Impact of lower level trauma center proliferation on patient outcomes.

Background: In attempt to increase trauma system coverage, our state added 21 level 3 (L3TC) and level 4 trauma centers (L4TC) to the existing 7 level 1 trauma centers from 2008 to 2012. This study examined the impact of adding these lower-level trauma centers (LLTC) on patient outcomes. Methods: Patients in the state trauma registry age ≥ 15 from 2007 to 2012 were queried for demographic, injury, and outcome variables. These were compared between 2007 (PRE) and 2008-2012 (POST) cohorts. Multivariate logistic regression was performed to assess independent predictors of mortality. Subgroup analyses were performed for Injury Severity Score (ISS) ≥15, age ≥ 65, and trauma mechanisms. Results: 143,919 adults were evaluated. POST had significantly more female, geriatric, and blunt traumas (all p < 0.001). ISS was similar. Interfacility transfers increased by 10.2 %. Overall mortality decreased by 0.6 % (p < 0.001). Multivariate logistic regression analysis showed that being in POST was not associated with survival (OR: 1.07, CI: 0.96-1.18, p = 0.227). Subgroup analyses showed small reductions in mortality, except for geriatric patients. After adjusting for covariates, POST was not associated with survival in any subgroup, and trended toward being a predictor for death in penetrating traumas (OR: 1.23; 1.00-1.53, p = 0.059). Conclusions: Unregulated proliferation of LLTCs was associated with increased interfacility transfers without significant increase in trauma patients treated. LLTC proliferation was not an independent protector against mortality in the overall cohort and may worsen mortality for penetrating trauma patients. Rather than simply increasing the number of LLTCs within a region, perhaps more planned approaches are needed. Key message: This is, to our knowledge, the first work to study the effect of rapid lower level trauma center proliferation on patient outcomes. The findings of our analysis have implications for strategic planning of future trauma systems.

A Real-Time Automated Machine Learning Algorithm for Predicting Mortality in Trauma Patients: Survey Says it's Ready for Prime-Time.

BACKGROUND: Though artificial intelligence ("AI") has been increasingly applied to patient care, many of these predictive models are retrospective and not readily available for real-time decision-making. This survey-based study aims to evaluate implementation of a new, validated mortality risk calculator (Parkland Trauma Index of Mortality, "PTIM") embedded in our electronic healthrecord ("EHR") that calculates hourly predictions of mortality with high sensitivity and specificity. METHODS: This is a prospective, survey-based study performed at a level 1 trauma center. An anonymous survey was sent to surgical providers and regarding PTIM implementation. The PTIM score evaluates 23 variables including Glasgow Coma Score (GCS), vital signs, and laboratory data. RESULTS: Of the 40 completed surveys, 35 reported using PTIM in decision-making. Prior to reviewing PTIM, providers identified perceived top 3 predictors of mortality, including GCS (22/38, 58%), age (18/35, 47%), and maximum heart rate (17/35, 45%). Most providers reported the PTIM assisted their treatment decisions (27/35, 77%) and timing of operative intervention (23/35, 66%). Many providers agreed that PTIM integrated into rounds and patient assessment (22/36, 61%) and that it improved efficiency in assessing patients' potential mortality (21/36, 58%). CONCLUSIONS: Artificial intelligence algorithms are mostly retrospective and lag in real-time prediction of mortality. To our knowledge, this is the first real-time, automated algorithm predicting mortality in trauma patients. In this small survey-based study, we found PTIM assists in decision-making, timing of intervention, and improves accuracy in assessing mortality. Next steps include evaluating the short- and long-term impact on patient outcomes.

Admission to a Verified Pediatric Trauma Center is Associated With Improved Outcomes in Severely Injured Children.

BACKGROUND: Previous studies have shown improved survival for severely injured adult patients treated at American College of Surgeons verified level I/II trauma centers compared to level III and undesignated centers. However, this relationship has not been well established in pediatric trauma centers (PTCs). We hypothesize that severely injured children will have lower mortality at verified level I/II PTCs compared to centers without PTC verification. METHODS: All patients 1-15 years of age with ISS >15 in the 2017-2019 American College of Surgeons Trauma Quality Programs (ACS TQP) dataset were reviewed. Patients with pre-hospital cardiac arrest, burns, and those transferred out for ongoing inpatient care were excluded. Logistic regression models were used to assess the effects of pediatric trauma center verification on mortality. RESULTS: 16,301 patients were identified (64 % male, median ISS 21 [17-27]), and 60 % were admitted to verified PTCs. Overall mortality was 6.0 %. Mortality at centers with PTC verification was 5.1 % versus 7.3 % at centers without PTC verification (p < 0.001). After controlling for injury mechanism, sex, age, pediatric-adjusted shock index (SIPA), ISS, arrival via interhospital transfer, and adult trauma center verification, pediatric level I/II trauma center designation was independently associated with decreased mortality (OR 0.72, 95 % CI 0.61-0.85). CONCLUSIONS: Treatment at ACS-verified pediatric trauma centers is associated with improved survival in critically injured children. These findings highlight the importance of PTC verification in optimizing outcomes for severely injured pediatric patients and should influence trauma center apportionment and prehospital triage. LEVEL OF EVIDENCE: Level IV - Retrospective review of national database.

Mild traumatic brain injury: not always a mild injury.

PURPOSE: In general, risk of mortality after trauma correlates with injury severity. Despite arriving in relatively stable clinical condition, however, some patients are at risk of death following mild traumatic brain injury (TBI). The study objective was delineation of patients who die in-hospital following mild isolated TBI in order to inform Emergency Department (ED) disposition and care discussions with patients and families. METHODS: In this retrospective cohort study, patients from the National Trauma Data Bank (NTDB) (2007-2018) were included if they were injured by blunt trauma and sustained a mild TBI (defined as Head Abbreviated Injury Scale [AIS] score of 1 or 2 and arrival Glasgow Coma Scale [GCS] score of 13-15). Exclusions were severe associated injuries (extracranial AIS > 2); transfers; and missing data. Patients were defined by in-hospital mortality: Survivors vs. Mortalities. Demographics, clinical/injury data, and the outcomes were collected and compared with univariate analysis. Multivariate analysis established independent factors associated with in-hospital mortality following mild TBI. RESULTS: In total, 932,107 patients (10% of NTDB population) met study criteria: 928,542 (99.6%) Survivors and 3,565 (0.4%) Mortalities. In general, comorbidities (including home anticoagulation, cardiac disease, and diabetes mellitus) were significantly more common among patients who died (p < 0.001), although drug and alcohol intoxication on arrival were more common among Survivors (16% vs. 7%, p < 0.001; 13% vs. 10%, p < 0.001). In terms of insurance status, Private/Commercial insurance was more common among Survivors (39% vs. 20%, p < 0.001) while Governmental Insurance was more common among Mortalities (55% vs. 36%, p < 0.001). On multivariate analysis, age ≥ 65 was most strongly associated with death (OR 26.43, p < 0.001), followed by ED intubation (OR 10.08, p < 0.001), admission hypotension (OR 4.55, p < 0.001), and comorbidities, particularly end-stage renal disease (ESRD) (OR 3.03, p < 0.001) and immunosuppression (OR 2.18, p < 0.001). CONCLUSIONS: Survivors differed substantially from Mortalities after mild TBI in terms of comorbidities, intoxicants, and insurance status. Independent variables most strongly associated with in-hospital death following mild head injury included age ≥ 65, intubation in the ED, admission hypotension, and comorbidities (particularly ESRD and immunosuppression). Increased clinical vigilance, including a mandatory period of clinical observation, for patients with these risk factors should be considered to optimize outcomes and potentially mitigate death after mild TBI.

Evaluation of factors affecting prognosis and mortality in geriatric patients presented to the emergency service with head trauma.

Objective: Head trauma, a cause of serious morbidity and mortality in general, is among the most common causes of emergency department visits in geriatric patients. In this context, this study investigated the factors affecting prognosis and mortality in geriatric patients presenting with head trauma at the emergency department. Methods: This retrospective cohort study included 842 patients aged 65 years and above who presented with head trauma to the emergency department between January 1, 2019, and December 31, 2019. Demographic and clinical data of the 622 patients included in the study were analyzed. Results: A total of 622 geriatric patients with head trauma were included in this study. Of these, 54.2% (337/622) were men, and 45.8% (285/622) were women. The mean age of the patients was 75.3 ± 7.5 years. Antihypertensives were the most common medications taken by the patients. Subdural hematoma is the most frequently observed cranial pathology. A simple fall is the most observed mechanism for trauma. A total of 17.5% (109/622) of the patients were admitted to the hospital. Of these patients, 8.4% (52/622) were transferred to the intensive care unit and 2.6% (16/622) of the patients died. Conclusion: Mortality would be expected to be higher in elderly patients with head trauma, hypotension, or high lactate levels. The need for intensive care unit transfer was higher in patients with coronary artery disease. The mortality rate of the patients increased with an increasing length of hospital stay.

Injury severity score as a predictor of mortality in patients with abdominal trauma at a tertiary Nigerian hospital.

Background: Abdominal trauma is a major cause of morbidity and mortality in low-and middle-income countries. Typical patients present late and very sick with early recognition key to improving outcome. There is a paucity of trauma data in this environment and trauma scoring systems which have been validated in the developed world are yet to find widespread use here. Aim: This study aimed at evaluating role of injury severity score (ISS) in predicting mortality. Patients and Methods: This is a retrospective observational study of patients with abdominal trauma who presented at the University of Ilorin Teaching Hospital from 2013 to 2019. Records were identified and data were extracted and analyzed using Statistical package for social sciences 23. Results: A total of 87 patients were included in the study. There were 73 males and 14 females. The mean overall ISS in this study was 16.06 ± 7.9. Concerning morbidity, the area under the receiver operating characteristic curve in predicting morbidity was 0.843 (95% confidence interval 0.737-0.928). ISS had a strong sensitivity of 90% and specificity 55% at a cut-off of 14.50. Also, the area under the receiver operating characteristic curve in predicting mortality was 0.746 (95% confidence interval 0.588-0.908) and at a cut-off of 16.50; ISS had a specificity of 80% and sensitivity of 60%. The mean ISS of patients with mortality was 22.60 ± 10.5 while the survivors had a mean ISS of 14.7 ± 6.5 (P <.001). The mean ISS for patients who had morbidity was 22.8 ± 8.1 while those without morbidity had a mean ISS of 13.1 ± 5.7 (P <.05). Conclusion: ISS was a good predictor of morbidity and mortality in abdominal trauma in patients in this study. A prospective study with standardized abdominal imaging would be needed to further validate this scoring tool.

Can Pre-Hospital Medical Management Predict In-Hospital Mortality in Trauma?

The current literature demonstrates an association between both size and presence of TBI and its effects on mortality; however, it does not readily address the morbidity and associated functional outcomes of those who survive. We hypothesize that the likelihood of discharge to home decreases with advancement of age in the presence of TBI. This is a single-center study of trauma registry data, inclusive years July 1, 2016, to October 31, 2021. The inclusion criteria was based upon age (≥40 years), and ICD10 diagnosis of a TBI. Disposition to home without services was the dependent variable. 2031 patients were included in the analysis. We hypothesized correctly that the likelihood of discharge to home decreases (by 6%) with advancement of age (per year) in the presence of intracranial hemorrhage.

Predicting Early Versus Late In-Hospital Mortality in the Trauma Population.

This study aimed to evaluate non-survivors who were admitted to a level I trauma center but later died, in terms of predicting who would expire early vs late. This is a single-center study of Trauma Registry data, from July 3, 2016, to February 24, 2022. The inclusion criteria were based upon age (≥18 years) and in-hospital mortality. 546 patients (mean age 58) were included in the analysis. Trauma patients who may experience an earlier death were those with increasing injury severity scores, activation of massive transfusion protocol, comorbid advanced directive limiting care, COPD, personality disorder, and ED death location. Patients were more likely to experience later in-hospital mortality, including those with increasing ICU stays, and comorbid dementia.

A Contemporary Analysis of the Effect of Trauma Center Verification Level on Mortality in Severe Injury.

BACKGROUND: Literature demonstrates increased mortality for the severely injured at a Level II vs. Level I center. Our objective is to reevaluate the impact of trauma center verification level on mortality for patients with an Injury Severity Score (ISS) > 15 utilizing more contemporary data. We hypothesize that there would be no mortality discrepancy. STUDY DESIGN: Utilizing the ACS Trauma Quality Program Participant Use File admission year 2017, we identified severely injured (ISS >15) adult (age >15 years) patients treated at an ACS-verified Level I or Level II center. We excluded patients who underwent interfacility transfer. Logistic regression was performed to determine adjusted associations with mortality. RESULTS: There were 63 518 patients included, where 43 680 (68.8%) were treated at a Level I center and 19 838 (31.2%) at a Level II. Male gender (70.1%) and blunt injuries (92.0%) predominated. Level I admissions had a higher mean ISS [23.8 (±8.5) vs. 22.9 (±7.8), <.001], while Level II patients were older [mean age (y) 52.3 (±21.6) vs. 48.6 (±21.0), <.001] with multiple comorbidities (37.7% vs. 34.9%, <.001). Adjusted mortality between Level I and II centers was similar (12.0% vs. 11.8%, .570). CONCLUSIONS: Despite previous findings, mortality outcomes are similar for severely injured patients treated at a Level I vs. Level II center. We theorize that this relates to mandated Level II resourcing as defined by an updated American College of Surgeons verification process.

Polytrauma scoring revisited: prognostic validity and usability in daily clinical practice.

PURPOSE: Scores are widely used for the assessment of injury severity and therapy guidance in severely injured patients. They differ vastly regarding complexity, applicability, and prognostic accuracy. The objective of this study was to compare well-established with more recently developed trauma scores as well as intensive care unit (ICU) scores. METHODS: Retrospective analysis of severely injured patients treated at a level I trauma centre from 2010 to 2015. INCLUSION CRITERIA: Age ≥ 18 years, Injury Severity Score ≥ 16 and ICU treatment. Primary endpoint was in-hospital mortality. Several scores (ISS, APACHE II, RTS, Marshall Score, SOFA, NISS, RISC II, EAC and PTGS) were assessed to determine their predictive quality for mortality. Statistical analysis included correlation analysis and receiver operating characteristic (ROC). RESULTS: 444 patients were included. 71.8% were males, mean age was 51 ± 20.26 years. 97.4% sustained a blunt trauma. The area under the ROC curve (AUROC) revealed RISC II (0.92) as strongest predictor regarding mortality, followed by APACHE II (0.81), Marshall score (0.69), SOFA (0.70), RTS (0.66), NISS (0.62), PTGS (0.61) and EAC (0.60). ISS did not reach statistical significance. CONCLUSIONS: RISC II provided the strongest predictive capability for mortality. In comparison, more simple scores focusing on injury pattern (ISS, NISS), physiological abnormalities (RTS, EAC), or a combination of both (PTGS) only provided inferior mortality prediction. Established ICU scores like APACHE II, SOFA and Marshall score were proven to be helpful tools in severely injured trauma patients.

Evaluation of the Revised Trauma Score, MGAP, and GAP scoring systems in predicting mortality of adult trauma patients in a low-resource setting.

BACKGROUND: Numerous trauma scoring systems have been developed in an attempt to accurately and efficiently predict the prognosis of emergent trauma cases. However, it has been questioned as to whether the accuracy and pragmatism of such systems still hold in lower-resource settings that exist in many hospitals in lower- and middle-income countries (LMICs). In this study, it was hypothesized that the physiologically-based Revised Trauma Score (RTS), Mechanism/Glasgow Coma Scale/Age/Pressure (MGAP) score, and Glasgow Coma Scale/Age/Pressure (GAP) score would be effective at predicting mortality outcomes using clinical data at presentation in a representative LMIC hospital in Upper Egypt. METHODS: This was a retrospective analysis of the medical records of trauma patients at Beni-Suef University Hospital. Medical records of all trauma patients admitted to the hospital over the 8-month period from January to August 2016 were reviewed. For each case, the RTS, MGAP, and GAP scores were calculated using clinical data at presentation, and mortality prediction was correlated to the actual in-hospital outcome. RESULTS: The Area Under the Receiver Operating Characteristic (AUROC) was calculated to be 0.879, 0.890, and 0.881 for the MGAP, GAP, and RTS respectively, with all three scores showing good discriminatory ability. With regards to prevalence-dependent statistics, all three scores demonstrated efficacy in ruling out mortality upon presentation with negative predictive values > 95%, while the MGAP score best captured the mortality subgroup with a sensitivity of 94%. Adjustment of cutoff scores showed a steep trade-off between optimizing the positive predictive values versus the sensitivities. CONCLUSION: The RTS, MGAP, and GAP all showed good discriminatory capabilities per AUROC. Given the relative simplicity and potentially added clinical benefit in capturing critically ill patients, the MGAP score should be further studied for stratifying risk of incoming trauma patients to the emergency department, allowing for more efficacious triage of patients in lower-resource healthcare settings.

Are home environment injuries more fatal in children and the elderly?

INTRODUCTION: 'In-home injuries' are those that occur within the house or its immediate surroundings. The literature on the prevalence and magnitude of home injuries is sparse. This study was designed to characterize the mechanisms of 'in-home' injuries and compare their outcomes with 'outside home injuries'. MATERIALS AND METHODS: The Australia-India Trauma Systems Collaboration (AITSC) Project created a multicentric registry consisting of trauma patients admitted at four urban tertiary care hospitals in India from April 2016 to March 2018. This registry data was analysed for this study. All admitted patients except for dead on arrival were included. Patients were categorised into 'in-home' and 'outside home' cohorts based on the place where the trauma occurred. The outcome measures were 30 day in-hospital mortality and the length of hospital stay. Two subgroup analyses were performed, the first comprised pediatric patients (<15 years) and the second elderly patients >64 years). RESULTS: Among 9354 patients in the AITSC data registry, 8398 patients were included in the study. Out of these, 29 percent were in-home injuries, whereas the rest occurred outside home. The 30 day in-hospital mortality was 10.6 percent in the 'in-home' cohort, as compared to 13.7 percent in the 'outside home' cohort. This difference although significant on univariable analysis (p <0.01), there was no significant difference on multivariable regression analysis, after adjusting for age and injury severity score (OR = 0.88, 95% CI = 0.73-1.04; p = 0.15). The length of hospital stay was shorter in the home injuries group (median = 5 days; IQR = 3-12 days) compared to the outside-home group (median = 7 days; IQR = 4-14 days) (p < 0.01). In the pediatric and the elderly, on multivariable regression analysis, in-home injuries were associated with higher mortality than outside home injuries. CONCLUSION: There was no significant difference in the 30 day in-hospital mortality amongst admitted trauma patients sustaining injuries at home or outside the home. However, in pediatric and elderly patients the chances of mortality was significantly higher when injured at home.

The burden of facial trauma on mortality in patients with multiple injuries: A single-center analysis of 1862 motorcycle accidents.

The study aims to assess the influence on mortality of motorcycle road accidents, caused by injuries to the head, chest, abdomen, face, skin, pelvis and extremities. Road motorcycle accidents consecutively admitted to Level I Trauma Center were retrospectively analyzed. Each body site involvement was classified through Abbreviated Injury Score (AIS-98), and Comprehensive Facial Injury (CFI) score; Injury Severity Score (ISS) was also calculated. The data collected were subjected to a descriptive analysis and inferential statistic, with uni- and multivariate analysis; mortality was the main outcome examined. 1862 patients were studied. Limbs (53.9%) and Head (53.8%) are the most involved body site, facial trauma regards 19.4% of the sample. Only 4.4% of Facial injuries occurred as isolated, 71.6% were associated to Head involvement. The overall mortality was 4.6% and 80.0% of dead patients were affected by Head injury. Multivariate analysis shows that head (OR=3.06, p <0.0001), thoracic (OR=1.82, p <0.0001) and abdominal trauma (OR=1.41, p =0.019) are predicting the risk of death. Facial trauma does not directly influence mortality and, however severe and distracting it may be, becomes secondary to the management of frequently associated brain injuries. Severity scores targeted to the risk of death, such as AIS and AIS-derived, are ineffective in describing the true characteristics of facial injuries. The CFI score has been shown to predict the weight of surgical treatment and the outcome of the hospital stay, therefore its use is recommended.

A Retrospective Cohort Study on Health Insurance: Related Disparities in Trauma Patients After Penetrating Injuries: 2000-2014.

OBJECTIVE: Although the lack of health insurance has been linked to poor health outcomes in several diseases, this relationship is still understudied in trauma. There exist differences between the Puerto Rico health care system and that of the United States. We therefore aimed to assess mortality disparities related to insurance coverage at the Puerto Rico Trauma Hospital (PRTH). METHODS: A retrospective cohort study of patients who sustained penetrating injuries (presenting at the PRTH from 2000 to 2014) was performed. Individuals were classified by their insurance status. Study variables comprised demographics, clinical characteristics and outcomes. A logistic regression analysis was performed to identify the association between health insurance status and risk of dying. RESULTS: Patients with public health insurance experienced more complications than did individuals who had private health insurance (PrHI) or who were uninsured. This group had longer durations of mechanical ventilation and spent more time in the hospital than did patients who had PrHI or who were uninsured. However, uninsured patients with gunshot wounds were 54% (adjusted odds ratio = 1.54; 95% CI: 1.01, 2.36) more likely to die than were their counterparts who had PrHI. CONCLUSION: Our study suggests that having health insurance could reduce a given patient mortality risk in trauma settings. More studies with larger samples are warranted to confirm these findings. If these findings hold true, then providing equitable access to health services for the entire population could prevent patients suffering trauma from having premature, preventable deaths.

Associations of On-arrival Vital Signs with 24-hour In-hospital Mortality in Adult Trauma Patients Admitted to Four Public University Hospitals in Urban India: A Prospective Multi-Centre Cohort Study.

INTRODUCTION: In India, more than a million people die annually due to injuries. Identifying the patients at risk of early mortality (within 24 hour of hospital arrival) is essential for triage. A bilateral Government Australia-India Trauma System Collaboration generated a trauma registry in the context of India, which yielded a cohort of trauma patients for systematic observation and interventions. The aim of this study was to determine the independent association of on-arrival vital signs and Glasgow Coma Score (GCS) with 24-hour mortality among adult trauma patients admitted at four university public hospitals in urban India. METHODS: We performed an analysis of a prospective multicentre observational study of trauma patients across four urban public university hospitals in India, between April 2016 and February 2018. The primary outcome was 24-hour in-hospital mortality. We used logistic regression to determine mutually independent associations of the vital signs and GCS with 24-hour mortality. RESULTS: A total of 7497 adult patients (18 years and above) were included. The 24-hour mortality was 1.9%. In univariable logistic regression, Glasgow Coma Score (GCS) and the vital signs systolic blood pressure (SBP), heart rate (HR), respiratory rate (RR) and peripheral capillary oxygen saturation (SpO2) had statistically significant associations with 24-hour mortality. These relationships held in multivariable analysis with hypotension (SBP<90mm Hg), tachycardia (HR>100bpm) and bradycardia (HR<60bpm), hypoxia (SpO2<90%), Tachypnoea (RR>20brpm) and severe (3-8) and moderate (9-12) GCS having strong association with 24-hour mortality. Notably, the patients with missing values for SBP, HR and RR also demonstrated higher odds of 24-hour mortality. The Injury Severity Scores (ISS) did not corelate with 24-hour mortality. CONCLUSION: The routinely measured GCS and vital signs including SBP, HR, SpO2 and RR are independently associated with 24-hour in-hospital mortality in the context of university hospitals of urban India. These easily measured parameters in the emergency setting may help improve decision-making and guide further management in the trauma victims. A poor short-term prognosis was also observed in patients in whom these physiological variables were not recorded.

Association between traumatic brain injury (TBI) patterns and mortality: a retrospective case-control study.

Background: Low and medium income countries (LMICs) such as Kenya experience nearly three times more cases of traumatic brain injury (TBI) compared to high income countries (HICs). This is primarily exacerbated by weak health systems especially at the pre-hospital care level. Generating local empirical evidence on TBI patterns and its influence on patient mortality outcomes is fundamental in informing the design of trauma-specific emergency medical service (EMS) interventions at the pre-hospital care level. This study determines the influence of TBI patterns and mortality. Methods: This was a case-control study with a sample of 316 TBI patients. Data was abstracted from medical records for the period of January 2017 to March 2019 in three tertiary trauma care facilities in Kenya. Logistic regression was used to assess influence of trauma patterns on TBI mortality, controlling for patient characteristics and other potential confounders. Results: The majority of patients were aged below 40 years (73%) and were male (85%). Road traffic injuries (RTIs) comprised 58% of all forms of trauma. Blunt trauma comprised 71% of the injuries. Trauma mechanism was the only trauma pattern significantly associated with TBI mortality. The risk of dying for patients sustaining RTIs was 2.83 times more likely compared to non-RTI patients [odds ratio (OR) 2.83, 95% confidence interval (CI) 1.62-4.93, p=0.001]. The type of transfer to hospital was also significantly associated with mortality outcome, with a public hospital having a two times higher risk of death compared to a private hospital [OR 2.18 95%CI 1.21-3.94, p<0.009]. Conclusion: Trauma mechanism (RTI vs non-RTI) and type of tertiary facility patients are transferred to (public vs private) are key factors influencing TBI mortality burden. Strengthening local EMS trauma response systems targeting RTIs augmented by adequately resourced and equipped public facilities to provide quality lifesaving interventions can reduce the burden of TBIs.

Massive transfusion protocol in adult trauma population.

BACKGROUND: Acute blood loss in trauma requires quick identification and action to restore circulating volume and save the patient. Massive transfusion protocols (MTPs) have become standard at Trauma Centers, in order to rapidly deliver blood products to bleeding patients. This literature review presents current standards of transfusion ratios, as well as insights into adjuncts during massive transfusions. METHODS: PubMED was searched for articles from 2005 to 2020 on MTPs, the article were assessed for single vs. multi-institutional, mechanism of injury, type of MTP, timing in which blood products should be administered, timing of delivery of blood products to trauma bay, pre-hospital treatment and adjuncts, and outcomes. RESULTS: Eleven studies addressed transfusion ratios. Seven studies looked at timing of blood products. Nine studies addressed MTP pre-hospital treatment and adjuncts. Prior to 2015, studies supported the benefits of a balanced transfusion ratio, which was then confirmed by the PROPPR randomized controlled trial. The shorter the time to blood product delivery the better the outcomes. New advances in technology have allowed us to measure different patterns of coagulation, allowing more individualized approaches to the bleeding patient. CONCLUSION: Current massive transfusion protocols should utilize between 1:1:1 and 1:1:2 ratios of the 3 main products; plasma, platelets, and red blood cells. Massive transfusion protocols are effective in decreasing mortality. Better resuscitation efforts were seen when blood products were readily available in the trauma bay when the patient arrived and the faster the replacement of blood, the better the outcomes.

Optimal Prospective Predictors of Mortality in Austere Environments.

BACKGROUND: Prospective predictors of trauma-related outcomes have been validated to guide management in low-resource settings. The primary objective of this study was to determine the optimal prospective prediction method for mortality within combat and humanitarian trauma. MATERIALS AND METHODS: Retrospective review of the Department of Defense Trauma Registry from 2008 to 2016 was performed for adult patients. Areas under receiver operating characteristic curves (AUROCs) were calculated to assess the predictability of shock index (SI), reverse SI × Glasgow Coma Scale (rSIG), SI × Glasgow Coma Scale (SIG), Revised Trauma Score, and Trauma and Injury Severity Score (TRISS) on mortality at point of injury, arrival in emergency department (ED), and the difference in vital signs between those time points. RESULTS: A total of 22,218 patients were included. Overall, 97.1% were male, median age range 25-29 y, Injury Severity Score 9.4 ± 0.07, with predominantly penetrating injuries (58.1%), and mortality of 3.4%. ED vitals yielded higher predictability of mortality for all tests based on higher AUROCs. TRISS and rSIG demonstrated the highest AUROCs (0.955 and 0.923, respectively). The optimal cutoff value for rSIG was 14.1 (sensitivity 89% and specificity 87%). rSIG values <14.1 were significantly associated with mortality (P < 0.01; odds ratio = 5.901). CONCLUSIONS: Initial ED vital signs represented a better predictor of early mortality compared with point of injury vital signs for all predictive tools assessed. TRISS and rSIG proved to be most predictive of mortality. However, of the prospective tools assessed, rSIG may be optimal scoring tool because of its ease of calculation and its increased ability to predict mortality.

Diurnal variation in trauma mortality in sub-Saharan Africa: A proxy for health care system maturity.

BACKGROUND: Globally, traumatic injury is a leading cause of morbidity and mortality in low-income countries. However, trauma centers in these environments have limited resources to manage complex trauma with minimal staffing and diagnostic tools. These limitations may be exacerbated at night. We hypothesized that there is an increase in trauma-associated mortality for patients presenting during nighttime hours. METHODS: We conducted a retrospective analysis of all patients recorded in the Kamuzu Central Hospital trauma registry in Lilongwe, Malawi from January 2012 through December 2016. Nighttime was defined as 18:00 until 5:59. Patients brought in dead were excluded. A modified Poisson regression model was used to calculate the relationship between presentation at night and mortality, adjusted for significant confounders. RESULTS: 74,500 patients were included. During the day, crude mortality was 0.8% compared to 1.4% at night (p < 0.001). The risk ratio of mortality following night time presentation compared to day was 1.90 (95% CI 1.48, 2.42) when adjusted for injury severity, assessed by the Malawi Trauma Score (MTS), and transfer status. When stratified by the year of traumatic injury, the risk ratio of death decreased each year from 2012-2014 but increased in 2015. There was no difference in 2016. CONCLUSIONS: We report the first description of diurnal variation in trauma-associated mortality in sub-Saharan Africa. Injured patients who presented at night had nearly twice the adjusted risk ratio of death compared to patients that presented during the daytime although there were yearly differences. Diurnal variation in trauma-associated mortality is a simple but important indicator of the maturity of a trauma system and should be tracked for health care system improvement.

Mortality Profile of Geriatric Trauma at a Level 1 Trauma Center.

BACKGROUND: The management of geriatric trauma patients is challenging because of the altered physiology and co-existent medical conditions. To study the in-hospital mortality profile of geriatric trauma victims and the parameters associated with the mortality, we conducted this retrospective analysis. METHODS: In a retrospective review of geriatric trauma admissions (above 60 years) over a 3-year period, we studied the association of age, gender, comorbidities, mechanism of injury (MOI), Glasgow coma score (GCS), injury severity score (ISS), systolic blood pressure, and hemoglobin (Hb) level on admission with hospital mortality. Univariate and Multivariable logistic regression was used to estimate odds and find independent associated parameters. P < 0.05 was considered as statistically significant. RESULTS: Out of 881 patients, 208 (23.6%) patients died in hospital. The most common MOI was fall (53.3%) followed by motor vehicle collision (31.1%) and other mechanisms (14.5%). The in-hospital mortality was significantly higher and adjusted odds ratio (OR) for mortality were higher for male gender (2.11 [1.04-4.26]), higher ISS (6.75 [2.07-21.95] for ISS >30), low GCS (<8) (4.6 [2.35-8.97]), low Hb (<9) (1.68 [0.79-3.55]), hypotension on admission (32.42 [10.89-96.52]) as compared to other groups. Adjusted OR was 3.19 (1.55-6.56); 7.67 (1.10-53.49); 1.13 (0.08-17.12) for co-existent cardiovascular, renal, and hepatic comorbidities, respectively. CONCLUSION: Male gender, higher ISS, low GCS, low Hb, hypotension on admission, co-existent cardiovascular, renal and hepatic comorbidities are associated with increased mortality in geriatric trauma patients.