Trauma Score Research Articles

Comparison of Injury Severity Score, New Injury Severity Score, Revised Trauma Score, and Trauma and Injury Severity Score for Mortality Prediction in Trauma Patients in a Tertiary Care Center

Comparison of Injury Severity Score, New Injury Severity Score, Revised Trauma Score, and Trauma and Injury Severity Score for Mortality Prediction in Trauma Patients in a Tertiary Care Center

Association of the Revised Trauma Score with Mortality and Prehospital LSI Among Trauma and Non-Trauma Patients

ABSTRACT OBJECTIVES The combination of broad conditional applicability and ease of data collection make some general risk scores an attractive tool for clinical decision making under acute care conditions. To date, general risk scores have demonstrated moderate levels of accuracy for key outcomes, but there are no definitive general scores integrated universally into prehospital care. The objective of our study was to demonstrate a relationship between the revised trauma score (RTS) and prehospital lifesaving interventions (LSI) and downstream hospital mortality among a large, diverse, multi-year cohort of critical care transport patients. We hypothesized that the RTS is associated with mortality and prehospital LSI generally across all conditions, including non-trauma. METHODS We conducted a retrospective observational study using a pre-established cohort of sequentially enrolled patients from a regional air medical service between the years 2012 and 2021. Pediatric patients, non-transports, and those transported to hospitals outside the regional health system were excluded from the study. Both trauma and non-trauma patients were included in this study. We performed logistic regressions to evaluate the association between RTS and the outcomes of LSI and hospital mortality, while controlling for age, sex, and medical category. Graphs were constructed to plot RTS against prehospital LSI and survival percentage. RESULTS Our final patient cohort was 62,424 patients. 58.4% of all patients required a prehospital LSI. Non-trauma cases made up 69.7% of the patient population. The Revised Trauma Score was inversely proportional with both prehospital LSI and mortality. The logistic regression model yielded an odds ratio (OR) of 0.55 (95% CI 0.54 - 0.56) for the association between RTS and death. Additionally, when the components of RTS were associated with mortality, they each showed a statistically significant OR. The Revised Trauma Score was also associated with prehospital LSI (OR 0.10; 95% CI 0.03 - 0.33). CONCLUSIONS In a large helicopter EMS cohort of both trauma and non-trauma patients, the RTS was inversely associated with prehospital LSI and hospital mortality. The generalized utility of RTS demonstrated in our study warrants further investigation of this measure as a broader triage tool.

Sexual Trauma, Polygenic Scores, and Mental Health Diagnoses and Outcomes

Leveraging real-world clinical biobanks to investigate the associations between genetic and environmental risk factors for mental illness may help direct clinical screening efforts and evaluate the portability of polygenic scores across environmental contexts. To examine the associations between sexual trauma, polygenic liability to mental health outcomes, and clinical diagnoses of schizophrenia, bipolar disorder, and major depressive disorder in a clinical biobank setting. This genetic association study was conducted using clinical and genotyping data from 96 002 participants across hospital-linked biobanks located at Vanderbilt University Medical Center (VUMC), Nashville, Tennessee (including 58 262 individuals with high genetic similarity to the 1000 Genomes Project [1KG] Northern European from Utah reference population [1KG-EU-clustered] and 11 047 with high genetic similarity to the 1KG African-ancestry reference population of Yoruba in Ibadan, Nigeria [1KG-YRI-clustered]), and Mass General Brigham (MGB), Boston, Massachusetts (26 693 individuals with high genetic similarity to the combined European-ancestry superpopulation [1KG-EU-clustered]). Clinical data analyzed included diagnostic billing codes and clinical notes spanning from 1976 to 2023. Data analysis was performed from 2022 to 2024. Clinically documented sexual trauma disclosures and polygenic scores for schizophrenia, bipolar disorder, and major depressive disorder. Diagnoses of schizophrenia, bipolar disorder, and major depressive disorder, determined by aggregating related diagnostic billing codes, were the dependent variables in logistic regression models including sexual trauma disclosure status, polygenic scores, and their interactions as the independent variables. Across the VUMC and MGB biobanks, 96 002 individuals were included in analyses (VUMC 1KG-EU-clustered: 33 011 [56.7%] female; median [range] age, 56.8 [10.0 to >89] years; MGB 1KG-EU-clustered: 14 647 [54.9%] female; median [range] age, 58.0 [10.0 to >89] years; VUMC 1KG-YRI-clustered: 6961 [63.0%] female; median [range] age, 44.6 [10.1 to >89] years). Sexual trauma history was associated with all mental health conditions across institutions (ORs ranged from 8.83 [95% CI, 5.50-14.18] for schizophrenia in the VUMC 1KG-YRI-clustered cohort to 17.65 [95% CI, 12.77-24.40] for schizophrenia in the VUMC 1KG-EU-clustered cohort). Sexual trauma history and polygenic scores jointly explained 3.8% to 8.8% of mental health phenotypic variance. Schizophrenia and bipolar disorder polygenic scores had greater associations with mental health outcomes in individuals with no documented disclosures of sexual trauma (schizophrenia interaction: OR, 0.70 [95% CI, 0.56-0.88]; bipolar disorder interaction: OR, 0.83 [95% CI, 0.74-0.94]). Sexual trauma and mental health polygenic scores, while correlated with one another, were independent and joint risk factors for severe mental illness in a large, diverse hospital biobank population. Furthermore, associations of schizophrenia and bipolar disorder polygenic scores with respective diagnoses were greater in those without disclosures, suggesting that genetic predisposition to mental illness as measured by polygenic scores may be less impactful in the presence of this severe environmental risk factor.

Relationship between early traumatic experiences and emotional regulation skills in major depressive and bipolar disorders.

Childhood trauma can cause deficits in emotional regulation. However, few studies have investigated childhood trauma and emotional regulation skills in patients with mood disorders. We aimed to investigate how childhood trauma and Emotion Regulation Skills Questionnaire (ERSQ) scores are associated with mood disorders.This study included 779 patients with mood disorders (major depressive disorder [MDD, n = 240], bipolar I disorder [BDI, n = 121], and bipolar II disorder [BDII, n = 418]). We used their Childhood Trauma Questionnaire-Short Form (CTQ) and ERSQ scores for the evaluation.The between-group differences in CTQ and ERSQ scores were examined. The CTQ and ERSQ total scores were negatively correlated. Among the CTQ subscales, emotional neglect showed a significant correlation with the ERSQ total score, whereas acceptance and tolerance showed higher negative correlations with the CTQ than with the other ERSQ subscales. The negative relationship between emotional regulation and childhood trauma varied significantly depending on the group, with the BDI group showing a more prominent association than the other groups.Based on various mood disorders, we observed associations between childhood trauma and emotional regulation skills. Consequently, our study offers notable insights for future research on the impact of childhood trauma on ERSQ.

Trauma levels and perspectives on dignified death among nurses and physicians who directly experienced the recent earthquake

Background Unexpected, sudden, and tragic losses can prompt us to reflect on the concept of a "good death." The earthquake disaster that struck our country in 2023 vividly demonstrated the challenging impact of such events, which can turn lives upside down and compel us to question the notion of a "good death." This study aims to determine the perceptions of a "good death" and the levels of trauma experienced by physicians and nurses who directly witnessed the earthquake disaster, and to understand the relationship between these factors. Methods This cross-sectional study was conducted between October 1 and December 31, 2023, using phone interviews facilitated by a web-based Google form. Data were collected from 560 healthcare professionals (280 nurses and 280 doctors) working in hospitals located in Kahramanmaraş, Hatay, Malatya, and Adıyaman provinces in Türkiye, which were directly impacted by the earthquake of February 6, 2023, and who consented to participate in the study. Trauma levels were assessed using the "Post-Earthquake Trauma Level Determination Scale," and perceptions of a good death were evaluated using the "Good Death Scale (GDS)." Data were analyzed using SPSS 25 and AMOS 24 software. Normal distribution was checked with the Kolmogorov-Smirnov Test. Independent t-tests were used to compare independent binary groups, Pearson correlation analysis was used to examine the relationship between scale scores, and Cronbach’s α coefficient was used to evaluate the reliability of the scales (Good Death Scale: 0.931; Trauma Scale: 0.957). Structural equation modeling and multi-group analysis were conducted to examine the relationship between scale scores according to the profession variable. Findings The mean score for the perception of a good death was found to be 52.76 ± 8.77 for physicians and 55.84 ± 9.63 for nurses. A statistically significant difference was detected between physicians and nurses in the "psychosocial spirituality," "personal control," and "clinical" sub-dimensions of the scale (p<0.05). The mean trauma scores were 56.81 ± 17.58 for physicians and 64.82 ± 18.56 for nurses. A significant difference was found in the trauma scale and its sub-dimensions ("excitement limitation," "emotional," "cognitive restructuring," "sleep problems") (p<0.05). It was observed that higher trauma levels positively influenced good death perception scores. Conclusion This study reveals that healthcare workers are deeply affected psychologically by major disasters, with high levels of trauma. A significant relationship was found between trauma levels and perceptions of a good death. These findings provide an important basis for future research to understand how trauma shapes the lives and job performance of healthcare workers in the long term.

Exploring characteristics and severity of road traffic injuries in Lebanon using emergency department hospital-based data

In Lebanon, the lack of quality data on road traffic injuries (RTIs) led to the implementation of a hospital-based RTI surveillance system by the Ministry of Health in in private and public-run hospitals in the Bekaa governorate. This paper aims to describe the characteristics and severity of RTIs recorded over two years during the pilot phase. It also assesses the strengths and challenges of the surveillance system, highlighting areas for enhancement. The data collected from the Emergency department (ED) was used to conduct a retrospective analysis of population-based injuries hospitalized for road traffic crashes (RTC). Designated focal persons reported injuries weekly using a standardized form, which included demographic and crash-related variables, body lesions, and vital signs. Data were coded per the International Classification of Diseases (ICD-10), entered into Epidata, and analyzed using SPSS. The RTI surveillance system was assessed using Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis. Over two years, a total of 1576 cases of RTIs were reported. The male-to-female ratio was 2.16 and the majority of RTIs (44.4%) were recorded among those aged between 15 and 29 years old. From 2013 to 2015, a decrease of 0.7% in the revised trauma score (RTS < 4) was recorded. On the contrary, an increase of 3.9% in injury severity score (ISS) that ranged between 15 and 75 was reported. The probability of survival of an injured individual at one month was improved. The hospital-based surveillance system demonstrated strengths in structured data collection and ethical considerations but faced challenges like underreporting, limited coverage, and resource constraints. Recommendations for improvement include enhancing data quality and timely reporting, ultimately supporting evidence-based road safety interventions.

Role of Visual Evoked Potential and Ocular Trauma Score as Predictors of Visual Recovery in Eye Globe Injuries.

Evaluate visual evoked potential (VEP) and ocular trauma score (OTS) efficacy in predicting visual potential in globe trauma without optic nerve involvement. A retrospective cohort study analyzed clinical data from eye globe injury cases undergoing flash VEP between January 2000 and May 2021. Inclusion criteria: flash VEP completion within 48 hours, pre-surgical intervention. Exclusions: head trauma, optic nerve injuries. Abnormal VEP: <7 µV amplitudes, >120ms latencies. The OTS was computed, and penetrating injuries were categorized. Of 85 eyes meeting the criteria (mean age: 31.9±20.6 years, 82.4% male), the median follow-up was 22 months. OTS directly correlated with the amount of Early Treatment Diabetic Retinopathy Study letters gained at follow-up and was inversely correlated with ocular penetration extent, and VEP signal amplitude. VEP amplitude is inversely correlated with maintaining/improving visual acuity. Positive predictive value for normal VEP predicting maintained/improved visual acuity: 75.6%, negative predictive value: 21.3%. In blunt trauma, baseline VEP amplitude had superior predictive value compared to penetrating injury. This study highlights a correlation between VEP signal amplitude and OTS with visual outcomes in traumatic eye injuries without optic nerve involvement. OTS emerges as a reliable VEP substitute, particularly in blunt trauma cases, where baseline VEP amplitude predicts visual recovery more accurately than penetrating injuries.

Psychiatric Sequelae in Adult Open Globe Injury Patients

Background: The aim of this study was to investigate psychiatric sequelae in open globe injury patients and to identify the risk factors associated with these sequelae. Methods: After a complete ophthalmologic examination, Davidson Trauma Scale (DTS), State-Trait Anxiety Inventory (STAI), and Zung Depression Scale (ZDS) scores were administered to all patients. Patients were divided into 5 groups according to final best corrected visual acuity (BCVA): group 1 (no perception of light, NPL), group 2 [perception of light (PL) or hand movements (HM)], group 3 (1/200 to 19/200), group 4 (20/200 to 20/50), and group 5 (20/40 or above). Results: A total of 113 patients with open globe injuries were included. The mean ZDS scores were 78.5±35.9 in group 1, 66.2±24.5 in group 2, and 27.6±2.1 in group 5. In group 1, 8 patients (66.7%) had moderate depression. In group 2, 20 patients (60.6%) had mild depression. All patients in group 4 and group 5 had ZDS scores in the normal range. There is a statistically significant difference between the groups in terms of ZDS scores. In univariate analysis, depression (ZDS) and trauma (DTS) scores were associated with younger age (P=0.016 and P=0.003, respectively) and lower final visual acuity level (P&lt;0.001, for both). In multivariate analysis adjusted for age and sex, a lower final visual acuity level (P&lt;0.001, for both) was also associated. Conclusions: In conclusion, high anxiety and depression scores can be seen in open globe injury patients. Patients with young age and lower final visual acuity should be carefully screened, and the presence of a psychiatric pathology should be investigated. Amelioration of psychiatric pathologies may improve patient compliance with treatment and clinical success.

Contribution of the Association of CT scan and Ocular Trauma Score in Open Globe Ocular Injuries: Mohammed VI University Hospital Experience

Objective: The aim of this study was to assess the association between oculo-orbital CT scan results and Ocular Trauma Score (OTS) in open globe injuries. Methods: In 65 eyes with open globe injuries undergoing oculo-orbital CT, they were classified into 5 major types: intraocular foreign body/air, scleral irregularity with decreased globe volume, lens dislocation, abnormal vitreous density, choroid layer thickening, and choroidal detachment. The association between different types and the number of CT findings with OTS stages was evaluated. Results: The average age of patients was 37 ± 15.8 years. The most common CT findings were the presence of intraocular foreign bodies (63.1%), severe scleral irregularity (18.5%), and abnormal vitreous density (23.1%). The most frequent OTS stages were III (47.7%) and II (21.5%). Univariate analysis showed that severe scleral irregularity (OR = 0.015; p = 0.001), abnormal vitreous density (OR = 0.095; p &lt; 0.004), choroidal layer thickening (OR = 0.211; p = 0.006), and foreign body (OR = 9.50; p = 0.004) were associated with more advanced OTS stages (I and II). The discovery of more anomalies on CT was associated with severe ocular injuries, namely OTS I (p &lt; 0.001) with corresponding low final visual acuity. Conclusion: CT results can aid in predicting OTS stage and visual prognosis in open globe eye injuries.

Predicting Mortality in Trauma Research: Evaluating the Performance of Trauma Scoring Tools in a South African Population.

Background Trauma is a leading cause of death and disability in low-resource settings, yet trauma severity scores are seldom validated in these contexts. There is a pressing need to better characterize and compare trauma scoring tools, especially within research frameworks. This study aimed to evaluate the performance of various trauma scoring tools in predicting in-hospital mortality among trauma patients in South Africa. Methods This study conducted a secondary analysis of existing data from the multicenter Epidemiology and Outcomes of Prolonged Trauma Care (EpiC) study, which included 13,548 adult trauma patients aged 18 years and older, collected between August 2021 and March 2024. The predictive ability of the scoring tools was assessed by calculating the area under the receiver operating characteristic curve (AUROC) and the area under the precision-recall curve (AUPRC). Results The mortality rate was 2.5% (n = 298). The Kampala Trauma Score (KTS) demonstrated the highest predictive ability for seven-day in-hospital mortality, with an AUROC of 0.95 and an AUPRC of 0.53. Similarly, the Trauma and Injury Severity Score (TRISS) and the New Injury Severity Score (NISS) also exhibited strong predictive capabilities, with AUROC values of 0.96 and AUPRC values of 0.62 for TRISS and an AUROC of 0.96 and AUPRC of 0.53 for NISS. In contrast, the Revised Trauma Score and Mechanism, Glasgow Coma Scale, Age, and Arterial Pressure (MGAP) showed lower predictive performance, with AUROC values of 0.87 (AUPRC = 0.51) and 0.86 (AUPRC = 0.47), respectively. Conclusions The KTS exhibited optimal performance characteristics for retrospectively predicting mortality in our cohort, outperforming other scoring tools. Notably, it is also the simplest scoring tool, featuring the fewest variables compared to other trauma severity assessments. These findings highlight the necessity for external validation of trauma scoring tools in resource-limited populations to ensure their applicability and effectiveness in trauma research across diverse healthcare settings.

Trauma Scores Show Limited Utility for Predicting In-Flight Deterioration in Air Medical Patients

ObjectiveThe aim of this study was to determine the utility of the Triage Revised Trauma Score (TRTS), Glasgow Coma Scale/Age/systolic Pressure (GAP) score, and Shock Index (SI) in predicting in-flight hypotension and the need for critical care interventions in air medical trauma patients. MethodsA retrospective review of 3,582 air medical trauma cases from a 3-year period in Queensland was conducted. An initial TRTS, GAP score, and SI were calculated for each patient, and the lowest in-flight mean arterial pressure and systolic blood pressure were determined. The institution of in-flight critical care interventions was also recorded, including fluid resuscitation, vasopressors, and surgical procedures. The utility of the TRTS, GAP score, and SI for predicting in-flight hypotension was then examined using receiver operating characteristic curves. ResultsAll 3 approaches showed minor predictive value, with the GAP score performing slightly better than TRTS and SI for predicting in-flight interventions. The GAP score had a receiver operating characteristic area under the curve of 0.76 compared with 0.74 for the TRTS and SI. ConclusionNo score demonstrated sufficient predictive ability for deterioration in transit to be used clinically.

The Effect of Corticosteroids on the Progression and Outcomes of Polytrauma in Children

Polytrauma in children are among the most common causes of death in the pediatric intensive care unit (ICU).The aim of this study was to evaluate the effect of systemic corticosteroids (SCS) on the progression, laboratory parameters, and outcomes of severe multiple injuries in children requiring ICU.Materials and methods. A retrospective, observational, multicenter (case-control and cross-sectional) study included 203 patients from pediatric ICUs across the Russian Federation. The Abbreviated Injury Scale (AIS) score was 36.81 (25–48), and the Pediatric Trauma Score (PTS) was 5.2 (2–8). SCS were administered to 113 (55.7%) children, 19 (9.36%) of whom died.Results. The most severe changes in laboratory parameters, such as an increase in amylase (35.3 vs. 18.3; P0.001) and activated partial thromboplastin time (APTT) (28.9 vs. 25.8; P0.001), were documented upon admission of children with multiple traumatic injuries to the hospital compared with subsequent days of treatment in the ICU. The average fluid volume (as a percentage of age-related fluid requirements) on the first day of treatment in the ICU was 118.53% and did not exceed 84.42% on subsequent days (P0.001). Higher systolic blood pressure (SBP) during the first three days of ICU treatment was observed in children treated without SCS. SBP tended to decrease by day 5, and then a tendency toward arterial hypertension emerged on days 6–7. In children treated with SCS, blood pressure remained stable during the first seven days in the ICU, contributing to a favorable outcome.Conclusion. The use of SCS in children with severe polytrauma from the first day of ICU treatment contributed to the stabilization of hemodynamic parameters and improved control of shock signs. A positive response to SCS in these patients can be considered a marker for a favorable disease course during ICU treatment.

Exploring the impact of biological sex on intrinsic connectivity networks in PTSD: A data-driven approach

IntroductionSex as a biological variable (SABV) may help to account for the differential development and expression of post-traumatic stress disorder (PTSD) symptoms among trauma-exposed males and females. Here, we investigate the impact of SABV on PTSD-related neural alterations in resting-state functional connectivity (rsFC) within three core intrinsic connectivity networks (ICNs): the salience network (SN), central executive network (CEN), and default mode network (DMN). MethodsUsing an independent component analysis (ICA), we compared rsFC of the SN, CEN, and DMN between males and females, with and without PTSD (n = 47 females with PTSD, n = 34 males with PTSD, n = 36 healthy control females, n = 20 healthy control males) via full factorial ANCOVAs. Additionally, linear regression analyses were conducted with clinical variables (i.e., PTSD and depression symptoms, childhood trauma scores) in order to determine intrinsic network connectivity characteristics specific to SABV. Furthermore, we utilized machine learning classification models to predict the biological sex and PTSD diagnosis of individual participants based on intrinsic network activity patterns. ResultsOur findings revealed differential network connectivity patterns based on SABV and PTSD diagnosis. Males with PTSD exhibited increased intra-SN (i.e., SN-anterior insula) rsFC and increased DMN-right superior parietal lobule/precuneus/superior occipital gyrus rsFC as compared to females with PTSD. There were also differential network connectivity patterns for comparisons between the PTSD and healthy control groups for males and females, separately. We did not observe significant correlations between clinical measures of interest and brain region clusters which displayed significant between group differences as a function of biological sex, thus further reinforcing that SABV analyses are likely not confounded by these variables. Furthermore, machine learning classification models accurately predicted biological sex and PTSD diagnosis among novel/unseen participants based on ICN activation patterns. ConclusionThis study reveals groundbreaking insights surrounding the impact of SABV on PTSD-related ICN alterations using data-driven methods. Our discoveries contribute to further defining neurobiological markers of PTSD among females and males and may offer guidance for differential sex-related treatment needs.

Pediatric BIG Score versus Pediatric Trauma Score in Prediction of Mortality in Pediatric Polytrauma

Pediatric BIG Score versus Pediatric Trauma Score in Prediction of Mortality in Pediatric Polytrauma

An Evaluation of the Precision of Ocular Trauma Score and Factors for Poor Visual Outcomes in Open Globe Injury: A Retrospective Analysis of Resourcelimited Hospital Settings

Objective: To evaluate the accuracy and validity of ocular trauma scores (OTS) among patients with open globe injury (OGI) in rural hospital settings and to identify the determinants predicting poor visual outcomes. Materials and Methods: A single-center retrospective cohort study was conducted through a chart review of OGI patients between July 2018 and June 2023 at Bueng Kan Hospital. Demographic and preoperative factors affecting the final visual outcome were evaluated. OTS score for each patient was calculated and categorized. Final VA after 6 months was compared to the predicted VA from OTS study. Poor visual outcome was defined as legal blindness after 6 months of treatment. Results: Thirty-nine eyes from patients with a mean age of 44.05 years were evaluated. Most subjects were male (94.87%), and workplace injuries were the most common (78.38%). Compared to the OTS study, patients in OTS category 2 achieved a significantly higher percentage of better final VA, while categories 3 and 4 showed similar outcomes. OTS category 1 patients had a lower proportion of no light perception (NLP) outcomes, though the difference was not significant. Poor visual outcomes were predicted by initial VA (OR=4.64), wound extension ≥10 mm (OR=20.66), and lens injury (OR=7.44). Conclusion: OTS is beneficial for predicting final vision in patients with OGI, particularly with less severe trauma. Severe cases often lead to better visual outcomes, emphasizing the need for cautious management and counseling by ophthalmologists. Factors that estimate poor visual outcomes involve poor initial VA, wound extension  10 mm, and lens damage.

Descriptive analysis of road traffic accidents in children aged 0-2 years

Aims: This study aims to investigate road traffic accidents (RTAs) involving infants and toddlers, defined as children from birth to 2 years old, focusing specifically on their epidemiology and outcomes. Methods: A retrospective, single-center, observational, and cross-sectional study was conducted in the Emergency Department of a university-affiliated training and research hospital. Data were collected from July 1, 2019, to January 1, 2024. Results: During the study period, 659 cases involved pediatric RTAs patients (individuals under 17 years old), with 41 cases specifically concerning infants and toddlers. These patients had a mean age of 12.98 ± 5.64 months, and 27 (65.9%) were boys. The median Pediatric Trauma Score for was 9 (range: 5-12) while the median pGCS score was 15 (range: 14-15). Motor vehicle accidents were the leading cause of injuries, accounting for 92.6% of cases, followed by motorcycle accidents (4.8%) and pedestrian-vehicle collisions (2.6%). Hospitalized patients exhibited various injuries, including femur fractures, subdural hematoma, orbital roof fracture, scalp hematomas, and lung contusion. Surgical intervention was required in only one case for a femur shaft fracture. Fortunately, no in-hospital deaths occurred among the study participants. Conclusion: This study underscores the importance of adult supervision to prevent RTAs and emphasizes the critical need for strict enforcement of child passenger safety laws to reduce the incidence of motor vehicle accidents involving infants and toddlers.

Enhancing Performance of the National Field Triage Guidelines Using Machine Learning: Development of a Prehospital Triage Model to Predict Severe Trauma.

Prehospital trauma triage is essential to get the right patient to the right hospital. However, the national field triage guidelines proposed by the American College of Surgeons have proven to be relatively insensitive when identifying severe traumas. This study aimed to build a prehospital triage model to predict severe trauma and enhance the performance of the national field triage guidelines. This was a multisite prediction study, and the data were extracted from the National Trauma Data Bank between 2017 and 2019. All patients with injury, aged 16 years of age or older, and transported by ambulance from the injury scene to any trauma center were potentially eligible. The data were divided into training, internal, and external validation sets of 672,309; 288,134; and 508,703 patients, respectively. As the national field triage guidelines recommended, age, 7 vital signs, and 8 injury patterns at the prehospital stage were included as candidate variables for model development. Outcomes were severe trauma with an Injured Severity Score ≥16 (primary) and critical resource use within 24 hours of emergency department arrival (secondary). The triage model was developed using an extreme gradient boosting model and Shapley additive explanation analysis. The model's accuracy regarding discrimination, calibration, and clinical benefit was assessed. At a fixed specificity of 0.5, the model showed a sensitivity of 0.799 (95% CI 0.797-0.801), an undertriage rate of 0.080 (95% CI 0.079-0.081), and an overtriage rate of 0.743 (95% CI 0.742-0.743) for predicting severe trauma. The model showed a sensitivity of 0.774 (95% CI 0.772-0.776), an undertriage rate of 0.158 (95% CI 0.157-0.159), and an overtriage rate of 0.609 (95% CI 0.608-0.609) when predicting critical resource use, fixed at 0.5 specificity. The triage model's areas under the curve were 0.755 (95% CI 0.753-0.757) for severe trauma prediction and 0.736 (95% CI 0.734-0.737) for critical resource use prediction. The triage model's performance was better than those of the Glasgow Coma Score, Prehospital Index, revised trauma score, and the 2011 national field triage guidelines RED criteria. The model's performance was consistent in the 2 validation sets. The prehospital triage model is promising for predicting severe trauma and achieving an undertriage rate of <10%. Moreover, machine learning enhances the performance of field triage guidelines.

An update of the severe trauma scoring system using the Korean National Emergency Department Information System (NEDIS) database

BackgroundVarious scoring systems are utilized to assess severe trauma patients, with one of the most commonly used tools being the International Classification of Diseases Injury Severity Score (ICISS) criteria derived from the Survival Risk Ratio (SRR) calculated using diagnostic codes. This study aimed to redefine the severe trauma scoring system in Korea based on the SRR for diagnostic codes, and subsequently evaluate its performance in predicting survival outcomes for trauma patients. MethodsThis study included trauma patients who visited Level 1 and 2 emergency departments (EDs) between January 2016 and December 2019, utilizing the Korean National Emergency Department Information System (NEDIS) database. The primary outcome of this study was in-hospital mortality. The new SRR-2020 value was calculated for each of the 865 trauma diagnosis codes (Korean Standard Classification of Diseases [KCD-7] codes, 4-digit format), and the patient-specific ICISS-2020 value was derived by multiplying the corresponding SRR-2020 value based on patient diagnosis. We compared the predictive performance for in-hospital mortality between severe trauma patients with an ICISS <0.9 based on the newly developed ICISS-2020 version and those defined by the previously used ICISS-2015 version. ResultsA total of 3,841,122 patients were enrolled, with an in-hospital mortality rate of 0.5 %. Severe trauma patients with ICISS-2020 < 0.9 accounted for 5.3 % (204,897 cases) that was lower than ICISS-2015 < 0.9 accounting for 15.3 % (587,801 cases). Among the 20,619 in-hospital mortality cases, 81.4 % had ICISS-2020 < 0.9, and 88.6 % had ICISS-2015 < 0.9. When comparing predictive performance for in-hospital mortality between the two ICISS versions, ICISS-2020 showed higher accuracy (0.95), specificity (0.95), positive predictive value (PPV) (0.08), positive likelihood ratio (LR+) (16.53), and area under the receiver operating characteristic curve (AUROC) (0.96) than ICISS-2015 for accuracy (0.85), sensitivity (0.88), specificity (0.85), PPV (0.03), LR+ (5.94), and AUROC (0.94). However, regarding sensitivity, ICISS-2020 < 0.9 showed a lower value of 0.81 compared to ICISS-2015 < 0.9, which was 0.88. The negative predictive value (NPV) was 1.00 for both versions. ConclusionsThe newly developed ICISS-2020, utilizing a nationwide emergency patient database, demonstrated relatively good performance (accuracy, specificity, PPV, LR+, and AUROC) in predicting survival outcomes for patients with trauma.

Comparing NEWS2, TRISS, RTS, SI, GAP, and MGAP in predicting early and total mortality rates in trauma patients based on emergency department data set: A diagnostic study

IntroductionIn the global context, trauma remains a significant cause of mortality, particularly among individuals under 50 years old with mortality and morbidity. Timely assessment, efficient triage, and appropriate post-trauma care can help mitigate long-term mortality and morbidity risks. While the trauma and injury severity score (TRISS) is considered accurate, its complexity limits clinical utility, prompting the development of new tools like the National Early Warning Score 2 (NEWS2) and others. Thus, this study aims to evaluate the predictive abilities of NEWS2, RTS (revised trauma score), TRISS, SI (shock index), GAP (Glasgow coma score, age, and systolic blood pressure), and MGAP (mechanism of injury, Glasgow coma score, age, and systolic blood pressure) scoring systems in trauma patient care to enhance outcomes and reduce mortality and morbidity rates. MethodsThis retrospective diagnostic study included a total of 6894 trauma patients with data collected from the emergency department. Patient information, including vital signs and demographic data, was recorded on datasheets completed by ED staff. Ethical guidelines were followed, and patient consent forms were not required due to the study's retrospective nature. Scoring systems such as NEWS2, RTS, TRISS, SI, GAP, and MGAP were calculated and interpreted based on specific formulas and scoring charts. ResultsOf 6894 patients, 2.83% died during hospitalization, and 0.72% within the first 24 hours. Factors associated with mortality included age, cause of injury, duration of hospitalization, and various physiological parameters. The majority of scoring systems are reliable in predicting mortality, except for the sock index (SI), with NEWS2 demonstrating the highest sensitivity and accuracy for predicting mortality rates, while TRISS and RTS were the most specific. GAP was also the most competent predictor of overall mortality. ConclusionMost scoring systems effectively predict mortality, with TRISS and NEWS2 demonstrating high sensitivity and specificity together in forecasting in-hospital mortality. NEWS2 stands out as a precise tool for mortality prediction in the emergency department due to its simplicity and quick application. However, further research is needed to identify the most effective predictive system in trauma patients.

Primary and secondary trauma in adoptive parents.

Secondary trauma is recognised as one of the negative effects for professionals working with people that have experienced trauma. Research has demonstrated secondary trauma in foster carers but little research has explored trauma symptoms within adoptive parents, facing the emotional impact of parenting a child with adverse early experiences. This study aimed to document the rates of primary and secondary trauma symptoms in adoptive parents. It further explores the association between the extent of current behavioural and emotional challenges and the extent of the child's pre-adoption adverse experiences in predicting parental trauma responses. 190 adoptive parents completed an online survey including self-report measures of primary and secondary trauma. Almost one fifth of adoptive parents exhibited primary trauma scores of clinical concern; with 10% reaching the threshold for a probable diagnosis of PTSD. Participants also reported significantly higher levels of secondary trauma and burnout, and significantly lower levels of compassion satisfaction than population norms. The current behavioural and emotional challenges, including child-to-parent violence, predicted higher trauma scores more so than the extent of their child's past adverse experiences. The findings have clinical implications for identifying trauma symptoms within adoptive parents and wider implications for how we understand secondary and primary trauma. They further highlight the importance of firstly addressing current child behaviour, including child-to-parent violence when treating trauma symptoms. Limitations of this study and recommendations for further research are discussed.