UNASSIGNED: Artificial intelligence (AI) has transformative potential to support prehospital clinicians, emergency physicians, and trauma surgeons in acute traumatic injury care. This scoping review examines the literature evaluating AI models using prehospital features to support early traumatic injury care.
UNASSIGNED: We conducted a systematic search in August 2023 of PubMed, Embase, and Web of Science. Two independent reviewers screened titles/abstracts, with a third reviewer for adjudication, followed by a full-text analysis. We included original research and conference presentations evaluating AI models-machine learning (ML), deep learning (DL), and natural language processing (NLP)-that used prehospital features or features available immediately upon emergency department arrival. Review articles were excluded. The same investigators extracted data and systematically categorized outcomes to ensure consistency and transparency. We calculated kappa for interrater reliability and descriptive statistics.
UNASSIGNED: We identified 1050 unique publications, with 49 meeting inclusion criteria after title and abstract review (kappa 0.58) and full-text review. Publications increased annually from 2 in 2007 to 10 in 2022. Geographic analysis revealed a 61% focus on data from the United States. Studies were predominantly retrospective (88%), used local (45%) or national level (41%) data, focused on adults only (59%) or did not specify adults or pediatrics (27%), and 57% encompassed both blunt and penetrating injury mechanisms. The majority used machine learning (88%) alone or in conjunction with DL or NLP, and the top three algorithms used were support vector machine, logistic regression, and random forest. The most common study objectives were to predict the need for critical care and life-saving interventions (29%), assist in triage (22%), and predict survival (20%).
UNASSIGNED: A small but growing body of literature described AI models based on prehospital features that may support decisions made by dispatchers, Emergency Medical Services clinicians, and trauma teams in early traumatic injury care.

Cold agglutinins are autoantibodies that can cause primary hemolytic anemia and RBC agglutination syndrome. Secondary agglutination of RBCs may be found in hypothermia, as well as in cancers, infections, and traumatic injuries. This report presents the case of a 37-year-old man who suffered multiple injuries in a motorcycle accident. On admission, the patient\'s laboratory tests showed a high concentration of cold agglutinins associated with low RBC count, hemoglobin, and hematocrit, and elevated mean corpuscular hemoglobin and mean corpuscular volume. Intravenous immunoglobulin treatment was effective at reversing the abnormal blood parameters to normal. Unlike acute blood loss, which typically manifests with normal hemoglobin and hematocrit levels initially due to proportional loss of plasma and red cells, the presence of cold agglutinins can lead to abnormal agglutination and sequestration of RBCs, with low hemoglobin and hematocrit. The findings of this case report highlight the importance of recognizing cold agglutinins in trauma patients to avoid misdiagnosis and misinterpretation of laboratory results.

UNASSIGNED: Effective vascular anastomosis is crucial for successful hand surgery, particularly in traumatic injuries where rapid restoration of blood flow is essential. The Synovis microvascular anastomotic coupler system presents a novel approach by potentially offering faster and more reliable outcomes than traditional suturing methods. This study was conducted to assess the effectiveness and safety of the Synovis coupler for microvascular anastomoses in the wrist, evaluating anastomosis time, patency rates, and complication rates.
UNASSIGNED: This retrospective study examined 25 microvascular anastomoses (22 arteries and 3 veins) in 24 patients at a major trauma center. The primary outcomes measured were anastomosis time and vascular patency, which were assessed immediately post-operation and at subsequent follow-ups.
UNASSIGNED: The average time required for anastomosis using the coupler was 7.3 min. Immediate post-operative vascular patency was 100%, with a long-term patency rate of 88%. Complications included arterial narrowing at the coupler site in 3 arteries, and complete occlusion in 3 arteries, accounting for a 12% long-term complication rate.
UNASSIGNED: Although the Synovis coupler demonstrated a significant reduction in anastomosis time and high patency rates, our data suggest that its effectiveness is more pronounced in venous anastomoses. The higher complication rates in arterial anastomoses warrant cautious use in these cases. Further research, including prospective randomized controlled trials, is needed to validate these findings and optimize patient selection criteria for using couplers in microvascular surgery.

Millions of microorganisms make up the complex microbial ecosystem found in the human gut. The immune system\'s interaction with the gut microbiota is essential for preventing inflammation and maintaining intestinal homeostasis. Numerous metabolic products that can cross-talk between immune cells and the gut epithelium are metabolized by the gut microbiota. Traumatic injury elicits a great and multifaceted immune response in the minutes after the initial offense, containing simultaneous pro- and anti-inflammatory responses. The development of innovative therapies that improve patient outcomes depends on the gut microbiota and immunological responses to trauma. The altered makeup of gut microbes, or gut dysbiosis, can also dysregulate immunological responses, resulting in inflammation. Major human diseases may become more common as a result of chronic dysbiosis and the translocation of bacteria and the products of their metabolism beyond the mucosal barrier. In this review, we briefly summarize the interactions between the gut microbiota and the immune system and human disease and their therapeutic probiotic formulations. We also discuss the immune response to traumatic injury.

UNASSIGNED: Several studies have linked traumatic injury and cardiovascular disease. However, few studies have investigated the associations between traumatic injury and cardiovascular disease subtypes. We aimed to prospectively examine the association between traumatic injury and the risk of incident myocardial infarction (MI) and stroke.
UNASSIGNED: This study was based on a prospective cohort study that included 13,973 patients who had been hospitalized for traumatic injuries from 1980 to 2020. We randomly selected 4 uninjured participants from the cohort study for each patient as controls matched by age ( ± 3 years) and sex. All participants were free of MI and stroke at enrollment. Cox regression was used to examine the association between traumatic injury and incident MI and stroke.
UNASSIGNED: During a median follow-up period of 13.5 years, 1032 cases of MI and 4068 cases of stroke were recorded. After multivariable adjustment, relative to controls, patients with severe injury had the highest hazard ratio (HR) for MI (HR = 1.93; 95% CI: 1.26-2.96) and stroke (HR = 1.60; 95% CI: 1.25-2.05). The HRs of MI and stroke were 0.97 (0.81-1.17) and 1.11 (1.02-1.21) for patients with mild injury and 1.28 (0.97-1.69) and 1.22 (1.06 to 1.41) for patients with moderate injury. Additionally, patients with older age at injury and chest injury had a higher HR for MI and stroke (p-interaction < 0.05).
UNASSIGNED: Traumatic injury appears to be associated with an increased risk of incident MI and stroke. Therefore, early screening and prevention of MI and stroke following a traumatic injury are needed.

OBJECTIVE: Major trauma \'Rehabilitation Prescriptions\' aim to facilitate continuity of care and describe patient needs following discharge from UK Major Trauma Centre (MTCs), however research suggests rehabilitation prescriptions are not being implemented as intended. We aimed to identify factors influencing completion and use of rehabilitation prescriptions using the Behaviour Change Wheel (BCW) and Theoretical Domains Framework (TDF).
METHODS: Online survey informed by the TDF and BCW.
METHODS: UK trauma rehabilitation pathway.
METHODS: Rehabilitation and trauma service providers involved in completing and/or using rehabilitation prescriptions (n = 78).
METHODS: Mean scores were calculated for TDF behavioural domains, identifying facilitators (score ≥5) and barriers (≤3.5) to rehabilitation prescription implementation. Thematic analysis of free text data informed by the BCW/TDF identified further facilitators and barriers, plus potential behaviour change strategies.
RESULTS: Most respondents worked in UK MTCs (n = 63) and were physiotherapists (n = 34), trauma rehabilitation coordinators (n = 16) or occupational therapists (n = 15). \'Social/professional role and identity\', \'knowledge\' and \'emotion\' (the highest-scoring TDF domains) were facilitators to implementing rehabilitation prescriptions. Qualitative data identified barriers to rehabilitation prescription completion, including \'seen as tick-box exercise\',\'not a priority\', lack of resources (IT and workforce), poor inter-service communication, limited knowledge/training. Facilitators included therapist buy-in, standardised training, easy inter-service rehabilitation prescription transfer, usefulness for sharing patient needs.
CONCLUSIONS: Although rehabilitation prescriptions are valued by some service providers, their effectiveness is hindered by negative attitudes, limited knowledge and poor communication. Uncertainties exist about whether rehabilitation prescriptions achieve their goals, particularly in documenting patient needs, engaging patients in rehabilitation, and informing onward referrals following MTC discharge. Improving IT systems, empowering patients, redirecting funding, and providing training might improve their usage. Further research should explore service provider and patient perspectives, and prospective long-term follow-up on outcomes of rehabilitation prescription recommendations.

One of the primary goals in traumatic brain injury (TBI) treatment is to minimize secondary brain damage and promote neuroprotection. In TBI rehabilitation, we seek to facilitate neurologic recovery and restore what independence is possible given a patient\'s physical and cognitive impairments. These goals must be balanced with treatment of the various symptoms that may occur following TBI. This is challenging given the fact that many of the typical treatments for certain symptoms also come with side effects which could be problematic in the TBI population.

BACKGROUND: Posttraumatic stress disorder (PTSD) is a common consequence of traumatic injury, yet certain biological factors contributing to PTSD are poorly understood. The gut microbiome may influence mental health outcomes, but its role in heterogeneous PTSD presentations requires elucidation.
METHODS: Bacterial composition was examined in adults 2-4 years post-trauma with probable PTSD (n = 24) versus trauma-exposed controls without probable PTSD (n = 24). 16S rRNA sequencing and bioinformatic tools assessed microbial diversity and abundance. Relationships between taxa and PTSD symptom clusters were evaluated.
RESULTS: No differences were found in overall microbial community structure between groups. The probable PTSD group exhibited significantly reduced Actinobacteriota and increased Verrucomicrobiota phylum abundance compared to controls. Specific taxa showed notable inverse associations with negative mood/cognition versus hyperarousal symptoms. Prevotella and Ruminococcaceae were negatively associated with negative mood but positively associated with hyperarousal.
CONCLUSIONS: Results demonstrate microbial signatures of probable PTSD subtypes, highlighting the microbiome as a potential mediator of heterogeneous trauma psychopathology. Definition of PTSD microbial correlates provides a foundation for personalized psychobiotic interventions targeting predominant symptom profiles.

OBJECTIVE: We evaluated the risk of traumatic injury in patients with narcolepsy compared to the general population.
METHODS: We conducted a population-based matched cohort study using a Japanese health insurance claims database. For each patient with narcolepsy, up to 5 individuals from the general population without narcolepsy were matched by variables such as sex, age, and cohort entry month. The primary outcome was traumatic injury, and the secondary outcome was fracture. The study population was followed for up to 5 years from the cohort entry date. We estimated crude incidence rates, adjusted incidence rate differences (aIRDs), adjusted hazard ratios (aHRs), and their 95% confidence intervals (CIs) for study outcomes using crude and multivariable Poisson and Cox regression models.
RESULTS: We included 2,451 patients with narcolepsy (mean age, 30.3 years; male, 58.0%) and 10,591 matched individuals (mean age, 30.6 years; male, 58.4%). Crude incidence rate of traumatic injury was 11.4 per 100 person-years for patients with narcolepsy compared with 6.2 per 100 person-years for matched individuals (aIRD, 6.2 excess events per 100 person-years [95% CI, 4.9-7.4]; aHR, 1.8 [95% CI, 1.5-2.2]). Crude incidence rate of fracture was 2.3 per 100 person-years for patients with narcolepsy compared with 1.3 per 100 person-years for matched individuals (aIRD, 1.2 excess events per 100 person-years [95% CI, 0.7-1.7]; aHR, 1.7 [95% CI, 1.4-2.1]).
CONCLUSIONS: Narcolepsy was associated with increased risk of traumatic injury. For patients with narcolepsy, optimized approaches to injury prevention should be considered.

UNASSIGNED: Various prediction scores have been developed to predict mortality in trauma patients, such as the shock index (SI), modified SI (mSI), age-adjusted SI (aSI), and the shock index (SI) multiplied by the alert/verbal/painful/unresponsive (AVPU) score (SIAVPU). The SIAVPU is a novel scoring system but its prediction accuracy for trauma outcomes remains in need of further validation. Therefore, we investigated the accuracy of four scoring systems, including SI, mSI, aSI, and SIAVPU, in predicting mortality, admission to the intensive care unit (ICU), and prolonged hospital length of stay ≥ 30 days (LOS).
UNASSIGNED: This retrospective multicenter study used data from the Tzu Chi Hospital trauma database. The area under the receiver operating characteristic curve (AUROC) was determined for each outcome to assess their discrimination capabilities and comparing by Delong\'s test. Subgroup analyses were conducted to investigate the prediction accuracy of the SIAVPU in different patient populations.
UNASSIGNED: In total, 5355 patients were included in the analysis. The median of SIAVPU were significantly higher among patients at those with major injury (1.47 vs 0.63), those admitted to the ICU (0.73 vs 0.62), those with prolonged hospital LOS≥ 30 days (0.83 vs 0.64), and those with mortality (1.08 vs 0.64). The AUROC of the SIAVPU was significantly higher than that of the SI, mSI, and aSI for 24-h mortality (AUROC: 0.845 vs 0.533, 0.540, and 0.678), 3-day mortality (AUROC: 0.803 vs 0.513, 0.524, and 0.688), 7-day mortality (AUROC: 0.755 vs 0.494, 0.505, and 0.648), in-hospital mortality (AUROC: 0.722 vs 0.510, 0.524, and 0.667), ICU admission (AUROC: 0.635 vs 0.547, 0.551, and 0.563). At the optimal cutoff value of 0.9, the SIAVPU had an accuracy of 82.2% for predicting 24-h mortality, 82.8% for predicting 3-day mortality, of 82.8% for predicting 7-day mortality, of 82.5% for predicting in-hospital mortality, of 73.9% for predicting Intensive Care Unit (ICU) admission, and of 81.7% for predicting prolonged hospital LOS ≥30 days.
UNASSIGNED: Our results reveal that SIAVPU has better accuracy than the SI, mSI, and aSI for predicting 24-h, 3-day, 7-day, and in-hospital mortality; ICU admission; and prolonged hospital LOS ≥30 days among patients with traumatic injury.