Sociodemographic Differences in Menthol Cigarette Use in the United States.

BACKGROUND: Menthol cigarette use is associated with higher smoking initiation and reduced smoking cessation. We investigated sociodemographic differences in menthol and nonmenthol cigarette use in the United States. METHODS: We used the most recent available data from the May 2019 wave of the nationally-representative Tobacco Use Supplement to the Current Population Survey. The survey weights were used to estimate the national prevalence of individuals who currently smoke among individuals who use menthol and nonmenthol cigarettes. Survey-weighted logistic regression methods were used to estimate the association of menthol cigarette use with formerly smoking cigarettes and attempting to quit within the past 12 months while adjusting for several sociodemographic factors associated with smoking. RESULTS: The prevalence of current smoking in individuals who ever smoked menthol cigarettes was higher 45.6% (44.5%-46.6%) compared to 35.8% (35.2%-36.4%) in individuals who ever smoked nonmenthol cigarettes. Non-Hispanics Blacks who used menthol cigarettes had a higher likelihood of being an individual who currently smokes (OR 1.8, 95% CI: [1.6-2.0], P-value <.001) compared to Non-Hispanic Whites who used nonmenthol cigarettes. However, Non-Hispanics Blacks who used menthol cigarettes were more likely to make a quit attempt (OR 1.4, 95%CI: [1.3-1.6], P-value <.001) compared to non-Hispanic Whites who used nonmenthol cigarettes. CONCLUSIONS: Individuals who currently use menthol cigarettes are more likely to make attempts to quit smoking. However, this did not translate to successfully quitting smoking, as evidenced by the proportion of individuals who formerly smoked within the population which used menthol cigarettes.

Human Immunodeficiency Virus/Sexually Transmitted Infection Testing Preferences for Young Black Men Who Have Sex With Men in the Southeastern United States: Implications for a Post-COVID-19 Era.

BACKGROUND: Little is known regarding human immunodeficiency virus (HIV)/sexually transmitted infection (STI) testing preferences for location, staffing, and hours of operation among Young Black men who have sex with men (YBMSM) in the Southeastern United States, a population at high risk for HIV/STIs. We used a discrete choice experiment to explore these preferences. METHODS: Young Black men who have sex with men ages 16 to 35 years in Birmingham, AL and Jackson, MS completed online surveys evaluating their preferences (best/worst) for HIV/STI testing locations, staffing, hours, method of results notification, and cost. They also selected preferred combinations of these variables through choice tasks. Results were analyzed using joint best/worst and discrete choice experiment models. RESULTS: Between June 2018 and December 2019, participants in Alabama (n = 54) and Mississippi (n = 159) completed online surveys. Both groups preferred stationary testing locations over mobile testing vans, with the most significant difference favoring STI testing-only clinics in Mississippi and local health departments in Alabama (P < 0.001). Technician-performed tests or self-testing were significantly less preferred compared with clinician-performed testing for both groups (P < 0.0001 and P < 0.0001, respectively). Free testing and phone results notification (versus text) were preferred by both groups. The most desirable combination among all participants was weekday clinician-performed testing at the health department for $5. CONCLUSIONS: Young Black men who have sex with men in the Southeastern United States prefer traditional testing locations staffed by experienced personnel. Combination choices are influenced by services that are low or no cost. More research is needed to inform the best way(s) to provide affordable, high-quality HIV/STI testing services for YBMSM, particularly in the post-COVID-19 era when sexual health care delivery models are evolving toward home-based and remote health-focused strategies.

Awareness of heated tobacco products among US Adults - Health information national trends survey, 2020.

Introduction: Heated Tobacco Products (HTP) have the potential to attain high uptake in the US. The current study estimated the prevalence of awareness, prevalence of use and the factors associated with awareness of HTP among US adults. Methods: This study included 3201 respondents from the Health Information National Trends Survey (HINTS) 5 Cycle 4 (2020). The prevalence of awareness of HTP and ever use of HTP among US adults were estimated. Multivariable logistic regression was conducted to identify the factors associated with awareness of HTP. Results: About 15% of the adult US population were aware of HTP, while 2.2% had ever used HTP. Age between 35 and 49 years (aOR, 1.9; 95% CI, 1.3-2.9; p-value = 0.003), male sex (aOR, 1.7; 95% CI, 1.0-2.7; p-value = 0.04), lower income ($0-$9,999) (aOR, 3.0; 95% CI, 1.3-6.9; p-value = 0.01), smoking on some days (aOR, 3.4; 95% CI, 1.2-9.4; p-value = 0.02) and moderately or extremely worrying about getting cancer (aOR, 1.7; 95% CI, 1.1-2.7; p-value = 0.03) were associated with higher odds of being aware of HTP; whereas, belief that there are so many cancer prevention recommendations, it's hard to know which ones to follow (aOR, 0.5; 95% CI, 0.3-0.8; p-value = 0.009) was associated with lower odds of being aware of HTP. Conclusions: A significant proportion of US adult population were aware of HTP in 2020. Given the recent high proliferation of e-cigarettes, potential health effects of the HTP products should be monitored by the regulators closely. Adequate surveillance and policy interventions are warranted in this regard.

Comparing data-driven and hypothesis-driven MRI-based predictors of cognitive impairment in individuals from the Atherosclerosis Risk in Communities (ARIC) study.

INTRODUCTION: A data-driven index of dementia risk based on magnetic resonance imaging (MRI), the Alzheimer's Disease Pattern Similarity (AD-PS) score, was estimated for participants in the Atherosclerosis Risk in Communities (ARIC) study. METHODS: AD-PS scores were generated for 839 cognitively non-impaired individuals with a mean follow-up of 4.86 years. The scores and a hypothesis-driven volumetric measure based on several brain regions susceptible to AD were compared as predictors of incident cognitive impairment in different settings. RESULTS: Logistic regression analyses suggest the data-driven AD-PS scores to be more predictive of incident cognitive impairment than its counterpart. Both biomarkers were more predictive of incident cognitive impairment in participants who were White, female, and apolipoprotein E gene (APOE) ε4 carriers. Random forest analyses including predictors from different domains ranked the AD-PS scores as the most relevant MRI predictor of cognitive impairment. CONCLUSIONS: Overall, the AD-PS scores were the stronger MRI-derived predictors of incident cognitive impairment in cognitively non-impaired individuals.

Pre-medication before dental procedures: A randomized controlled study comparing intranasal dexmedetomidine with oral midazolam.

BACKGROUND: This study aimed to determine if intranasal dexmedetomidine is a superior pre-medication to oral midazolam in older, difficult children. METHODS: This was conducted as a prospective, single-blind randomized control trial in a tertiary care center. Seventy-five children, age >5 years and weight >20 kg, who needed general anesthesia for dental procedures were randomly assigned to be pre-medicated with either oral midazolam at a dose of 0.5 mg/kg (max 15 mg) or intranasal dexmedetomidine at a dose of 2 mcg/kg (max 100 mcg). The primary outcome studied was the patients' level of sedation when separated from their parents, which was assessed using a 5-point University of Michigan Sedation Scale. Secondary outcome studied was the level of anxiolysis assessed by the acceptance of mask induction using a 4-point scale. All assessments were made by one research person blinded to the study drug. RESULTS: The two groups were similar in age, sex, weight, pre-anesthetic behavior, time from pre-medication to anesthesia induction, and surgical time. A significantly higher proportion of patients who received dexmedetomidine had satisfactory sedation at separation from parents (69.4% vs 40.5%, P = .03) compared to those who received midazolam. There were no significant differences in the rate of acceptance of mask induction (80.6% vs 78.4%, P = 1.00). Intranasal dexmedetomidine was tolerated well when administered using a mucosal atomizer and without any clinically significant effect on heart rate or systolic blood pressure. CONCLUSIONS: Intranasal dexmedetomidine provides higher success rate in sedation and parental separation compared to oral midazolam, in older, difficult children.

Identification of Key Bacteria Involved in the Induction of Incident Bacterial Vaginosis: A Prospective Study.

Background: The sequence of events preceding incident bacterial vaginosis (iBV) is unclear. Methods: African American women who have sex with women, who had no Amsel criteria and Nugent scores of 0-3, were followed for 90 days to detect iBV (defined as a Nugent score of 7-10 on at least 2-3 consecutive days), using self-collected vaginal swab specimens. For women with iBV (cases) and women maintaining normal vaginal flora (healthy women), 16S ribosomal RNA gene sequencing targeting V4 was performed. Longitudinal vaginal microbiome data were analyzed. Results: Of 204 women screened, 42 enrolled; of these, 45% developed iBV. Sequencing was performed on 448 specimens from 14 cases and 8 healthy women. Among healthy women, Lactobacillus crispatus dominated the vaginal microbiota in 75%. In contrast, prior to iBV, the vaginal microbiota in 79% of cases was dominated by Lactobacillus iners and/or Lactobacillus jensenii/Lactobacillus gasseri. The mean relative abundance of Prevotella bivia, Gardnerella vaginalis, Atopobium vaginae, and Megasphaera type I became significantly higher in cases 4 days before (P. bivia), 3 days before (G. vaginalis), and on the day of (A. vaginae and Megasphaera type I) iBV onset. The mean relative abundance of Sneathia sanguinegens, Finegoldia magna, BV-associated bacteria 1-3, and L. iners was not significantly different between groups before onset of iBV. Conclusion: G. vaginalis, P. bivia, A. vaginae, and Megasphaera type I may play significant roles in iBV.

An approach to estimate bidirectional mediation effects with application to body mass index and fasting glucose.

Obesity and type 2 diabetes are major public health issues with known interdependence. Genetic variants have been associated with obesity, type 2 diabetes, or both; thus, we hypothesize that some single nucleotide polymorphisms (SNPs) associated with both conditions may be mediated through obesity to affect type 2 diabetes or vice versa. We propose a framework for bidirectional mediation analyses. Simulations show that this approach accurately estimates the parameters, whether the mediation is unidirectional or bidirectional. In many scenarios, when the mediator is regressed on the initial variable and the outcome is regressed on the mediator and the initial variable, the resulting residuals are correlated because of other unmeasured covariates not in the model. We show that the proposed model provides accurate estimates in this scenario, too. We applied the proposed approach to investigate the mediating effects of SNPs associated with type 2 diabetes and obesity using genetic data from the Multi-Ethnic Study of Atherosclerosis cohort. Specifically, we used body mass index (BMI) as a measure for obesity and fasting glucose as a measure for type 2 diabetes. We evaluated the top 6 SNPs associated with both BMI and fasting glucose. Two SNPs (rs3752355 and rs6087982) had indirect effects on BMI mediated through fasting glucose [0.2677; 95% confidence interval (CI) (0.0007, 0.6548) and 0.3301; 95% CI (0.0881, 0.8544), respectively]. The remaining four SNPs (rs7969190, rs4869710, rs10201400, and rs12421620) directly affect BMI and fasting glucose without mediating effects.

Using the weighted area under the net benefit curve for decision curve analysis.

BACKGROUND: Risk prediction models have been proposed for various diseases and are being improved as new predictors are identified. A major challenge is to determine whether the newly discovered predictors improve risk prediction. Decision curve analysis has been proposed as an alternative to the area under the curve and net reclassification index to evaluate the performance of prediction models in clinical scenarios. The decision curve computed using the net benefit can evaluate the predictive performance of risk models at a given or range of threshold probabilities. However, when the decision curves for 2 competing models cross in the range of interest, it is difficult to identify the best model as there is no readily available summary measure for evaluating the predictive performance. The key deterrent for using simple measures such as the area under the net benefit curve is the assumption that the threshold probabilities are uniformly distributed among patients. METHODS: We propose a novel measure for performing decision curve analysis. The approach estimates the distribution of threshold probabilities without the need of additional data. Using the estimated distribution of threshold probabilities, the weighted area under the net benefit curve serves as the summary measure to compare risk prediction models in a range of interest. RESULTS: We compared 3 different approaches, the standard method, the area under the net benefit curve, and the weighted area under the net benefit curve. Type 1 error and power comparisons demonstrate that the weighted area under the net benefit curve has higher power compared to the other methods. Several simulation studies are presented to demonstrate the improvement in model comparison using the weighted area under the net benefit curve compared to the standard method. CONCLUSIONS: The proposed measure improves decision curve analysis by using the weighted area under the curve and thereby improves the power of the decision curve analysis to compare risk prediction models in a clinical scenario.

Calculation of exact p-values when SNPs are tested using multiple genetic models.

BACKGROUND: Several methods have been proposed to account for multiple comparisons in genetic association studies. However, investigators typically test each of the SNPs using multiple genetic models. Association testing using the Cochran-Armitage test for trend assuming an additive, dominant, or recessive genetic model, is commonly performed. Thus, each SNP is tested three times. Some investigators report the smallest p-value obtained from the three tests corresponding to the three genetic models, but such an approach inherently leads to inflated type 1 errors. Because of the small number of tests (three) and high correlation (functional dependence) among these tests, the procedures available for accounting for multiple tests are either too conservative or fail to meet the underlying assumptions (e.g., asymptotic multivariate normality or independence among the tests). RESULTS: We propose a method to calculate the exact p-value for each SNP using different genetic models. We performed simulations, which demonstrated the control of type 1 error and power gains using the proposed approach. We applied the proposed method to compute p-value for a polymorphism eNOS -786T>C which was shown to be associated with breast cancer risk. CONCLUSIONS: Our findings indicate that the proposed method should be used to maximize power and control type 1 errors when analyzing genetic data using additive, dominant, and recessive models.

Approaches to estimate bidirectional causal effects using Mendelian randomization with application to body mass index and fasting glucose.

Mendelian randomization (MR) is an epidemiological framework using genetic variants as instrumental variables (IVs) to examine the causal effect of exposures on outcomes. Statistical methods based on unidirectional MR (UMR) are widely used to estimate the causal effects of exposures on outcomes in observational studies. To estimate the bidirectional causal effects between two phenotypes, investigators have naively applied UMR methods separately in each direction. However, bidirectional causal effects between two phenotypes create a feedback loop that biases the estimation when UMR methods are naively applied. To overcome this limitation, we proposed two novel approaches to estimate bidirectional causal effects using MR: BiRatio and BiLIML, which are extensions of the standard ratio, and limited information maximum likelihood (LIML) methods, respectively. We compared the performance of the two proposed methods with the naive application of UMR methods through extensive simulations of several scenarios involving varying numbers of strong and weak IVs. Our simulation results showed that when multiple strong IVs are used, the proposed methods provided accurate bidirectional causal effect estimation in terms of median absolute bias and relative median absolute bias. Furthermore, compared to the BiRatio method, the BiLIML method provided a more accurate estimation of causal effects when weak IVs were used. Therefore, based on our simulations, we concluded that the BiLIML should be used for bidirectional causal effect estimation. We applied the proposed methods to investigate the potential bidirectional relationship between obesity and diabetes using the data from the Multi-Ethnic Study of Atherosclerosis cohort. We used body mass index (BMI) and fasting glucose (FG) as measures of obesity and type 2 diabetes, respectively. Our results from the BiLIML method revealed the bidirectional causal relationship between BMI and FG in across all racial populations. Specifically, in the White/Caucasian population, a 1 kg/m2 increase in BMI increased FG by 0.70 mg/dL (95% confidence interval [CI]: 0.3517-1.0489; p = 8.43×10-5), and 1 mg/dL increase in FG increased BMI by 0.10 kg/m2 (95% CI: 0.0441-0.1640; p = 6.79×10-4). Our study provides novel findings and quantifies the effect sizes of the bidirectional causal relationship between BMI and FG. However, further studies are needed to understand the biological and functional mechanisms underlying the bidirectional pathway.

Awareness and interest in cannabis use for cancer management among cancer survivors.

BACKGROUND: We examined the awareness, interest, and information sources relating to cannabis use for cancer management (including management of cancer symptoms and treatment-related side effects) and determined factors associated with cancer survivors' awareness and interest in learning about cannabis use for cancer management. METHODS: This was a cross-sectional study of adult cancer survivors (N = 1886) receiving treatment at a comprehensive cancer center. Weighted prevalence and multivariable logistic regression analyses were conducted. RESULTS: Among cancer survivors, 88% were aware and 60% were interested in learning about cannabis use for cancer management. Common sources of information to learn about cannabis use for cancer management were cancer doctors/nurses (82%), other patients with cancer (27%), websites/blogs (26%), marijuana stores (20%), and family/friends (18%). The odds of being aware of cannabis use for cancer management was lower among male compared to female survivors (adjusted odds ratio [AOR]: 0.61; 95% confidence interval [CI]: 0.41-0.90), non-Hispanic Blacks compared to non-Hispanic Whites (AOR: 0.36; 95% CI: 0.21-0.62), and survivors who do not support the legalization of cannabis for medical use compared to those who do (AOR: 0.10; 95% CI: 0.04-0.23). On the other hand, the odds of being interested in cannabis use for cancer management was higher among non-Hispanic Blacks compared to non-Hispanic Whites (AOR: 1.65; 95% CI: 1.04-2.62), and among cancer survivors actively undergoing cancer treatment compared to patients on non-active treatment (AOR: 2.25; 95% CI: 1.74-2.91). CONCLUSION: Awareness of cannabis use for cancer management is high within the cancer survivor population. Results indicated health care providers are leading information source and should receive continued medical education on cannabis-specific guidelines. Similarly, tailored educational interventions are needed to guide survivors on the benefits and risks of cannabis use for cancer management.

Individual, systemic and state factors associated with provider recommendation of HPV vaccination: Findings from NIS-Teen, 2020.

The most important determinant of HPV vaccination uptake is healthcare provider recommendation, yet not all eligible patients receive HPV vaccination recommendations. We used data from the 2020 National Immunization Survey-Teen to determine individual, systemic, and state factors associated with provider recommendation of HPV vaccination. A total of 18,534 teens were included, with 81.4% receiving provider recommendations for HPV vaccination. HPV vaccination recommendation was higher among females compared to males (AOR: 1.57; 95% CI: 1.27-1.93), teens who received a well-child exam at 11 or 12 years compared to those who did not (AOR: 2.10; 95% CI: 1.61-2.74), and teens whose mothers had college, some college or at least a high school education compared to those with less than high school education. In addition to individual factors, provider recommendation of HPV vaccination was higher in hospitals (AOR: 1.51; 95% CI: 1.00-2.29) and STD/school/teen clinics (AOR: 2.47; 95% CI: 1.05-5.78) compared to public facilities. However, the odds of provider recommendation were lower when none of the teen's providers ordered vaccines from the state compared to when all teen providers ordered vaccines from the state (AOR: 0.69; 95% CI: 0.52-0.93). Moreover, the state's mean prevalence of provider recommendations of HPV vaccination was 7.2% lower (Coefficient: -0.072; 95% CI: -0.107 - -0.036) in states with high religious ideology compared to those with low religious ideology. Interventions to increase provider recommendation of HPV vaccination should take a multiprong and comprehensive approach that addresses religious and systemic barriers to HPV vaccination recommendation.

Barriers to human papillomavirus vaccine uptake: role of state religiosity and healthcare professionals' participation in a state vaccine program.

BACKGROUND: Despite the known benefits of preventing human papillomavirus (HPV)-related cancers, HPV vaccine coverage is low in the United States. Grounded in Social Ecological theory, we assessed the macro-level (state) and meso-level (organization) factors associated with HPV vaccine initiation and up-to-date. METHODS: Data from 2020 National Immunization Survey-Teen were used to study a sample of 20 163 US adolescents (aged 13-17 years). The data were collected from each teen's parents or guardians and health-care professionals. Weighted prevalence estimates were calculated, and multivariable regression analyses were conducted. RESULTS: The prevalence of HPV vaccine initiation was 75.1% and of remaining up-to-date was 58.6%. At the macro level, teens living in states with high and moderate religiosity had lower odds of HPV vaccine initiation (high religiosity adjusted odds ratio [AOR] = 0.63, 95% confidence interval [CI] = 0.50 to 0.78; moderate religiosity AOR = 0.68, 95% CI = 0.55 to 0.85) and up-to-date (high religiosity AOR = 0.69, 95% CI = 0.56 to 0.85; moderate religiosity AOR = 0.74, 95% CI = 0.61 to 0.91) than states with low religiosity. At the meso level, when none of their healthcare professionals ordered vaccine from the state, teens had lower odds of initiation (AOR = 0.68, 95% CI = 0.53 to 0.87) and up-to-date (AOR = 0.76, 95% CI = 0.60 to 0.95) than teens whose healthcare professionals ordered vaccine from the state. In addition, race and ethnicity, age, mother's education level, household income, well-child examination status, and doctor's recommendation were significantly associated with HPV vaccine uptake. CONCLUSION: A multiprong approach is needed to address religious and systemic barriers to HPV vaccination and expand healthcare professionals' access and enrollment in state vaccine initiatives, such as the Vaccine for Children program.

Impact of U.S. Preventive Services Task Force lung cancer screening update on drivers of disparities in screening eligibility.

BACKGROUND: In 2021, the U.S. Preventive Services Task Force (USPSTF) updated its recommendation to expand lung cancer screening (LCS) eligibility and mitigate disparities. Although this increased the number of non-White individuals who are eligible for LCS, the update's impact on drivers of disparities is less clear. This analysis focuses on racial disparities among Black individuals because members of this group disproportionately share late-stage lung cancer diagnoses, despite typically having a lower intensity smoking history compared to non-Hispanic White individuals. METHODS: We used data from the National Health Interview Survey to examine the impact of the 2021 eligibility criteria on racial disparities by factors such as education, poverty, employment history, and insurance status. We also examined preventive care use and reasons for delaying medical care. RESULTS: When comparing Black individuals and non-Hispanic White individuals, our analyses show significant differences in who would be eligible for LCS: Those who do not have a high school diploma (28.7% vs. 17.0%, p = 0.002), are in poverty (26.2% vs. 14.9%, p < 0.001), and have not worked in the past 12 months (66.5% vs. 53.9%, p = 0.009). Further, our analyses also show that more Black individuals delayed medical care due to not having transportation (11.1% vs. 3.6%, p < 0.001) compared to non-Hispanic White individuals. CONCLUSIONS: Our results suggest that despite increasing the number of Black individuals who are eligible for LCS, the 2021 USPSTF recommendation highlights ongoing socioeconomic disparities that need to be addressed to ensure equitable access.

Prevalence, reasons for use, perceived benefits, and awareness of health risks of cannabis use among cancer survivors - implications for policy and interventions.

BACKGROUND: There is increasing discourse on the use of cannabis as a palliative for cancer/cancer-treatment-related symptoms. We described the prevalent reasons for use, perceived benefits, and awareness of health risks from cannabis use for cancer management among cancer survivors. METHODS: Cross-sectional survey of adult (≥ 18 years) cancer survivors from 41 US states receiving treatment at a comprehensive cancer center. RESULTS: Of 1,886 cancer survivors included, 17.4% were current users, 30.5% were former users, and 52.2% were never users of cannabis. Among survivors who currently or formerly used cannabis after their cancer diagnosis (n = 510), the reasons for cannabis use in cancer management were; sleep disturbance (60%), pain (51%), stress (44%), nausea (34%), and mood disorder/depression (32%). Also, about a fifth (91/510) of survivors used cannabis to treat their cancer. Across the different symptoms assessed, over half of the survivors who reported a reason for using cannabis currently or after their cancer diagnosis perceived that cannabis was helpful to a great extent in improving their symptoms. However, of the 167 survivors who reported awareness of potential health risks from cannabis use, the awareness of adverse health risks associated with cannabis use was low: suicidal thoughts (5%), intense nausea and vomiting (6%), depression (11%), anxiety (14%), breathing problems (31%), and interaction with cancer drugs (35%). CONCLUSION: Prevalence of cannabis use among survivors was notable, with most reporting a great degree of symptomatic improvement for the specified reason for use. However, only a few were aware of the health risks of cannabis use during cancer management. IMPLICATIONS FOR CANCER SURVIVORS: With more cancer survivors using cannabis as a palliative in managing their cancer-related symptoms, future guidelines and policies on cannabis use in cancer management should incorporate cannabis-based interventions to minimize the inadvertent harm from cannabis use during cancer treatment among survivors.

Cannabis Use among Cancer Survivors: Use Pattern, Product Type, and Timing of Use.

Despite growing interest in the use of cannabis for the treatment of cancer-related symptoms, there are limited studies that have assessed the use pattern, type, and mode of delivery of cannabis products used by cancer survivors. This study describes the current state of the use pattern, product type, and mode of delivery of cannabis used by cancer survivors. This was a cross-sectional study of cancer survivors from 41 U.S. states who received treatment at the largest NCI-designated comprehensive cancer center. The weighted prevalence of the use patterns, product types, and modes of delivery of cannabis used by cancer survivors was estimated. A total of 1886 cancer survivors were included in the study, with 915 (48% [95% CI: 45-51]) reporting ever using cannabis. Of survivors who had ever used cannabis, 36% (95% CI: 33-40) were current users. Among survivors who reported cannabis use after diagnosis, 40% used cannabis during and after cancer treatment, 35% used cannabis during treatment, and 25% used cannabis after completing their cancer treatment. Additionally, 48% of survivors reported an increase in cannabis use since cancer diagnosis. The commonest types of cannabis products used by cancer survivors were dry leaf cannabis (71%), cannabidiol (CBD) oil (46%), and cannabis candy (40%). Moreover, cancer survivors frequently used baked goods (32%), creams and gels (21%), and tinctures (18%). Furthermore, among ever users, the predominant mode of use was cannabis inhalation/smoking (69%) compared to eating/drinking (59%). More so, the common mode of inhalation/smoking of cannabis products were rolled cannabis cigarettes (79%), pipes (36%), water pipes (34%), vaporizers or vapes (14%), and e-cigarette devices (14%). A substantial number of cancer survivors use cannabis during cancer treatment, with increased use following cancer diagnosis. The forms and modes of delivery of cannabis varied among survivors, with most survivors inhaling or smoking cannabis. There is a need to educate healthcare providers (HCPs) and survivors on current evidence of cannabis use and strengthen cannabis regulatory frameworks to optimize benefits and minimize adverse events from cannabis use during cancer treatment.

Post-kidney transplant cancers: Racial and ethnic differences in sun-exposed skin versus non-sun-exposed anogenital skin.

BACKGROUND: Transplant recipients have a 2- to 4-fold increased risk of developing malignancies over the general population. Cancer is the second most common cause of death for recipients. The magnitude of the risk depends on the cancer type and increases in viral-related malignancies. Skin cancer is the most common. However, data in most cancer registries is limited to cutaneous melanomas, thereby limiting the epidemiologic examination of cancer risk in non-melanoma skin cancer. Our goal was to evaluate post-kidney transplant cancer cases and sites in our population to guide screening recommendations. METHODS: Between 2009 and 2015, a retrospective study of adult kidney recipients transplanted at East Carolina University was conducted. The first cancer diagnosis after transplant through February 18, 2020, was captured and analyzed. Patient demographics, cancer sites, and histological diagnoses were analyzed and compared. p16 immunohistochemistry was used as a surrogate marker for high-risk human papillomavirus (HPV) infection. RESULTS: Retrospectively, kidney transplant recipients were analyzed (N = 439), the majority were non-Hispanic Black (NHB) individuals, 312 (71.1%), and 127 (28.9%) were non-Hispanic White (NHW) individuals. Of these, 59 (13.4%) developed a posttransplant malignancy, with the majority on sun-exposed skin found in NHW. NHB had all anogenital/mucosa skin cancers on non-sun-exposed skin. Of these detected in NHB, all were squamous cell carcinomas, with five out of six (83.3%) being positive for p16. CONCLUSIONS: Posttransplant malignancy differed significantly by race, site, and potential source of etiology. The majority of malignancies are likely explained by acceleration of precursor lesions from prior exposure to ultraviolet rays or HPV.

Proteomic Analysis Identifies Circulating Proteins Associated With Plasma Amyloid-ß and Incident Dementia.

Background: Plasma amyloid-ß (Aß) (Aß42, Aß40, and Aß42/Aß40), biomarkers of the Alzheimer's form of dementia, are under consideration for clinical use. The associations of these peptides with circulating proteins may identify novel plasma biomarkers of dementia and inform peripheral factors influencing the levels of these peptides. Methods: We analyzed the association of these 3 plasma Aß measures with 4638 circulating proteins among a subset of the participants of the Atherosclerosis Risk in Communities (ARIC) study (midlife: n = 1955; late life: n = 2082), related the Aß-associated proteins with incident dementia in the overall ARIC cohort (midlife: n = 11,069, late life: n = 4110) with external replication in the Age, Gene/Environment Susceptibility (AGES)-Reykjavik Study (n = 4973), estimated the proportion of Aß variance explained, and conducted enrichment analyses to characterize the proteins associated with the plasma Aß peptides. Results: At midlife, of the 296 Aß-associated proteins, 8 were associated with incident dementia from midlife and late life in the ARIC study, and NPPB, IBSP, and THBS2 were replicated in the AGES-Reykjavik Study. At late life, of the 34 Aß-associated proteins, none were associated with incident dementia at midlife, and kidney function explained 10%, 12%, and 0.2% of the variance of Aß42, Aß40, and Aß42/Aß40, respectively. Aß42-associated proteins at midlife were found to be enriched in the liver, and those at late life were found to be enriched in the spleen. Conclusions: This study identifies circulating proteins associated with plasma Aß levels and incident dementia and informs peripheral factors associated with plasma Aß levels.