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Keywords = combat casualty care

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26 pages, 3302 KB  
Article
Comparison of Controller Logics for Automating Vasopressor Administration Using a Hardware-in-Loop Test Platform
by Michael D. Lopez, Jonathan Marrero Bermudez, David Berard, Lawrence Holland, Austin J. Ruiz, Jose M. Gonzalez, Sofia I. Hernandez Torres and Eric J. Snider
Bioengineering 2026, 13(4), 454; https://doi.org/10.3390/bioengineering13040454 - 13 Apr 2026
Viewed by 542
Abstract
Hemorrhagic shock remains one of the leading causes of preventable death for both civilian and military trauma. Fluid resuscitation is the primary treatment but requires constant monitoring, particularly for volume non-responsive patients susceptible to fluid overload, pulmonary edema, and other life-threatening conditions. To [...] Read more.
Hemorrhagic shock remains one of the leading causes of preventable death for both civilian and military trauma. Fluid resuscitation is the primary treatment but requires constant monitoring, particularly for volume non-responsive patients susceptible to fluid overload, pulmonary edema, and other life-threatening conditions. To overcome fluid non-responsiveness, vasoactive drugs or vasopressors can be necessary adjuvants to fluid therapy but require tedious titrations that can be difficult to manage during mass-casualty situations. This study developed and evaluated automated closed-loop vasopressor controllers for hemorrhage scenarios. Ten physiological closed-loop controller (PCLC) configurations with different underlying functionalities were tuned to be either more aggressive or conservative to reach the target mean arterial pressure. A hardware-in-loop test platform with fluid-pressure responsiveness, derived from animal data, tested each controller across three different starting pressure scenarios. The platform successfully differentiated controller designs based on performance metrics. While some configurations overshot the target and others could not reach the target pressure, strong-performing PCLCs consistently reached and maintained the target quickly. Three candidate PCLCs outperformed the rest and will be evaluated across wider scenarios to develop a robust controller design. This work accelerates PCLC-driven vasopressor administration development, providing a necessary fluid resuscitation adjuvant for precise hemodynamic management in hemorrhagic trauma. Full article
(This article belongs to the Section Biomedical Engineering and Biomaterials)
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13 pages, 852 KB  
Article
Comparison of the Effectiveness of the DNIPRO Gen 2 and SICH Tourniquets Versus the CAT Gen 7 and SOFTT-W Gen 4 Tourniquets
by Jakub Zachaj, Katarzyna Moorthi, Łukasz Kręglicki, Kateryna Bielka, Hanna Formina, Liliia Kryveshko, Robert Gałązkowski, Marcin Podgórski and Patryk Rzońca
Medicina 2026, 62(4), 627; https://doi.org/10.3390/medicina62040627 - 26 Mar 2026
Viewed by 1926
Abstract
Background and Objectives: Massive extremity haemorrhage remains the leading cause of preventable death on the battlefield and among trauma victims in civilian settings. Tourniquets are an effective, low-cost tool used to rapidly control bleeding. However, the availability of certified tourniquet models during [...] Read more.
Background and Objectives: Massive extremity haemorrhage remains the leading cause of preventable death on the battlefield and among trauma victims in civilian settings. Tourniquets are an effective, low-cost tool used to rapidly control bleeding. However, the availability of certified tourniquet models during a full-scale armed conflict can be significantly limited. This favours the emergence of locally manufactured devices. The aim of this study was to compare the effectiveness of the DNIPRO Gen 2 and SICH tourniquets with the CAT Gen 7 and SOFTT W Gen 4 tourniquets recommended by the Committee on Tactical Combat Casualty Care. Materials and Methods: The study included 51 Ukrainian medics experienced in prehospital care. Application speed was measured with a stopwatch, and occlusion success was confirmed by Doppler ultrasound. Pain was measured using the NRS, and participants were also able to provide subjective comments regarding the ergonomics and design of the tourniquets. Results: The four tourniquets tested demonstrated different occlusion success rates in arm and leg application. In upper extremity application, the SICH had the highest success rate (98.0%) and was associated with higher odds of successful application compared with the SOFTT-W Gen 4 (OR 25.14). In lower extremity application, the CAT Gen 7 had the highest rate of success (94.1%) and was 7.5 times more likely to achieve occlusion than the SOFTT-W Gen 4 (OR 7.54). The DNIPRO Gen 2 was rated most painful (Median 6), with significantly lower pain levels reported for the SICH (Median 4), the CAT Gen 7 (Median 5), and the SOFTT-W Gen 4 (Median 4). Conclusions: The DNIPRO Gen 2 and SICH tourniquets demonstrated high occlusion success rates, comparable to the CAT Gen 7 and superior to the SOFTT-W Gen 4. These findings suggest that Ukrainian-manufactured tourniquets may demonstrate comparable performance to CoTCCC-recommended tourniquets in a simulated prehospital setting. Full article
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14 pages, 2571 KB  
Article
Development of Deep Learning Models for Real-Time Thoracic Ultrasound Image Interpretation
by Austin J. Ruiz, Sofia I. Hernández Torres and Eric J. Snider
J. Imaging 2025, 11(7), 222; https://doi.org/10.3390/jimaging11070222 - 5 Jul 2025
Cited by 3 | Viewed by 1839
Abstract
Thoracic injuries account for a high percentage of combat casualty mortalities, with 80% of preventable deaths resulting from abdominal or thoracic hemorrhage. An effective method for detecting and triaging thoracic injuries is point-of-care ultrasound (POCUS), as it is a cheap and portable noninvasive [...] Read more.
Thoracic injuries account for a high percentage of combat casualty mortalities, with 80% of preventable deaths resulting from abdominal or thoracic hemorrhage. An effective method for detecting and triaging thoracic injuries is point-of-care ultrasound (POCUS), as it is a cheap and portable noninvasive imaging method. POCUS image interpretation of pneumothorax (PTX) or hemothorax (HTX) injuries requires a skilled radiologist, which will likely not be available in austere situations where injury detection and triage are most critical. With the recent growth in artificial intelligence (AI) for healthcare, the hypothesis for this study is that deep learning (DL) models for classifying images as showing HTX or PTX injury, or being negative for injury can be developed for lowering the skill threshold for POCUS diagnostics on the future battlefield. Three-class deep learning classification AI models were developed using a motion-mode ultrasound dataset captured in animal study experiments from more than 25 swine subjects. Cluster analysis was used to define the “population” based on brightness, contrast, and kurtosis properties. A MobileNetV3 DL model architecture was tuned across a variety of hyperparameters, with the results ultimately being evaluated using images captured in real-time. Different hyperparameter configurations were blind-tested, resulting in models trained on filtered data having a real-time accuracy from 89 to 96%, as opposed to 78–95% when trained without filtering and optimization. The best model achieved a blind accuracy of 85% when inferencing on data collected in real-time, surpassing previous YOLOv8 models by 17%. AI models can be developed that are suitable for high performance in real-time for thoracic injury determination and are suitable for potentially addressing challenges with responding to emergency casualty situations and reducing the skill threshold for using and interpreting POCUS. Full article
(This article belongs to the Special Issue Learning and Optimization for Medical Imaging)
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22 pages, 399 KB  
Review
Management and Prevention of Multidrug-Resistant Bacteria in War Casualties
by Diana Isabela Costescu Strachinaru, Céline Ragot, Anke Stoefs, Nicolas Donat, Pierre-Michel François, Peter Vanbrabant, Alexia Verroken, Frédéric Janvier and Patrick Soentjens
Trop. Med. Infect. Dis. 2025, 10(5), 128; https://doi.org/10.3390/tropicalmed10050128 - 8 May 2025
Cited by 7 | Viewed by 4428
Abstract
The growing threat of antimicrobial resistance (AMR) is a critical issue for both civilians and the military. With each successive conflict, pathogens become more resistant, making the management of infections in casualties increasingly challenging. To better understand the scope and characteristics of conflict-related [...] Read more.
The growing threat of antimicrobial resistance (AMR) is a critical issue for both civilians and the military. With each successive conflict, pathogens become more resistant, making the management of infections in casualties increasingly challenging. To better understand the scope and characteristics of conflict-related AMR, a comprehensive literature search was conducted in the PubMed database in April 2025, using defined search terms related to war casualties and antimicrobial resistance. We screened and included 117 relevant publications, comprising original research articles, reviews, case series, case reports, editorials, and commentaries, published in English or French, with no date restriction. This narrative review synthesizes current evidence on multidrug-resistant bacteria most commonly isolated from war casualties, their associated resistance mechanisms, and the microbiological diagnostic tools available at various levels of the military continuum of care (Roles 1–4). It also presents strategies for preventing cross-contamination and infection in resource-limited combat settings and provides practical, field-adapted recommendations for clinicians, from first responders to specialized care providers, aiming to improve infection management in armed conflict zones and mitigate the spread of AMR. Full article
21 pages, 1385 KB  
Review
Cell Therapies for Acute Radiation Syndrome
by Barbara A. Christy, Maryanne C. Herzig, Xiaowu Wu, Arezoo Mohammadipoor, Jennifer S. McDaniel and James A. Bynum
Int. J. Mol. Sci. 2024, 25(13), 6973; https://doi.org/10.3390/ijms25136973 - 26 Jun 2024
Cited by 12 | Viewed by 8165
Abstract
The risks of severe ionizing radiation exposure are increasing due to the involvement of nuclear powers in combat operations, the increasing use of nuclear power, and the existence of terrorist threats. Exposure to a whole-body radiation dose above about 0.7 Gy results in [...] Read more.
The risks of severe ionizing radiation exposure are increasing due to the involvement of nuclear powers in combat operations, the increasing use of nuclear power, and the existence of terrorist threats. Exposure to a whole-body radiation dose above about 0.7 Gy results in H-ARS (hematopoietic acute radiation syndrome), which is characterized by damage to the hematopoietic system; higher doses result in further damage to the gastrointestinal and nervous systems. Only a few medical countermeasures for ARS are currently available and approved for use, although others are in development. Cell therapies (cells or products produced by cells) are complex therapeutics that show promise for the treatment of radiation injury and have been shown to reduce mortality and morbidity in animal models. Since clinical trials for ARS cannot be ethically conducted, animal testing is extremely important. Here, we describe cell therapies that have been tested in animal models. Both cells and cell products appear to promote survival and lessen tissue damage after whole-body irradiation, although the mechanisms are not clear. Because radiation exposure often occurs in conjunction with other traumatic injuries, animal models of combined injury involving radiation and future countermeasure testing for these complex medical problems are also discussed. Full article
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13 pages, 17899 KB  
Article
A Two-Stage Approach Integrating Provisional Biomaterial-Mediated Stabilization Followed by a Definitive Treatment for Managing Volumetric Muscle Loss Injuries
by Andrew R. Clark, Jonathan Kulwatno, Sergey S. Kanovka, George J. Klarmann, Claudia E. Hernandez, Roman M. Natoli, Todd O. McKinley, Benjamin K. Potter, Christopher L. Dearth and Stephen M. Goldman
J. Funct. Biomater. 2024, 15(6), 160; https://doi.org/10.3390/jfb15060160 - 6 Jun 2024
Cited by 3 | Viewed by 2230
Abstract
Treatment of volumetric muscle loss (VML) faces challenges due to its unique pathobiology and lower priority in severe musculoskeletal injury management. Consequently, a need exists for multi-stage VML treatment strategies to accommodate delayed interventions owing to comorbidity management or prolonged casualty care in [...] Read more.
Treatment of volumetric muscle loss (VML) faces challenges due to its unique pathobiology and lower priority in severe musculoskeletal injury management. Consequently, a need exists for multi-stage VML treatment strategies to accommodate delayed interventions owing to comorbidity management or prolonged casualty care in combat settings. To this end, polyvinyl alcohol (PVA) was used at concentrations of 5%, 7.5%, and 10% to generate provisional muscle void fillers (MVFs) of varying stiffness values (1.125 kPa, 3.700 kPa, and 7.699 kPa) to stabilize VML injuries as part of a two-stage approach. These were implanted into a rat model for a duration of 4 weeks, then explanted and either left untreated (control) or treated through minced muscle grafting (MMG). Additional benchmarks included acute MMG and unrepaired groups. At the MVF explant, the 7.5% PVA group exhibited superior neuromuscular function compared to the 5% and 10% PVA groups, the least fibrosis, and the largest median myofiber size among all groups at the 12-week endpoint. Despite the 7.5% PVA’s superiority amongst the two-stage treatment groups, neuromuscular function was neither improved nor impaired relative to acute treatment benchmarks. This suggests that the future success of a two-stage VML treatment strategy will necessitate a more effective definitive intervention. Full article
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11 pages, 244 KB  
Article
Combat and Operational Stress Control: Application in a Burn Center
by Jill M. Cancio and Leopoldo C. Cancio
Eur. Burn J. 2024, 5(1), 12-22; https://doi.org/10.3390/ebj5010002 - 29 Dec 2023
Cited by 1 | Viewed by 2505
Abstract
Occupational therapy has been integral to the holistic recovery of soldiers since its origin. The positive psychosocial and physiological effects of occupation-based interventions, fundamental to the profession, have long justified its relevance to the military. As such, occupational therapy has been written into [...] Read more.
Occupational therapy has been integral to the holistic recovery of soldiers since its origin. The positive psychosocial and physiological effects of occupation-based interventions, fundamental to the profession, have long justified its relevance to the military. As such, occupational therapy has been written into US Army doctrine as an integral component of the Combat and Operational Stress Control (COSC) program. The focus of a COSC unit is to prevent, identify, reduce, and manage combat and operational stress reactions resulting from physical and mental stressors in a combat environment. COSC centers around the recognition and resolution of functional problems and the development of enhanced coping skills. Recognizing that burn patients are, like combatants, also at high risk of stress-related illness, we applied COSC concepts to peacetime burn care. In this paper we describe the theoretical basis for COSC in a burn center. The COSC model supports holistic, functional recovery of the burn casualty and can augment psychosocial recovery, particularly in times of limited resources. Full article
23 pages, 6459 KB  
Article
Decision Support System Proposal for Medical Evacuations in Military Operations
by Piotr Lubkowski, Jaroslaw Krygier, Tadeusz Sondej, Andrzej P. Dobrowolski, Lukasz Apiecionek, Wojciech Znaniecki and Pawel Oskwarek
Sensors 2023, 23(11), 5144; https://doi.org/10.3390/s23115144 - 28 May 2023
Cited by 8 | Viewed by 3666
Abstract
The area of military operations is a big challenge for medical support. A particularly important factor that allows medical services to react quickly in the case of mass casualties is the ability to rapidly evacuation of wounded soldiers from a battlefield. To meet [...] Read more.
The area of military operations is a big challenge for medical support. A particularly important factor that allows medical services to react quickly in the case of mass casualties is the ability to rapidly evacuation of wounded soldiers from a battlefield. To meet this requirement, an effective medical evacuation system is essential. The paper presented the architecture of the electronically supported decision support system for medical evacuation during military operations. The system can also be used by other services such as police or fire service. The system meets the requirements for tactical combat casualty care procedures and is composed of following elements: measurement subsystem, data transmission subsystem and analysis and inference subsystem. The system, based on the continuous monitoring of selected soldiers’ vital signs and biomedical signals, automatically proposes a medical segregation of wounded soldiers (medical triage). The information on the triage was visualized using the Headquarters Management System for medical personnel (first responders, medical officers, medical evacuation groups) and for commanders, if required. All elements of the architecture were described in the paper. Full article
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16 pages, 3964 KB  
Article
Dual Input Fuzzy Logic Controllers for Closed Loop Hemorrhagic Shock Resuscitation
by David Berard, Saul J. Vega, Guy Avital and Eric J. Snider
Processes 2022, 10(11), 2301; https://doi.org/10.3390/pr10112301 - 5 Nov 2022
Cited by 7 | Viewed by 2037
Abstract
Hemorrhage remains a leading cause of preventable death in emergency situations, including combat casualty care. This is partially due to the high cognitive burden that constantly adjusting fluid resuscitation rates can require, especially in austere or mass casualty situations. Closed-loop control systems have [...] Read more.
Hemorrhage remains a leading cause of preventable death in emergency situations, including combat casualty care. This is partially due to the high cognitive burden that constantly adjusting fluid resuscitation rates can require, especially in austere or mass casualty situations. Closed-loop control systems have the potential to simplify hemorrhagic shock resuscitation if properly tuned for the application. We have previously compared 4 different controller types using a hardware-in-loop test platform that simulates hemorrhagic shock conditions, and we found that a dual input—(1) error from target and (2) rate of error change—fuzzy logic (DFL) controller performed best. Here, we highlight a range of DFL designs to showcase the tunability the controller can have for different hemorrhage scenarios. Five different controller setups were configured with different membership function logic to create more and less aggressive controller designs. Overall, the results for the different controller designs ranged from reaching the setup rapidly but often overshooting the target to more conservatively approaching the target, resulting in not reaching the target during high active hemorrhage rates. In conclusion, DFL controllers are well-suited for hemorrhagic shock resuscitation and can be tuned to meet the response rates set by clinical practice guidelines for this application. Full article
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14 pages, 2800 KB  
Article
Development of a Modular Tissue Phantom for Evaluating Vascular Access Devices
by Emily N. Boice, David Berard, Jose M. Gonzalez, Sofia I. Hernandez Torres, Zechariah J. Knowlton, Guy Avital and Eric J. Snider
Bioengineering 2022, 9(7), 319; https://doi.org/10.3390/bioengineering9070319 - 15 Jul 2022
Cited by 7 | Viewed by 6000
Abstract
Central vascular access (CVA) may be critical for trauma care and stabilizing the casualty. However, it requires skilled personnel, often unavailable during remote medical situations and combat casualty care scenarios. Automated CVA medical devices have the potential to make life-saving therapeutics available in [...] Read more.
Central vascular access (CVA) may be critical for trauma care and stabilizing the casualty. However, it requires skilled personnel, often unavailable during remote medical situations and combat casualty care scenarios. Automated CVA medical devices have the potential to make life-saving therapeutics available in these resource-limited scenarios, but they must be properly designed. Unfortunately, currently available tissue phantoms are inadequate for this use, resulting in delayed product development. Here, we present a tissue phantom that is modular in design, allowing for adjustable flow rate, circulating fluid pressure, vessel diameter, and vessel positions. The phantom consists of a gelatin cast using a 3D-printed mold with inserts representing vessels and bone locations. These removable inserts allow for tubing insertion which can mimic normal and hypovolemic flow, as well as pressure and vessel diameters. Trauma to the vessel wall is assessed using quantification of leak rates from the tubing after removal from the model. Lastly, the phantom can be adjusted to swine or human anatomy, including modeling the entire neurovascular bundle. Overall, this model can better recreate severe hypovolemic trauma cases and subject variability than commercial CVA trainers and may potentially accelerate automated CVA device development. Full article
(This article belongs to the Special Issue Recent Advances of Medical Devices)
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12 pages, 2015 KB  
Article
Comparison of Ultrasound Image Classifier Deep Learning Algorithms for Shrapnel Detection
by Emily N. Boice, Sofia I. Hernandez-Torres and Eric J. Snider
J. Imaging 2022, 8(5), 140; https://doi.org/10.3390/jimaging8050140 - 20 May 2022
Cited by 13 | Viewed by 3808
Abstract
Ultrasound imaging is essential in emergency medicine and combat casualty care, oftentimes used as a critical triage tool. However, identifying injuries, such as shrapnel embedded in tissue or a pneumothorax, can be challenging without extensive ultrasonography training, which may not be available in [...] Read more.
Ultrasound imaging is essential in emergency medicine and combat casualty care, oftentimes used as a critical triage tool. However, identifying injuries, such as shrapnel embedded in tissue or a pneumothorax, can be challenging without extensive ultrasonography training, which may not be available in prolonged field care or emergency medicine scenarios. Artificial intelligence can simplify this by automating image interpretation but only if it can be deployed for use in real time. We previously developed a deep learning neural network model specifically designed to identify shrapnel in ultrasound images, termed ShrapML. Here, we expand on that work to further optimize the model and compare its performance to that of conventional models trained on the ImageNet database, such as ResNet50. Through Bayesian optimization, the model’s parameters were further refined, resulting in an F1 score of 0.98. We compared the proposed model to four conventional models: DarkNet-19, GoogleNet, MobileNetv2, and SqueezeNet which were down-selected based on speed and testing accuracy. Although MobileNetv2 achieved a higher accuracy than ShrapML, there was a tradeoff between accuracy and speed, with ShrapML being 10× faster than MobileNetv2. In conclusion, real-time deployment of algorithms such as ShrapML can reduce the cognitive load for medical providers in high-stress emergency or miliary medicine scenarios. Full article
(This article belongs to the Special Issue Deep Learning in Medical Image Analysis, Volume II)
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12 pages, 951 KB  
Hypothesis
Portable Medical Suction and Aspirator Devices: Are the Design and Performance Standards Relevant?
by Saketh R. Peri, Forhad Akhter, Robert A. De Lorenzo and R. Lyle Hood
Sensors 2022, 22(7), 2515; https://doi.org/10.3390/s22072515 - 25 Mar 2022
Cited by 8 | Viewed by 13886
Abstract
Airway clearance refers to the clearing of any airway blockage caused due to foreign objects such as mud, gravel, and biomaterials such as blood, vomit, or teeth fragments using the technology of choice, portable suction devices. Currently available devices are either too heavy [...] Read more.
Airway clearance refers to the clearing of any airway blockage caused due to foreign objects such as mud, gravel, and biomaterials such as blood, vomit, or teeth fragments using the technology of choice, portable suction devices. Currently available devices are either too heavy and bulky to be carried, or insufficiently powered to be useful despite being in accordance with the ISO 10079-1 standards. When applied to portable suction, the design and testing standards lack clinical relevancy, which is evidenced by how available portable suction devices are sparingly used in pre-hospital situations. Lack of clinical relevancy despite being in accordance with design/manufacturing standards arise due to little if any collaboration between those developing clinical standards and the bodies that maintain design and manufacturing standards. An updated set of standards is required that accurately reflects evidence-based requirements and specifications, which should promote valid, rational, and relevant engineering designs and manufacturing standards in consideration of the unique scenarios facing prehospital casualty care. This paper aims to critically review the existing standards for portable suction devices and propose modifications based on the evidence and requirements, especially for civilian prehospital and combat casualty care situations. Full article
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18 pages, 3838 KB  
Article
Supervisory Algorithm for Autonomous Hemodynamic Management Systems
by Eric J. Snider, Saul J. Vega, Evan Ross, David Berard, Sofia I. Hernandez-Torres, Jose Salinas and Emily N. Boice
Sensors 2022, 22(2), 529; https://doi.org/10.3390/s22020529 - 11 Jan 2022
Cited by 8 | Viewed by 3004
Abstract
Future military conflicts will require new solutions to manage combat casualties. The use of automated medical systems can potentially address this need by streamlining and augmenting the delivery of medical care in both emergency and combat trauma environments. However, in many situations, these [...] Read more.
Future military conflicts will require new solutions to manage combat casualties. The use of automated medical systems can potentially address this need by streamlining and augmenting the delivery of medical care in both emergency and combat trauma environments. However, in many situations, these systems may need to operate in conjunction with other autonomous and semi-autonomous devices. Management of complex patients may require multiple automated systems operating simultaneously and potentially competing with each other. Supervisory controllers capable of harmonizing multiple closed-loop systems are thus essential before multiple automated medical systems can be deployed in managing complex medical situations. The objective for this study was to develop a Supervisory Algorithm for Casualty Management (SACM) that manages decisions and interplay between two automated systems designed for management of hemorrhage control and resuscitation: an automatic extremity tourniquet system and an adaptive resuscitation controller. SACM monitors the required physiological inputs for both systems and synchronizes each respective system as needed. We present a series of trauma experiments carried out in a physiologically relevant benchtop circulatory system in which SACM must recognize extremity or internal hemorrhage, activate the corresponding algorithm to apply a tourniquet, and then resuscitate back to the target pressure setpoint. SACM continues monitoring after the initial stabilization so that additional medical changes can be quickly identified and addressed, essential to extending automation algorithms past initial trauma resuscitation into extended monitoring. Overall, SACM is an important step in transitioning automated medical systems into emergency and combat trauma situations. Future work will address further interplay between these systems and integrate additional medical systems. Full article
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10 pages, 2792 KB  
Letter
Spectral Reflectance Can Differentiate Tracheal and Esophageal Tissue in the Presence of Bodily Fluids and Soot
by David Berard, Chirantan Sen, Corinne D. Nawn, August N. Blackburn, Kathy L. Ryan and Megan B. Blackburn
Sensors 2020, 20(21), 6138; https://doi.org/10.3390/s20216138 - 28 Oct 2020
Cited by 4 | Viewed by 2777
Abstract
Endotracheal intubation is a common life-saving procedure implemented in emergency care to ensure patient oxygenation, but it is difficult and often performed in suboptimal conditions leading to high rates of patient complications. Undetected misplacement in the esophagus is a preventable complication that can [...] Read more.
Endotracheal intubation is a common life-saving procedure implemented in emergency care to ensure patient oxygenation, but it is difficult and often performed in suboptimal conditions leading to high rates of patient complications. Undetected misplacement in the esophagus is a preventable complication that can lead to fatalities in 5–10% of patients who undergo emergency intubation. End-tidal carbon dioxide monitoring and other proper placement detection methods are useful, yet the problem of misplacement persists. Our previous work demonstrated the utility of spectral reflectance sensors for differentiating esophageal and tracheal tissues, which can be used to confirm proper endotracheal tube placement. In this study, we examine the effectiveness of spectral characterization in the presence of saline, blood, “vomit”, and soot in the trachea. Our results show that spectral properties of the trachea that differentiate it from the esophagus persist in the presence of these substances. This work further confirms the potential usefulness of this novel detection technology in field applications. Full article
(This article belongs to the Special Issue Fiber Optic Sensors and Fiber Lasers)
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11 pages, 220 KB  
Review
Impact & Blast Traumatic Brain Injury: Implications for Therapy
by Satoshi Yamamoto, Douglas S. DeWitt and Donald S. Prough
Molecules 2018, 23(2), 245; https://doi.org/10.3390/molecules23020245 - 26 Jan 2018
Cited by 35 | Viewed by 8466
Abstract
Traumatic brain injury (TBI) is one of the most frequent causes of combat casualties in Operations Iraqi Freedom (OIF), Enduring Freedom (OEF), and New Dawn (OND). Although less common than combat-related blast exposure, there have been significant numbers of blast injuries in civilian [...] Read more.
Traumatic brain injury (TBI) is one of the most frequent causes of combat casualties in Operations Iraqi Freedom (OIF), Enduring Freedom (OEF), and New Dawn (OND). Although less common than combat-related blast exposure, there have been significant numbers of blast injuries in civilian populations in the United States. Current United States Department of Defense (DoD) ICD-9 derived diagnoses of TBI in the DoD Health Care System show that, for 2016, severe and moderate TBIs accounted for just 0.7% and 12.9%, respectively, of the total of 13,634 brain injuries, while mild TBIs (mTBIs) accounted for 86% of the total. Although there is a report that there are differences in the frequency of long-term complications in mTBI between blast and non-blast TBIs, clinical presentation is classified by severity score rather than mechanism because severity scoring is associated with prognosis in clinical practice. Blast TBI (bTBI) is unique in its pathology and mechanism, but there is no treatment specific for bTBIs—these patients are treated similarly to TBIs in general and therapy is tailored on an individual basis. Currently there is no neuroprotective drug recommended by the clinical guidelines based on evidence. Full article
(This article belongs to the Special Issue Neuroprotective Agents)
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