Faculty Bibliography

Background/UNASSIGNED:Although the Decipher genomic classifier has been validated as a prognostic tool for several prostate cancer endpoints, little is known about its role in assessing the risk of biopsy reclassification for patients on active surveillance, a key event that often triggers treatment. Objective/UNASSIGNED:To evaluate the association between Decipher genomic classifier scores and biopsy Gleason upgrading among patients on active surveillance. Design setting and participants/UNASSIGNED:This was a retrospective cohort study among patients with low- and favorable intermediate-risk prostate cancer on active surveillance who underwent biopsy-based Decipher testing as part of their clinical care. Outcome measurements and statistical analysis/UNASSIGNED:We evaluated the association between the Decipher score and any increase in biopsy Gleason grade group (GG) using univariable and multivariable logistic regression. We compared the area under the receiver operating characteristic curve (AUC) for models comprising baseline clinical variables with or without the Decipher score. Results and limitations/UNASSIGNED:= 0.02). The Decipher score was associated with upgrading among patients with biopsy GG 1 disease, but not GG2 disease. The discriminative ability of a clinical model (AUC 0.63, 95% CI 0.51-0.74) was improved by integration of the Decipher score (AUC 0.69, 95% CI 0.58-0.80). Conclusions/UNASSIGNED:The Decipher genomic classifier score was associated with short-term biopsy Gleason upgrading among patients on active surveillance. Patient summary/UNASSIGNED:The results from this study indicate that among patients with prostate cancer undergoing active surveillance, those with higher Decipher scores were more likely to have higher-grade disease found over time. These findings indicate that the Decipher test might be useful for guiding the intensity of monitoring during active surveillance, such as more frequent biopsy for patients with higher scores.

COVID-19 mortality has disproportionately affected specific occupations and industries. The Occupational Safety and Health Administration (OSHA) protects the health and safety of workers by setting and enforcing standards for working conditions. Workers may file OSHA complaints about unsafe conditions. Complaints may indicate poor workplace safety during the pandemic. We evaluated COVID-19-related complaints filed with California (Cal)/OSHA between January 1, 2020 and December 14, 2020 across seven industries. To assess whether workers in occupations with high COVID-19-related mortality were also most likely to file Cal/OSHA complaints, we compared industry-specific per-capita COVID-19 confirmed deaths from the California Department of Public Health with COVID-19-related complaints. Although 7820 COVID-19-related complaints were deemed valid by Cal/OSHA, only 627 onsite inspections occurred, and 32 citations were issued. Agricultural workers had the highest per-capita COVID-19 death rates (402 per 100,000 workers) but were least represented among workplace complaints (44 per 100,000 workers). Health Care workers had the highest complaint rates (81 per 100,000 workers) but the second lowest COVID-19 death rate (81 per 100,000 workers). Industries with the highest inspection rates also had high COVID-19 mortality. Our findings suggest complaints are not proportional to COVID-19 risk. Instead, higher complaint rates may reflect worker groups with greater empowerment, resources, or capacity to advocate for better protections. This capacity to advocate for safe workplaces may account for relatively low mortality rates in potentially high-risk occupations. Future research should examine factors determining worker complaints and complaint systems to promote participation of those with the greatest need of protection.

INTRODUCTION/BACKGROUND:Identifying racial differences in trends in prescription opioid use (POU) is essential for formulating evidence-based responses to the opioid epidemic. This study analyzes trends in the prevalence of POU and exclusive nonopioid analgesic use (ENA) by race-ethnicity. METHODS:The Medical Expenditure Panel Survey was used to examine analgesic use among civilian adults without cancer (age ≥18 years) between 1996 and 2017. The outcome classified individuals into 3 mutually exclusive categories of prescription analgesic use: no prescription analgesic, POU, and ENA. Analyses were conducted between December 2020 and April 2021. RESULTS:Among 250,596 adults, baseline analgesic usage varied with race-ethnicity, where non-Hispanic Whites had the highest POU (11.9%), and it was as prevalent as ENA (11.3%). Non-Hispanic Blacks and Hispanics had lower POU at baseline (9.3% and 9.6%, respectively), and ENA exceeded POU. Subsequently, POU increased across race-ethnicity with concomitant decreases in ENA, eventually eclipsing ENA in Whites and Blacks but not among Hispanics. Although POU among Blacks became as prevalent as it was among Whites in the 2000s-2010s, POU among Hispanics remained lower than the other groups throughout the 2000s-2010s. After the adoption of prescribing limits, POU declined across race-ethnicity by comparable levels in 2016-2017. CONCLUSIONS:Blacks and Hispanics were less likely to use opioids when they first became widely available for noncancer pain. Subsequently, POU displaced ENA among Whites and Blacks. Although POU is often associated with Whites, a significant proportion of the Black population may also be at risk. Finally, although lower POU among Hispanics may be protective of misuse, it could represent undertreatment.

BACKGROUND AND OBJECTIVES/OBJECTIVE:AKI is a common complication of coronavirus disease 2019 (COVID-19) and is associated with high mortality. Palliative care, a specialty that supports patients with serious illness, is valuable for these patients but is historically underutilized in AKI. The objectives of this paper are to describe the use of palliative care in patients with AKI and COVID-19 and their subsequent health care utilization. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS/METHODS:We conducted a retrospective analysis of New York University Langone Health electronic health data of COVID-19 hospitalizations between March 2, 2020 and August 25, 2020. Regression models were used to examine characteristics associated with receiving a palliative care consult. RESULTS:=0.002). Despite greater use of palliative care, patients with AKI had a significantly longer length of stay, more intensive care unit admissions, and more use of mechanical ventilation. Those with AKI did have a higher frequency of discharges to inpatient hospice (6% versus 3%) and change in code status (34% versus 7%) than those without AKI. CONCLUSIONS:Palliative care was utilized more frequently for patients with AKI and COVID-19 than historically reported in AKI. Despite high mortality, consultation occurred late in the hospital course and was not associated with reduced initiation of life-sustaining interventions. PODCAST/UNASSIGNED:This article contains a podcast at https://www.asn-online.org/media/podcast/CJASN/2022_02_24_CJN11030821.mp3.

Low-income adults are significantly more likely to smoke, and face more difficulty in quitting, than people with high income. High rates of delay discounting (DD) may be an important factor contributing to the high rates of tobacco use among low-income adults. Future-oriented financial coaching may offer a novel approach in the treatment of smoking cessation among low-income adults. This secondary analysis (N = 251) of data from a randomized controlled trial examined the integration of future-oriented financial coaching into smoking cessation treatment for low-income smokers. Linear regression and finite mixture models (FMM) estimated the overall and the latent heterogeneity of the impact of the intervention versus usual care control on DD rates 6 months after randomization. Though standard linear regression found no overall difference in DD between intervention and control (β = -0.23, p = 0.338), the FMM identified two latent subgroups with different responses to the intervention. Subgroup 1 (79% of the sample) showed no difference in DD between intervention and control (β = 0.25, p = 0.08). Subgroup 2 (21% of the sample) showed significantly lower DD (β = -2.06, p = 0.003) among intervention group participants versus control at 6 months. Participants were more likely to be a member of subgroup 2 if they had lower baseline DD rates, were living at or below 100% of federal poverty, or were married/living with a partner. This study identified a group of low-income adults seeking to quit smoking who responded to financial coaching with decreased DD rates. These results can be used to inform future targeting of the intervention to individuals who may benefit most, as well as inform future treatment adaptations to support the subgroup of low-income smokers, who did not benefit.

BACKGROUND:The coronavirus pandemic (COVID-19) has placed strains on communities. In the midst of this public health crisis, health systems have created remote methods of monitoring symptom progression and delivering care virtually. OBJECTIVE:Using a text message-based system, we sought to build and test a remote model to explore community needs, connect individuals to curated resources, and facilitate community health worker intervention when needed during COVID-19. The primary aims of this pilot study were to establish the feasibility (i.e., engagement with the text line) and acceptability (i.e., participant ratings of resources and service) of delivering automated wellbeing resources via smartphone technology. METHODS:Eligible patients (18 years or older, cell phone with SMS capability, and recent ED visit) were identified using the EHR. Patients were consented to enroll and begin receiving COVID-19 related information and links to community resources. We collected open- and close-ended resource and mood ratings. We calculated the frequencies and conducted thematic review of open-ended responses. RESULTS:In seven weeks, 356 participants were enrolled; 13,917 messages were exchanged including 333 resource ratings (mean 4) and 673 well-being scores (mean 6.8). We received and coded 386 open-ended responses, most elaborated upon their self-reported mood score (29%). Overall, 77% of our participants rated the platform as a service they would highly recommend to a family member or friend. CONCLUSIONS:This approach is designed to broaden the reach of health systems, tailor to community needs in real-time, and connect at-risk individuals with robust community health support. CLINICALTRIAL/UNASSIGNED/:

Electronic cigarettes (e-cigs) have become prevalent as an alternative to conventional cigarette smoking, particularly in youth. E-cig aerosols contain unique chemicals which alter the oral microbiome and promote dysbiosis in ways we are just beginning to investigate. We conducted a 6-month longitudinal study involving 84 subjects who were either e-cig users, conventional smokers, or nonsmokers. Periodontal condition, cytokine levels, and subgingival microbial community composition were assessed, with periodontal, clinical, and cytokine measures reflecting cohort habit and positively correlating with pathogenic taxa (e.g., Treponema, Saccharibacteria, and Porphyromonas). α-Diversity increased similarly across cohorts longitudinally, yet each cohort maintained a unique microbiome. The e-cig microbiome shared many characteristics with the microbiome of conventional smokers and some with nonsmokers, yet it maintained a unique subgingival microbial community enriched in Fusobacterium and Bacteroidales (G-2). Our data suggest that e-cig use promotes a unique periodontal microbiome, existing as a stable heterogeneous state between those of conventional smokers and nonsmokers and presenting unique oral health challenges. IMPORTANCE Electronic cigarette (e-cig) use is gaining in popularity and is often perceived as a healthier alternative to conventional smoking. Yet there is little evidence of the effects of long-term use of e-cigs on oral health. Conventional cigarette smoking is a prominent risk factor for the development of periodontitis, an oral disease affecting nearly half of adults over 30 years of age in the United States. Periodontitis is initiated through a disturbance in the microbial biofilm communities inhabiting the unique space between teeth and gingival tissues. This disturbance instigates host inflammatory and immune responses and, if left untreated, leads to tooth and bone loss and systemic diseases. We found that the e-cig user's periodontal microbiome is unique, eliciting unique host responses. Yet some similarities to the microbiomes of both conventional smokers and nonsmokers exist, with strikingly more in common with that of cigarette smokers, suggesting that there is a unique periodontal risk associated with e-cig use.

Despite increased neuroscience interest at the undergraduate level, a significant shortage of neurologists in the United States (US) exists. To better understand how to generate more interest in neurology specifically at the undergraduate level, we conducted an anonymous cross-sectional online survey of 1085 undergraduates either in neuroscience courses or majoring/minoring in neuroscience from across the US to better understand their clinical neurology experiences and perspectives. The survey quantitatively and qualitatively assessed students' clinical neurology exposure inside and outside of the classroom, research experiences and career goals. Students were from a broad spectrum of undergraduate institutions (public research university (40.8%), liberal arts College (29.7%) and private research university (29.0%). Most students (89.9%) were looking to pursue graduate studies; 56.9% reported wanting to be a physician and 17.8% expressed interest in obtaining an MD/PhD. Importantly, students reported first exposure to neuroscience at age 16 but felt that they could be exposed to neuroscience as early as 13. Half (50.5%) decided to major in neuroscience before college and a quarter (25.6%) decided to major in their first year of college. Despite high interest in clinical neurology exposure, less than one-third of students had spoken with or shadowed a neurologist, and only 13.6% had interacted with clinical neurology populations. Only 20.8% of students felt volunteer and internship opportunities were sufficiently available. Qualitative results include student perspectives from those who did and did not work with a neurologist, describing how they were or were not able to obtain such opportunities. We discuss translating the survey findings into actionable results with opportunities to target the undergraduate neuroscience interest to improve the neurology pipeline. We describe existing programs that could be integrated into everyday neurology practices and new approaches to learning and training to help leverage the significant undergraduate neuroscience interest. We also raise questions for further research, including exploring (1) how students learn of neurologic conditions/expand their knowledge about additional neurologic conditions, (2) whether qualitative investigation of the experiences of neuroscience undergraduates at specific institutions might provide additional insight, and (3) systems to maintain interest in neuroscience/neurology as students enter medical school.

INTRODUCTION/BACKGROUND:'Multimorbidity' describes the presence of two or more long-term conditions, which can include communicable, non-communicable diseases, and mental disorders. The rising global burden from multimorbidity is well documented, but trial evidence for effective interventions in low-/middle-income countries (LMICs) is limited. Selection of appropriate outcomes is fundamental to trial design to ensure cross-study comparability, but there is currently no agreement on a core outcome set (COS) to include in trials investigating multimorbidity specifically in LMICs. Our aim is to develop international consensus on two COSs for trials of interventions to prevent and treat multimorbidity in LMIC settings. METHODS AND ANALYSIS/UNASSIGNED:Following methods recommended by the Core Outcome Measures in Effectiveness Trials initiative, the development of these two COSs will occur in parallel in three stages: (1) generation of a long list of potential outcomes for inclusion; (2) two-round online Delphi surveys and (3) consensus meetings. First, to generate an initial list of outcomes, we will conduct a systematic review of multimorbidity intervention and prevention trials and interviews with people living with multimorbidity and their caregivers in LMICs. Outcomes will be classified using an outcome taxonomy. Two-round Delphi surveys will be used to elicit importance scores for these outcomes from people living with multimorbidity, caregivers, healthcare professionals, policy makers and researchers in LMICs. Finally, consensus meetings including all of these stakeholders will be held to agree outcomes for inclusion in the two COSs. ETHICS AND DISSEMINATION/UNASSIGNED:The study has been approved by the Research Governance Committee of the Department of Health Sciences, University of York, UK (HSRGC/2020/409/D:COSMOS). Each participating country/research group will obtain local ethics board approval. Informed consent will be obtained from all participants. We will disseminate findings through peer-reviewed open access publications, and presentations at global conferences selected to reach a wide range of LMIC stakeholders. PROSPERO REGISTATION NUMBER/UNASSIGNED:CRD42020197293.