Military medicine
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Early prediction of the acute hypotensive episode (AHE) in critically ill patients has the potential to improve outcomes. In this study, we apply different machine learning algorithms to the MIMIC III Physionet dataset, containing more than 60,000 real-world intensive care unit records, to test commonly used machine learning technologies and compare their performances. ⋯ We were able to predict AHE with precision and recall above 80% 30 minutes in advance with the large real-world dataset. The prediction of regression model can provide a more fine-grained, interpretable signal to practitioners. Model performance is improved by the inclusion of invasive features in predicting AHE, when compared to predicting the AHE based on only the available, restricted set of noninvasive technologies. This demonstrates the importance of exploring more noninvasive technologies for AHE prediction.
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Observational Study
Potential Concussive Event Narratives of Post-9/11 Combat Veterans: Chronic Effects of Neurotrauma Consortium Study.
Deployment-related mild traumatic brain injury (mTBI) affects a significant proportion of those who served in Post-9/11 combat operations. The prevalence of head injuries, including those that lead to mTBI, is often reported quantitatively. However, service member (SM) and Veteran firsthand accounts of their potential concussive events (PCEs) and mTBIs can serve as a rich resource for better understanding the nuances and context of these exposures. ⋯ Prevalence of deployment-related close-range blast exposure, non-blast impact PCEs, and mTBIs among this Post-9/11 combatant sample was substantial, and in many cases potentially preventable. The use of detailed semi-structured interviews may help health care providers and policymakers to better understand the context and circumstances of deployment-related PCEs and mTBIs.
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People with partial hand loss represent the largest population of upper limb amputees by a factor of 10. The available prosthetic componentry for people with digit loss provide various methods of control, kinematic designs, and functional abilities. Here, the Point Digit II is empirically tested and a discussion is provided comparing the Point Digit II with the existing commercially available prosthetic fingers. ⋯ The Point Digit II presents novel and exciting features to help those with partial hand amputation return to work and regain ability. The use of additive manufacturing, unique mechanism design, and clinically relevant design features provides both the patient and clinician with a prosthetic digit, which improves upon the existing devices available.
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Operationalizing the Deployment of Low-Titer O-Positive Whole Blood Within a Regional Trauma System.
The implementation of a low-titer O+ whole blood (LTOWB) resuscitation algorithm, particularly in the prehospital environment, has several inherent challenges, including cost, limited and inconsistent supply, and the logistics of cold-chain management. The Southwest Texas Regional Advisory Council has implemented the nation's first multidisciplinary, multi-institutional regional LTOWB program. This research effort was to illustrate the successful deployment of LTOWB within a regional trauma system. ⋯ This work demonstrates a novel model for the development of a trauma system LTOWB program. The program's implementation augments remote damage control resuscitation strategies and requires the integration and collaboration of a multidisciplinary stakeholder team to optimize efficiency, performance, and safety of the program.
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Measures of normal and abnormal physiology are interrelated and vary continuously. Our ability to detect and predict changes in physiology in real time has been limited in part by the requirement for blood sampling and the lack of a continuous data stream of various "signals", i.e., measurements of vital signs. It is important to determine which signals are most revealing for detection and treatment of, e.g., internal bleeding, managing fluid balance for mission/combat readiness, and hydration. Although our current algorithm for PV[O]H reflects changes in hematocrit and blood and plasma volumes, additional algorithms utilizing the whole raw PV[O]H data stream, along with other variables, can be constructed. We present a working prototype demonstrating that acceptable size, power, and complexity footprints for military needs can be achieved. Results of previous studies involving humans have demonstrated that PV[O]H can provide simultaneous, noninvasive, in vivo continuous monitoring of hematocrit, vascular volume, hemoglobin oxygen saturation, pulse rate, and breathing rate using a single light source with a reporting frequency of every 3 seconds. ⋯ Simultaneous noninvasive continuous monitoring of peripheral vessels using a previous PV[O]H system demonstrates large, physiology revealing data sets. The technologies enable the methodical search for relevant physiological signals allowing the use of discriminant analysis, Bayesian approaches, and artificial intelligence to create predictive algorithms enabling timely interventions in medical care and troop training.