BACKGROUND: Total urinary 11-nor-9-carboxy-tetrahydrocannabinol (THCCOOH) concentrations are generally reported following cannabis administration. Few data are available for glucuronide and minor cannabinoid metabolite concentrations. METHODS: All urine specimens from 11 frequent and 9 occasional cannabis users were analyzed for 11 cannabinoids for up to 85 h by LC-MS-MS following controlled smoked, vaporized or oral 50.6 mg Delta9-tetrahydrocannabinol (THC) in a randomized, placebo-controlled, within-subject dosing design. RESULTS: No cannabidiol, cannabinol, cannabigerol, tetrahydrocannabivarin (THCV), THC, 11-OH-THC, Delta9-tetrahydrocannabinolic acid were detected in urine. Median THCCOOH-glucuronide maximum concentrations (Cmax) following smoked, vaporized and oral routes were 68.0, 26.7 and 360 mug/L for occasional and 378, 248 and 485 mug/L for frequent users, respectively. Median time to specific-gravity normalized Cmax (Tmax) was 5.1-7.9 h for all routes and all users. Median Cmax for THCCOOH, THC-glucuronide and 11-nor-9-carboxy-Delta9-THCV (THCVCOOH) were less than 7.5% of THCCOOH-glucuronide Cmax concentrations. Only THC-glucuronide mean Tmax differed between routes and groups, and was often present only in occasional users' first urine void. Multiple THCCOOH-glucuronide and THCCOOH peaks were observed. We also evaluated these urinary data with published models for determining recency of cannabis use. CONCLUSIONS: These urinary cannabinoid marker concentrations from occasional and frequent cannabis users following three routes of administration provide a scientific database to assess single urine concentrations in cannabis monitoring programs. New target analytes (CBD, CBN, CBG, THCV and phase II metabolites) were not found in urine. The results are important to officials in drug treatment, workplace and criminal justice drug monitoring programs, as well as policy makers with responsibility for cannabis regulations.

Introduction. Among people aged 65 and older, falls are the leading cause of both fatal and nonfatal injuries. The burden of falls is expected to increase as the US population ages. The Centers for Disease Control and Prevention (CDC) developed the STEADI (Stopping Elderly Accidents, Deaths, and Injuries) initiative to help primary care providers incorporate fall risk screening, assessment of patients' modifiable risk factors, and implementation of evidence-based treatment strategies. Methods. In 2010, CDC funded the New York State Department of Health to implement STEADI in primary care sites in selected communities. The Medical Director of United Health Services championed integrating fall prevention into clinical practice and oversaw staff training. Components of STEADI were integrated into the health system's electronic health record (EHR), and fall risk screening questions were added to the nursing staff's patient intake forms. Results. In the first 12 months, 14 practices saw 10 702 patients aged 65 and older. Of these, 8457 patients (79.0%) were screened for fall risk and 1534 (18.1%) screened positive. About 52% of positive patients completed the Timed Up and Go gait and balance assessment. Screening declined to 49% in the second 12 months, with 21% of the patients screening positive. Conclusions. Fall prevention can be successfully integrated into primary care when it is supported by a clinical champion, coupled with timely staff training/retraining, incorporated into the EHR, and adapted to fit into the practice workflow.

Variability in urine dilution complicates urine cannabinoid test interpretation. Normalizing urine cannabinoid concentrations to specific gravity (SG) or creatinine was proposed to account for donors' hydration states. In this study all urine voids were individually collected from 8 frequent and 8 occasional cannabis users for up to 85 h after each received on separate occasions 50.6 mg Delta9-tetrahydrocannabinol (THC) by smoking, vaporization and oral ingestion in a randomized, within-subject, double-blind, double-dummy, placebo-controlled protocol. Each urine void was analyzed for 11 cannabinoids and phase I and II metabolites by LC-MS/MS, SG and creatinine. Normalized urine concentrations were log10 transformed to create normal distributions, and Pearson correlation coefficients determined the degree of association between the two normalization methods. Repeated-measures linear regression determined if the degree of association differed by frequent or occasional cannabis use, or route of administration after adjusting for gender and time since dosing. Of 1880 urine samples examined, only 11-nor-9-carboxy-THC (THCCOOH), THCCOOH-glucuronide, THC-glucuronide and 11-nor-9-carboxy-Delta9-tetrahydrocannabivarin (THCVCOOH) were greater than the method's limits of quantification. Associations between SG- and creatinine-normalized concentrations exceeded 0.90. Repeated-measures regression analysis found small but statistically significant differences in degree of association between normalization methods for THCCOOH and THCCOOH-glucuronide in frequent vs. occasional smokers, and in THCVCOOH and THC-glucuronide by route of administration. For the first time, SG- and creatinine-normalized urine cannabinoid concentrations were evaluated in frequent and occasional cannabis users and following oral, smoked and inhaled cannabis. Both normalization methods reduced variability improving interpretation of urine cannabinoid concentrations and methods were strongly correlated.

Telestroke is a telemedicine intervention that facilitates communication between stroke centers and lower-resourced facilities to optimize acute stroke management. Using administrative claims data, we assessed trends in telestroke use among fee-for-service Medicare beneficiaries with acute ischemic stroke and the association between providing telestroke services and intravenous tissue plasminogen activator (IV tPA) and mechanical thrombectomy use, mortality, and medical expenditures, by urban versus rural county of residence in the period 2008-15. The proportion of ischemic stroke cases receiving telestroke increased from 0.4 to 3.8 per 1,000 cases, with usage highest among younger, male, non-Hispanic white, and patients in rural or super rural areas (super rural is the bottom quartile of rural areas. Compared with patients receiving usual care, those receiving telestroke had greater IV tPA and mechanical thrombectomy use regardless of county type, while those in super rural counties had lower thirty-day all-cause mortality. Despite increased telestroke use, rural patients remained less likely than urban patients to receive IV tPA. The findings suggest that telestroke service expansion efforts have increased, especially in rural and super rural counties, and have improved outcomes.

Viral infection perturbs host cells and can be used to uncover regulatory mechanisms controlling cellular responses and susceptibility to infections. Using cell biological, biochemical, and genetic tools, we reveal that influenza A virus (IAV) infection induces global transcriptional defects at the 3' ends of active host genes and RNA polymerase II (RNAPII) run-through into extragenic regions. Deregulated RNAPII leads to expression of aberrant RNAs (3' extensions and host-gene fusions) that ultimately cause global transcriptional downregulation of physiological transcripts, an effect influencing antiviral response and virulence. This phenomenon occurs with multiple strains of IAV, is dependent on influenza NS1 protein, and can be modulated by SUMOylation of an intrinsically disordered region (IDR) of NS1 expressed by the 1918 pandemic IAV strain. Our data identify a strategy used by IAV to suppress host gene expression and indicate that polymorphisms in IDRs of viral proteins can affect the outcome of an infection.

Campylobacter and Salmonella are leading causes of bacterial gastroenteritis in the United States and are estimated to cause >1 million episodes of domestically acquired illness annually. Campylobacter and Salmonella are primarily transmitted through contaminated food, but animal-to-human and human-to-human transmission can also occur. Although occupationally acquired infections have been reported, occupational risk factors have rarely been studied. In 2015, the Occupational Safety and Health Administration (OSHA) identified 63 suspected or confirmed cases of Campylobacter infection over 3.5 years at a poultry-processing plant (Kathleen Fagan, OSHA, personal communication, December 2015); most involved new workers handling chickens in the "live hang" area where bacterial contamination is likely to be the highest. These findings were similar to those of a previous study of Campylobacter infections among workers at another poultry-processing plant (4). The investigation led to discussions among OSHA, state health departments, and CDC's National Institute for Occupational Safety and Health (NIOSH); and a surveillance study was initiated to further explore the disease incidence in poultry-processing plant workers and identify any additional occupations at increased risk for common enteric infections. Deidentified reports of campylobacteriosis and salmonellosis among Maryland, Ohio, and Virginia residents aged ≥16 years were obtained and reviewed. Each employed patient was classified into one of 23 major occupational groups using the 2010 Standard Occupational Classification (SOC) system.* Risk ratios (RR) and 95% confidence intervals (CI) for associations between each occupational group and each disease were calculated to identify occupations potentially at increased risk, contrasting each group with all other occupations. In 2014, a total of 2,977 campylobacteriosis and 2,259 salmonellosis cases were reported. Among the 1,772 (60%) campylobacteriosis and 1,516 (67%) salmonellosis cases in patients for whom occupational information was available, 1,064 (60%) and 847 (56%), respectively, were employed. Persons in farming, fishing, and forestry as well as health care and technical occupations were at significantly increased risk for both campylobacteriosis and salmonellosis compared with all other occupations. Targeting education and prevention strategies could help reduce disease, and improving the systematic collection of occupational information in disease surveillance systems could provide a better understanding of the extent of occupationally acquired diseases.

Among older adults, falls are the leading cause of injury-related deaths and emergency department visits, and the incidence of falls in the United States is rising as the number of older Americans increases. Research has shown that falls can be reduced by modifying fall-risk factors using multifactorial interventions implemented in clinical settings. However, the literature indicates that many providers feel that they do not know how to conduct fall-risk assessments or do not have adequate knowledge about fall prevention. To help healthcare providers incorporate older adult fall prevention (i.e., falls risk assessment and treatment) into their clinical practice, the Centers for Disease Control and Prevention's (CDC) Injury Center has developed the Stopping Elderly Accidents, Deaths, and Injuries (STEADI) tool kit. This study was conducted to identify the practice characteristics and providers' beliefs, knowledge, and fall-related activities before they received training on how to use the STEADI tool kit. Data were collected as part of a larger State Fall Prevention Project funded by CDC's Injury Center. Completed questionnaires were returned by 38 medical providers from 11 healthcare practices within a large New York health system. Healthcare providers ranked falls as the lowest priority of five conditions, after diabetes, cardiovascular disease, mental health, and musculoskeletal conditions. Less than 40% of the providers asked most or all of their older patients if they had fallen during the past 12 months. Less than a quarter referred their older patients to physical therapists for balance or gait training, and <20% referred older patients to community-based fall prevention programs. Less than 16% reported they conducted standardized functional assessments with their older patients at least once a year. These results suggest that implementing the STEADI tool kit in clinical settings could address knowledge gaps and provide the necessary tools to help providers incorporate fall-risk assessment and treatment into clinical practice.

Tai Chi: Moving for Better Balance (TCMBB) is an evidence-based fall prevention exercise program being disseminated in selected communities through state injury prevention programs. This study: (1) describes the personal characteristics of TCMBB participants; (2) quantifies participants' functional and self-reported health status at enrollment; and (3) measures changes in participants' functional and self-reported health status post-intervention. There were 421 participants enrolled in 36 TCMBB programs delivered in Colorado, New York, and Oregon. Of the 209 participants who completed both baseline enrollment and post-intervention surveys, the average age of participants was 75.3 (SD ± 8.2) years. Most participants were female (81.3%), non-Hispanic (96.1%), White (94.1%), and described themselves as in excellent or very good health (52.2%). Paired t-test and general estimating equation models assessed changes over the 3-month program period. Pre- and post-assessment self-reported surveys and objective functional data [Timed Up and Go (TUG) test] were collected. On average, TUG test scores decreased (p < 0.001) for all participants; however, the decrease was most noticeable among high-risk participants (mean decreased from 18.5 to 15.7 s). The adjusted odds ratio of reporting feeling confident that a participant could keep themselves from falling was five times greater after completing the program. TCMBB, which addresses gait and balance problems, can be an effective way to reduce falls among the older adult population. By helping older adults maintain their functional abilities, TCMBB can help community-dwelling older adults continue to live independently.

Stepping On is a community-based intervention that has been shown in a randomized controlled trial to reduce fall risk. The Wisconsin Institute for Healthy Aging adapted Stepping On for use in the United States and developed a training infrastructure to enable dissemination. The purpose of this study is to: (1) describe the personal characteristics of Stepping On participants; (2) quantify participants' functional and self-reported health status at enrollment, and (3) measure changes in participants' functional and self-reported health status after completing the program. Both survey and observed functional status [timed up and go (TUG) test] data were collected between September 2011 and December 2013 for 366 participants enrolled in 32 Stepping On programs delivered in Colorado, New York, and Oregon. Paired t-tests and general estimating equations models adjusted for socio-demographic factors were performed to assess changes over the program period. Among the 266 participants with pre-post survey data, the average participant age was 78.7 (SD ± 8.0) years. Most participants were female (83.4%), white (96.9%), and in good health (49.4%). The TUG test scores decreased significantly (p < 0.001) for all 254 participants with pre-post data. The change was most noticeable among high risk participants where TUG time decreased from 17.6 to 14.4 s. The adjusted odds ratio of feeling confident about keeping from falling was more than three times greater after completing Stepping On. Further, the adjusted odds ratios of reporting "no difficulty" for getting out of a straight back chair increased by 89%. Intended for older adults who have fallen in the past or are afraid of falling, Stepping On has the potential to reduce the frequency and burden of older adult falls.