Faculty Bibliography

Background/UNASSIGNED:The impact of tobacco use on perioperative complications, hospital costs, and survivorship in total joint arthroplasty (TJA) is well established. The aim of this study is to report the impact of tobacco cessation on outcomes after TJA and to measure the impact of a voluntary smoking cessation program (SCP) on self-reported smoking quit rates in a premier academic medical center. Methods/UNASSIGNED:A seven-year (2013-2019) SCP database was provided by the Integrative Health Promotion Department and Infection Prevention and Control Department. We evaluated program and smoking status, patient demographics, length of stay (LOS), and 90-day post-operative infection rates and readmission rates. The primary outcome was quit rates based on SCP enrollment status. The secondary outcomes measured infection rates, readmission rates, and LOS based on enrollment status and/or quit rate. Results/UNASSIGNED:A total of 201 eligible patients were identified: 137 patients in the SCP (intervention) group and 64 in the self-treatment (control) group. SCP patients trended towards higher quit rates (43% vs 33%, p = 0.17), shorter LOS (2.47 vs 2.62 days, p = 0.52), lower infection rates (7.3% vs 12.5%, p = 0.27) and slightly higher readmission rates (5.8% vs 4.7%, p = 0.73). In a sub-analysis, self-reported smokers demonstrated statistically significant decrease in infection (3.7% vs 12.5%, p = 0.03). Conclusion/UNASSIGNED:There was a statistically significant decrease in infection rates in patients who self-reported quitting tobacco prior to TJA. Additionally, quit rates for patients who participated in a voluntary SCP trended towards increased pre-operative cessation. Further efforts to increase tobacco cessation prior to TJA and examine the impact on patient outcomes are needed.

BACKGROUND:Most hookah use studies have not included racial and ethnic minorities which limits our understanding of its use among these growing populations. This study aimed to investigate the individual characteristics of hookah use patterns and associated risk behaviors among an ethnically diverse sample of college students. METHODS:A cross-sectional survey of 2460 students (aged 18-25) was conducted in 2015, and data was analyzed in 2017. Descriptive statistics were used to present the sociodemographic characteristics, hookah use-related behavior, and binge drinking and marijuana use according to the current hookah use group, including never, exclusive, dual/poly hookah use. Multivariate logistic regression was conducted to examine how hookah related behavior and other risk behaviors varied by sociodemographics and hookah use patterns. RESULTS:Among current hookah users (n = 312), 70% were exclusive hookah users and 30% were dual/poly hookah users. There were no statistically significant differences in sociodemographic characteristics except for race/ethnicity (p < 0.05). Almost half (44%) of the exclusive hookah users reported having at least five friends who also used hookah, compared to 30% in the dual/poly use group. Exclusive users were less likely to report past year binge drinking (17%) and past year marijuana use (25%) compared to those in the dual/poly use group (44 and 48% respectively); p < 0.001. CONCLUSIONS:The socialization aspects of hookah smoking seem to be associated with its use patterns. Our study calls for multicomponent interventions designed to target poly tobacco use as well as other substance use that appears to be relatively common among hookah users.

BACKGROUND:It is important to monitor the scope of clinical research of all types, to involve participants of all ages and subgroups in studies that are appropriate to their condition, and to ensure equal access and broad validity of the findings. OBJECTIVE:We conducted a review of clinical research performed at New York University with the following objectives: (1) to determine the utility of institutional administrative data to characterize clinical research activity; (2) to assess the inclusion of special populations; and (3) to determine if the type, initiation, and completion of the study differed by age. METHODS:Data for all studies that were institutional review board-approved between January 1, 2014, and November 2, 2016, were obtained from the research navigator system, which was launched in November 2013. One module provided details about the study protocol, and another module provided the characteristics of individual participants. Research studies were classified as observational or interventional. Descriptive statistics were used to assess the characteristics of clinical studies across the lifespan, by type, and over time. RESULTS:A total of 22%-24% of studies included children (minimum age <18 years) and 4%-5% focused exclusively on pediatrics. Similarly, 64%-72% of studies included older patients (maximum age >65 years) but only 5%-12% focused exclusively on geriatrics. Approximately 85% of the studies included both male and female participants. Of the remaining studies, those open only to girls or women were approximately 3 times as common as those confined to boys or men. A total of 56%-58% of projects focused on nonvulnerable patients. Among the special populations studied, children (12%-15%) were the most common. Noninterventional trial types included research on human data sets (24%), observational research (22%), survey research (16%), and biospecimen research (8%). The percentage of projects designed to test an intervention in a vulnerable population increased from 17% in 2014 to 21% in 2015. CONCLUSIONS:Pediatric participants were the special population that was most often studied based on the number of registered projects that included children and adolescents. However, they were much less likely to be successfully enrolled in research studies compared with adults older than 65 years. Only 20% of the studies were interventional, and 20%-35% of participants in this category were from vulnerable populations. More studies are exclusively devoted to women's health issues compared with men's health issues.

OBJECTIVE:To understand how to potentially improve inappropriate prostate cancer imaging rates we used National Comprehensive Cancer Network's (NCCN) guidelines to design and implement a Clinical Reminder Order Check (CROC) that alerts ordering providers of potentially inappropriate imaging orders in real-time based on patient features of men diagnosed with low-risk prostate cancer. METHODS:We implemented the CROC at VA New York Harbor Healthcare System (VANYHHS) from April 2, 2015 to November 15, 2017. We then used VA administrative claims from the VA's Corporate Data Warehouse to analyze imaging rates among men with low-risk prostate cancer at VHANYHHS before and after CROC implementation. We also collected and cataloged provider responses in response to overriding the CROC in qualitative analysis. RESULTS:57% (117/205) of Veterans before CROC installation and 73% (61/83) of Veterans post-intervention with low-risk prostate cancer received guideline-concordant care. CONCLUSION/CONCLUSIONS:While the decrease in inappropriate imaging during our study window was almost certainly due to many factors, a CPRS-based CROC intervention is likely associated with at least moderate improvement in guideline-concordant imaging practices for Veterans with low-risk prostate cancer.

INTRODUCTION/BACKGROUND:Race, ethnicity, and socioeconomic status are known to influence staging and survival in colorectal cancer (CRC). It is unclear how these relationships are affected by geographic factors and changes in insurance coverage for CRC screening. We examined the temporal trends in the association between sociodemographic and geographic factors and staging and survival among Medicare beneficiaries. METHODS:We identified patients 65 years or older with CRC using the 1991-2010 Surveillance, Epidemiology, and End Results-Medicare database and extracted area-level sociogeographic data. We constructed multinomial logistic regression models and the Cox proportional hazards models to assess factors associated with CRC stage and survival in 4 periods with evolving reimbursement and screening practices: (i) 1991-1997, (ii) 1998-June 2001, (iii) July 2001-2005, and (iv) 2006-2010. RESULTS:We observed 327,504 cases and 102,421 CRC deaths. Blacks were 24%-39% more likely to present with distant disease than whites. High-income areas had 7%-12% reduction in distant disease. Compared with whites, blacks had 16%-21% increased mortality, Asians had 32% lower mortality from 1991 to 1997 but only 13% lower mortality from 2006 to 2010, and Hispanics had 20% reduced mortality only from 1991 to 1997. High-education areas had 9%-12% lower mortality, and high-income areas had 5%-6% lower mortality after Medicare began coverage for screening colonoscopy. No consistent temporal trends were observed for the associations between geographic factors and CRC survival. DISCUSSION/CONCLUSIONS:Disparities in CRC staging and survival persisted over time for blacks and residents from areas of low socioeconomic status. Over time, staging and survival benefits have decreased for Asians and disappeared for Hispanics.

Background: Electronic dance music (EDM) party attendees are at high risk for use of various illegal drugs; however, little is known about their tobacco use. Understanding tobacco use patterns in this population at high risk for illegal drug use can inform multi-product interventions. Objectives: 954 EDM party attendees (ages 18-40) were surveyed in New York City in 2017. We estimated prevalence of use of cigarettes, hookah, cigars, other tobacco, and e-cigarettes and delineated correlates of current (past-month) use using bivariable and multivariable models. Results: Past-month use of cigarettes (36.2%), e-cigarettes (15.6%), cigars (12.5%), and hookah (11.7%) in particular was prevalent. In multivariable models, females were less likely to use e-cigarettes than males (adjusted prevalence ratio [aPR] = 0.63, p = .030), and those who attended graduate school were less likely to use cigarettes (aPR = 0.55, p = .003) and/or e-cigarettes (aPR = 0.33, p = .026). Past-year ecstasy/MDMA/Molly use was a risk factor for past-month use of cigarettes (aPR = 1.38, p = .013) and/or cigars (aPR = 1.61, p = .032), and past-year cocaine use was a risk factor for past-month use of cigarettes (aPR = 1.80, p < .001), cigars (aPR = 1.80, p = .013), other tobacco products (aPR = 3.05, p = .003), and/or e-cigarettes (aPR = 2.39, p = .003). 55.4% of ecstasy users and 60.3% of cocaine users were current cigarette smokers, but use of other products among users of these drugs was less prevalent (9.8-27.9%). Conclusions: Results suggest that current tobacco use is prevalent in this population who is also at high risk for use of drugs such as ecstasy and cocaine. Prevention and cessation efforts need to target tobacco users in this scene while incorporating components addressing illegal drug use.

INTRODUCTION:Though many interventions have been shown to be effective in helping smokers quit, outcomes may differ between light and heavy smokers. We identified differences in baseline characteristics and post-intervention cessation rates among smoker groups at two safety-net hospitals. METHODS:We retrospectively analyzed cessation rates in 1604 patients randomized to either a quitline referral (1-2 telephone counseling sessions) or intensive counseling program (seven telephone sessions). Participants were stratified into light-intermittent (smoked on ≤24 of last 30 days), light-daily (smoked on >24/30 days, 1-9 cigarettes per day [CPD]), or heavy smokers (smoked on >24/30 days, ≥10 CPD). We compared baseline characteristics between smoker types using chi-squared tests, then identified predictors of 30-day abstinence using a multivariable model. RESULTS:Compared with light-daily and light-intermittent smokers, heavy smokers were more likely to be white, male, concomitant e-cigarette users, to have high-risk alcohol use, to have used quitting aids previously, to have current or lifetime substance use (excluding cannabis), and have lower confidence in quitting. However, in multivariable analysis, smoker type was not significantly associated with cessation. The statistically significant predictors of cessation at 6 months were higher confidence in quitting and enrollment in the intensive counseling intervention. CONCLUSIONS:Smoker type (light-intermittent, light-daily, or heavy) does not independently predict success in a cessation program. However, smoker type is strongly associated with patients' confidence in quitting, which may be one predictor of cessation. IMPLICATIONS:This study of two safety-net hospitals emphasizes that the number of cigarettes smoked per day does not independently predict smoking cessation. Additionally, heavy smokers are at highest risk for the detrimental health effects of tobacco, yet have lower confidence and motivation to quit. Confidence in quitting may be one factor that affects cessation rates; however, further study is needed to identify which other attributes predict cessation. These findings suggest that smoker type may still be a useful proxy for predicting cessation and that interventions specifically designed for and validated in heavy smokers are needed to better aid these individuals.

In 2017, the NYU Clinical and Translational Science Institute's Recruitment and Retention Unit created a Patient Advisory Council for Research (PACR) to provide feedback on clinical trials and health research studies. We collaborated with our clinical research informatics team to generate a random sample of patients, based on the International Classification of Diseases, Tenth Revision codes and demographic factors, for invitation via the patient portal. This approach yielded in a group that was diverse with regard to age, race/ethnicity, sex, and health conditions. This report highlights the benefits and limitations of using an electronic health record-based strategy to identify and recruit members for a PACR.

PURPOSE/UNASSIGNED:To identify rates and sociodemographic correlates of food insecurity among low-income smokers. DESIGN/UNASSIGNED:Cross-sectional analysis of baseline survey data from a randomized controlled trial (N = 403) testing a smoking cessation intervention for low-income smokers. SETTING/UNASSIGNED:Two safety-net hospitals in New York City. SAMPLE/UNASSIGNED:Current smokers with annual household income <200% of the federal poverty level. MEASURES/UNASSIGNED:Food insecurity was measured using the United States Department of Agriculture 6-item food security module. Participant sociodemographics were assessed by self-reported survey responses. ANALYSIS/UNASSIGNED:We used frequencies to calculate the proportion of smokers experiencing food insecurity and multivariable logistic regression to identify factors associated with being food insecure. RESULTS/UNASSIGNED:Fifty-eight percent of participants were food insecure, with 29% reporting very high food insecurity. Compared to married participants, separated, widowed, or divorced participants were more likely to be food insecure (adjusted odds ratio [AOR] = 2.33, 95% confidence interval [CI]: 1.25-4.33), as were never married participants (AOR = 2.81, 95% CI: 1.54-5.14). CONCLUSIONS/UNASSIGNED:food access) may be needed for low-income populations. Interventions which seek to alleviate food insecurity may benefit from targeting socially isolated smokers.

Background/UNASSIGNED:Cigarette smoking is the most common form of tobacco consumption but other methods have grown in popularity. In the United Arab Emirates and other Gulf countries, smoking dokha, a form of tobacco mixed with herbs and spices in a midwakh pipe, is common. Aims/UNASSIGNED:The aim of this study was to determine the prevalence of midwakh use in school students in Lebanon and factors associated with its use. Methods/UNASSIGNED:Data on tobacco use from the Lebanon Global School-based Student Health Survey (GSHS), 2017 were analysed, including current midwakh use (defined as midwakh use at least once in the 30 days before the survey). The survey includes school students in grades 7-12 (12-18 years). Current midwakh use was analysed according to sociodemographic and tobacco-related variables using bivariate and logistic regression analyses. Results/UNASSIGNED:Of the 5590 students included in the analysis, 4.6% were current midwakh users. Current midwakh use was significantly more prevalent in students 13 years and older and in male students (P < 0.01). Current use was also statistically significantly more prevalent in students in public than private schools. Current cigarette smoking (OR = 15.22; 95% CI: 11.08-20.90), ever use of a waterpipe (OR = 9.61; 95% CI: 6.66-13.86) and parental smoking (OR = 1.56; 95% CI: 1.05-2.31) were also significantly associated with current midwakh use. Conclusion/UNASSIGNED:Although midwakh use is low in Lebanon, the patterns of association of midwakh use are similar to those of cigarette and waterpipe smoking in young people. Further research is needed to understand the context of midwakh use and prevent it from spreading.