Faculty Bibliography

BACKGROUND:Female reproductive organ-sparing (ROS) and nerve-sparing radical cystectomy (RC) techniques have been shown to be oncologically safe and to improve sexual function outcomes among select patients with organ-confined disease. We sought to characterize practice patterns regarding female ROS and nerve-sparing RC among US urologists. PATIENTS AND METHODS:We conducted a cross-sectional survey of members of the Society of Urologic Oncology to assess provider-reported frequency of ROS and nerve-sparing RC in premenopausal and postmenopausal patients with non-muscle-invasive bladder cancer that failed intravesical therapy or clinically localized muscle-invasive bladder cancer. RESULTS:Among 101 urologists, 80 (79.2%) reported that they routinely resect the uterus/cervix, 68 (67.3%) the neurovascular bundle, 49 (48.5%) the ovaries, and 19 (18.8%) a portion of the vagina when performing RC in premenopausal patients with organ-confined disease. When asked about changes to approach in postmenopausal patients, 71 participants (70.3%) reported that they were less likely to spare the uterus/cervix, 44 (43.6%) were less likely to spare the neurovascular bundle, 70 (69.3%) were less likely to spare the ovaries, and 23 (22.8%) were less likely to spare a portion of the vagina. CONCLUSION:We identified significant gaps in adoption of female ROS and nerve-sparing RC techniques for patients with organ-confined disease, despite evidence that ROS and nerve-sparing techniques are oncologically safe and can optimize functional outcomes in select patients. Future efforts should improve provider training in and education about ROS and nerve-sparing RC to improve postoperative outcomes among female patients.

A person's place of residence is a strong risk factor for important diagnosed chronic diseases such as diabetes. It is unclear whether neighborhood-level risk factors also predict the probability of undiagnosed disease. The objective of this study was to identify neighborhood-level variables associated with severe hyperglycemia among emergency department (ED) patients without a history of diabetes. We analyzed patients without previously diagnosed diabetes for whom a random serum glucose value was obtained in the ED. We defined random glucose values ≥ 200 mg/dL as severe hyperglycemia, indicating probable undiagnosed diabetes. Patient addresses were geocoded and matched with neighborhood-level socioeconomic measures from the American Community Survey and claims-based surveillance estimates of diabetes prevalence. Neighborhood-level exposure variables were standardized based on z-scores, and a series of logistic regression models were used to assess the association of selected exposures and hyperglycemia adjusting for biological and social individual-level risk factors for diabetes. Of 77,882 ED patients without a history of diabetes presenting in 2021, 1,715 (2.2%) had severe hyperglycemia. Many geospatial exposures were associated with uncontrolled hyperglycemia, even after controlling for individual-level risk factors. The most strongly associated neighborhood-level variables included lower markers of educational attainment, higher percentage of households where limited English is spoken, lower rates of white-collar employment, and higher rates of Medicaid insurance. Including these geospatial factors in risk assessment models may help identify important subgroups of patients with undiagnosed disease.

BACKGROUND/UNASSIGNED:The transition to telehealth during the COVID-19 pandemic revealed a lack of preexisting telehealth training for clinicians. As a workplace-based simulation methodology designed to improve virtual clinical skills, announced standardized patients (ASPs) may help meet evolving educational needs to sustain quality telehealth care. OBJECTIVE/UNASSIGNED:We describe the development and implementation of an ASP program to assess and provide feedback to resident and faculty clinicians in virtual practice, and report on performance, feasibility, and acceptability. METHODS/UNASSIGNED:From June 2021 to April 2022, resident and faculty clinicians at a VA primary care clinic participated in a video visit in which an ASP portrayed either a 70-year-old man with hearing loss and hypertension or a 60-year-old man with hypertension and financial stress. Following the visit, ASPs provided verbal feedback and completed a behaviorally anchored checklist to rate telehealth and communication skills, chronic disease management, and use of resources. Domain summary scores were calculated as the mean percentage of "well done" items. Participants completed a feedback survey on their experience. RESULTS/UNASSIGNED:Seventy-six televisits (60 primary care residents [postgraduate year 1-3], 16 internal medicine faculty) were conducted from August 2021 to April 2022. Clinicians performed well in communication skills: information gathering (79%, 60 of 76, well done), relationship development (67%, 51 of 76), education and counseling (71%, 54 of 76), and patient satisfaction (86%, 65 of 76). They performed less well in telemedicine skills (38%, 29 of 76). Participants agreed that the experience was a good use of their time (88%, 67 of 76). CONCLUSIONS/UNASSIGNED:An ASP-facilitated training for resident and faculty clinicians assessed telehealth skills and clinical practice and identified areas for intervention. Clinicians responded well to the training and feedback.

BACKGROUND:Recent studies have demonstrated considerable interindividual variability in postprandial glucose response (PPGR) to the same foods, suggesting the need for more precise methods for predicting and controlling PPGR. In the Personal Nutrition Project, the investigators tested a precision nutrition algorithm for predicting an individual's PPGR. OBJECTIVE:This study aimed to compare changes in glycemic variability (GV) and HbA1c in 2 calorie-restricted weight loss diets in adults with prediabetes or moderately controlled type 2 diabetes (T2D), which were tertiary outcomes of the Personal Diet Study. METHODS:The Personal Diet Study was a randomized clinical trial to compare a 1-size-fits-all low-fat diet (hereafter, standardized) with a personalized diet (hereafter, personalized). Both groups received behavioral weight loss counseling and were instructed to self-monitor diets using a smartphone application. The personalized arm received personalized feedback through the application to reduce their PPGR. Continuous glucose monitoring (CGM) data were collected at baseline, 3 mo and 6 mo. Changes in mean amplitude of glycemic excursions (MAGEs) and HbA1c at 6 mo were assessed. We performed an intention-to-treat analysis using linear mixed regressions. RESULTS:We included 156 participants [66.5% women, 55.7% White, 24.1% Black, mean age 59.1 y (standard deviation (SD) = 10.7 y)] in these analyses (standardized = 75, personalized = 81). MAGE decreased by 0.83 mg/dL per month for standardized (95% CI: 0.21, 1.46 mg/dL; P = 0.009) and 0.79 mg/dL per month for personalized (95% CI: 0.19, 1.39 mg/dL; P = 0.010) diet, with no between-group differences (P = 0.92). Trends were similar for HbA1c values. CONCLUSIONS:Personalized diet did not result in an increased reduction in GV or HbA1c in patients with prediabetes and moderately controlled T2D, compared with a standardized diet. Additional subgroup analyses may help to identify patients who are more likely to benefit from this personalized intervention. This trial was registered at clinicaltrials.gov as NCT03336411.

This study explored the link between classroom-level problem behaviors and teacher-child interaction quality in 307 Head Start preschool classrooms. The moderating role of the classroom's age composition (e.g., 3- and 4-year-olds versus 4-year-olds only) also was examined. Using a dataset of 852 3-year-old children and 1114 4-year-old children, classroom-level problem behaviors were operationalized using teacher reports of children's problem behaviors. Results indicated that classroom-level problem behaviors, specifically oppositional/aggressive and internalizing behavior, were associated with lower teacher-child interaction quality (i.e., emotional support, classroom organization, and instructional support). In contrast, classroom-level hyperactivity was only negatively related to classroom instructional support. Moderation results indicated that high-levels of classroom-level activity were related to lower-levels of teacher-child interaction quality, but for 4-year-old only classrooms. The results of this study have implications for practice and policy.

Survival analysis is a general framework for predicting the time until a specific event occurs, often in the presence of censoring. Although this framework is widely used in practice, few studies to date have considered fairness for time-to-event outcomes, despite recent significant advances in the algorithmic fairness literature more broadly. In this paper, we propose a framework to achieve demographic parity in survival analysis models by minimizing the mutual information between predicted time-to-event and sensitive attributes. We show that our approach effectively minimizes mutual information to encourage statistical independence of time-to-event predictions and sensitive attributes. Furthermore, we propose four types of disparity assessment metrics based on common survival analysis metrics. Through experiments on multiple benchmark datasets, we demonstrate that by minimizing the dependence between the prediction and the sensitive attributes, our method can systematically improve the fairness of survival predictions and is robust to censoring.

OBJECTIVE:To examine whether aspects of social capital, or benefits received from social relationships, are associated with regular bedtime and sleep duration across childhood in US families with lower income. METHODS:Cross-sectional study using the 2018-19 National Survey of Children's Health in participants with incomes <400% federal poverty level. Separately for early childhood (0-5 years), school-age (6-12 years), and adolescence (13-17 years), we used weighted logistic regression to examine associations between social capital (measured by family social cohesion, parent social support, child social support) and sleep (measured by regular bedtime, sleep duration, adequate sleep per American of Academy of Sleep guidelines). Path analysis tested whether regular bedtime mediated associations between social capital and sleep duration. RESULTS:In our sample (N = 35,438), 84.9% had a regular bedtime, 60.2% had adequate sleep. Family social cohesion was associated with sleep duration and adequate sleep (infancy: adjusted odds ratio [aOR] 2.18 [95% confidence interval [CI], 1.32, 3.60]; school age: aOR 2.03 [95% CI, 1.57, 2.63]; adolescence: aOR 2.44 [95% CI, 1.94, 3.09]). In toddlerhood, parent social support was associated with adequate sleep (aOR 1.44 [95% CI, 1.06, 1.96]). In adolescence, child social support was associated with regular bedtime (aOR 1.70 [95% CI, 1.25, 2.32]. Across childhood, associations between family social cohesion and sleep duration were partially mediated by regular bedtime. CONCLUSIONS:Family social cohesion was associated with adequate sleep across childhood, this was partially mediated by regular bedtime. Associations between social support and sleep outcomes varied by development stage. Future work should consider how supportive relationships may influence child sleep outcomes.

BACKGROUND AND OBJECTIVE/OBJECTIVE:Older adults initiating dialysis have a high risk of mortality and that risk may be related to potentially inappropriate medications (PIMs). Our objective was to identify and validate mortality risk associated with American Geriatrics Society Beers Criteria PIM classes and concomitant PIM use. METHODS:We used US Renal Data System data to establish a cohort of adults aged ≥ 65 years initiating dialysis (2013-2014) and had no PIM prescriptions in the 6 months prior to dialysis initiation. In a development cohort (40% sample), adjusted Cox proportional hazards models were performed to determine which of 30 PIM classes were associated with mortality (or "high-risk" PIMs). Adjusted Cox models were performed to assess the association of the number of "high-risk" PIM fills/month with mortality. All models were repeated in the validation cohort (60% sample). RESULTS:In the development cohort (n = 15,570), only 13 of 30 PIM classes were associated with a higher mortality risk. Compared with those with no "high-risk" PIM fills/month, patients having one "high-risk" PIM fill/month had a 1.29-fold (95% confidence interval 1.21-1.38) increased risk of death; those with two or more "high-risk" PIM fills/month had a 1.40-fold (95% confidence interval 1.24-1.58) increased risk. These findings were similar in the validation cohort (n = 23,569). CONCLUSIONS:Only a minority of Beers Criteria PIM classes may be associated with mortality in the older dialysis population; however, mortality risk increases with concomitant use of "high-risk" PIMs. Additional studies are needed to confirm these associations and their underlying mechanisms.