Citations

Background The first year of military service in the United States Air Force (USAF) is a high-risk time for tobacco use. Previous studies have demonstrated the effectiveness of a tobacco ban during Basic Military Training (BMT). However, no studies have examined the effect of increasing the protracted ban for an additional 4 weeks. Understanding the patterns of initiation and reinitiation following the protracted ban will inform future intervention and policy efforts. Methods The current study examines patterns of cigarette smoking among a sample of 2188 USAF personnel at baseline and after their first year of service. Results One year after BMT, we observed that 65.0% of USAF enlistees remained never smokers, 9.6% remained abstinence from cigarettes, 9.3% initiated cigarette smoking, and 16.1% reinitiated cigarette smoking. Despite the extended tobacco ban in BMT and Technical Training, 12.6% of individual who never smoked initiated cigarette smoking and 62.6% of individuals who formerly smoked reinitiated. Over half (54.2%) of Airmen who reported smoking cigarettes at follow-up reported initiating or reinitiating during Technical Training. Conclusions Our findings indicate that although the increased ban prevents additional individuals who smoked cigarettes prior to joining the Air Force from reinitiating, it has no effect on initiation among individuals who report never using prior to military service. Additional research is needed to understand what may be leading to these high rates of initiation and reinitiation in Technical Training following the ban.

ObjectivesTo evaluate the ability of claims‐based risk adjustment and incremental components of clinical data to identify 90‐day episode costs among lower extremity joint replacement (LEJR) patients according to the Centers for Medicare & Medicaid Services (CMS) Comprehensive Care for Joint Replacement (CJR) program provisions.Data SourcesMedicare fee‐for‐service (FFS) data for qualifying CJR episodes in the United States, and FFS data linked with clinical data from CJR‐qualifying LEJR episodes performed at High Value Healthcare Collaborative (HVHC) and Mayo Clinic in 2013. HVHC and Mayo Clinic populations are subsets of the total FFS population to assess the additive value of additional pieces of clinical data in correctly assigning patients to cost groups.Study DesignMultivariable logistic models identified high‐cost episodes.Data Collection/Extraction MethodsClinical data from participating health care systems merged with Medicare FFS data.Principal FindingsOur three populations consisted of 363 621 patients in the CMS population, 4881 in the HVHC population, and 918 in the Mayo population. When modeling per CJR specifications, we observed low to moderate model performance (CMS C‐Stat = 0.714; HVHC C‐Stat = 0.628; Mayo C‐Stat = 0.587). Adding CMS‐HCC categories improved identification of patients in the top 20% of episode costs (CMS C‐Stat = 0.758, HVHC C‐Stat = 0.692, Mayo C‐Stat = 0.677). Clinical variables, particularly functional status in the population for which this was available (Mayo C‐Stat = 0.783), improved ability to identify patients within cost groups.ConclusionsPolicy makers could use these findings to improve payment adjustments for bundled LEJR procedures and in consideration of new data elements for reimbursement.

Abstract Background Many clinicians who prescribe opioids for chronic noncancer pain (CNCP) express concerns about opioid misuse, addiction, and physiological dependence. We evaluated the association between the degree of clinician concerns (highly vs less concerned), clinician attributes, other attitudes and beliefs, and opioid prescribing practices. Methods A web-based survey of clinicians at a multispecialty medical practice. Results Compared with less concerned clinicians, clinicians highly concerned with opioid misuse, addiction, and physiological dependence were more confident prescribing opioids (risk ratio [RR] = 1.34, 95% confidence interval [CI] = 1.08–1.67) but were more reluctant to do so (RR = 1.13, 95% CI = 1.03–1.25). They were more likely to report screening patients for substance use disorder (RR = 1.18, 95% CI = 1.01–1.37) and to discontinue prescribing opioids to a patient due to aberrant opioid use behaviors (RR = 1.30, 95% CI = 1.13–1.50). They were also less likely to prescribe benzodiazepines and opioids concurrently (RR = 0.40, 95% CI = 0.25–0.65). Highly concerned clinicians were more likely to work in clinics which engage in “best practices” for opioid prescribing requiring urine drug screening (RR = 4.65, 95% CI = 2.51–8.61), prescription monitoring program review (RR = 2.90, 95% CI = 1.84–4.56), controlled substance agreements (RR = 4.88, 95% CI = 2.64–9.03), and other practices. Controlling for clinician concern, prescribing practices were also associated with clinician confidence, reluctance, and satisfaction. Conclusions Highly concerned clinicians are more confident but more reluctant to prescribe opioids. Controlling for clinician concern, confidence in care and reluctance to prescribe opioids were associated with more conservative prescribing practices.

Polygenic scores (or genetic risk scores) quantify the aggregate of small effects from many common genetic loci that have been associated with a trait through genome-wide association. Polygenic scores were first used successfully in schizophrenia and have since been applied to multiple phenotypes including multiple sclerosis, rheumatoid arthritis, and height. Because human height is an easily-measured and complex polygenic trait, polygenic height scores provide exciting insights into the predictability of aggregate common variant effect on the phenotype. Shawn Bradley is an extremely tall former professional basketball player from Brigham Young University and the National Basketball Association (NBA), measuring 2.29 meters (7 ′ 6 ″ , 99.99999th percentile for height) tall, with no known medical conditions. Here, we present a case where a rare combination of common SNPs in one individual results in an extremely high polygenic height score that is correlated with an extreme phenotype. While polygenic scores are not clinically significant in the average case, our findings suggest that for extreme phenotypes, polygenic scores may be more successful for the prediction of individuals.

Alzheimer’s disease (AD) is an age-associated neurodegenerative disease characterized by amyloidosis, tauopathy, and activation of microglia, the brain resident innate immune cells. We show that a RiboTag translational profiling approach can bypass biases due to cellular enrichment/cell sorting. Using this approach in models of amyloidosis, tauopathy, and aging, we revealed a common set of alterations and identified a central APOE-driven network that converged on CCL3 and CCL4 across all conditions. Notably, aged females demonstrated a significant exacerbation of many of these shared transcripts in this APOE network, revealing a potential mechanism for increased AD susceptibility in females. This study has broad implications for microglial transcriptomic approaches and provides new insights into microglial pathways associated with different pathological aspects of aging and AD.

Objectives: Opioid prescribing in the United States has tripled since 1999. At the same time, there has been increasing attention to patient satisfaction. It has been suggested that providers concerned about patient satisfaction may be more likely to treat pain with opioids. We examined primary care providers’ opioid prescribing practices to determine if higher provider opioid prescribing was associated with higher patient satisfaction. Methods: For 77 primary care providers, we compared each provider’s opioid prescription count and amount prescribed to each provider’s patient panel satisfaction measures. Satisfaction measures were obtained from surveys following office visits and consisted of Likert-type scale answers concerning satisfaction for pain management and other provider satisfaction domains. Satisfaction surveys were generated independent of patient complaint of pain and had the aim of overall assessment of patient satisfaction with the provider and the healthcare system. We assessed the correlation between opioid prescribing and patient panel pain management satisfaction using linear regression models with and without adjustment for patient complexity. Results: We observed no statistically significant correlation between patient panel satisfaction with their provider and the quantity of opioids that the provider prescribed (R 2 = 0.006; p = 0.52). There was also no correlation between patient panel satisfaction and the number of opioid prescriptions written by their provider (R 2 = 0.005; p = 0.54). Additional multivariate analysis after adjusting for patient complexity also demonstrated no correlation of pain management satisfaction with opioids prescribed. Although the quantity of opioid prescriptions was not correlated with pain management satisfaction, several other patient satisfaction measures correlated significantly with pain management satisfaction. Conclusion: Primary care providers with a greater rate of opioid prescribing did not have higher patient panel satisfaction scores for pain management. In primary care, providers who want to improve patient satisfaction should focus on other components of patient care besides opioid-based pain management.

Background: Chronic noncancer pain (CNCP) and chronic opioid therapy (COT) commonly coexist with comorbid depression and anxiety. We investigated the prevalence of depression and anxiety and their correlates at the time of controlled substance agreement (CSA) enrollment among patients with CNCP and a history of depression or anxiety on COT. Methods: Retrospective analysis of 1066 patients in a Midwest primary care practice enrolled in CSAs for COT between May 9, 2013, and August 15, 2016. Patients with self-reported symptoms or a clinical history of depression or anxiety were screened at CSA enrollment using the Patient Health Questionnaire–9 item scale and the Generalized Anxiety Disorder–7 item scale. Results: The percentage of patients screening positive for depression and anxiety at CSA enrollment was 15.4% and 14.4%, respectively. Patients screening positive for depression or anxiety were more likely to be younger, unmarried, unemployed, and live alone compared to patients not screening positive. Patients screening positive for depression or anxiety were more likely to smoke cigarettes and report concern from friends or relatives regarding alcohol consumption. Compared to patients screening negative, patients screening positive for depression had higher odds of receiving opioid doses of ≥50 morphine milligram equivalents per day (adjusted odds ratio: 1.62; 95% confidence interval: 1.01-2.58). Conclusion: Anxiety and depression are prevalent at enrollment in CSAs among patients receiving COT. Future research is needed to determine whether recognition of anxiety and depression leads to improved management and outcomes for this population.

Abstract Yoga is increasing in popularity in the United States and across the globe. However, most yoga programs are provided outside the worksite; although many companies offer worksite wellness programs, at present there is limited documentation regarding the potential benefits of participating in a worksite yoga program. Therefore, the purpose of this project was to examine the potential effect of a worksite yoga program on self-acceptance, quality of life, and perceived stress. A prospective cohort pilot study that examined a structured worksite yoga program was designed and tailored to individuals new to yoga. The 8-week Yoga Foundations program was conducted at an academic medical center's worksite wellness center with 86 subjects. Outcome measures were the 36-item Self-Acceptance Scale; a six-item quality-of-life measure that assesses overall, social, mental, physical, emotional, and spiritual well-being; and the ten-item Perceived Stress Scale. Participants demonstrated significant improvement in their overall self-acceptance (p < 0.001), quality of life (p < 0.001), and perceived stress (p < 0.001) levels. They also highly rated the yoga instructors and the weekly format of the program. Participation in a Yoga Foundations program was associated with improvements in self-acceptance, quality of life and stress levels in worksite wellness center members. Future studies should use randomized designs and examine other wellness domains to learn more about the potential benefits of worksite yoga programs.

Background Neuroimaging for headache commonly exceeds published guideline recommendations and may be overutilized. Methods We conducted a retrospective cross-sectional study of all outpatient community patients at Mayo Clinic Rochester who underwent a neuroimaging study for a headache indication in 2015. We assessed the neuroimaging utilization pattern, clinical application of red flags, and concordance with neuroimaging guidelines. Results We identified 190 outpatients who underwent 304 neuroimaging studies for headache. The median age was 46.5 years (range 18–91 years), 65% were female, and most reported no prior history of headache (n = 97, 51%). A minority of patients had prior brain imaging studies (n = 44, 23%) and neurological consultations for headache (n = 29, 15%). Few studies were ordered after consultation with a neurologist (n = 14, 7%). Seventy-seven percent of patients were documented to have a “red flag” justifying the imaging study. Abnormal neuroimaging findings were found in 3.1% of patients with warning flags (5/161); carotid dissection (n = 3) and reversible cerebral vasoconstrictive syndrome (n = 2). An estimated 35% of patients were imaged against guidelines. Conclusions The prevalence of serious causes of headache in a community practice was low despite the presence of a documented red flag symptom. Inadequate understanding or application of red flags may be contributing to recommendations to image patients against current guidelines. Interventions to reduce unnecessary neuroimaging of patients with headache need to be designed and implemented.