Faculty Bibliography

RATIONALE & OBJECTIVE/OBJECTIVE:Despite national efforts, the uptake of home dialysis (peritoneal dialysis or home hemodialysis) remains low. Characteristics of the built environment may differentially impact home dialysis use. STUDY DESIGN/METHODS:Retrospective cohort study (2010-2019). SETTING & PARTICIPANTS/METHODS:1,103,695 adults (aged≥18 years) initiating dialysis in the US Renal Data System. EXPOSURE/METHODS:We examined 3 built environment domains based on residential ZIP code: (1) medically underserved areas (MUAs), defined as neighborhoods with limited primary care access; (2) distance to the nearest dialysis facility; and (3) distribution of housing characteristics (structure and overcrowding). OUTCOME/RESULTS:Uptake of home dialysis modalities at dialysis initiation. ANALYTICAL APPROACH/METHODS:We quantified associations between built environment characteristics and home dialysis initiation using multilevel logistic regression stratified by urbanicity type (urban, suburban, small-town, and rural). RESULTS:Among adults initiating dialysis, 40.8% lived in MUAs. Across ZIP codes, the mean percentage of overcrowded housing was 4.2% (SD, 4.7%), and the percentage of detached housing was 61.1% (SD, 21.1%); mean distance to the nearest dialysis facility was 5.5km (SD, 9.1km). Living in MUAs was associated with reduced home dialysis use only in urban (OR, 0.94; 95% CI, 0.91-0.96) and suburban (OR, 0.92; 95% CI, 0.89-0.94) areas. Similarly, housing overcrowding was associated with decreased home dialysis use only in urban (OR, 0.88; 95% CI, 0.86-0.89) and suburban (OR, 0.91; 95% CI, 0.90-0.93) areas. Longer distance to a dialysis facility was the most salient neighborhood factor associated with increased home dialysis use in small towns (OR, 1.14; 95% CI, 1.12-1.16) and rural areas (OR, 1.17; 95% CI, 1.15-1.19). LIMITATIONS/CONCLUSIONS:Housing characteristics were measured at the ZIP code level. CONCLUSIONS:Built environment characteristics associated with home dialysis uptake vary by urbanicity. Policies should address built environment barriers that are specific to urbanicity level. For example, increasing the frequency of dialysate delivery schedules could address housing space constraints in urban and suburban areas, and promoting home dialysis might be more effective for patients living far from dialysis centers in small-town and rural areas.

IMPORTANCE/UNASSIGNED:Identifying atypical body mass index (BMI) trajectories in children and understanding associated, modifiable early-life factors may help prevent childhood obesity. OBJECTIVE/UNASSIGNED:To characterize multiphase BMI trajectories in children and identify associated modifiable early-life factors. DESIGN, SETTING, AND PARTICIPANTS/UNASSIGNED:This cohort study included longitudinal data obtained from January 1997 to June 2024, from the Environmental influences on Child Health Outcomes (ECHO) cohort, which included children aged 1 to 9 years with 4 or more weight and height assessments. Analyses were conducted from January to June 2024. EXPOSURES/UNASSIGNED:Prenatal exposure to substances and stress (smoking, alcohol, depression, anxiety), maternal characteristics (prepregnancy BMI, gestational weight gain), child characteristics (preterm birth, birth weight, breastfeeding), and demographic covariates. MAIN OUTCOMES AND MEASURES/UNASSIGNED:BMI (calculated as weight in kilograms divided by length in meters squared for children aged 1 and 2 years and as weight in kilograms divided by height in meters squared for children older than 2 years) obtained using medical records, staff measurements, caregiver reports, or remote study measures. The analysis was conducted using a multiphase latent growth mixture model. RESULTS/UNASSIGNED:This study included 9483 children (4925 boys [51.9%]). Two distinct 2-phase BMI patterns were identified: typical and atypical. The typical group (n = 8477 [89.4%]) showed linear decreases in BMI (b2, -0.23 [95% CI, -0.24 to -0.22]), with the lowest BMI at age 6 years (95% CI, 5.94-6.11), followed by linear increases from 6 to 9 years (slope difference [b4 - b2], 0.81 [95% CI, 0.76-0.86]; mean BMI at 9 years: 17.33). The atypical group (n = 1006 [10.6%]) showed a stable BMI from ages 1 to 3.5 years (b6, 0.06 [95% CI, -0.04 to 0.15]), followed by rapid linear increases from ages 3.5 to 9 years (slope difference [b8 - b6], 1.44 [95% CI, 1.34-1.55]). At age 9 years, this group reached a mean BMI (26.2) that exceeded the 99th percentile. Prenatal smoking, high prepregnancy BMI, high gestational weight gain, and high birth weight were key risk factors for the atypical trajectory. CONCLUSIONS AND RELEVANCE/UNASSIGNED:In this cohort study of children in the ECHO cohort, analyses identified children on the path to obesity as early as age 3.5 years. Modifiable factors could be targeted for early prevention and intervention programs aimed at reducing childhood obesity.

Germline Testing (GT) for prostate cancer (PCA) is now central to PCA care and hereditary cancer assessment, with a rising role in PCA screening approaches. Guidelines have significantly expanded to include testing patients with metastatic PCA, advanced PCA or with high-risk features, and for males with or without PCA with a strong family cancer history to identify hereditary cancer syndromes for patients and their families. However, the expansion of GT has overwhelmed genetic counselling programs, necessitating the development and evaluation of alternate genetic delivery models. Furthermore, disparities in engagement in PCA GT are of major concern for impacting PCA-related and overall cancer-related outcomes for patients and their families. This review focuses on integrating PCA GT guidelines with implementation strategies and addressing PCA GT disparities to help inform current and future strategies to enhance the benefits of GT across populations.

INTRODUCTION/BACKGROUND:Reasons for emergency department (ED) visits for persons with cognitive impairment are usually driven by unmet needs. METHODS:ED patients ≥ 75 years old with screener-detected cognitive impairment (Mini-Cog ≤ 3/5) or care partner tool (Informant Questionnaire on Cognitive Decline in the Elderly > 3.4), and care partners from New York and Indiana academically affiliated EDs, were randomly assigned to 6-month dementia care management or usual care. Nurses and paraprofessionals used principles of dementia care management informed by root cause analyses of participants' ED visits. We used logistic regression to compare ED revisit rates during the 6-month intervention. RESULTS:Of 642 dyads-320 intervention, 322 usual care-256 of 632 (40.5%) had at least one ED revisit within 6 months of index visit, but without between-group differences in revisit rates, care partner activation, or symptoms of depression or anxiety at 3 or 6 months. DISCUSSION/CONCLUSIONS:Using root cause analysis to inform dementia care management did not reduce ED revisits. HIGHLIGHTS/CONCLUSIONS:Cognitive screening during emergency department (ED) visits is feasible for quality improvement. ED cognitive screening alone may not identify dyads who need care management. Identifying root causes for ED visits could personalize post-visit care management. Root cause-informed care management did not reduce ED revisits. Need-based screening might better target ED patients with cognitive impairment.

INTRODUCTION/BACKGROUND:Delayed Emergency Medical Services (EMS) response and transport (time from injury occurrence to hospital arrival) are associated with increased injury mortality. Inequities in accessing EMS care for injured patients are not well characterized. We sought to evaluate the association between the area deprivation index (ADI), a measure of geographic socioeconomic disadvantage, and timely access to EMS care within the United States. METHODS:The Homeland Infrastructure Foundation Level Data open-source database from the National Geospatial Intelligence Agency was used to evaluate the location of EMS stations across the United States using longitude and latitude coordinates. The ADI was obtained from Neighborhood Atlas at the census block group level. An ambulance desert (AD) was defined as populated census block groups with a geographic center outside of a 25-minute ambulance service area. The total population (urban and rural) located within an AD and outside an AD (non-ambulance desert [NAD]) and the ADI index distribution within those areas were calculated with their statistical significance derived from χ2 testing. Spearman correlations between the number of EMS stations available within 25-minutes service areas and ADI were calculated, and statistical significance was derived after accounting for spatial autocorrelation. RESULTS:A total of 42,472 ground EMS stations were identified. Of the 333,036,755 people (current US population), 2.6% are located within an AD. When stratified by type of population, 0.3% of people within urban populations and 8.9% of people within rural populations were located within an AD (p < 0.01). When compared with NADs, ADs were more likely to have a higher ADI (ADIAD, 53.13; ADINAD, 50.41; p < 0.01). The number of EMS stations available per capita was negatively correlated with ADI (rs = -0.25, p < 0.01), indicating that people living in more disadvantaged neighborhoods are likely to have fewer EMS stations available. CONCLUSION/CONCLUSIONS:Ambulance deserts are more likely to affect rural versus urban populations and are associated with higher ADIs. The impact of inequities in access to EMS care on outcomes deserves further study. LEVEL OF EVIDENCE/METHODS:Prognostic and Epidemiological; Level III.

Between May 2020 and December 2021, there were 159,872 drug overdose deaths in the US. Higher eviction rates have been associated with higher overdose mortality. Amid the economic turmoil caused by the COVID-19 pandemic, 43 states and Washington, DC, implemented eviction moratoria of varying durations. These moratoria reduced eviction filing rates, but their impact on fatal drug overdoses remains unexplored. We evaluated the effect of these policies on county-level overdose death rates by focusing on the dates the state eviction moratoria were lifted. We obtained mortality data from NCHS and eviction moratoria dates from the COVID-19 US State Policy Database. We employed a longitudinal targeted minimum-loss-based estimation with Super Learner to flexibly estimate the average treatment effect (ATE) of never lifting the moratoria. Lifting state eviction moratoria was associated with a 0.14 per 100,000 higher rate of monthly overdose mortality (95%CI: -0.03, 0.32), although confidence intervals were wide and included zero. Eviction moratoria may not be sufficient to prevent overdose mortality during crises such as the COVID-19 pandemic.

Ovarian cancer remains low in prevalence but has the highest mortality of all gynecologic malignancies. Population-based screening for ovarian cancer remains a topic of interest in contemporary practice, given that the majority of cancers encountered are high-grade aggressive malignancies, for which favorable survival is encountered in the setting of early-stage disease. This document summarizes a review of the available data from randomized and observational trials that have evaluated the role of imaging for ovarian cancer screening in average-risk and high-risk patients. When considering screening using pelvic ultrasound in average-risk patients, we found insufficient published evidence to recommend ovarian cancer screening. Randomized controlled trials have not demonstrated a mortality benefit in this setting. Screening with pelvic ultrasound may be appropriate for select patients at high risk, although the existing data remain limited as large, randomized trials have not been performed in this setting. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision process support the systematic analysis of the medical literature from peer reviewed journals. Established methodology principles such as Grading of Recommendations Assessment, Development, and Evaluation or GRADE are adapted to evaluate the evidence. The RAND/UCLA Appropriateness Method User Manual provides the methodology to determine the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where peer reviewed literature is lacking or equivocal, experts may be the primary evidentiary source available to formulate a recommendation.

BACKGROUND:Despite the need, care partners of persons living with mild cognitive impairment (MCI) use supportive services less. The unique needs of care partners to persons living with MCI are not well described. This study explores how care partners support the inner strength of persons newly diagnosed with MCI. METHODS:Nine dyads of persons living with MCI and their care partners completed semi-structured interviews, analyzed according to the Listening Guide methodology. RESULTS:Care partners described supporting inner strengths of persons living with MCI by carrying the cognitive load and being reliable. Reconceptualizing identity was foundational. Across themes, care partners needed simultaneous support for themselves. DISCUSSION/CONCLUSIONS:This study represents the perspectives of a well-defined group of care partners to persons living with MCI. Eliciting the perspectives of underrepresented care partners and equitable access to MCI diagnosis are essential for future research. Dyadic supportive services tailored for MCI using a strengths-based approach are needed. HIGHLIGHTS/CONCLUSIONS:Care partners to persons living with mild cognitive impairment (MCI) are unique. Care partners support inner strength of persons living with MCI and need simultaneous support. Care partners reconceptualize their identities, are reliable, and carry cognitive load. Methods for eliciting perspectives of underrepresented care partners are needed. Supportive services tailored for MCI using a strengths-based approach are needed.