Faculty Bibliography

BACKGROUND/UNASSIGNED:Ecological momentary assessment (EMA) provides insight into the effectiveness and feasibility of smoking-related interventions. OBJECTIVE/UNASSIGNED:The objective of this paper was to assess adherence to an EMA protocol and compare EMA-derived responses with measures collected through multiple surveys. METHODS/UNASSIGNED:A subanalysis was conducted using data from a 12-week, open-label, and 2-arm pilot randomized clinical trial among adult smokers with chronic obstructive pulmonary disease, coronary artery disease, peripheral vascular disease, or asthma in the last 12 months (n=109). Participants were randomized to either electronic cigarette (EC) or nicotine replacement therapy (NRT) treatment arms. We compared EMA data collected through automated SMS text message prompts sent to participants 4 times daily for 12 weeks, including cigarettes smoked per day (CPD), craving, and satisfaction, to survey data collected at 12 weeks. Convergent validity between survey- and EMA-reported measures was evaluated using Pearson correlation and paired t tests. CPD was modeled using negative binomial regression. Relative rates (RRs) of reaching at least 50%, 75%, and 100% CPD reduction between two arms were calculated using both EMA and survey data. RESULTS/UNASSIGNED:The majority of participants were non-Hispanic White (63/109, 58%) and female (60/109, 55%), and had a median age of 60 (IQR 54-65) years. Among the 109 participants, 59.6% (n=65) were consistently adherent to the EMA protocol over the 12-week period. Median weekly EMA response rate remained high over the 12-week study period even though a modest decline was observed (week 1, 97.8% and week 12, 89.4%). The mean CPD declined significantly (week 1, mean 14.2, SD 9.9 and week 12, mean 4.6, SD 6.7; P<.001). EMA-derived and survey-based CPD measurements were positively correlated (r=0.73, 95% CI 0.6-0.82) as were measures of craving (r=0.38, 95% CI 0.17-0.56). No significant paired difference in CPD was observed between EMA measurements and surveys. A significant effect of time on CPD EMA data (incidence rate ratio [IRR] 1-week change 0.93; P<.01) and survey data was found (IRR 12-week change 0.36; P<.01). However, the treatment effect was not significant, which aligned with the RR results. An increase in the EC consumption was observed over time in the EC arm, with 12.1% (7/58) fully switched to EC (defined as CPD=0 and EC use>0) and 20.7% (12/58) mostly switched (defined as a reduction in CPD>75% and EC use>0) in week 12. CONCLUSIONS/UNASSIGNED:EMA is a suitable method to collect recall-based smoking-related data. Though results from mixed effect modeling and RR comparisons were similar using EMA or survey data, EMA provides unique advantages, namely greater granularity in the time and the capability to detect switching patterns in near real time. These findings provide the feasibility of using EMA in developing smoking cessation interventions in future tobacco harm reduction research.

BACKGROUND:Smoking among adults in substance use disorder (SUD) treatment programs is common with limited success in quitting. Given e-cigarettes' potential for smoking harm reduction, it is important to examine e-cigarette use among people in SUD treatment. METHODS:We analyzed data from adults who have received SUD treatment in the past year, from the 2020-2021 National Survey on Drug Use and Health (N = 1,246). We delineated correlates of lifetime and current (past-month) use e-cigarette use. RESULTS:Among adults receiving SUD treatment, an estimated 39.4 % (95 % CI: 34.1, 45.1) have used e-cigarettes in their lifetime and 19.5 % (95 % CI: 16.1, 23.6) of those currently vape. Among those reporting current vaping, an estimated 57.3 % (95 % CI: 44.9-68.8) currently smoke cigarettes and half (54.2 % [95 % CI: 41.1-66.7]) currently use cannabis. Compared to those who only received treatment for alcohol use disorder, those receiving treatment for drug use (aPR = 1.47, 95 % CI: 1.09-1.99) and alcohol and drug use (aPR = 1.60, 95 % CI: 1.16-2.22) had higher prevalence of lifetime e-cigarette use, and those reporting treatment for drug use only (aPR = 2.60, 95 % CI: 1.52-4.46) and alcohol and drug use (aPR = 2.82, 95 % CI: 1.63-4.87) also had higher prevalence of current e-cigarette use. CONCLUSIONS:The prevalence of e-cigarette use was higher among those in treatment for both drug or alcohol and drugs only than those receiving treatment for only alcohol use. Smoking harm reduction interventions can potentially include e-cigarette among those receiving drug treatment. There is also a need to address challenges of dual e-cigarette and cigarette use, as well as dual e-cigarette use with cannabis.

BACKGROUND:Off-label prescribing of ketamine to treat psychiatric disorders has been increasing, as has recreational use and availability of illicit ketamine. It is important to examine trends in ketamine-related poisonings to inform public health efforts. METHODS:We examined data from poisonings (exposures) involving ketamine reported to Poison Centers in the US between 2019 and 2023 (n = 1519). Annual trends were examined for number of exposures and characteristics of exposures, and we delineated correlates of major (life-threatening) adverse effects and death compared to less severe outcomes. RESULTS:The number of reported ketamine exposures increased from 205 in 2019 to 414 in 2023. Most cases involved ketamine ingestion (57.2 %), and a plurality involved misuse or "abuse" (36.2 %) and moderate effects (44.8 %). The percentage of cases involving suspected suicide attempts doubled from 12.7 % in 2019 to 25.9 % (a 103.9 % increase; P < 0.001); ingestion use increased from 46.0 % to 65.2 % (a 41.7 % increase; P < 0.001), and cases involving ketamine in liquid form decreased from 65.1 % to 41.2 % (a 36.7 % decrease; P < 0.001). Cases with major effects or death decreased from 23.4 % in 2019 to 15.6 % in 2023 (a 33.2 % decrease; P = 0.039). A major event or death was experienced by 18.6 % of cases, but prevalence was lower for those who inhaled ketamine (aPR=0.49, 95 % CI:0.29-0.85) compared to those who did not inhale. DISCUSSION/CONCLUSIONS:Poisonings involving ketamine are at their highest in reporting history. Both medical and recreational ketamine use and related adverse events need to be monitored, especially as off-label prescribing of take-home oral formulations appears to be increasing.

INTRODUCTION/BACKGROUND:Family history of cardiovascular disease (CVD) is an independent risk factor for coronary heart disease, and the risk increases with number of family members affected. It offers insights into shared genetic, environmental and lifestyle factors that influence heart disease risk. In this study, we aimed to estimate the association of family history of CVD and its risk factors, as well as the number of affected parents or siblings, with the prevalence of major cardiometabolic risk factors (CRFs) such as hypertension, dysglycemia, dyslipidemia and obesity in a sample of young adults. METHODS:The study utilized a cross-sectional analysis of baseline data from the UAE Healthy Future Study (UAEHFS), involving 5,058 respondents below the age of 40 years. Information on parental and sibling health regarding heart disease and stroke, hypertension, type 2 diabetes (T2D), high cholesterol and obesity, was gathered through a self-completed questionnaire. CRFs were estimated based on body measurements, biochemical markers and self-reported conditions. Multivariate regression analyses were used to examine the associations between categories of family history and the estimated CRFs. RESULTS:More than half (58%) of the sample reported having a positive family history of CVD or its risk factors. The most common family history reported was T2D and hypertension, which accounted for 39.8% and 35% of the sample, respectively. The prevalence of all CRFs was significantly higher among those with a positive family history compared to those without family-history (P < 0.001). The prevalence and likelihood of having a CRF increased as the number of parents and/or siblings affected increased, indicating a potential dose-response trend. The odds were highest among individuals with both parental-and-sibling family history of disease, where they increased to 2.36 (95% CI 1.68-3.32) for hypertension, 2.59 (95% CI 1.86-3.60) for dysglycemia, 1.9 (95% CI 1.29-2.91) for dyslipidemia and 3.79 (95% CI 2.83-5.06) for obesity. CONCLUSION/CONCLUSIONS:In this study, we addressed the effect of family history as an independent risk factor on the major CRFs for the first time in the region. We observed that the majority of young Emirati adults had a positive family history of CVD-related diseases. Family history showed a strong association with the increased prevalence of CRFs. Additionally, having more relatives with specific diseases was associated with a higher risk of developing CRFs. Identifying people with a history of these conditions can help in early intervention and personalized risk assessments.

INTRODUCTION/BACKGROUND:E-cigarettes (ECs) may be an effective harm reduction strategy for individuals with conditions like chronic obstructive pulmonary disease (COPD), asthma, coronary artery disease (CAD), and peripheral arterial disease (PAD) who smoke combustible cigarettes (CCs). Our aim was to examine how individuals with chronic conditions transition from CCs to ECs and its impact on health outcomes. METHODS:In a pilot randomized controlled trial (RCT), patients with COPD, asthma, CAD/PAD who currently smoke CCs and have not used nicotine replacement therapy (NRT) or ECs in the past 14 days were randomized to receive ECs or combination NRT with behavioral counselling. Disease symptoms, acceptability/satisfaction (TSQM-9) and feasibility, and cigarettes per day (CPD), and/or EC use were collected at baseline, 3-, and 6-months. Descriptive statistics and a linear regression were conducted to explore changes in CPD and chronic condition-specific assessments (CAT, SAQ-7, ACT) that assess COPD, asthma, and CAD/PAD symptom change. RESULTS:At 3-months, the EC group (n=63, mean CPD=9±11) reduced their CPD by 54% vs. 60% in the NRT group (n=58, mean CPD=7±6), p=0.56. At 6-months, 17.5% had switched completely to ECs while 23% quit smoking in the NRT arm. CAT scores showed a significant 6-point reduction in the EC arm (p=0.03). Participants scored an average of 69±27 for EC effectiveness, 87±23 for convenience, and 75±27 for overall satisfaction. CONCLUSIONS:This pilot study suggests that ECs may be a safer alternative for chronic condition patients using CCs and warrants further research on expected smoking cessation/reduction among individuals who use ECs. IMPLICATIONS/CONCLUSIONS:The findings from this pilot RCT hold significant implications with chronic conditions such as COPD, asthma, CAD and PAD who smoke CCs. The observed reduction in cigarettes per day and improvement in respiratory symptoms suggest that switching to ECs appears feasible and acceptable among those with chronic diseases. These results suggest that ECs may offer an alternative for individuals struggling to quit CC smoking through existing pharmacotherapies. This study supports further exploration of switching to ECs as a harm reduction strategy among CC users who have been unsuccessful at quitting by other means.

INTRODUCTION/BACKGROUND:E-cigarettes (ECs) and heated tobacco products (HTPs) are recent arrivals to the nicotine product market in the Middle East, which are rapidly growing in popularity in the region. There is a lack of surveillance data at the country-level on use of these products and factors associated with their use. METHODS:This study analyzed a subset of data from the UAE Healthy Future Study, a population-based cohort study of the Emirati population, to determine the factors associated with EC and HTP use among a sample of Emirati adults (≥ 18 years). The baseline assessment and supplementary questionnaires, conducted from 2016 to 2023, included data on combustible tobacco use, EC, and HTP use and sociodemographic characteristics. RESULTS:Of the 2,041 individuals who answered questions on EC use, 32% reported ever using them. Of 521 people providing data on HTP, 30% reported ever using them. After adjusting for age, sex, education, perceived harms and perceived addictiveness of EC, current EC use was associated with baseline combustible tobacco smoking (aOR = 27.63, 95% confidence interval [CI] 14.39, 53.06), users of a younger age (aOR=0.91, 95%CI 0.88, 0.95), and users of male sex (OR = 2.15, 95% CI 1.21, 3.81). Current HTP use was less common, but was also associated with baseline combustible tobacco use. CONCLUSIONS:Use of ECs and HTPs was more common among those who used combustible tobacco. Future research should examine use trajectories among those who do and do not smoke, as well as uptake of these products among youth. IMPLICATIONS/CONCLUSIONS:Non-combustible nicotine products are growing in popularity in the Middle East Region. Our study found that EC and HTP use is associated with baseline combustible tobacco use and that concurrent users may use them to cut down on their combustible tobacco use. Continued comprehensive population-based monitoring of all tobacco and nicotine products, especially EC and HTP use, will provide current data to aid in appropriately informing public health and harm reduction messages and programming.

INTRODUCTION/BACKGROUND:Cannabis use and cannabis use disorder (CUD) are associated with adverse psychosocial outcomes, but their impact on workplace absenteeism remains poorly understood. Moreover, few studies have examined the role of CUD severity. This study aims to address these gaps by examining the associations between cannabis use recency, frequency, CUD severity, and workplace absenteeism. METHODS:Cross-sectional data from a U.S. representative sample of full-time employed adults aged ≥18 from the 2021 to 2022 National Survey on Drug Use and Health (N=46,499) were analyzed. The associations between cannabis use recency, past-month cannabis use frequency, CUD severity, and workplace absenteeism (measured by self-reported number of missed days due to illness/injury and skipped work in the last 30 days) were evaluated using negative binomial regression, adjusting for sociodemographic characteristics and other substance use. Data were analyzed in 2023-2024. RESULTS:An estimated 15.9% of full-time employed adults used cannabis in the past month, with 6.5% meeting CUD criteria. Past-month cannabis use (compared to no lifetime use), more frequent past-month cannabis use (compared to no use in the past month), and each level of CUD (compared to no CUD) were associated with increased incidence of both missing work due to illness/injury and skipping work, with a dose-response relationship observed between CUD severity and skipping work (mild: adjusted incident rate ratio [aIRR]=1.60 [95% confidence interval [CI]=1.24, 2.08]; moderate: aIRR=1.98 [95% CI=1.50, 2.61]); severe (aIRR=2.87 [95% CI=2.12, 3.88]). CONCLUSIONS:Individuals with recent and frequent cannabis use and CUD are disproportionately prone to workplace absenteeism. Results support the enforcement of workplace drug prevention and treatment policies.

INTRODUCTION/BACKGROUND:Lupus nephritis (LN) is a frequent complication of SLE, occurring in up to 60% of adult patients and ultimately progressing from acute inflammation to chronicity with fibrosis and end-stage kidney failure in 10%-30% of patients. Racial/ethnic minority patients with lupus have worse long-term outcomes, including progression to end-stage renal disease and overall mortality. A major challenge in the management of patients with SLE is delayed identification of early kidney disease, which ultimately leads to a greater burden on both patients and the health system. METHODS AND ANALYSIS/METHODS:Using a mixed methods approach, this study will develop, adapt and evaluate a home urine sampling protocol with a text-messaging reminder and data capture system for patients at elevated risk of de novo LN or relapse. First, a feasibility pilot using a single-group trial design (n=18) will be implemented, with a feasibility assessment and qualitative, debriefing interviews with patients to further refine the intervention. The second phase is a comparative effectiveness trial of the intervention (n=160) with the primary outcome of biopsy eligibility, that is, the participant has a clinical indication for a kidney biopsy (urine protein-creatinine ratio≥0.5), whether or not the patient actually undergoes the biopsy procedure. The randomised trial includes an economic evaluation of the adapted home urinalysis protocol. DISCUSSION AND DISSEMINATION/CONCLUSIONS:It is unknown whether weekly home-based urine sampling can identify proteinuria sooner than standard care; if found sooner, kidney problems could be diagnosed earlier, hopefully leading to earlier care for less-involved disease and subsequent reduced morbidity. The data collected in this trial will inform future feasibility and effectiveness of text-messaging-based home urine sampling interventions. TRIAL REGISTRATION NUMBER/BACKGROUND:The randomised trial will be registered with ClincialTrials.gov prior to enrolment start.

This cross-sectional study included 18,797 participants from six longitudinal cohorts (CARDIA, FHS Gen III, HCHS/SOL, MESA, MiHeart, and REGARDS). 5,806 of them were with high-sensitivity C-reactive protein (hs-CRP) measurements. We found that among exclusive electronic cigarette (EC) use was associated with significantly lower high-sensitivity C-reactive protein (hs-CRP) levels compared to exclusive combustible cigarette use, suggesting a potentially lower inflammatory burden. hs-CRP levels in dual users and former smokers currently using EC were comparable to those observed in exclusive cigarette smokers. In contrast, individuals who exclusively used ECs showed no significant difference in hs-CRP levels compared to never smokers. These findings have important implications for tobacco regulation, public health, and clinical practice, highlighting the need for continued monitoring of EC-related health impacts.

OBJECTIVE:Both diabetes and smoking significantly increase the risk of cardiovascular disease (CVD). Understanding whether a diagnosis of diabetes can be leveraged to promote smoking cessation is a gap in the literature. METHODS:We used data from the US National Health Interview Survey, 2006 to 2018, to investigate the relationship between self-report of diagnosis of diabetes and subsequent smoking abstinence among 142,884 respondents who reported regular smoking at baseline. Effect sizes were presented as hazard ratios (HRs) derived from multivariable Cox regression models adjusted for potential confounders using diabetes as a time-dependent covariate. Subgroup-specific estimates were obtained using interaction terms between diabetes and variables of interest. RESULTS:A self-reported diagnosis of diabetes was associated with smoking abstinence (HR: 1.21; 95% CI: 1.16 to 1.27). The strength of the association varied based on race (P for interaction: 0.004), where it was strongest in African Americans (HR: 1.44; 95% CI: 1.29 to 1.60); income (P for interaction <0.001), where it was strongest in those with a yearly income less than $35,000 (HR: 1.45; 95% CI: 1.36 to 1.53); and educational attainment (P for interaction <0.001), where it was strongest in those who did not attend college (HR: 1.48; 95% CI: 1.40 to 1.57). CONCLUSION/CONCLUSIONS:Among adults who smoke, a diagnosis of diabetes is significantly associated with subsequent smoking abstinence. The association is strongest in socially disadvantaged demographics, including African Americans, low-income individuals, and those who did not attend college.