Faculty Bibliography

Purpose/UNASSIGNED:Growing evidence suggests that dendrite retraction or degeneration in a subpopulation of the retinal ganglion cells (RGCs) may precede detectable soma abnormalities and RGC death in glaucoma. Visualization of the lamellar structure of the inner plexiform layer (IPL) could advance clinical management and fundamental understanding of glaucoma. We investigated whether visible-light optical coherence tomography (vis-OCT) could detect the difference in the IPL sublayer thicknesses between small cohorts of healthy and glaucomatous subjects. Method/UNASSIGNED:We imaged nine healthy and five glaucomatous subjects with vis-OCT. Four of the healthy subjects were scanned three times each in two separate visits, and five healthy and five glaucoma subjects were scanned three times during a single visit. IPL sublayers were manually segmented using averaged A-line profiles. Results/UNASSIGNED:The mean ages of glaucoma and healthy subjects are 59.6 ± 13.4 and 45.4 ± 14.4 years (P = 0.02.) The visual field mean deviations (MDs) are -26.4 to -7.7 dB in glaucoma patients and -1.6 to 1.1 dB in healthy subjects (P = 0.002). Median coefficients of variation (CVs) of intrasession repeatability for the entire IPL and three sublayers are 3.1%, 5.6%, 6.9%, and 5.6% in healthy subjects and 1.8%, 6.0%, 7.7%, and 6.2% in glaucoma patients, respectively. The mean IPL thicknesses are 36.2 ± 1.5 µm in glaucomatous and 40.1 ± 1.7 µm in healthy eyes (P = 0.003). Conclusions/UNASSIGNED:IPL sublayer analysis revealed that the middle sublayer could be responsible for the majority of IPL thinning in glaucoma. Vis-OCT quantified IPL sublayers with good repeatability in both glaucoma and healthy subjects.

PURPOSE/OBJECTIVE:To outline a method for obtaining more accurate estimates of drug use in the United States (US) general population by correcting survey data for underreported and unknown drug use. METHODS:We simulated a population (n=100,000) reflecting the demographics of the US adult population per the 2018 American Community Survey. Within this population, we simulated the "true" and self-reported prevalence of past-month cannabis and cocaine use by using available estimates of underreporting. We applied our algorithm to samples of the simulated population to correct self-reported estimates and recover the "true" population prevalence, validating our approach. We applied this same method to 2018 National Survey on Drug Use and Health data to produce a range of underreporting-corrected estimates. RESULTS:Simulated self-report sensitivities varied by drug and sampling method (cannabis: 77.6-78.5%, cocaine: 14.3-22.1%). Across repeated samples, mean corrected prevalences (calculated by dividing self-reported prevalence by estimated sensitivity) closely approximated simulated "true" prevalences. Applying our algorithm substantially increased 2018 NSDUH estimates (self-report: cannabis=10.5%, cocaine=0.8%; corrected: cannabis=15.6-16.6%, cocaine=2.7-5.5%). CONCLUSION/CONCLUSIONS:National drug use prevalence estimates can be corrected for underreporting using a simple method. However, valid application of this method requires accurate data on the extent and correlates of misclassification in the general US population.

Exclusion of special populations (older adults; pregnant women, children, and adolescents; individuals of lower socioeconomic status and/or who live in rural communities; people from racial and ethnic minority groups; individuals from sexual or gender minority groups; and individuals with disabilities) in research is a pervasive problem, despite efforts and policy changes by the National Institutes of Health and other organizations. These populations are adversely impacted by social determinants of health (SDOH) that reduce access and ability to participate in biomedical research. In March of 2020, the Northwestern University Clinical and Translational Sciences Institute hosted the "Lifespan and Life Course Research: integrating strategies" "Un-Meeting" to discuss barriers and solutions to underrepresentation of special populations in biomedical research. The COVID-19 pandemic highlighted how exclusion of representative populations in research can increase health inequities. We applied findings of this meeting to perform a literature review of barriers and solutions to recruitment and retention of representative populations in research and to discuss how findings are important to research conducted during the ongoing COVID-19 pandemic. We highlight the role of SDOH, review barriers and solutions to underrepresentation, and discuss the importance of a structural competency framework to improve research participation and retention among special populations.

OBJECTIVE:To estimate difference in population-level glycemic control and the emergence of diabetes complications given a theoretical scenario in which non-White youth and young adults (YYA) with type 1 diabetes (T1D) receive and follow an equivalent distribution of diabetes treatment regimens as non-Hispanic White YYA. RESEARCH DESIGN AND METHODS/METHODS:) and the prevalence of diabetes complications for non-White YYA. RESULTS:< 0.05), although the low proportion of YYA who developed complications limited statistical power for risk estimations. CONCLUSIONS:Mathematically modeling an equalized distribution of T1D self-management tools and technology accounted for part of but not all disparities in glycemic control between non-White and White YYA, underscoring the complexity of race and ethnicity-based health inequity.

In this Ethics Rounds we present a conflict regarding discharge planning for a febrile infant in the emergency department. The physician believes discharge would be unsafe and would constitute a discharge against medical advice. The child's mother believes her son has been through an already extensive and painful evaluation and would prefer to monitor her well-appearing son closely at home with a safety plan and a next-day outpatient visit. Commentators assess this case from the perspective of best interest, harm-benefit, conflict management, and nondiscriminatory care principles and prioritize a high-quality informed consent process. They characterize the formalization of discharge against medical advice as problematic. Pediatricians, a pediatric resident, ethicists, an attorney, and mediator provide a range of perspectives to inform ethically justifiable options and conflict resolution practices.

For any given city, on any calendar day, there will be record high and low temperatures. Which record occurred earlier? If there is a trend towards warming then, intuitively, there should be a preponderance of record highs occurring more recently than the record lows for each of the 365 calendar days. We are interested in modeling the joint distribution of appearances of the extremes but not these values themselves. We develop a bivariate discrete distribution modeling the joint indices of maximum and minimum in a sequence of independent random variables sampled from different distributions. We assume these distributions share a proportional hazard rate and develop regression methods for these paired values. This approach has reasonable power to detect a small mean change over a decade. Using readily available public data, we examine the daily calendar extreme values of five US cities for the decade 2011"“2020. We develop linear regression models for these data, describe models to account for calendar-date dependence, and use diagnostic measures to detect remarkable observations.

Air quality management is increasingly focused not only on across-the-board reductions in ambient pollution concentrations but also on identifying and remediating elevated exposures that often occur in traditionally disadvantaged communities. Remote sensing of ambient air pollution using data derived from satellites has the potential to better inform management decisions that address environmental disparities by providing increased spatial coverage, at high-spatial resolutions, compared to air pollution exposure estimates based on ground-based monitors alone. Daily PM2.5 estimates for 2015"“2018 were estimated at a 1 km2 resolution, derived from NASA"™s Moderate Resolution Imaging Spectroradiometer (MODIS) satellite instrument and the Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm in order to assess the utility of highly refined spatiotemporal air pollution data in 92 California cities and in the 13 communities included in the California Community Air Protection Program. The identification of pollution hot-spots within a city is typically not possible relying solely on the regulatory monitoring networks; however, day-to-day temporal variability was shown to be generally well represented by nearby ground-based monitoring data even in communities with strong spatial gradients in pollutant concentrations. An assessment of within-ZIP Code variability in pollution estimates indicates that high-resolution pollution estimates (i.e., 1 km2) are not always needed to identify spatial differences in exposure but become increasingly important for larger geographic areas (approximately 50 km2). Taken together, these findings can help inform strategies for use of remote sensing data for air quality management including the screening of locations with air pollution exposures that are not well represented by existing ground-based air pollution monitors.

CONTEXT/BACKGROUND:Accelerating evidence of endocrine-related morbidity has raised alarm about the ubiquitous use of phthalates in the human environment, but studies have not directly evaluated mortality in relation to these exposures. OBJECTIVES/OBJECTIVE:To evaluate associations of phthalate exposure with mortality, and quantify attributable mortality and lost economic productivity in 2013-4 among 55-64 year olds. DESIGN/METHODS:This nationally representative cohort study included 5303 adults aged 20 years or older who participated in the US National Health and Nutrition Examination Survey 2001-2010 and provided urine samples for phthalate metabolite measurements. Participants were linked to mortality data from survey date through December 31, 2015. Data analyses were conducted in July 2020. MAIN OUTCOME MEASURES/METHODS:Mortality from all causes, cardiovascular disease, and cancer. RESULTS:Multivariable models identified increased mortality in relation to high-molecular weight (HMW) phthalate metabolites, especially those of di-2-ethylhexylphthalate (DEHP). Hazard ratios (HR) for continuous HMW and DEHP metabolites were 1.14 (95% CI 1.06-1.23) and 1.10 (95% CI 1.03-1.19), respectively, with consistently higher mortality in the third tertile (1.48, 95% CI 1.19-1.86; and 1.42, 95% CI 1.13-1.78). Cardiovascular mortality was significantly increased in relation to a prominent DEHP metabolite, mono-(2-ethyl-5-oxohexyl)phthalate. Extrapolating to the population of 55-64 year old Americans, we identified 90,761-107,283 attributable deaths and $39.9-47.1 billion in lost economic productivity. CONCLUSIONS:In a nationally representative sample, phthalate exposures were associated with all-cause and cardiovascular mortality, with societal costs approximating $39 billion/year or more. While further studies are needed to corroborate observations and identify mechanisms, regulatory action is urgently needed.

A growing body of literature indicates that Latinx immigrant families are adversely affected by restrictive immigration policies and anti-immigrant rhetoric. Little is known about how educators working with Latinx immigrant communities in restrictive immigration climates fare. Using mixed-methods, this study sought to better understand how the work and well-being of educators working with Latinx immigrant communities can be affected by a charged immigration climate. Using survey data from 88 educators in New York City and interview data from 17 educators in New York, California, Arizona, and Texas, we find that efficacy to help distressed children varies among educators. School-based resources such as clear, proactive organizational communication, supportive leadership that is attune to the needs and strengths of the immigrant community and communal coping are associated with educator efficacy to address student distress. Qualitative findings triangulate quantitative data; absent structural supports, educators working in Latinx immigrant communities can be adversely impacted by a charged immigration climate due to increases in work complexity, their own immigration-related worry, and experiences of vicarious racism. Recommendations for supports for educators working with Latinx immigrant communities are discussed.