Faculty Bibliography

To identify biomarkers of exposure present in Heated Tobacco Products (HTPs) users' urine which are associated with bladder cancer and to compare quantitative biomarker levels to those seen in combustible cigarette users. A systematic literature review was conducted in December 2020 with no date limits. Relevant studies that reported quantitative urinary biomarker of exposure in HTP users were included. Biomarkers and their parent compounds were classified by carcinogenicity according to the International Agency for Research on Cancer Monographs and were cross-referenced with the Collaborative on Health and the Environment Toxicant and Disease Database to determine associations with bladder cancer. Our literature search identified 561 articles and 30 clinical trial reports. 11 studies met inclusion criteria. These studies identified 29 biomarkers of exposure present in HTP users' urine, which reflect exposure to 21 unique parent compounds. Of these parent compounds, 14 are carcinogens and 10 have a known link to bladder cancer. HTP users' biomarkers of exposure were present at lower levels than combustible cigarette users but higher than never-smokers. Biomarkers of exposure to bladder carcinogens are present in the urine of HTP users. While levels of these biomarkers appear to be lower than combustible cigarette users, chronic urothelial exposure to bladder carcinogens is concerning and degree of bladder cancer risk remains unknown. Further long-term study is needed to elucidate the bladder cancer risk of HTP use.

BACKGROUND:Urologists frequently treat patients for tobacco-related conditions but infrequently engage in evidence-based practices (EBPs) that screen for and treat tobacco use. Improving the use of EBPs will help to identify smokers, promote cessation, and improve patients' health outcomes. METHODS:A prospective type I hybrid effectiveness-implementation study was performed to test the feasibility and effectiveness of using a multilevel implementation strategy to improve the use of tobacco EBPs. All urology providers at outpatient urology clinics within the Veterans Health Administration Greater Los Angeles and all patients presenting for a new urology consultation were included. The primary outcome was whether a patient was screened for tobacco use at the time of consultation. Secondary outcomes included a patient's willingness to quit, chosen quit strategy, and subsequent engagement in quit attempts. RESULTS:In total, 5706 consecutive veterans were seen for a new consultation during the 30-month study period. Thirty-six percent of all visits were for a tobacco-related urologic diagnosis. The percentage of visits that included tobacco use screening increased from 18% (before implementation) to 57% in the implementation phase and to 60% during the maintenance phase. There was significant provider-level variation in adherence to screening. Of all screened patients, 38% were willing to quit, and most patients chose a "cold turkey" method; 22% of the patients elected referral to a formal smoking cessation clinic, and 24% chose telephone counseling. Among those willing to quit, 39% and 49% made a formal quit attempt by 3 and 6 months, respectively. CONCLUSIONS:A strategy that includes provider education and a customized clinical decision support tool can facilitate provider use of tobacco EBPs in a surgery subspecialty clinic.

ABSTRACT/UNASSIGNED:Chronic pain is associated with mental and physical health difficulties and is prevalent among veterans. Cannabis has been put forth as a treatment for chronic pain, and changes in laws, attitudes, and use patterns have occurred over the last two decades. Differences in prevalence of non-medical cannabis use and cannabis use disorder (CUD) were examined across two groups: veterans/non-veterans and those reporting/not reporting recent pain. Data from the National Epidemiologic Survey on Alcohol and Related Conditions-III (2012-2013; n=36,309) were analyzed using logistic regression. Prevalence Differences (PD) for three cannabis outcomes: (1) past-year non-medical cannabis use, (2) frequent (≥3 times a week) non-medical use, and (3) DSM-5 CUD were estimated for those reporting recent moderate-severe pain (veterans/non-veterans), and veterans reporting/not reporting recent pain. Difference in differences were calculated to investigate prevalence differences on outcomes associated with residence in a state with medical cannabis laws (MCLs). Associations between physical and mental health and cannabis variables were tested. Results indicated that the prevalence of recent pain was greater among veterans (PD=7.25%, 95% CI [4.90, 9.60]). Among veterans, the prevalence of frequent cannabis use was greater among those with pain (PD=1.92%, 98% CI [0.21, 3.63]), and, among veterans residing in a state with MCLs, the prevalence of CUD was greater among those reporting recent pain (PD=3.88%, 98% CI [0.36, 7.39]). Findings failed to support the hypothesis that cannabis use improves mental or physical health for veterans with pain. Providers treating veterans with pain in MCL states should monitor such patients closely for CUD.

OBJECTIVES/OBJECTIVE:The number of older adults on methadone maintenance treatment (MMT) for opioid use disorder is increasing, but little is known about the characteristics and healthcare needs of this aging treatment population. This population may experience accelerated aging due to comorbidities and health behaviors. The aim of this study was to compare the prevalence of geriatric conditions among adults age ≥50 on MMT to a nationally representative sample of community-dwelling older adults. METHODS:We performed a geriatric assessment on 47 adults age ≥50 currently on MMT enrolled in 2 opioid treatment programs, in New York City and in East Providence, Rhode Island. We collected data on self-reported geriatric conditions, healthcare utilization, chronic medical conditions, physical function, and substance use. The results were compared to 470 age, sex, and race/ethnicity-matched adults in the national Health and Retirement Study. RESULTS:The mean age of the study sample was 58.8 years and 23.4% were female. The most common chronic diseases were hypertension (59.6%) and arthritis (55.3%) with 66% reporting ≥2 diseases. For geriatric conditions, adults on MMT had a significantly higher prevalence of mobility, hearing, and visual impairments as well as falls, urinary incontinence, chronic pain, and insomnia than the Health and Retirement Study sample. CONCLUSIONS:Older adults on MMT in 2 large opioid treatment programs have a high prevalence of geriatric conditions. An interdisciplinary, geriatric-based approach to care that focuses on function and addresses geriatric conditions is needed to improve the health of this growing population.

Advances in precision oncology, including RAS testing to predict response to epidermal growth factor receptor monoclonal antibodies (EGFR mAbs) in colorectal cancer (CRC), can extend patients' lives. We evaluated uptake and clinical use of KRAS molecular testing, guideline recommended since 2010, in the Veterans Affairs Healthcare System (VA).

Neighborhood-level social determinants are increasingly recognized as factors shaping mental health in adults. Data-driven informatics methods and geographic information systems (GIS) offer innovative approaches for quantifying neighborhood attributes and studying their influence on mental health. Guided by a modification of Andersen's Behavioral Model of Health Service Use framework, this cross-sectional study examined associations of neighborhood resource groups with psychological distress and depressive symptoms in 1,528 U.S. Veterans. Data came from the Veteran Affairs (VA) Health Services Research and Development Proactive Mental Health trial and publicly available sources. Hierarchical clustering based on the proportions of neighborhood resources within walkable distance was used to identify neighborhood resource groups and generalized estimating equations analyzed the association of identified neighborhood resource groups with mental health outcomes. Few resources were found in walkable areas except alcohol and/or tobacco outlets. In clustering analysis, four meaningful neighborhood groups were identified characterized by alcohol and tobacco outlets. Living in an alcohol-permissive and tobacco-restrictive neighborhood was associated with increased psychological distress but not depressive symptoms. Living in urban or rural areas and access to VA care facilities were not associated with either outcome. These findings can be used in developing community-based mental health-promoting interventions and public health policies such as zoning policies to regulate alcohol outlets in neighborhoods. Augmenting community-based services with Veteran-specialized services in neighborhoods where Veterans live provides opportunities for improving their mental health.

OBJECTIVE/UNASSIGNED:The authors sought to estimate the prevalence of past-12-month and lifetime cannabis use and cannabis use disorder among U.S. veterans; to describe demographic, substance use disorder, and psychiatric disorder correlates of nonmedical cannabis use and cannabis use disorder; and to explore differences in cannabis use and cannabis use disorder prevalence among veterans in states with and without medical marijuana laws. METHODS/UNASSIGNED:Participants were 3,119 respondents in the 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions-III (NESARC-III) who identified as U.S. veterans. Weighted prevalences were calculated. Logistic regression analyses tested associations of nonmedical cannabis use and cannabis use disorder with demographic and clinical correlates and examined whether prevalence differed by state legalization status. RESULTS/UNASSIGNED:The prevalences of any past-12-month cannabis use and cannabis use disorder were 7.3% and 1.8%, respectively. Lifetime prevalences were 32.5% and 5.7%, respectively. Past-12-month and lifetime cannabis use disorder prevalence estimates among nonmedical cannabis users were 24.4% and 17.4%, respectively. Sociodemographic correlates of nonmedical cannabis use and use disorder included younger age, male gender, being unmarried, lower income, and residing in a state with medical marijuana laws. Nonmedical cannabis use and use disorder were associated with most psychiatric and substance use disorders examined. CONCLUSIONS/UNASSIGNED:Among veterans, the odds of nonmedical cannabis use and use disorder were elevated among vulnerable subgroups, including those with lower income or psychiatric disorders and among survey participants residing in states with medical marijuana laws. The study findings highlight the need for clinical attention (e.g., screening, assessment) and ongoing monitoring among veterans in the context of increasing legalization of cannabis.

This study assessed the prevalence of prenatal smoking, factors associated with prenatal smoking, and its association with birth outcomes in a sample of pregnant women in Egypt. Pregnant women were recruited during their last trimester from antenatal clinics in Cairo from June 2015 to May 2016. Participants completed an interviewer-administered survey that assessed tobacco use and attitudes, and exhaled carbon monoxide (CO) was measured. Gestational age at delivery and offspring birth weight were collected via a postnatal phone interview. Two hundred pregnant women ages 16-37 years participated. More than a quarter (29.0%) of women reported smoking (cigarettes, hookah, or both) during their current pregnancy, and hookah was more popular than cigarettes. Most women who smoked prior to their current pregnancy either maintained their current smoking habits (46.6%) or switched from dual to hookah-only smoking (46.6%). Current smokers during pregnancy had a higher mean (±SD) exhaled CO level (2.97 ± 1.45 vs. 0.25 ± 0.60 ppm, p < 0.001) and had babies with a lower mean birth weight (2583 ± 300 vs. 2991 ± 478 g, p < 0.001) than non-smokers. Smokers during pregnancy had greater odds of premature birth and/or low birth weight babies compared to non-smokers. Dual cigarette-hookah smokers had the highest risk. Additional focused programs are required to prevent women of childbearing age from initiating tobacco use and empower women to stop tobacco use during the preconception and gestational periods.

Cancer survivors benefit from evidence-based smoking cessation treatment. A crucial first step in this process is a clinician recommending that the patient quit smoking. However, contemporary delivery of advice to quit among patients with cancer is not well known. In a cross-sectional analysis of all adult smokers included in a prospective population-representative study of US adults, we analyzed the frequency that patients reported receiving advice to quit smoking from a healthcare professional according to reported cancer history (no cancer, tobacco-related cancer, non-tobacco related cancer history). Among an estimated 28.3 million smokers, 9.3% reported a history of cancer, 48.8% of which were tobacco-related cancers. In general, advice to quit was reported by more (67.8%) cancer survivors than those adults without any cancer (56.0%). After adjustment for sociodemographic factors, smokers with a non tobacco-related cancer (0.51, 95% CI 0.32-0.83) and those without any cancer history (0.43, 95% CI 0.30-0.63) were both less likely to report being advised to quit smoking than patients with a tobacco-related cancer history.

INTRODUCTION:Automated text messaging programs have been studied as a treatment tool, but have not been studied as an outreach tool to increase the reach of smoking cessation treatment. AIMS AND METHODS:Two distinct text messaging programs were developed. One was aimed at connecting smokers to quitline phone counseling via text message (Text4Coach [T4C]) and the other was aimed at connecting smokers to a smoking cessation text messaging program (Text&Quit [T&Q]). Adult daily smokers with Medicaid insurance (N = 80) were recruited from the Emergency Department at an urban hospital and randomized to T4C or T&Q. The primary outcome was program reach. RESULTS:Outreach text messages were found to have moderately high uptake, with the majority of participants (63.8%) opting into their assigned tobacco treatment program and younger and female participants more likely to opt in (p < .01). Receipt of the treatment portion of the program differed among the programs with 67.5% of T&Q receiving the treatment program and 27.5% of T4C receiving the program (p < .001). Most participants across both groups replied to at least one message (71.3%) and very few unsubscribed from the service over the 3-week trial. The majority of participants reported overall satisfaction with their program (63.8%), found it helpful for quitting smoking (60.0%) and would recommend the program to a friend (62.5%). Overall, 11 (13.8%) participants reported being abstinent from smoking for the past 7 days at follow-up, with no differences between groups. CONCLUSIONS:Outreach text messages were found to have moderately high reach among Medicaid smokers. Larger trials are needed to evaluate the impact of such programs on helping low-income smokers quit. IMPLICATIONS:Automated text messaging programs have been tested as a treatment tool, but have not been tested as an outreach tool to increase the reach of smoking cessation treatment. This study tests a new way of conducting outreach to smokers in a health system through text messages. It tests the effect of outreach on (1) rates of opting in and (2) successful treatment delivery. Results may inform new models of providing outreach for tobacco treatment in health systems.