unexpected trauma death rate; and ER stay time.

Results

ER stay times were significantly shorter for patients with life-threatening conditions [RTS <6.0 (p < 0.01), Ps <0.5 (p < 0.001), SI ≥1.0 (p < 0.01), and ASA-PS ≥4E (p < 0.001)]. In particular, ER stay time was inversely related to injury severity up to 120 min. The risk of unexpected trauma death significantly increased as ER stay time increased over 90 min (p < 0.01).

Conclusions

Our results suggest that all medical staff should work together effectively on high-risk patients in the ER, bringing them immediately to the OR according to their level of risk. If injured patients need emergency trauma surgery, ER stay times should be kept as short as possible to reduce unexpected trauma death.     

Prediction of intra-hospital mortality after severe trauma: which pre-hospital score is the most accurate?

PurposeComputing trauma scores in the field allows immediate severity assessment for appropriate triage. Two pre-hospital scores can be useful in this context: the Triage-Revised Trauma Score (T-RTS) and the Mechanism, Glasgow, Age and arterial Pressure (MGAP) score. The Trauma Revised Injury Severity Score (TRISS), not applicable in the pre-hospital setting, is the reference score to predict in-hospital mortality after severe trauma. The aim of this study was to compare T-RTS, MGAP and TRISS in a cohort of consecutive patients admitted in the Trauma system of the Northern French Alps(TRENAU).Materials and methodsFrom 2009 to 2011, 3260 patients with suspected severe trauma according to the Vittel criteria were included in the TRENAU registry. All data necessary to compute T-RTS, MGAP and TRISS were collected in patients admitted to one level-I, two level-II and ten level-III trauma centers. The primary endpoint was death from any cause during hospital stay. Discriminative power of each score to predict mortality was measured using receiver operating curve (ROC) analysis. To test the relevancy of each score for triage, we also tested their sensitivity at usual cut-offs. We expected a sensitivity higher than 95% to limit undertriage.ResultsThe TRISS score showed the highest area under the ROC curve (0.95 [CI 95% 0.94–0.97], p < 0.01). Pre-hospital MGAP score had significantly higher AUC compared to T-RTS (0.93 [CI 95% 0.91–0.95] vs 0.86 [CI 95% 0.83–0.89], respectively, p < 0.01). MGAP score < 23 had a sensitivity of 88% to detect mortality. Sensitivities of T-RTS < 12 and TRISS < 0.91 were 79% and 87%, respectively.Discussion/conclusionPre-hospital calculation of the MGAP score appeared superior to T-RTS score in predicting intra-hospital mortality in a cohort of trauma patients. Although TRISS had the highest AUC, this score can only be available after hospital admission. These findings suggest that the MGAP score could be of interest in the pre-hospital setting to assess patients’ severity. However, its lack of sensitivity indicates that MGAP should not replace the decision scheme to direct the most severe patients to level-I trauma center.     

Sudden survival improvement in critical neurotrauma: An exploratory analysis using a stratified statistical process control technique

BackgroundOutcome after trauma depends on patient characteristics, quality of care, and random events. The TRISS model predicts probability of survival (Ps) adjusted for Injury Severity Score (ISS), Revised Trauma Score (RTS), mechanism of injury, and age. Quality of care is often evaluated by calculating the number of “excess” survivors, year by year. In contrast, the Variable Life-Adjusted Display (VLAD) technique allows rapid detection of altered survival. VLAD adjusts each death or survival by the patient's risk status and graphically displays accumulated number of unexpected survivors over time. We evaluated outcome changes and their time relation to trauma service improvements.MethodsObservational, retrospective study of the total 2001–2011 trauma population from a Level I trauma centre. Outcome was 30-day survival. Ps was calculated with the TRISS model, 2005 coefficients. VLAD graphs were created for the entire population and for subpopulations stratified by ISS level, ISS body region (Head/Neck, Face, Chest, Abdomen/Pelvic contents, Extremities/Pelvic girdle, External), and maximum Abbreviated Injury Scale (maxAIS) score in each region. Piecewise linear regression identified VLAD graph breakpoints.Results12,191 consecutive trauma patients (median age 35 years, 72% males, 91% blunt injury, 41% ISS ≥ 16) formed the dataset. Their VLAD graph indicated performance equal to TRISS predicted survival until a sudden improvement in late 2004. From then survival remained improved but unchanged through 2011. Total number of excess survivors was 141. Inspection of subgroup VLAD graphs showed that the increased survival mainly occurred in patients having at least one Head/Neck AIS 5 injury. The effect was present in both isolated and multitraumatised maxAIS 5 Head/Neck trauma. The remaining trauma population showed unchanged survival, superior to TRISS predicted, throughout the study period.Important general and neurotrauma-targeted improvements in our trauma service could underlie our findings: A formalised trauma service, damage control resuscitation protocols, structured training, increased helicopter transfer capacity, consultant-based neurosurgical assessment, a doubling of emergency neurosurgical procedures, and improved neurointensive care.ConclusionsStratified VLAD enables continuous, high-resolution system analysis. We encourage trauma centres to explore their data and to monitor future system changes.