Faculty Bibliography

Importance/UNASSIGNED:Diabetes causes substantial morbidity and mortality among adults in the US, yet its incidence varies across the country, suggesting that neighborhood factors are associated with geographical disparities in diabetes. Objective/UNASSIGNED:To examine the association between neighborhood food environment and risk of incident type 2 diabetes across different community types (high-density urban, low-density urban, suburban, and rural). Design, Setting, and Participants/UNASSIGNED:This is a national cohort study of 4 100 650 US veterans without type 2 diabetes. Participants entered the cohort between 2008 and 2016 and were followed up through 2018. The median (IQR) duration of follow-up was 5.5 (2.6-9.8) person-years. Data were obtained from Veterans Affairs electronic health records. Incident type 2 diabetes was defined as 2 encounters with type 2 diabetes International Classification of Diseases, Ninth Revision or Tenth Revision codes, a prescription for diabetes medication other than metformin or acarbose alone, or 1 encounter with type 2 diabetes International Classification of Diseases Ninth Revision or Tenth Revision codes and 2 instances of elevated hemoglobin A1c (≥6.5%). Data analysis was performed from October 2020 to March 2021. Exposures/UNASSIGNED:Five-year mean counts of fast-food restaurants and supermarkets relative to other food outlets at baseline were used to generate neighborhood food environment measures. The association between food environment and time to incident diabetes was examined using piecewise exponential models with 2-year interval of person-time and county-level random effects stratifying by community types. Results/UNASSIGNED:The mean (SD) age of cohort participants was 59.4 (17.2) years. Most of the participants were non-Hispanic White (2 783 756 participants [76.3%]) and male (3 779 555 participants [92.2%]). The relative density of fast-food restaurants was positively associated with a modestly increased risk of type 2 diabetes in all community types. The adjusted hazard ratio (aHR) was 1.01 (95% CI, 1.00-1.02) in high-density urban communities, 1.01 (95% CI, 1.01-1.01) in low-density urban communities, 1.02 (95% CI, 1.01-1.03) in suburban communities, and 1.01 (95% CI, 1.01-1.02) in rural communities. The relative density of supermarkets was associated with lower type 2 diabetes risk only in suburban (aHR, 0.97; 95% CI, 0.96-0.99) and rural (aHR, 0.99; 95% CI, 0.98-0.99) communities. Conclusions and Relevance/UNASSIGNED:These findings suggest that neighborhood food environment measures are associated with type 2 diabetes among US veterans in multiple community types and that food environments are potential avenues for action to address the burden of diabetes. Tailored interventions targeting the availability of supermarkets may be associated with reduced diabetes risk, particularly in suburban and rural communities, whereas restrictions on fast-food restaurants may help in all community types.

Evidence-based and culturally relevant parenting programs strengthen adults' capacity to support children's health and development. Optimizing parent participation in programs implemented at scale is a prevailing challenge. Our collaborative team of program developers, implementers, and researchers applied insights from the field of behavioral economics (BE) to support parent participation in ParentCorps-a family-centered program delivered as an enhancement to pre-kindergarten-as it scaled in a large urban school district. We designed a bundle of BE-infused parent outreach materials and successfully showed their feasibility in site-level randomized pilot implementation. The site-level study did not show a statistically significant impact on family attendance. A sub-study with a family-level randomization design showed that varying the delivery time of BE-infused digital outreach significantly increased the likelihood of families attending the parenting program. Lessons on the potential value of a BE-infused approach to support outreach and engagement in parenting programs are discussed in the context of scaling up efforts.

BACKGROUND:Older adults undergoing noncardiac surgery have a high risk of major adverse cardiovascular events (MACE). This study aims to estimate the magnitude of increased perioperative risk, and examine national trends in perioperative MACE following in-hospital noncardiac surgery in older adults compared to middle-aged adults. DESIGN/METHODS:Time-series analysis of retrospective longitudinal data. SETTING/METHODS:The United States Agency for Healthcare Research and Quality National Inpatient Sample (NIS). PARTICIPANTS/METHODS:Hospitalizations for major noncardiac surgery among adults age ≥45 years between January 2004 and December 2014. MEASUREMENTS/METHODS:Inpatient perioperative MACE was defined as a composite of in-hospital death, myocardial infarction (MI), and ischemic stroke. In hospital death was determined from the NIS discharge disposition. MI and ischemic stroke were defined by International Classification of Diseases, Ninth Revision codes. RESULTS:Of an estimated 55,349,978 surgical hospitalizations, 26,423,039 (47.7%) were for adults age 45-64, 14,231,386 (25.7%) age 65-74, 10,621,029 (19.2%) age 75-84 years, and 4,074,523 (7.4%) age ≥85 years. MACE occurred in 1,601,022 surgical hospitalizations (2.9%). Adults 65-74 (2.8%; aOR 1.16, 95% CI 1.14-1.17), 75-84 years (4.5%; aOR 1.30, 95% CI 1.28-1.32), and ≥85 years (6.9%; aOR 1.55, 95% CI 1.52-1.57) had greater risk of MACE than those 45-64 years (1.7%). From 2004 to 2014, MACE declined among adults 65-74 (3.1-2.5%, p < 0.001), 75-85 years (4.9-3.9%, p < 0.001), and ≥85 years (7.7-6.1%, p < 0.001), but was unchanged for adults age 45-64. Declines in MACE were driven by decreased MI and mortality despite increased stroke. CONCLUSION/CONCLUSIONS:Older adults accounted for half of hospitalizations, but experienced the majority of MACE. Older adults had greater adjusted odds of MACE than younger individuals. The proportion of perioperative MACE declined over time, despite increases in ischemic stroke. These data highlight risks of noncardiac surgery in older adults that warrant increased attention to improve perioperative outcomes.

INTRODUCTION/BACKGROUND:Cardiovascular disease is the leading cause of death worldwide, and cardiovascular disease burden is increasing in low-resource settings and for lower socioeconomic groups. Machine learning algorithms are being developed rapidly and incorporated into clinical practice for cardiovascular disease prediction and treatment decisions. Significant opportunities for reducing death and disability from cardiovascular disease worldwide lie with accounting for the social determinants of cardiovascular outcomes. This study reviews how social determinants of health are being included in machine learning algorithms to inform best practices for the development of algorithms that account for social determinants. METHODS:A systematic review using 5 databases was conducted in 2020. English language articles from any location published from inception to April 10, 2020, which reported on the use of machine learning for cardiovascular disease prediction that incorporated social determinants of health, were included. RESULTS:Most studies that compared machine learning algorithms and regression showed increased performance of machine learning, and most studies that compared performance with or without social determinants of health showed increased performance with them. The most frequently included social determinants of health variables were gender, race/ethnicity, marital status, occupation, and income. Studies were largely from North America, Europe, and China, limiting the diversity of the included populations and variance in social determinants of health. DISCUSSION/CONCLUSIONS:Given their flexibility, machine learning approaches may provide an opportunity to incorporate the complex nature of social determinants of health. The limited variety of sources and data in the reviewed studies emphasize that there is an opportunity to include more social determinants of health variables, especially environmental ones, that are known to impact cardiovascular disease risk and that recording such data in electronic databases will enable their use.

INTRODUCTION:In ED patients with acute drug overdose involving prescription medication and/or substances of abuse, severe QTc prolongation (> 500 ms) is predictive of adverse cardiovascular events (ACVE), defined as myocardial injury, ventricular dysrhythmia, shock, or cardiac arrest. However, it is unclear whether delayed severe QTc prolongation (dsQTp) is a risk factor for ACVE and if specific clinical factors are associated with occurrence of dsQTp. METHODS:A secondary analysis of a prospective cohort of consecutive adult ED patients with acute drug overdose was performed on patients with initial QTc < 500 ms. The predictor variable, dsQTp, was defined as initial QTc < 500 ms followed by repeat QTc ≥ 500 ms. The primary outcome was occurrence of ACVE. Multivariable logistic regression was performed to test whether dsQTp was an independent predictor of ACVE and to derive clinical factors associated with dsQTp. RESULTS:Of 2311 patients screened, 1648 patients were included. The dsQTp group (N = 27) was older than the control group (N = 1621) (51.6 vs 40.2, p < 0.001) and had a higher number of drug exposures (2.92 vs 2.16, p = 0.003). Following adjustment for age, sex, race/ethnicity, number of exposures, serum potassium, and opioid exposure, dsQTp remained an independent predictor of ACVE (aOR: 12.44, p < 0.0001). Clinical factors associated with dsQTp were age > 45 years and polydrug (≥ 3) overdoses. CONCLUSION:In this large secondary analysis of ED patients with acute drug overdose, dsQTp was an independent risk factor for in-hospital occurrence of ACVE.

Objective/UNASSIGNED:The study examined whether mother-child reciprocity across increasingly challenging contexts moderated the association between household chaos and early childhood behavior problems. Background/UNASSIGNED:Living in a chaotic household is associated with behavioral dysregulation in childhood. An important goal in discordant household contexts is to establish positive aspects of relationships that are associated with more favorable developmental outcomes. Method/UNASSIGNED:The study analyzed data from 127 mother-child dyads participating in the 3-year visit in a study of primarily low-income, African American/Black families in urban areas. Dyads were videotaped during three successive, increasingly challenging, interaction tasks. Multiple regression analyses examined household chaos, dyadic reciprocity, and the interplay of those as predictors of behavior problems. Results/UNASSIGNED:Greater household chaos was associated with more internalizing and externalizing behavior problems. Moderation analyses indicated that dyadic reciprocity during two challenging interaction tasks (but not during free play) attenuated the association between household chaos and internalizing problems. Conclusions/UNASSIGNED:Household chaos was not associated with internalizing problems among dyads who had a connected, supportive relationship in more challenging interactive contexts. Implications/UNASSIGNED:Improving shared positive affect and dyadic harmony in the parent-child relationship may help protect young children against the negative influence of chaotic contexts.

Chronic kidney disease (CKD) affects 15-20% of adults globally and causes various complications, one of the most important being cardiovascular disease (CVD). CKD has been associated with many CVD subtypes, especially severe ones like heart failure, independent of potential confounders such as diabetes and hypertension. There is no consensus in major clinical guidelines as to how to incorporate the two key measures of CKD (glomerular filtration rate and albuminuria) for CVD risk prediction. This is a critical missed opportunity to appropriately refine predicted risk and personalize prevention therapies according to CKD status, particularly since these measures are often already evaluated in clinical care. In this review, we provide an overview of CKD definition and staging, the subtypes of CVD most associated with CKD, major pathophysiological mechanisms, and the current state of CKD as a predictor of CVD in major clinical guidelines. We will introduce the novel concept of a "CKD Add-on", which allows the incorporation of CKD measures in existing risk prediction models, and the implications of taking into account CKD in the management of CVD risk.

INTRODUCTION:Hearing impairment is associated with poor cognitive test performance in older adults. However, hearing's impact on cognitive test completion is poorly described, and missing cognitive data due to hearing impairment could misestimate the association. METHODS:We investigated if hearing impairment is associated with missing neurocognitive scores in 3678 adults (72-94 years). Hearing impairment was defined by the better-ear pure tone average of speech-frequency thresholds (0.5-4 kHz) >25 decibels. RESULTS:Hearing impairment was associated with greater missingness on all auditory-only tests, including Logical Memory (prevalence ratio [PR] comparing ≥ moderate impairment vs normal hearing:1.68, 95% confidence interval [CI] 1.26, 2.25) and Digits Backwards (PR 1.62; 95% CI 1.21, 2.17); and two non-auditory tests, Boston Naming (PR 1.61; 95% CI 1.21, 2.17) and Trail Making B (PR 1.55; 95% CI 1.29, 1.86). Models that imputed missing cognitive scores showed the strongest hearing-cognition associations. DISCUSSION:Older adults with hearing impairment are less likely to complete cognitive testing, thereby underestimating the hearing impairment-cognition relationship.

STUDY OBJECTIVE/OBJECTIVE:Input from adolescents and healthcare providers is needed to develop electronic tools that can support patient-centered sexual and reproductive (SRH) care. This study explores facilitators and barriers to patient-centered communication in the context of developing an electronic appointment planning tool to promote SRH communication in clinic settings. DESIGN/METHODS:In-depth interviews were conducted to explore what constitutes adolescent-friendly SRH care and communication, as well as on the design of the appointment planning tool. Interviews were coded iteratively, and analyzed using the software Atlas.TI v8. SETTING/METHODS:An adolescent primary care clinic, and a pediatric and adolescent gynecology clinic. PARTICIPANTS/METHODS:Adolescent girls (N=32; ages 14-18) and providers who care for adolescent girls (N=10). MAIN OUTCOME MEASURES/METHODS:Thematic analyses explored facilitators/barriers to SRH communication and care and preferences for the tool. RESULTS:Facilitators identified by adolescents and providers included: direct patient/provider communication; adolescent-driven decision-making regarding care and contraceptive choice; supplementing clinic visits with electronic resources; and holistic care addressing physical, mental, and social needs. Barriers identified by participants included: limited time for appointments; limited adolescent autonomy in appointments; and poor continuity of care when adolescents cannot see the same provider. Given the complexity of issues raised, adolescents and providers were interested in developing an appointment planning tool to guide communication during appointments, and contributed input on its design. The resulting Appointment Planning Tool app pilot is in progress. CONCLUSIONS:Qualitative interviews with adolescents and providers offer critical insights for the development and implementation of mobile health (mHealth) tools that can foster patient-centered care.