BACKGROUND: The war in Ukraine provides purposefully anesthesiologists and intensivists with important data for improving the management of trauma patients. This scoping review aims to investigate the specific management of war-related trauma patients, during the war in Ukraine, through an objective and comprehensive analysis.
METHODS: A comprehensive search of the Embase, Medline, and Open Grey databases from 2014 to February 2024 yielded studies focusing on anesthesia and surgery. These studies were assessed by PRISMA and STROBE criteria and needed to discuss anesthesiology and surgical procedures.
RESULTS: Of the 519 studies identified, 21 were included, with a low overall level of evidence. The studies covered 11622 patients and 2470 surgical procedures. Most patients were Ukrainian men, 25 to 63 years old, who had sustained severe injuries from high-energy weapons, such as multiple rocket systems and combat drones. These injuries included major abdominal, facial, and extremity traumas. The surgical procedures varied from initial debridement to complex reconstructions. Anesthesia management faced significant challenges, including resource scarcity and the need for quick adaptability.Evacuations of casualties were lengthy, complex, and often involved rail transportation. Hemorrhage control with tourniquets was critical but associated with many complications. The very frequent presence of multi-resistant organisms required dedicated preventive measures and appropriated treatments. The need for qualified human resources underscored the importance of civilian-military cooperation.
CONCLUSIONS: This scoping review provides original and relevant insights on the lessons learned from the ongoing war in Ukraine, which could be useful for anesthesiologists and intensivists.

UNASSIGNED: Differences in amyloid positron emission tomography (PET) radiotracer pharmacokinetics and binding properties lead to discrepancies in amyloid-β uptake estimates. Harmonization of tracer-specific biases is crucial for optimal performance of downstream tasks. Here, we investigated the efficacy of ComBat, a data-driven harmonization model, for reducing tracer-specific biases in regional amyloid PET measurements from [18F]-florbetapir (FBP) and [11C]-Pittsburgh Compound-B (PiB).
UNASSIGNED: One-hundred-thirteen head-to-head FBP-PiB scan pairs, scanned from the same subject within ninety days, were selected from the Open Access Series of Imaging Studies 3 (OASIS-3) dataset. The Centiloid scale, ComBat with no covariates, ComBat with biological covariates, and GAM-ComBat with biological covariates were used to harmonize both global and regional amyloid standardized uptake value ratios (SUVR). Intraclass correlation coefficient (ICC) and mean standardized absolute error (MsAE) were computed to measure the absolute agreement between tracers. Additionally, longitudinal amyloid SUVRs from an anti-amyloid drug trial were simulated using linear mixed effects modeling. Differences in rates-of-change between simulated treatment and placebo groups were tested, and change in statistical power/Type-I error after harmonization was quantified.
UNASSIGNED: In the head-to-head tracer comparison, the best ICC and MsAE were achieved after harmonizing with ComBat with no covariates for the global summary SUVR. ComBat with no covariates also performed the best in harmonizing regional SUVRs. In the clinical trial simulation, harmonization with both Centiloid and ComBat increased statistical power of detecting true rate-of-change differences between groups and decreased false discovery rate in the absence of a treatment effect. The greatest benefit of harmonization was observed when groups exhibited differing FPB-to-PiB proportions.
UNASSIGNED: ComBat outperformed the Centiloid scale in harmonizing both global and regional amyloid estimates. Additionally, ComBat improved the detection of rate-of-change differences between clinical trial groups. Our findings suggest that ComBat is a viable alternative to Centiloid for harmonizing regional amyloid PET analyses.

UNASSIGNED: A significant portion of individuals exposed to combat-related trauma will develop posttraumatic stress disorder (PTSD), a severe, debilitating disorder with adverse impacts on both mental and physical functioning. Current treatments are effective for many individuals, however, there is a need for new treatment approaches to improve outcomes in PTSD and address the many existing barriers to seeking or completing treatment.
UNASSIGNED: In this open trial pilot study, we tested a novel, brief, computer-based intervention for PTSD utilizing \"affect labeling\" that was inspired by recent advances in neuroscience with U.S. veterans.
UNASSIGNED: As expected, pre-intervention clinical and fMRI neuroimaging data indicated that U.S. veterans with combat-related PTSD (N = 20) had significantly higher PTSD symptoms, depression symptoms, and amygdala reactivity to trauma cues than trauma-exposed healthy control veterans (N = 20). Veterans with PTSD who completed the affect labeling intervention (N = 13) evidenced reduced PTSD symptoms and these reductions were correlated with reductions in amygdala reactivity.
UNASSIGNED: Results from this initial proof-of-concept study are intriguing and suggest that affect labeling training offers significant potential as a novel, cost-effective, computer-based intervention for PTSD. Implications and next steps for further developing affect labeling interventions for PTSD are discussed.
UNASSIGNED: https://clinicaltrials.gov/, identifier NCT05924399.

Combat soldiers are exposed to various potentially traumatic events and face high risk of developing military-related psychopathology, such as depression, posttraumatic stress and grief (PTSS). However, a strong body of research shows that resilience is the default in the aftermath of trauma and indeed, many veterans do not develop high symptomatic levels. To explicate this inconsistency, the current study examined the associations among PTSS, resilience, and patterns of emotional-approach coping. A sample of 595 male combat veterans filled out questionnaires on trauma exposure, PTSS, depressive symptoms, resilience, and emotional-approach coping. Their data were analyzed using structural equation modeling path analysis. Participants reported high exposure to potentially traumatic events during service. Mean scores were high for resilience and relatively low for PTSS and depressive symptoms; 13% had a clinical level of posttraumatic stress disorder. Structural equation modeling revealed that emotional-approach coping strategies mediated the relationship between resilience and PTSS. However, emotional expression was associated with lower PTSS levels, whereas emotional processing was associated with higher PTSS levels. These results suggest that although emotional-approach coping was related to higher resilience, emotional expression (an intrapersonal coping strategy) might have a more positive effect than self-oriented emotional coping strategies. Providing veterans with supportive opportunities and a wider repertoire of emotional coping skills might enhance their well-being, reduce postservice emotional distress while not harming veterans\' resilience levels.

UNASSIGNED: Among combat injured, invasive fungal infections (IFIs) result in significant morbidity. Cultures and histopathology are the primary diagnostic methods for IFIs, but they have limitations. We previously evaluated a panfungal polymerase chain reaction assay, which was 83% sensitive and 99% specific for angioinvasive IFIs. Here, we evaluated 3 less resource-intensive seminested assays targeting clinically relevant fungi in the order Mucorales and genera Aspergillus and Fusarium.
UNASSIGNED: Formalin-fixed paraffin-embedded tissue specimens from a multicenter trauma IFI cohort (2009-2014) were used. Cases were US military personnel injured in Afghanistan with histopathologic IFI evidence. Controls were patients with similar injury patterns and no laboratory IFI evidence (negative culture and histopathology). Seminested assays specific to Mucorales (V4/V5 regions of 18S rDNA), Aspergillus (mitochondrial tRNA), and Fusarium (internal transcribed spacer [ITS]/28A regions of DNA) were compared with a panfungal assay amplifying the internal transcribed spacer 2 region of rDNA and to histopathology.
UNASSIGNED: Specimens from 92 injury sites (62 subjects) were compared with control specimens from 117 injuries (101 subjects). We observed substantial agreement between the seminested and panfungal assays overall, especially for the order Mucorales. Moderate agreement was observed at the genus level for Aspergillus and Fusarium. When compared with histopathology, sensitivity and specificity of seminested assays were 67.4% and 96.6%, respectively (sensitivity increased to 91.7% when restricted to sites with angioinvasion).
UNASSIGNED: Prior studies of seminested molecular diagnostics have focused on culture-negative samples from immunocompromised patients. Our findings underscore the utility of the seminested approach in diagnosing soft-tissue IFIs using formalin-fixed paraffin-embedded tissue samples, especially with angioinvasion.

BACKGROUND: Thoracic trauma occurs frequently in combat and is associated with high mortality. Tube thoracostomy (chest tube) is the treatment for pneumothorax resulting from thoracic trauma, but little data exist to characterize combat casualties undergoing this intervention. We sought to describe the incidence of these injuries and procedures to inform training and materiel development priorities.
METHODS: This is a secondary analysis of a Department of Defense Trauma Registry (DoDTR) data set from 2007 to 2020 describing prehospital care within all theaters in the registry. We described all casualties who received a tube thoracostomy within 24 hours of admission to a military treatment facility. Variables described included casualty demographics; abbreviated injury scale (AIS) score by body region, presented as binary serious (=3) or not serious (<3); and prehospital interventions.
RESULTS: The database identified 25,897 casualties, 2,178 (8.4%) of whom received a tube thoracostomy within 24 hours of admission. Of those casualties, the body regions with the highest proportions of common serious injury (AIS >3) were thorax 62% (1,351), extremities 29% (629), abdomen 22% (473), and head/neck 22% (473). Of those casualties, 13% (276) had prehospital needle thoracostomies performed, and 19% (416) had limb tourniquets placed. Most of the patients were male (97%), partner forces members or humanitarian casualties (70%), and survived to discharge (87%).
CONCLUSIONS: Combat casualties with chest trauma often have multiple injuries complicating prehospital and hospital care. Explosions and gunshot wounds are common mechanisms of injury associated with the need for tube thoracostomy, and these interventions are often performed by enlisted medical personnel. Future efforts should be made to provide a correlation between chest interventions and pneumothorax management in prehospital thoracic trauma.

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Prior research has established the psychometric properties of the Critical Warzone Experiences (CWE) scale among post-9/11 Iraq/Afghanistan-era veterans; however, the psychometric properties of the CWE among Gulf War I-era veterans have not yet been established. The first objective of the present study was to examine the psychometric properties of the CWE among Gulf War I-era veterans. The second objective was to test the hypothesis that the CWE would have a significant indirect effect on suicidal thoughts and behaviors via posttraumatic stress disorder (PTSD) and depressive symptoms. To test these hypotheses, a survey packet that included the CWE and measures of PTSD symptoms, depressive symptoms, and suicidal thoughts and behaviors was administered to 1,153 Gulf War I-era veterans. Consistent with prior research in post-9/11 Iraq/Afghanistan-era veterans, the CWE exhibited good internal consistency (α = .85), a unidimensional factor structure (RMSEA = .056, CFI = .959, SRMR = .033; average factor loading = .69), and good concurrent validity with PTSD (r = .47, p < .001) and depressive (r = .31, p < .001) symptoms among Gulf War I-era veterans. Additionally, as hypothesized, a significant indirect effect from the CWE to suicidal thoughts and behaviors via PTSD and depressive symptoms (β = .35, p < .001) was also observed. Taken together, our findings provide strong support for using the CWE with Gulf War I-era veterans.

BACKGROUND: This study investigated whether the Combat compensation method can remove the variability of radiomic features extracted from different scanners, while also examining its impact on the subsequent predictive performance of machine learning models.
METHODS: 135 CT images of Credence Cartridge Radiomic phantoms were collected and screened from three scanners manufactured by Siemens, Philips, and GE. 100 radiomic features were extracted and 20 radiomic features were screened according to the Lasso regression method. The radiomic features extracted from the rubber and resin-filled regions in the cartridges were labeled into different categories for evaluating the performance of the machine learning model. Radiomics features were divided into three groups based on the different scanner manufacturers. The radiomic features were randomly divided into training and test sets with a ratio of 8:2. Five machine learning models (lasso, logistic regression, random forest, support vector machine, neural network) were employed to evaluate the impact of Combat on radiomic features. The variability among radiomic features were assessed using analysis of variance (ANOVA) and principal component analysis (PCA). Accuracy, precision, recall, and area under the receiver curve (AUC) were used as evaluation metrics for model classification.
RESULTS: The principal component and ANOVA analysis results show that the variability of different scanner manufacturers in radiomic features was removed (P˃0.05). After harmonization with the Combat algorithm, the distributions of radiomic features were aligned in terms of location and scale. The performance of machine learning models for classification improved, with the Random Forest model showing the most significant enhancement. The AUC value increased from 0.88 to 0.92.
CONCLUSIONS: The Combat algorithm has reduced variability in radiomic features from different scanners. In the phantom CT dataset, it appears that the machine learning model\'s classification performance may have improved after Combat harmonization. However, further investigation and validation are required to fully comprehend Combat\'s impact on radiomic features in medical imaging.

OBJECTIVE: Combat deployment increases exposure to potentially traumatic events. Perceived social support (PSS) may promote health and recovery from combat trauma. This systematic review and meta-analysis aimed to synthesize studies investigating the level of PSS and associated factors among (ex-)military personnel who served in the Iraq/Afghanistan conflicts.
METHODS: Five electronic databases were searched in August 2023 and searches were restricted to the beginning of the Iraq/Afghanistan conflicts in 2001. The search was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A quality assessment was carried out, and a meta-analysis and narrative synthesis were performed.
RESULTS: In total, 35 papers consisting of 19,073 participants were included. Of these, 31 studies were conducted in the United States (US) and 23 were cross-sectional. The pooled mean PSS score was 54.40 (95% CI: 51.78 to 57.01). Samples with probable post-traumatic stress disorder had a lower mean PSS score (44.40, 95% CI: 39.10 to 49.70). Approximately half of the included studies (n = 19) investigated mental health in relation to PSS, whilst only four explored physical health. The most frequently reported risk factors for low PSS included post-traumatic stress disorder, depression and anxiety, whilst post-traumatic growth and unit support were protective factors.
CONCLUSIONS: Higher levels of PSS were generally associated with more positive psychosocial and mental health-related outcomes following deployment. PSS should be targeted in psychosocial interventions and education programmes. Future research should investigate PSS in (ex-)military personnel across other countries and cultures, based on the lack of studies that focused on PSS in countries outside of the US.