Opioid Use Patterns Among Active Duty Service Members and Civilians: 2006-2014.

Introduction: Between 2001 and 2009, opioid analgesic prescriptions in the Military Health System quadrupled to 3.8 million. The sheer quantity of opioid analgesics available sets the stage for issues related to misuse, abuse, and diversion. To address this issue, the Department of Defense implemented several directives and clinical guidelines to improve access to appropriate pain care and safe opioid prescribing. Unfortunately, little has been done to characterize changing patterns of opioid use in active duty service members (ADSM), so little is known about how combat operations and military health care policy may have influenced this significant problem. We examined changes in opioid use for ADSM between 2006 and 2014, compared trends with the civilian population, and explored the potential role of military-specific factors in changes in opioid use in the Military Health System. Materials and Methods: After obtaining Institutional Review Board approval, administrative prescription records (Pharmacy Data Transaction Records) for non-deployed ADSM were used to determine the number of opioid prescriptions dispensed each year and the proportion of ADSM who received at least one prescription per month between 2006 and 2014. Based on the observation and the literature, we identified December 2011 as the demarcation point (the optimal point to identify the downturn in opioid use) and used it to compare opioid use trends before and after. We used an autoregressive forecast model to verify changes in opioid use patterns before and after 2011. Several interrupted time series models examined whether military system-level factors were associated with changes in opioid use. Results: Between 2006 and 2014, 1,516,979 ADSM filled 7,119,945 opioid prescriptions, either in military treatment facilities or purchased through TRICARE. Both active duty and civilian populations showed signs of decreasing use after 2011, but this change was much more pronounced among ADSM. The forecast model showed a significant difference after 2011 between the projected and actual proportion of ADSM filling an opioid prescription, confirming 2011 as a point of divergence in opioid use. Interrupted time series models showed that the deflection point was associated with significant decreases. A significant increase of 0.261% in opioid prescriptions was seen for every 1,000 wounded in action service members in a given month. Troops returning from Operation Enduring Freedom, Operation Iraqi Freedom, or Operation New Dawn did not appear to influence the rates of use. Even after accounting for returning troops from Operation Enduring Freedom/Operation Iraqi Freedom/Operation New Dawn and wounded in action counts, the deflection point was associated with a lower proportion of ADSM who filled an opioid prescription, leading to a decrease of 1.61% by the end of the observation period (December 2014). Conclusion: After December 2011, opioid use patterns significantly decreased in both civilian and ADSM populations, but more so in the military population. Many factors, such as numbers of those wounded in action and the structural organization of the Military Health System, may have caused the decline, although more than likely the decrease was influenced by many factors inside and outside of the military, including policy directives and cultural changes.

Abdominal Circumference Versus Body Mass Index as Predictors of Lower Extremity Overuse Injury Risk.

BACKGROUND: Abdominal circumference (AC) is superior to body mass index (BMI) as a measure of risk for various health outcomes. Our objective was to compare AC and BMI as predictors of lower extremity overuse injury (LEOI) risk. METHODS: Retrospective review of electronic medical records of 79,868 US Air Force personnel over a 7-year period (2005-2011) for incidence of new LEOI. Subjects were stratified by BMI and AC. Injury risk for BMI/AC subgroups was calculated using Kaplan-Meier curves and Cox proportional-hazards regression. Receiver operating characteristic curves with area under the curve were used to compare each model's predictive value. RESULTS: Cox proportional-hazards regression showed significant risk association between elevated BMI, AC, and all injury types, with hazard ratios ranging 1.230-3.415 for obese versus normal BMI and 1.665-3.893 for high-risk versus low-risk AC (P < .05 for all measures). Receiver operating characteristic curves with area under the curve showed equivalent performance between BMI and AC for predicting all injury types. However, the combined model (AC and BMI) showed improved predictive ability over either model alone for joint injury, overall LEOI, and most strongly for osteoarthritis. CONCLUSIONS: Although AC and BMI alone performed similarly well, a combined approach using BMI and AC together improved risk estimation for LEOI.

Public Health Surveillance via Template Management in Electronic Health Records: Tri-Service Workflow's Rapid Response to an Infectious Disease Crisis.

OBJECTIVE: To describe the use of template-based screening for risk of infectious disease exposure of patients presenting to primary care medical facilities during the 2014 West African Ebola virus outbreak. METHODS: The Military Health System implemented an Ebola risk-screening tool in primary care settings in order to create early notifications and early responses to potentially infected persons. Three time-sensitive, evidence-based screening questions were developed and posted to Tri-Service Workflow (TSWF) AHLTA templates in conjunction with appropriate training. Data were collected in January 2015, to assess the adoption of the TSWF-based Ebola risk-screening tool. RESULTS: Among encounters documented using TSWF templates, 41% of all encounters showed use of the TSWF-based Ebola risk-screening questions by the fourth day. The screening rate increased over the next 3 weeks, and reached a plateau at approximately 50%. CONCLUSIONS: This report demonstrates the MHS capability to deploy a standardized, globally applicable decision support aid that could be seen the same day by all primary care clinics across the military health direct care system, potentially improving rapid compliance with screening directives.

Metabolic syndrome in the Military Health System based on electronic health data, 2009-2012.

Metabolic syndrome prevalence in the United States rose from 27% to 34.2% between 1999-2000 and 1999-2006. However, prevalence has not been determined in the Military Health System. This retrospective descriptive study included enrolled Military Health System adults during fiscal years 2009-2012. We explored three populations (nonactive duty, active duty, and Air Force active duty) and their metabolic syndrome components (body mass index or waist circumference, blood glucose test, triglyceride, high density lipoprotein, and blood pressure). The active duty sample (who had all five components measured) was representative of its population, but the nonactive duty sample was not. Therefore, we reported component-wise prevalence for both nonactive and active duty populations, but only reported prevalence of metabolic syndrome for active duty. A decreasing trend, greater in men, was seen. Crude prevalence in 2012 was higher among men and highest among males and females aged 45-64. Only Air Force active duty data contained waist circumference measurements, enabling comparison to the United States. This subgroup prevalence was significantly lower than the United States prevalence in 2010 for both genders in every age group. Although decreasing metabolic syndrome prevalence is promising, prevalence is still high and future research should explore policies to help lower the prevalence.

A comparison of obesity prevalence: military health system and United States populations, 2009-2012.

Overweight and obesity prevalence has increased over the past 30 years. Few studies have looked at the enrolled Military Health System (MHS) population (2.2 million per year). This descriptive study examined trends in overweight and obesity in both children and adults from fiscal years 2009 to 2012 and compared them to the U.S. population. Prevalence in MHS children decreased over time for overweight (14.2-13.8%) and obesity (11.7-10.9%). Active duty adults showed an increase in overweight prevalence (52.7-53.4%) and a decrease in obesity prevalence (18.9-18.3%). For nonactive duty, both overweight and obesity prevalence remained relatively unchanged around 33%. For both children and adults, overweight and obesity prevalence increased with age, except for obesity in the nonactive duty ≥ 65 subgroup. When compared to the United States by gender and age, MHS children generally had a lower overweight and obesity prevalence, active duty adults had higher overweight and lower obesity prevalence, and nonactive duty adults had comparable overweight and obesity prevalence, except for obesity in both men in the 40 to 59 subgroup and women in ≥ 60 subgroup. More research on the MHS population is needed to identify risk factors and modifiable health behaviors that could defeat the disease of obesity.

Abdominal circumference is superior to body mass index in estimating musculoskeletal injury risk.

PURPOSE: The purpose of this study was to compare body mass index (BMI) and abdominal circumference (AC) in discriminating individual musculoskeletal injury risk within a large population. We also sought to determine whether age or sex modulates the interaction between body habitus and injury risk. METHODS: We conducted a retrospective cohort study involving 67,904 US Air Force personnel from 2005 to 2011. Subjects were stratified by age, sex, BMI, adjusted BMI, and AC. New musculoskeletal injuries were recorded relative to body habitus and time elapsed from the start of study. RESULTS: Cox proportional hazards regression revealed increased HR for musculoskeletal injury in those with high-risk AC (males, >39 inches; females, >36 inches) compared with HR in those with low-risk AC (males, ≤35 inches; females, ≤32 inches) in all age categories (18-24 yr: HR = 1.567, 95% confidence interval (CI) = 1.327-1.849; 25-34 yr: HR = 2.089, 95% CI = 1.968-2.218; ≥35 yr: HR = 1.785, 95% CI = 1.651-1.929). HR for obese (BMI, ≥30 kg·m) compared with that for normal individuals (BMI, <25 kg·m) were less elevated. Kaplan-Meier curves showed a dose-response relation in all age groups but most prominently in 25- to 34-yr-old participants. Time to injury was consistently lowest in 18- to 24-yr-old participants. Score chi-square values, indicating comparative strength of each model for injury risk estimation in our cohort, were higher for AC than those for BMI or adjusted BMI within all age groups. CONCLUSIONS: AC is a better predictor of musculoskeletal injury risk than BMI in a large military population. Although absolute injury risk is greatest in 18- to 24-yr-old participants, the effect of obesity on injury risk is greatest in 25- to 34-yr-old participants. There is a dose-response relation between obesity and musculoskeletal injury risk, an effect seen with both BMI and AC.

Uniform self-forming metallic network as a high-performance transparent conductive electrode.

A transparent, conductive, and flexible electrode is demonstrated. It is based on an inexpensive and easily manufacturable metallic network formed by depositing metals onto a template film. This electrode shows excellent electro-optical properties, with the figure of merit ranging from 300 to 700, and transmittance from 82% (~4.3 Ω sq(-1) ) to 45% (~0.5 Ω sq(-1) ).

Estimating diabetes prevalence in the Military Health System population from 2006 to 2010.

Evidence-based articles have demonstrated an increase in diabetes prevalence, but diabetes prevalence in the enrolled Military Health System population was previously understudied. Variability in diabetes prevalence rates calculated from 5 groups of algorithms was examined in the Military Health System population (3 million enrollees per year) from fiscal years 2006 to 2010. Time trend analysis and rate comparisons to the U.S. population were also performed. Increasing linear trends in diabetes prevalence from 2006 to 2010 were seen in all algorithms, though considerable rate variation was observed within each study year. Prevalence increased with age, except for a slight decrease in those ≥75 years. Overall diagnosed diabetes prevalence ranged from 7.26% to 11.22% in 2006 and from 8.29% to 13.55% in 2010. Prevalence among active duty members remained stable, but a significant upward trend was observed among nonactive duty members across study years. Age-standardized rates among nonactive duty females were higher than the U.S. population rates from 2006 to 2010. This study demonstrates prevalence rate variability because of differing case algorithms and shows evidence of a growing diabetes population in the Military Health System, specifically within the nonactive duty 45 years and older demographic groups. Further research of this population should focus on validation of case definitions.

Highly efficient molecular delivery into mammalian cells using carbon nanotube spearing.

Introduction of exogenous DNA into mammalian cells represents a powerful approach for manipulating signal transduction. The available techniques, however, are limited by low transduction efficiency and low cell viability after transduction. Here we report a highly efficient molecular delivery technique, named nanotube spearing, based on the penetration of nickel-embedded nanotubes into cell membranes by magnetic field driving. DNA plasmids containing the enhanced green fluorescent protein (EGFP) sequence were immobilized onto the nanotubes, and subsequently speared into targeted cells. We have achieved an unprecedented high transduction efficiency in Bal17 B-lymphoma, ex vivo B cells and primary neurons with high viability after transduction. This technique may provide a powerful tool for highly efficient gene transfer into a variety of cells, especially the hard-to-transfect cells.

Graphite powder and multiwalled carbon nanotubes chemically modified with 4-nitrobenzylamine.

We demonstrate that graphite powder and multiwalled carbon nanotubes (MWCNTs) can be derivatised by 4-nitrobenzylamine (4-NBA) simply by stirring the graphite powder or MWCNTs in a solution of acetonitrile containing 10 mM 4-NBA. We propose that 4-NBA partially intercalates at localised edge-plane or edge-plane-like defect sites and this hypothesis with a range of experimental data provided by electrochemistry in both aqueous and nonaqueous media, electron microscopy and X-ray powder diffraction.