Congruency of crash- and hospital- reported injuries among child passengers.

INTRODUCTION: Prior work has found incongruencies in injury information reported by crash and hospital records. However, no work has focused on child passengers. The objective of this study was to compare crash scene and hospital-reported injury information for crash-involved child passengers. This study also explored injury location and severity by child age and restraint type. METHODS: Utilizing linked New Jersey data from 2017 through 2019, the authors identified crash-involved child passengers <13 years old and their injuries in crash and hospital reports. Then, they characterized the congruency of injury frequency, severity, and location, as well as the frequency of injuries by child age and restraint type. Analyses were conducted from December 2023 through February 2024. RESULTS: Of 84,060 crash-involved child passengers, crash reports documented 7,858 (9%) children with at least "possible" injuries, while 2,577 (3%) had at least one injury in hospital events. Crash report and hospital data were incongruent for both body region of injury and injury severity. The proportion of children injured increased as children's ages increased and as restraint type progressed. CONCLUSIONS: Crash reports overestimated the number of injured child passengers and misrepresented injury severity and locations. Child restraint systems mitigated a child's injury risk. Importantly, injury information documented on crash reports currently informs the allocation of traffic safety resources. These results highlight the importance of improving these reports' accuracy and underscore calls to link administrative datasets for public health efforts.

A proof of concept model to calculate white and grey matter AIS injuries in pedestrian collisions.

In the real world, the severity of traumatic injuries is measured using the Abbreviated Injury Scale (AIS) and is often estimated, in finite element human computer models, with the maximum principal strains (MPS) tensor. MPS can predict when a serious injury is reached, but cannot provide any AIS measures lower and higher from this. To overcome these limitations, a new organ trauma model (OTM2), capable of calculating the threat to life of any organ injured, is proposed. The OTM2 model uses a power method, namely peak virtual power, and defines brain white and grey matters trauma responses. It includes human age effect (volume and stiffness), localised impact contact stiffness and provides injury severity adjustments for haemorrhaging. The focus, in this case, is on real-world pedestrian brain injuries. OTM2 model was tested against three real-life pedestrian accidents and has proven to reasonably predict the post mortem (PM) outcome. Its AIS predictions are closer to the real-world injury severity than the standard maximum principal strain (MPS) methods currently used. This proof of concept suggests that OTM2 has the potential to improve forensic predictions as well as contribute to the improvement in vehicle safety design through the ability to measure injury severity. This study concludes that future advances in trauma computing would require the development of a brain model that could predict haemorrhaging.

Prognostic Factors and Clinical Outcomes of Surgical Treatment of Major Thoracic Trauma.

BACKGROUND: Major thoracic trauma represents a life-threatening condition, requiring a prompt multidisciplinary approach and appropriate pathways for effective recovery. While acute morbidity and mortality are well-known outcomes in thoracic-traumatized patients, long-term quality of life in patients surviving surgical treatment has not been widely investigated before. METHODS: Between November 2016 and November 2023, thirty-two consecutive patients were operated on because of thoracic trauma. Age, sex, comorbidities, location and extent of thoracic trauma, Injury Severity Score (ISS), Abbreviated Injury Scale (AIS), Organ Injury Scale (OIS), intra and extrathoracic organ involvement, mechanism of injury, type of surgical procedure, postoperative complications, ICU and total length of stay, immediate clinical outcomes and long-term quality of life-by using the EQ-5D-3L scale and Numeric Rate Pain Score (NPRS)-were collected for each patient Results: Results indicated no significant difference in EQOL.5D3L among patients with thoracic trauma based on AIS (p = 0.55), but a significant difference was observed in relation to ISS (p = 0.000011). CONCLUSIONS: ISS is correlated with the EQOL.5D3L questionnaire on long-term quality of life, representing the best prognostic factor-in terms of long-term quality of life-in patients surviving major thoracic trauma surgical treatment.

Risk of epilepsy after traumatic brain injury: a nationwide Norwegian matched cohort study.

Background: Post-traumatic epilepsy (PTE) is a well-known complication of traumatic brain injury (TBI). Although several risk factors have been identified, prediction of PTE is difficult. Changing demographics and advances in TBI treatment may affect the risk of PTE. Our aim was to provide an up-to-date estimate of the incidence of PTE by linking multiple nationwide registers. Methods: Patients with TBI admitted to hospital 2015-2018 were identified in the Norwegian Trauma Registry and matched to trauma-free controls on sex and birth year according to a matched cohort design. They were followed up for epilepsy in nationwide registers 2015-2020. Cumulative incidence of epilepsy in TBI patients and controls was estimated taking competing risks into account. Analyses stratified by the Abbreviated Injury Scale (AIS) severity score, Glasgow Coma Scale score and age were conducted for the TBI group. Occurrence of PTE in different injury types was visualized using UpSet plots. Results: In total, 8,660 patients and 84,024 controls were included in the study. Of the patients, 3,029 (35%) had moderate to severe TBI. The cumulative incidence of epilepsy in the TBI group was 3.1% (95% Confidence Interval [CI] 2.8-3.5%) after 2 years and 4.0% (3.6-4.5%) after 5 years. Corresponding cumulative incidences in the control group were 0.2% (95% CI 0.2-0.3%) and 0.5% (0.5-0.6%). The highest incidence was observed in patients with severe TBI according to AIS (11.8% [95% CI 9.7-14.4%] after 2 years and 13.2% [10.8-16.0%] after 5 years) and in patients >40 years of age. Conclusion: Patients with TBI have significantly higher risk of developing epilepsy compared to population controls. However, PTE incidence following moderate-severe TBI was notably lower than what has been reported in several previously published studies.

Evaluating Health Literacy in Families of Injured Children: A Prospective Observational Cohort Study at a Level One Pediatric Trauma Center.

BACKGROUND: Low health literacy (HL) has been associated with poor health outcomes in children. Optimal recovery after pediatric injury requires caregiver participation in complicated rehabilitative and medical aftercare. We aimed to quantify HL among guardians of injured children and identify factors associated with low HL of guardians. METHODS: A prospective observational cohort study was conducted to evaluate the HL using the Newest Vital Sign™ of guardians of injured children (≤18 years) admitted to a level 1 pediatric trauma center. Patient and guardian characteristics were compared across levels of HL using univariate statistics. We conducted multivariable logistic regression to identify factors independently-associated with low HL. RESULTS: A sample of 95 guardian-child dyads were enrolled. The majority of guardians had low HL (n = 52, 55%), followed by moderate HL (n = 36, 38%) and high HL (n = 7, 7%). Many families received public benefits (n = 47, 49%) and 12 guardians (13%) had both housing and employment insecurity. Guardians with low HL were significantly more likely to have insecure housing and not have completed any college. CONCLUSION: The majority of injured children had a primary guardian with low HL. Pediatric trauma centers should consider screening for low HL to ensure that families have adequate post-discharge support. LEVEL OF EVIDENCE: Level 3.

Database Integration Correlates Street Crossing Design Strategies With Pedestrian Injury.

INTRODUCTION: Transportation databases have limited data regarding injury severity of pedestrian versus automobile patients. To identify opportunities to reduce injury severity, transportation and trauma databases were integrated to examine the differences in pedestrian injury severity at street crossings that were signalized crossings (SCs) versus nonsignalized crossings (NSCs). It was hypothesized that trauma database integration would enhance safety analysis and pedestrians struck at NSC would have greater injury severity. METHODS: Single-center retrospective review of all pedestrian versus automobile patients treated at a level 1 trauma center from 2014 to 2018 was performed. Patients were matched to the transportation database by name, gender, and crash date. Google Earth Pro satellite imagery was used to identify SC versus NSC. Injury severity of pedestrians struck at SC was compared to NSC. RESULTS: A total of 512 patients were matched (median age = 41 y [Q1 = 26, Q3 = 55], 74% male). Pedestrians struck at SC (n = 206) had a lower injury severity score (ISS) (median = 9 [4, 14] versus 17 [9, 26], P < 0.001), hospital length of stay (median = 3 [0, 7] versus 6 [1, 15] days, P < 0.001), and mortality (21 [10%] versus 52 [17%], P = 0.04), as compared to those struck at NSC (n = 306). The transportation database had a sensitivity of 63.4% (55.8%-70.4%) and specificity of 63.4% (57.7%-68.9%) for classifying severe injuries (ISS >15). CONCLUSIONS: Pedestrians struck at SC were correlated with a lower ISS and mortality compared to those at NSC. Linkage with the trauma database could increase the transportation database's accuracy of injury severity assessment for nonfatal injuries. Database integration can be used for evidence-based action plans to reduce pedestrian morbidity, such as increasing the number of SC.

The new injury severity score underestimates true injury severity in a resource-constrained setting.

Background: The new injury severity score (NISS) is widely used within trauma outcomes research. NISS is a composite anatomic severity score derived from the Abbreviated Injury Scale (AIS) protocol. It has been postulated that NISS underestimates trauma severity in resource-constrained settings, which may contribute to erroneous research conclusions. We formally compare NISS to an expert panel's assessment of injury severity in South Africa. Methods: This was a retrospective chart review of adult trauma patients seen in a tertiary trauma center. Randomly selected medical records were reviewed by an AIS-certified rater who assigned an AIS severity score for each anatomic injury. A panel of five South African trauma experts independently reviewed the same charts and assigned consensus severity scores using a similar scale for comparability. NISS was calculated as the sum of the squares of the three highest assigned severity scores per patient. The difference in average NISS between rater and expert panel was assessed using a multivariable linear mixed effects regression adjusted for patient demographics, injury mechanism and type. Results: Of 49 patients with 190 anatomic injuries, the majority were male (n = 38), the average age was 36 (range 18-80), with either a penetrating (n = 23) or blunt (n = 26) injury, resulting in 4 deaths. Mean NISS was 16 (SD 15) for the AIS rater compared to 28 (SD 20) for the expert panel. Adjusted for potential confounders, AIS rater NISS was on average 11 points (95 % CI: 7, 15) lower than the expert panel NISS (p < 0.001). Injury type was an effect modifier, with the difference between the AIS rater and expert panel being greater in penetrating versus blunt injury (16 vs. 7; p = 0.04). Crush injury was not well-captured by AIS protocol. Conclusion: NISS may under-estimate the 'true' injury severity in a middle-income country trauma hospital, particularly for patients with penetrating injury.

Surgical Force: Initial Study and Clinical Implications in the Assessment of Ureteral Access Sheath Induced Injury.

Purpose: Ureteral access sheaths (UAS) pose the risk of severe ureteral injury. Our prior studies revealed forces ≤6 Newtons (N) prevent ureteral injury. Accordingly, we sought to define the force urologists and residents in training typically use when placing a UAS. Materials and Methods: Among urologists and urology residents attending two annual urological conferences in 2022, 121 individuals were recruited for the study. Participants inserted 12F, 14F, and 16F UAS into a male genitourinary model containing a concealed force sensor; they also provided demographic information. Analysis was completed using t-tests and Chi-square tests to identify group differences when passing a 16F sheath UAS. Participant traits associated with surpassing or remaining below a minimal force threshold were also explored through polychotomous logistic regression. Results: Participant force distributions were as follows: ≤4N (29%), >6N (45%), and >8N (32%). More years of practice were significantly associated with exerting >6N relative to forces between 4N and 6N; results for >8N relative to 4N and 8N were similar. Compared to high-volume ureteroscopists (those performing >20 ureteroscopies/month), physicians performing ≤20 ureteroscopies/month were significantly less likely to exert forces ≤4N (p = 0.017 and p = 0.041). Of those surpassing 6N and 8N, 15% and 18%, respectively, were high-volume ureteroscopists. Conclusions: Despite years of practice or volume of monthly ureteroscopic cases performed, most urologists failed to pass 16F access sheaths within the ideal range of 4N to 6N (74% of participants) or within a predefined safe range of 4N to 8N (61% of participants).

Comparison between Injury Severity Score (ISS) and New Injury Severity Score (NISS) in predicting mortality of thoracic trauma in a tertiary hospital / Comparação entre o Injury Severity Score (ISS) e o New Injury Severity Score (NISS) na predição da mortalidade de traumas torácicos atendidos em um hospital terciário

ABSTRACT Introduction: measuring the severity of traumatic injuries is crucial for predicting clinical outcomes. Whereas the Injury Severity Score (ISS) has limitations in assigning scores to injuries at the same site, the New Injury Severity Score (NISS) corrects for this problem by taking into account the three most severe injuries regardless of the region of the body. This study seeks to comprehend the clinical and epidemiological profile of trauma patients while comparing the effectiveness of scales for predicting mortality. Methods: a descriptive, observational and retrospective study using records of patients who underwent thoracotomy at the Hospital das Clínicas of the Federal University of Triângulo Mineiro between 2000 and 2019. Demographic data, mechanisms of injury, affected organs, length of stay and mortality were analyzed. Injury severity was assessed using the ISS and NISS, and statistical analyses were conducted using MedCalc and SigmaPlot. Results: 101 patients were assessed, on average 29.6 years old, 86.13% of whom were men. The average duration of hospitalization was 10.9 days and the mortality rate was 28.7%. The ROC curve analysis revealed a sensitivity of 68.97%, specificity of 80.56% and area under the curve of 0.837 for the ISS, and 58.62%, 94.44% and 0.855 for the NISS, respectively. The Youden index was 0.49 for the ISS and 0.53 for the NISS. Conclusion: the study demonstrated comparable efficacy of NISS and ISS in predicting mortality. These findings hold significance in the hospital setting. Professionals must be familiar with these scales to utilize them competently for each patient.

RESUMO Introdução: a medição da gravidade das lesões traumáticas é essencial para prever os desfechos clínicos. Enquanto o Injury Severity Score (ISS) tem limitações ao atribuir pontuações às lesões no mesmo local, o New Injury Severity Score (NISS) corrige esse problema ao considerar as três lesões mais graves independentemente da região corporal. Este estudo visa entender o perfil clínico-epidemiológico dos pacientes traumatizados, comparando a eficácia das escalas para prever mortalidade. Métodos: estudo descritivo, observacional e retrospectivo utilizando registros de pacientes submetidos à toracotomia no Hospital das Clínicas da Universidade Federal do Triângulo Mineiro entre 2000 e 2019. Dados demográficos, mecanismos de lesão, órgãos afetados, tempo de internação e mortalidade foram analisados. A gravidade das lesões foi avaliada usando o ISS e NISS, e as análises estatísticas foram conduzidas no MedCalc e SigmaPlot. Resultados: Foram avaliados 101 pacientes, em média com 29,6 anos, sendo 86,13% homens. A média da internação foi de 10,9 dias e a taxa de mortalidade foi de 28,7%. A análise da curva ROC revelou uma sensibilidade de 68,97%, especificidade de 80,56% e área sob a curva de 0,837 para o ISS, e 58,62%, 94,44% e 0,855 para o NISS, respectivamente. O índice de Youden indicou 0,49 para o ISS e 0,53 para o NISS. Conclusão: o estudo demonstrou semelhante eficácia entre o NISS e o ISS na previsão de mortalidade. Esses resultados geram implicações importantes na aplicação dessas escalas no ambiente hospitalar. É essencial que os profissionais conheçam tais escalas para aplica-las adequadamente no contexto de cada paciente.

Demographics and Comorbidities of United States Service Members with Combat-Related Lower Extremity Limb Salvage.

INTRODUCTION: This retrospective study describes the demographics and injury characteristics of a recently identified cohort of US Service members with combat-related lower extremity limb salvage (LS). METHODS: US Service members with combat trauma were identified from the Expeditionary Medical Encounter Database and Military Health System Data Repository and stratified into primary amputation (PA), LS, and non-threatened limb trauma (NTLT) cohorts based on ICD-9 codes. Disparities in demographic factors and injury characteristics were investigated across cohorts and within the LS cohort based on limb retention outcome. RESULTS: Cohort demographics varied by age but not by sex, branch, or rank. The mechanism of injury and injury characteristics were found to be different between the cohorts, with the LS cohort exhibiting more blast injuries and greater injury burden than their peers with NTLT. A sub-analysis of the LS population revealed more blast injuries and fewer gunshot wounds in those that underwent secondary amputation. Neither demographic factors nor total injury burden varied with limb retention outcome, despite slight disparities in AIS distribution within the LS cohort. CONCLUSIONS: In accordance with historic dogma, the LS population presents high injury severity. Demographics and injury characteristics are largely invariant with respect to limb retention outcomes, despite secondary amputation being moderately more prevalent in LS patients with blast-induced injuries. Further study of this population is necessary to better understand the factors that impact the outcomes of LS in the Military Health System.

A Data-Driven Method to Discriminate Limb Salvage from Other Combat-Related Extremity Trauma.

INTRODUCTION: The aim of this study was to address and enhance our ability to study the clinical outcome of limb salvage (LS), a commonly referenced but ill-defined clinical care pathway, by developing a data-driven approach for the identification of LS cases using existing medical code data to identify characteristic diagnoses and procedures, and to use that information to describe a cohort of US Service members (SMs) for further study. METHODS: Diagnosis code families and inpatient procedure codes were compiled and analyzed to identify medical codes that are disparately associated with a LS surrogate population of SMs who underwent secondary amputation within a broader cohort of 3390 SMs with lower extremity trauma (AIS > 1). Subsequently, the identified codes were used to define a cohort of all SMs who underwent lower extremity LS which was compared with the opinion of a panel of military trauma surgeons. RESULTS: The data-driven approach identified a population of n = 2018 SMs who underwent LS, representing 59.5% of the combat-related lower extremity (LE) trauma population. Validation analysis revealed 70% agreement between the data-driven approach and gold standard SME panel for the test cases studied. The Kappa statistic (κ = 0.55) indicates a moderate agreement between the data-driven approach and the expert opinion of the SME panel. The sensitivity and specificity were identified as 55.6% (expert range of 51.8-66.7%) and 87% (expert range of 73.9-91.3%), respectively. CONCLUSIONS: This approach for identifying LS cases can be utilized to enable future high-throughput retrospective analyses for studying both short- and long-term outcomes of this underserved patient population.

Understanding the factors of road crash severity in Benin: a matched case-control study.

Background: In Benin, due to the unavailability of comprehensive data on road crashes, road safety policies are mainly based on partial statistics provided by the police. These remain unreliable in terms of injury severity and risk factors. This study aims to determine the factors influencing the severity of injuries after a road crash in Benin. Methods: The present nested case-control study, matched for age and sex, was based on a hospital cohort of road crash victims set up in five hospitals in Benin between July 2019 and January 2020. A sample of severely injured patients according to the Abbreviated Injury Scale (cases) was compared to non-severely injured patients (controls). Results: The severe crash occurred mainly during the night between 8 p.m. and midnight (36.2% of cases vs. 24.4% of controls) and on main roads (57.8% of cases vs. 34.7% of controls). Factors associated with injury severity were the time of the crash: night between 8 p.m. and midnight [Adjusted Odd Ratio (AOR): 2.1; CI 95%: 1.4-3.2], major roads (national interstate roads and national roads) (AOR: 2.8; CI 95%: 2.0-4.0) and non-work-related travel (AOR: 1.8; CI 95%: 1.2-2.7). Conclusions: Factors associated with road crash severity in Benin were night-time, main roads, and non-work related travel. Raising user awareness about compliance with traffic rules and improving public lighting, especially along main roads could help reduce the number of serious injuries.

Analysis of experimental injuries to obese occupants with different postures in frontal impact.

The objective of the present study was to analyze injuries and their patterns to obese occupants in frontal impacts with upright and reclined postures using experimental data. Twelve obese post-mortem human subjects (PMHS) were positioned on a sled buck with seatback angles of 250 or 450 from the vertical, termed as upright and reclined postures. They were restrained with a seat belt and pretensioner. Frontal impact tests were conducted at 8.9 or 13.9 m/s, termed as low and high velocities. After the test, x-rays and CTs were taken, and an autopsy was conducted. The Maximum AIS (MAIS) and Injury Severity Score (ISS) were calculated, and injury patterns were analyzed. The mean age, stature, total body mass, and body mass indexes were 67 years, 112 kg, and 1.7 m, and 38 kg/m2. None of these parameters were statistically significantly different between any groups. The mean thickness of the soft tissues in the left anterior lateral, central, and right anterior lateral aspects were 44 mm, 24 mm, and 46 mm. In the low-velocity tests, the ISS data were 9, 18, and 9 for the upright, and 9, 9, and 4 for the reclined specimens, and in the high velocity tests, they were 29, 17, and 27 for the upright, and 27, 13, and 27 for the reclined postures. Other data are given in the paper. For both postures at the low velocity, injuries were concentrated at one body region, and the ISS data were in the mild category; in contrast, at the high velocity, other body regions also sustained injuries, and the ISS data were in the major trauma category. From MAIS perspectives, injuries to obese occupants did not change between postures and were independent of the energy input to the system. The association of chest with pelvis injuries in upright and reclined postures to obese occupants may have additional consequences following the initial injury to this group of our population.

Characteristics of Traumatic Patients Referring to the Emergency Department and their Association with Mortality and Incidence of Surgery Performance.

Objective: To identify the distinctive features of acutely injured patients who were presented to the emergency department (ED) and their association with mortality and surgical intervention outcomes. Methods: This cross-sectional study was conducted on all trauma patients resuscitated in the ED of Shahid Rajaee (Emtiaz) Trauma Hospital (Shiraz, Iran) from May 2018 to June 2019. Demographic information, the mechanism of trauma, trauma type, injured body regions, criteria of abbreviated injury scale (AIS) score, injury severity score (ISS), and surgical intervention were all taken into consideration. The items related to the mortality and surgical performance outcomes among the patients were analyzed. Results: Of all 1281 cases, 82.9% were men, and the mean age of the patients was 37.9±19.1 years. The most common mechanism of injury was a car accident, and the thorax was the most prevalent injured area of the body. The majority of the patients had moderate blunt trauma. The mechanism of trauma, ISS, and the severity of head trauma were all significantly correlated with operation interventions. Moreover, age, the mechanism and type of trauma, ISS, and the necessity for the surgery were significantly associated with death occurrence. Additionally, head, thorax, and abdomen trauma were significantly related to a high mortality rate. Conclusion: Age, trauma mechanism and type, ISS, and the necessity for surgery were significantly associated with the mortality rate of injured patients. The severity of the trauma, particularly head injuries and the mechanism of damage were important determinants in concern for surgery the necessity.

Evaluation of Neural Machine translation for conversion of International Classification of disease codes to the Abbreviated injury Scale.

The Abbreviated Injury Scale (AIS) is an essential tool for injury research since it allows for comparisons of injury severity among patients, however, the International Classification of Diseases (ICD) is more widely used to capture medical information. The problem of conversion between these two medical coding systems has similarities to the challenges encountered in language translation. We therefore hypothesize that neural machine translation (NMT), a deep learning technique which is commonly used for human language translation, could be used to convert ICD codes to AIS. The objective of this study was to compare the accuracy of a NMT model for determining injury severity compared to two established methods of conversion. The injury severity classifications used for this study were Injury Severity Score (ISS) ≥ 16, Maximum AIS severity (MAIS) ≥ 3, and MAIS ≥ 2. Data from a US national trauma registry, which has patient injuries coded in both AIS and ICD, was used to train a NMT model. Testing data from a separate year was used to determine the accuracy of the NMT model predictions against the actual ISS recorded in the registry. The prediction accuracy of the NMT model was compared to that of the official Association for the Advancement of Automotive Medicine (AAAM) ICD-AIS map and the R package 'ICD Program for Injury Categorization in R' (ICDPIC-R). The results show that the NMT model was the most accurate across all injury severity classifications, followed by the ICD-AIS map and then ICDPIC-R package. The NMT model also showed the highest correlation between the predicted and observe ISS scores. Overall, NMT appears to be a promising method for predicting injury severity from ICD codes, however, validation in external databases is needed.

Extremity Fractures as the Most Common Missed Injuries: A Prospective Cohort in Intensive Care Unit Admitted Multiple Trauma Patients.

Background: Although an intensive care unit (ICU) admission is a risk factor for missed injury, there has been some disagreement on whether missed injuries in trauma ICU patients have a longer length of stay (LOS). With this in mind, these patients' frequency of missed injuries and related factors were investigated. Materials and methods: This was a prospective cohort study on multiple trauma injury patients in a tertiary referral trauma center's trauma intensive care unit (TICU) from March 2020 to March 2021. A tertiary survey was conducted in the TICU by attending physicians to find the types I and II missed injuries (any injury discovered after primary and secondary surveys during the hospital stay). A logistic regression model was designed for predictors of missed injuries in ICU-admitted multiple trauma patients. Results: Out of 290 study participants, 1,430 injuries were found, and of those injuries, 74 cases (25.5%) had missed injuries. In other words, there were 103 missed injuries, resulting in a missed injury detection rate of 7.2%. The most frequently missed injuries (43.4%) were concluded as extremities fractures. The regression model showed that the patients with missed injuries are prone to longer TICU LOS [odds ratio (OR) = 1.15; p = 0.033], and cases who underwent a computed tomography (CT) scan are less likely to have missed injuries (OR = 0.04; p < 0.001). The abbreviated injury scale (AIS) range was 1-3 in missed injuries. Conclusion: Our research underlines the importance of finding missed injuries and the necessity of CT scan to decrease them. In teaching centers, life-threatening injuries decrease with increasing visits and examination times. Although these missed injuries do not increase mortality, they cause longer TICU LOS and costs. How to cite this article: Bahramian M, Shahbazi P, Hemmati N, Mohebzadeh P, Najafi A. Extremity Fractures as the Most Common Missed Injuries: A Prospective Cohort in Intensive Care Unit Admitted Multiple Trauma Patients. Indian J Crit Care Med 2023;27(3):201-204.

Risks in the Management of Polytrauma Patients: Clinical Insights.

Polytrauma, a patient's condition with multiple injuries that involve multiple organs or systems, is the leading cause of mortality in young adults. Trauma-related injuries are a major public health concern due to their associated morbidity, high disability, associated death, and socioeconomic consequences. Management of polytrauma patients has evolved over the last few decades due to the development of trauma systems, improved pre-hospital assessment, transport and in-hospital care supported by complementary investigations. Recognising the mortality patterns in trauma has led to significant changes in the approach to managing these patients. A structured approach with application of advanced trauma life support (ATLS) algorithms and optimisation of care based on clinical and physiological parameters has led to the development of early appropriate care (EAC) guidelines to treat these patients, with subsequent improved outcomes in such patients. The journey of a polytrauma patient through the stages of pre-hospital care, emergency resuscitation, in-hospital stabilization and rehabilitation pathway can be associated with risks at any of these phases. We describe the various risks that can be anticipated during the management of polytrauma patients at different stages and provide clinical insights into early recognition and effective treatment of these to improve clinical outcomes.

Surgical management of thoracolumbar junction fractures: An evidence-based algorithm.

Background: The management of thoracolumbar junction (TLJ) fractures, involving the restoring anatomical stability and biomechanics properties, still remains a challenge for neurosurgeons.Despite the high frequency of these injuries, specific treatment guidelines, set on biomechanical properties, have not yet been assumed. The present study is meant to propose an evidence-based treatment algorithm. The primary aim for the protocol validation was the assessment of postoperative neurological recovery. The secondary objectives concerned the evaluation of residual deformity and rate of hardware failure. Technical nuances of surgical approaches and drawbacks were further discussed. Methods: Clinical and biomechanical data of patients harboring a single TLJ fracture, surgically managed between 2015 and 2020, were collected. Patients' cohorts were ranked into 4 groups according to Magerl's Type, McCormack Score, Vaccaro PLC point, Canal encroachment, and Farcy Sagittal Index. The outcome measures were the early/late Benzel-Larson Grade and postoperative kyphosis degree to estimate neurological status and residual deformity, respectively. Results: 32 patients were retrieved, 7, 9, 8, and 8 included within group 1, 2, 3, and 4, respectively. Overall neurological outcomes significantly improved for all patients at every follow-up stage (p â€‹< â€‹0.0001). Surgeries gained a complete restoration of post-traumatic kyphosis in the entire cohort (p â€‹< â€‹0.0001), except for group 4 which experienced a later worsening of residual deformity. Conclusions: The choice of the most appropriate surgical approach for TLJ fractures is dictated by morphological and biomechanical characteristics of fracture and the grade of neurological involvement. The proposed surgical management protocol was reliable and effective, although further validations are needed.

Postmortem injury evaluation using the Forensic Injury Severity Score Template (FISST): a preliminary study.

The Abbreviated Injury Scale (AIS) and Injury Severity Score (ISS) are important evaluation tools used in clinical practice to determine the degree of injury in patients with trauma. However, they are not suitable for forensic practice and their use in forensic applications is limited. This study aimed to present a system that can objectively and quantitatively determine the severity of postmortem injuries and that can be applied to forensic medicine. Subsequently, we applied this system to individual postmortem cases and analyzed the injuries identified during autopsy. We performed a retrospective study of 119 autopsies performed between 2018 and 2021. Data were categorized and analyzed using the Forensic Injury Severity Score Template (FISST), a scoring system developed based on the AIS and ISS. The mean FISST scores were as follows: men, 53.6; women, 46.8; 20-65 years old, 55.6; older than 65 years, 41.4; natural death, 13.8; unnatural death, 66.3; and all deaths, 51.8. Statistically significant differences in the FISST scores were found between natural and unnatural deaths, suicidal and accidental deaths, and trauma-related death subtypes. Injuries identified during autopsy can be objectively and quantitatively evaluated using FISST. We suggest that FISST is a useful tool in forensic medicine because it is tailor-made for injury evaluation from a postmortem perspective.

Incidence, risk factors and potential timing of occurrence of pulmonary embolism in fatal trauma: An autopsy based case-control study on 2705 victims.

BACKGROUND: Pulmonary embolism (PE) following trauma is a potentially preventable but highly lethal complication. We sought to investigate the incidence, risk factors and potential timing of occurrence of post-traumatic PE in a large cohort of trauma fatalities. METHODS: A case-control study on 9266 consecutive trauma fatalities (between 1996 and 2005) from a regional autopsy-based trauma registry. Injuries were classified according to the Abbreviated Injury Scale-1990 edition (AIS-90) and the Injury Severity Score (ISS) was calculated. Hospitalized victims were categorized according to the presence or absence of PE on autopsy. Univariate comparisons and multivariate logistic regression analysis for probabilities of association (odds ratios-OR) were performed. RESULTS: Out of 2705 subjects who met the inclusion criteria, 116 had autopsy findings of PE and constituted the PE group (incidence of 4,3%), while the remaining victims formed the control group. The survival time of the PE group ranged from 0.66 to 104.73 days. Victims in the PE group were older (median age 69.5 vs 59), had lower ISS values (median 16 vs 26) and longer post-injury survival times (median 13.6 vs 5.7 days). Positively associated risk factors were AIS2-5 pelvic ring injuries (OR:2.23) and secondary deaths following an uneventful hospital discharge (OR:3.97), while AIS2-5 head (OR:0.33) and abdominal injuries (OR:0.23) showed a reverse association. CONCLUSIONS: Trauma fatalities with autopsy findings of PE were associated with less severe trauma indicating that PE was likely detrimental to the fatal outcome. Both the early and delayed occurrence of PE was reaffirmed. Prophylactic measures should be initiated promptly and extended post discharge for high risk patients to prevent secondary deaths.