Publications by authors named "Elster E"

Objective: Conduct disorder (CD) is associated with deficits in the use of punishment for reinforcement learning (RL) and subsequent decision-making, contributing to reckless, antisocial, and aggressive behaviors. Here, we used functional magnetic resonance imaging (fMRI) to examine whether differences in behavioral learning rates derived from computational modeling, particularly for punishment, are reflected in aberrant neural responses in youths with CD compared to typically-developing controls (TDCs).

Methods: 75 youths with CD and 99 TDCs (9-18 years, 47% girls) performed a probabilistic RL task with punishment, reward, and neutral contingencies.

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Sijilmassi et al. suggest that group myths explaining the shared history of a people succeed and propagate by leveraging cognitive cues from fitness interdependence. We offer an alternative and mutually compatible account rooting the success of group myths in cues from a different cognitive domain: The development of self-concepts.

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Background: Patients with sepsis-induced hypotension are generally treated with a combination of intravenous fluids and vasopressors. The attributes of patients receiving a liberal compared to a restrictive fluid strategy have not been fully characterized. We use machine learning (ML) techniques to identify key predictors of restrictive versus liberal fluids strategy, and the likelihood of receiving each strategy in distinct patient phenotypes.

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Article Synopsis
  • This study aims to enhance prediction of patient outcomes after severe traumatic brain injury (sTBI) by integrating clinical data with serum inflammatory and neuronal protein levels.
  • Researchers enrolled 53 adult patients and used machine learning techniques to develop models predicting post-traumatic vasospasm (PTV) and mortality, identifying specific biomarkers and clinical signs as key predictors.
  • Findings reveal that certain inflammatory markers and demographic factors can better predict PTV development and mortality than standard clinical tools, indicating the importance of biochemical data in assessing sTBI outcomes.
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The Uniformed Services University is known for its dual mission of preparing military medical officers for operational readiness and leadership roles. The Joint Expeditionary Medical Officer (JEMO) project is a novel internal program that was initiated in 2022 and aims to fortify and evaluate the essential Knowledge, Skills, and Abilities (KSAs) within the School of Medicine's Molecules to Military Medicine curriculum that are pivotal for the development of a deployment-ready military medical officer. The JEMO-KSA program identifies and deliberately develops a core set of mission-critical skills during the course of students' undergraduate medical education.

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  • Researchers studied septic patients with acute respiratory failure (ARF) needing mechanical ventilation to identify different patient phenotypes, aiming to understand the variability in their clinical presentation and outcomes.
  • They conducted a multi-center retrospective study, analyzing clinical data from ICU patients across two hospitals and using machine learning to cluster the data into distinct phenotypes.
  • Four phenotypes were identified, each displaying unique clinical features and mortality outcomes, demonstrating significant differences in 28-day mortality rates among them despite similar demographics.
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Background: In September 2022, a summit was convened by the American Board of Surgery (ABS) to discuss competency-based reform in surgical education. A key output of that summit was the recommendation that the prior work of the Blue Ribbon I Committee convened 20 years earlier be revived. With leadership from the American College of Surgeons (ACS) and the American Surgical Association (ASA), the Blue Ribbon Committee (BRC) II was subsequently convened.

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Mini abstract US military assets have been integral to the response to global pandemics, natural disasters, civilian casualties, and combat care. Strategies are being implemented to strengthen the military health care system and curtail the erosion of relevant surgical skills and knowledge during periods of low combat intensity. However, additional challenges remain.

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Introduction: Post-traumatic seizures (PTSs) contribute to morbidity after traumatic brain injury (TBI). Early PTS are rare in combat casualties sustaining TBI, but the prevalence of late PTS is poorly described. We sought to define the prevalence and risk factors of late PTS in combat casualties with computed tomography evidence of TBI.

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Background: Top-tier general and specialty scientific journals serve as a bellwether for national research priorities. We hypothesize that military-relevant publications are underrepresented in the scientific literature and that such publications decrease significantly during peacetime.

Methods: We identified high impact journals in the fields of Medicine, Surgery and Critical Care and developed Boolean searches for military-focused topics using National Library of Medicine Subject Headings terms.

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Background: Septic patients who develop acute respiratory failure (ARF) requiring mechanical ventilation represent a heterogenous subgroup of critically ill patients with widely variable clinical characteristics. Identifying distinct phenotypes of these patients may reveal insights about the broader heterogeneity in the clinical course of sepsis. We aimed to derive novel phenotypes of sepsis-induced ARF using observational clinical data and investigate their generalizability across multi-ICU specialties, considering multi-organ dynamics.

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Background: The clinical demands of mass casualty events strain even the most well-equipped trauma centers and are especially challenging in resource-limited rural, remote, or austere environments. Gynecologists and urologists care for patients with pelvic and abdominal injuries, but the extent to which they are able to serve as "force multipliers" for trauma care is unclear. This study examined the abilities of urologists and gynecologists to perform 32 trauma procedures after mentored training by expert trauma educators to inform the potential for these specialists to independently care for trauma patients.

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Background: All military surgeons must maintain trauma capabilities for expeditionary care contexts, yet most are not trauma specialists. Maintaining clinical readiness for trauma and mass casualty care is a significant challenge for military and civilian surgeons. We examined the effect of a prescribed clinical readiness program for expeditionary trauma care on the surgical performance of 12 surgeons during a 60-patient mass-casualty situation (MASCAL).

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The last 20 years of sustained combat operations during the Global War on Terror generated significant advancements in combat casualty care. Improvements in point-of-injury care, en route care, and forward surgical care appropriately aligned with the survival, evacuation, and return to duty needs of the small-scale unconventional conflict. However, casualty numbers in large-scale combat operations have brought into focus the critical need for modernized casualty receiving and convalescence: Role 4 definitive care.

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A combination of improved body armor, medical transportation, and treatment has led to the increased survival of warfighters from combat extremity injuries predominantly caused by blasts in modern conflicts. Despite advances, a high rate of complications such as wound infections, wound failure, amputations, and a decreased quality of life exist. To study the molecular underpinnings of wound failure, wound tissue biopsies from combat extremity injuries had RNA extracted and sequenced.

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Introduction: Graduate Medical Education plays a critical role in training the next generation of military physicians, ensuring they are ready to uphold the dual professional requirements inherent to being both a military officer and a military physician. This involves executing the operational duties as a commissioned leader while also providing exceptional medical care in austere environments and in harm's way. The purpose of this study is to review prior efforts at developing and implementing military unique curricula (MUC) in residency training programs.

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Introduction: Accurate identification of venous thromboembolism (VTE) is critical to develop replicable epidemiological studies and rigorous predictions models. Traditionally, VTE studies have relied on international classification of diseases (ICD) codes which are inaccurate - leading to misclassification bias. Here, we developed ClotCatcher, a novel deep learning model that uses natural language processing to detect VTE from radiology reports.

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Article Synopsis
  • Microbial contamination in combat wounds can lead to infections and negative health effects.
  • Current methods for detecting microbes in wounds are not very effective at identifying important functional genes.
  • Targeted metagenomic sequencing can provide detailed profiles of wound bacteria, which could improve clinical decision-making and predict wound healing outcomes.
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Objective: Conduct disorder (CD) has been associated with deficits in the use of punishment to guide reinforcement learning (RL) and decision making. This may explain the poorly planned and often impulsive antisocial and aggressive behavior in affected youths. Here, we used a computational modeling approach to examine differences in RL abilities between CD youths and typically developing controls (TDCs).

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Article Synopsis
  • Post-traumatic seizure (PTS) prophylaxis is important for traumatic brain injury (TBI) patients, but there's no standardized drug treatment, though levetiracetam is commonly used in combat-related cases.
  • In a study of 687 casualties, 71 patients with combat-related injuries were analyzed, focusing on demographics, injury characteristics, and treatment outcomes over six months.
  • Results show that levetiracetam was administered to the majority of these patients, with low PTS incidence (2.8%) and no serious side effects, suggesting it is a safe and effective option for seizure prevention in this population.
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Dynamic Network Analysis (DyNA) and Dynamic Hypergraphs (DyHyp) were used to define protein-level inflammatory networks at the local (wound effluent) and systemic circulation (serum) levels from 140 active-duty, injured service members (59 with TBI and 81 non-TBI). Interleukin (IL)-17A was the only biomarker elevated significantly in both serum and effluent in TBI vs. non-TBI casualties, and the mediator with the most DyNA connections in TBI wounds.

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Background: Thoracic injury can cause impairment of lung function leading to respiratory complications such as pneumonia (PNA). There is increasing evidence that central memory T cells of the adaptive immune system play a key role in pulmonary immunity. We sought to explore whether assessment of cell phenotypes using flow cytometry (FCM) could be used to identify pulmonary infection after thoracic trauma.

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Background: Systemic inflammatory response remains a poorly understood cause of morbidity and mortality after traumatic injury. Recent nonhuman primate (NHP) trauma models have been used to characterize the systemic response to trauma, but none have incorporated a critical care phase without the use of general anesthesia. We describe the development of a prolonged critical care environment with sedation and ventilation support, and also report corresponding NHP biologic and inflammatory markers.

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Autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) are two frequently co-occurring neurodevelopmental conditions that share certain symptomatology, including social difficulties. This presents practitioners with challenging (differential) diagnostic considerations, particularly in clinically more complex cases with co-occurring ASD and ADHD. Therefore, the primary aim of the current study was to apply a data-driven machine learning approach (support vector machine) to determine whether and which items from the best-practice clinical instruments for diagnosing ASD (ADOS, ADI-R) would best differentiate between four groups of individuals referred to specialized ASD clinics (i.

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