d days of psychiatric medication use in dependent children. Practitioners who care for families impacted by parental illness/injury should be cognizant of children’s mental health risk. Early identification and treatment of child-related mental health issues can improve family functioning and increase military family readiness.

Parental illness/injury is associated with increased mental health care and days of psychiatric medication use in dependent children. Practitioners who care for families impacted by parental illness/injury should be cognizant of children’s mental health risk. Early identification and treatment of child-related mental health issues can improve family functioning and increase military family readiness.

Following mild traumatic brain injury, visual dysfunction is a common occurrence, yet the condition often goes undiagnosed. A mobile application was developed to measure aspects of visual acuity and oculomotor function. The aim of this project was to validate the newly developed suite of outcomes conducive for use in the field to detect visual dysfunction.

A custom mobile application was developed on an Apple iPad using iOS operating system software version 11.0 in Objective C to measure near point of convergence (NPC), distance visual acuity, reading fluency, and self-rated convergence insufficiency (CI). To determine construct validity, 50 healthy young adults were administered NPC and distance visual acuity assessments using the iPad and standard clinical approaches. A ruler measurement was obtained simultaneous to the iPad NPC measurement to determine measurement accuracy. All testing was administered by a licensed optometrist and the order of testing (iPad versus clinical) was randomized.

The corretion. Nonetheless, the suite of visual assessments provide value as screening tools, and when used in combination with reading fluency assessment and self-reported CI may be effective in identifying visual dysfunction following mild traumatic brain injury.

Military personnel during training and military operations are exposed to a large number of repeated exposures to low-level blast overpressure from a variety of sources. These exposures rarely produce a concussion, but anecdotal evidence from soldiers indicates that it can still cause transient neurological effects. Impulsive acoustic sources, such as the ones encountered during military training, are characterized by a broadband energy distribution with resulting pressure measurements that exhibit frequency components well within the infrasound range. This infrasound can couple directly with the human body and in this way alter or influence physiological processes up to inducing concussion-like symptoms.

This study explores the presence of infrasound energy in measured acoustic signals collected during grenade training at Ft. Benning, GA. Acoustic data from traditional microphones and specialized infrasound microphones were collected during one training session and time and time-frequency analysis was pebe because of acoustic loading. 5Fluorouracil Therefore, to take into account these findings, future studies aimed at characterizing the effects of repeated low-level blast exposure should consider including acoustic measurements in their investigations.

Research shows that cognitive performance and emotional well-being can be significantly strengthened. A high-performance brain training protocol, Strategic Memory Advanced Reasoning Training (SMART), was developed by cognitive neuroscientists at The University of Texas at Dallas Center for BrainHealth based on 25-plus years of scientific study. Randomized controlled trials with various populations have shown that training and use of nine “SMART” strategies for processing information can improve cognitive performance and psychological health. However, the multi-week intensive training used in the laboratory is not practical for widespread use outside the laboratory. This article examines the efficacy of SMART when translated outside the laboratory to two populations (military/veterans and law enforcement) that received SMART in condensed time frames.

In two translation studies with healthy military personnel and veterans, 425 participants received between 6 and 10 hours of SMART over 2 days. In a third trats may be transient; however, the continued improvements in psychological health observed in a subset of the participants suggest that benefits may be sustainable even at later intervals.

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.

Five classification methods including K-nearest neighbor, logistic regression, support vector machine, random forest, and a deep learning method called long short-term memory are applied to predict an AHE 30 minutes in advance. An analysis comparing model performance when including versus excluding invasive features was conducted. To further study the pattern of the underlying mean arterial pressure (MAP), we apply a regression method to predict the continuous MAP values using linear regression over the next 60 minutes.

Support vector machine yields the best performance in terms of recall (84%). Including the invasive features in the classtrates the importance of exploring more noninvasive technologies for AHE prediction.

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.

Soldiers are expected to deploy worldwide and must be medically ready in order to accomplish their mission. Soldiers unable to deploy for an extended period of time because of chronic pain or other conditions undergo an evaluation for medical retirement. A retrospective analysis of existing longitudinal data from an Interdisciplinary Pain Management Center (IPMC) was used to evaluate the temporal relationship between the time of initial duty restriction and referral for comprehensive pain care to being evaluated for medical retirement.

Patients were adults (>18 years old) and were cared for in an IPMC at least once between May 1, 2014 and February 28, 2018. A total of 1,764 patients were included in the final analysis. Logistic regression was used to evaluate the impact of duration between date of first duty restriction documentation and IPMC referral to the outcome variable of establishment of a permanent 3 (P3) profile.

The duration between date of first duty restriction and IPMC referral showed a curvilinear relationship to probability of a P3 profile.