Faculty Bibliography

BACKGROUND:The authors sought to study the risk factors associated with severe outcomes in hospitalized coronavirus disease 2019 (COVID-19) patients with cancer. METHODS:The authors queried the New York University Langone Medical Center's records for hospitalized patients who were polymerase chain reaction-positive for severe acute respiratory syndrome coronavirus 2 (SARS CoV-2) and performed chart reviews on patients with cancer diagnoses to identify patients with active cancer and patients with a history of cancer. Descriptive statistics were calculated and multivariable logistic regression was used to determine associations between clinical, demographic, and laboratory characteristics with outcomes, including death and admission to the intensive care unit. RESULTS:A total of 4184 hospitalized SARS CoV-2+ patients, including 233 with active cancer, were identified. Patients with active cancer were more likely to die than those with a history of cancer and those without any cancer history (34.3% vs 27.6% vs 20%, respectively; P < .01). In multivariable regression among all patients, active cancer (odds ratio [OR], 1.89; CI, 1.34-2.67; P < .01), older age (OR, 1.06; CI, 1.05-1.06; P < .01), male sex (OR for female vs male, 0.70; CI, 0.58-0.84; P < .01), diabetes (OR, 1.26; CI, 1.04-1.53; P = .02), morbidly obese body mass index (OR, 1.87; CI, 1.24-2.81; P < .01), and elevated D-dimer (OR, 6.41 for value >2300; CI, 4.75-8.66; P < .01) were associated with increased mortality. Recent cancer-directed medical therapy was not associated with death in multivariable analysis. Among patients with active cancer, those with a hematologic malignancy had the highest mortality rate in comparison with other cancer types (47.83% vs 28.66%; P < .01). CONCLUSIONS:The authors found that patients with an active cancer diagnosis were more likely to die from COVID-19. Those with hematologic malignancies were at the highest risk of death. Patients receiving cancer-directed therapy within 3 months before hospitalization had no overall increased risk of death. LAY SUMMARY/UNASSIGNED:Our investigators found that hospitalized patients with active cancer were more likely to die from coronavirus disease 2019 (COVID-19) than those with a history of cancer and those without any cancer history. Patients with hematologic cancers were the most likely among patients with cancer to die from COVID-19. Patients who received cancer therapy within 3 months before hospitalization did not have an increased risk of death.

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.

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.

OBJECTIVE:To prospectively examine associations between smoking and nicotine abstinence and pain trajectory over 12 months among smokers with low, moderate, and severe pain and to assess whether these associations differ over time. DESIGN/METHODS:A secondary analysis of the "Proactive Outreach for Smokers in VA Mental Health" study, a randomized controlled trial of proactive outreach for veteran smokers engaged in U.S. Department of Veterans Affairs (VA) mental health care. METHODS:Participants were categorized into "low" (n = 616), "moderate" (n = 479), and "severe" pain (n = 656) groups according to baseline pain score. Associations between self-reported abstinence from smoking and nicotine at 6 and 12 months and pain trajectory, measured via the PEG scale (Pain intensity, Enjoyment of life, General activity) composite score, were assessed through the use of general linear mixed models. Interaction tests assessed whether these associations differed at 6 and 12 months. Analyses were conducted within the overall sample and within the separate pain groups. RESULTS:There were significant interactions in the overall sample and the low and moderate pain groups, such that 7-day point prevalence smoking abstinence was associated with lower pain scores at 6 but not 12 months. In the severe pain group, 7-day abstinence from both smoking and nicotine was associated with lower pain scores across both time points. Six-month prolonged abstinence was not associated with pain scores. CONCLUSIONS:In this prospective analysis conducted among veteran smokers engaged in mental health services, 7-day abstinence from smoking and nicotine was associated with significantly lower levels of pain. Education efforts could help better inform smokers on the relationship between smoking and pain.

OBJECTIVE:To describe attitudes, perceptions, and beliefs related to smoking and smoking cessation among survivors of genitourinary cancers using a theory-based framework. METHODS:We performed a cross-sectional analysis of Wave III of the PATH study, a prospective cohort survey study assessing tobacco-use patterns and attitudes among a representative population-based sample of US adults. All adult current smokers with a history of urologic cancer were included. Primary outcomes were mapped to components of the Theory of Planned Behavior (TPB) and included: attempts to quit, readiness to quit, plan to quit, being told to quit, peers views toward smoking, regret about smoking, the perceived relationship between smoking and cancer/overall health. Secondary outcomes include: time to first cigarette, utilization of smoking cessation aids. Population weighted percentages with 95% confidence intervals were estimated. RESULTS:Our cohort represents a population estimate of 461,182 adult current smokers with a history of genitourinary cancer. The majority of respondents (90%) perceived smoking to be harmful to one's health and 83% were regretful about having started smoking. An equal proportion of respondents indicated that they were "very ready to quit," "somewhat ready to quit," or "not ready to quit." Among all respondents, 73% had been told by a physician to quit in the past year but only 7% indicated that they had used prescription medication and only 21% had used nicotine replacement therapy to help with smoking cessation. CONCLUSION/CONCLUSIONS:There is significant variation in attitudes, behaviors, and perceptions related to smoking and smoking cessation among survivors of genitourinary malignancy. Patient-level smoking cessation interventions may need to be highly personalized for optimal success.

Intercept surveys are a relatively inexpensive method to rapidly collect data on drug use. However, querying use of dozens of drugs can be time-consuming. We determined whether using a rapid screener is efficacious in detecting which participants use drugs and should be offered a full survey which asks more extensively about use.

BACKGROUND:National Comprehensive Cancer Network (NCCN) guidelines for incident prostate cancer staging imaging have been widely circulated and accepted as best practice since 1996. Despite these clear guidelines, wasteful and potentially harmful inappropriate imaging of men with prostate cancer remains prevalent. AIM/OBJECTIVE:To understand changing population-level patterns of imaging among men with incident prostate cancer, we created a state-transition microsimulation model based on existing literature and incident prostate cancer cases. METHODS:To create a cohort of patients, we identified incident prostate cancer cases from 2004 to 2009 that were diagnosed in men ages 65 and older from SEER. A microsimulation model allowed us to explore how this cohort's survival, quality of life, and Medicare costs would be impacted by making imaging consistent with guidelines. We conducted a probabilistic analysis as well as one-way sensitivity analysis. RESULTS:When only imaging high-risk men compared to the status quo, we found that the population rate of imaging dropped from 53 to 38% and average per-person spending on imaging dropped from $236 to $157. The discounted and undiscounted incremental cost-effectiveness ratios indicated that ideal upfront imaging reduced costs and slightly improved health outcomes compared with current practice patterns, that is, guideline-concordant imaging was less costly and slightly more effective. CONCLUSION/CONCLUSIONS:This study demonstrates the potential reduction in cost through the correction of inappropriate imaging practices. These findings highlight an opportunity within the healthcare system to reduce unnecessary costs and overtreatment through guideline adherence.

Background/UNASSIGNED:We explored characteristics and beliefs associated with e-cigarette use patterns among cigarette smokers requiring inpatient detoxification for opioid and/or alcohol use disorder(s). Methods/UNASSIGNED:-test statistics, and logistic regression models were used. Results/UNASSIGNED: Conclusions/UNASSIGNED:E-cigarette use seems to be appealing to a small proportion of cigarette smokers with SUD. Although, dual smokers seem to use e-cigarettes for its cessation premise, they don't appear to be actively seeking to quit. E-cigarettes may offer a more effective method for harm reduction, further evaluation of incorporating it within smoking cessation protocols among patients in addiction treatment is needed.

BACKGROUND:In 2012, the United States Preventative Services Task Force (USPSTF) formally recommended against all Prostate Specific Antigen (PSA) screening for prostate cancer. Our goal was to characterize PSA screening trends in the Veterans Health Administration (VA) before and after the USPSTF recommendation, and to determine if PSA screening was more likely to be ordered based on a Veteran's race or age. METHODS:Using the VA Corporate Data Warehouse, we created 10 annual groups of PSA-eligible men covering 2009-2018. We identified all PSA tests performed in the VA to determine yearly rates of PSA screening. All statistical tests were two-sided. RESULTS:The overall rate of PSA testing in the VA decreased from 63.3% in 2009 to 51.2% in 2018 (p<.001). PSA screening rates varied markedly by age group during our study period, with men aged 70-80 having the highest initial rate and greatest decline (70.6% in 2009 to 48.4% in 2018, p<.001). Men aged 55-69 saw a smaller decline (65.2% in 2009 to 58.9% in 2018, p<.001) while the youngest men, aged 40-54, had an increase in PSA screening (26.2% in 2009 to 37.8 in 2018, p<.001). CONCLUSIONS:In this analysis of PSA screening rates among veterans before and after the 2012 USPSTF recommendation against screening, we found that overall PSA screening decreased only modestly, continuing for more than half of the men in our study. Veterans of different races had similar screening rates, suggesting that VA care may minimize racial disparities. Veterans of varying age experienced significantly different trends in PSA screening.

BACKGROUND/OBJECTIVES/OBJECTIVE:Poor communication is a barrier to care for people with hearing loss. We assessed the feasibility and potential benefit of providing a simple hearing assistance device during an emergency department (ED) visit, for people who reported difficulty hearing. DESIGN/METHODS:Randomized controlled pilot study. SETTING/METHODS:The ED of New York Harbor Manhattan Veterans Administration Medical Center. PARTICIPANTS/METHODS:One hundred and thirty-three Veterans aged 60 and older, presenting to the ED, likely to be discharged to home, who either (1) said that they had difficulty hearing, or (2) scored 10 or greater (range 0-40) on the Hearing Handicap Inventory-Survey (HHI-S). INTERVENTION/METHODS:Subjects were randomized (1:1), and intervention subjects received a personal amplifier (PA; Williams Sound Pocketalker 2.0) for use during their ED visit. MEASUREMENTS/METHODS:Three survey instruments: (1) six-item Hearing and Understanding Questionnaire (HUQ); (2) three-item Care Transitions Measure; and (3) three-item Patient Understanding of Discharge Information. Post-ED visit phone calls to assess ED returns. RESULTS:Of the 133 subjects, 98.3% were male; mean age was 76.4 years (standard deviation (SD) = 9.2). Mean HHI-S score was 19.2 (SD = 8.3). Across all HUQ items, intervention subjects reported better in-ED experience than controls. Seventy-five percent of intervention subjects agreed or strongly agreed that ability to understand what was said was without effort versus 56% for controls. Seventy-five percent of intervention subjects versus 36% of controls said clinicians provided them with an explanation about presenting problems. Three percent of intervention subjects had an ED revisit within 3 days compared with 9.0% controls. CONCLUSION/CONCLUSIONS:Veterans with hearing difficulties reported improved in-ED experiences with use of PAs, and were less likely to return to the ED within 3 days. PAs may be an important adjunct to older patient ED care but require validation in a larger more definitive randomized controlled trial.