Faculty Bibliography

Background Heart failure with preserved ejection fraction (HFpEF) accounts for half of heart failure hospitalizations, with limited data on predictors of mortality by sex and race. We evaluated for differences in predictors of all-cause mortality by sex and race among hospitalized patients with HFpEF in the ARIC (Atherosclerosis Risk in Communities) Community Surveillance Study. Methods and Results Adjudicated HFpEF hospitalization events from 2005 to 2013 were analyzed from the ARIC Community Surveillance Study, comprising 4 US communities. Comparisons between clinical characteristics and mortality at 1 year were made by sex and race. Of 4335 adjudicated acute decompensated heart failure cases, 1892 cases (weighted n=8987) were categorized as HFpEF. Men had an increased risk of 1-year mortality compared with women in adjusted analysis (hazard ratio [HR], 1.27; 95% CI, 1.06-1.52 [P=0.01]). Black participants had lower mortality compared with White participants in unadjusted and adjusted analyses (HR, 0.79; 95% CI, 0.64-0.97 [P=0.02]). Age, heart rate, worsening renal function, and low hemoglobin were associated with increased mortality in all subgroups. Higher body mass index was associated with improved survival in men, with borderline interaction by sex. Higher blood pressure was associated with improved survival among all groups, with significant interaction by race. Conclusions In a diverse HFpEF population, men had worse survival compared with women, and Black participants had improved survival compared with White participants. Age, heart rate, and worsening renal function were associated with increased mortality across all subgroups; high blood pressure was associated with decreased mortality with interaction by race. These insights into sex- and race-based differences in predictors of mortality may help strategize targeted management of HFpEF.

BACKGROUND:Diabetes prevalence and incidence vary by neighborhood socioeconomic environment (NSEE) and geographic region in the United States. Identifying modifiable community factors driving type 2 diabetes disparities is essential to inform policy interventions that reduce the risk of type 2 diabetes. OBJECTIVE:This paper aims to describe the Diabetes Location, Environmental Attributes, and Disparities (LEAD) Network, a group funded by the Centers for Disease Control and Prevention to apply harmonized epidemiologic approaches across unique and geographically expansive data to identify community factors that contribute to type 2 diabetes risk. METHODS:The Diabetes LEAD Network is a collaboration of 3 study sites and a data coordinating center (Drexel University). The Geisinger and Johns Hopkins University study population includes 578,485 individuals receiving primary care at Geisinger, a health system serving a population representative of 37 counties in Pennsylvania. The New York University School of Medicine study population is a baseline cohort of 6,082,146 veterans who do not have diabetes and are receiving primary care through Veterans Affairs from every US county. The University of Alabama at Birmingham study population includes 11,199 participants who did not have diabetes at baseline from the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study, a cohort study with oversampling of participants from the Stroke Belt region. RESULTS:The Network has established a shared set of aims: evaluate mediation of the association of the NSEE with type 2 diabetes onset, evaluate effect modification of the association of NSEE with type 2 diabetes onset, assess the differential item functioning of community measures by geographic region and community type, and evaluate the impact of the spatial scale used to measure community factors. The Network has developed standardized approaches for measurement. CONCLUSIONS:The Network will provide insight into the community factors driving geographical disparities in type 2 diabetes risk and disseminate findings to stakeholders, providing guidance on policies to ameliorate geographic disparities in type 2 diabetes in the United States. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)/UNASSIGNED:DERR1-10.2196/21377.

Importance/UNASSIGNED:Children of parents expressing limited comfort with English (LCE) or limited English proficiency may be at increased risk of adverse events (harms due to medical care). No prior studies have examined, in a multicenter fashion, the association between language comfort or language proficiency and systematically, actively collected adverse events that include family safety reporting. Objective/UNASSIGNED:To examine the association between parent LCE and adverse events in a cohort of hospitalized children. Design, Setting, and Participants/UNASSIGNED:This multicenter prospective cohort study was conducted from December 2014 to January 2017, concurrent with data collection from the Patient and Family Centered I-PASS Study, a clinician-family communication and patient safety intervention study. The study included 1666 Arabic-, Chinese-, English-, and Spanish-speaking parents of general pediatric and subspecialty patients 17 years and younger in the pediatric units of 7 North American hospitals. Data were analyzed from January 2018 to May 2020. Exposures/UNASSIGNED:Language-comfort data were collected through parent self-reporting. LCE was defined as reporting any language besides English as the language in which parents were most comfortable speaking to physicians or nurses. Main Outcomes and Measures/UNASSIGNED:The primary outcome was adverse events; the secondary outcome was preventable adverse events. Adverse events were collected using a systematic 2-step methodology. First, clinician abstractors reviewed patient medical records, solicited clinician reports, hospital incident reports, and family safety interviews. Then, review and consensus classification were completed by physician pairs. To examine the association of LCE with adverse events, a multivariable logistic regression was conducted with random intercepts to adjust for clustering by site. Results/UNASSIGNED:Of 1666 parents providing language-comfort data, 1341 (80.5%) were female, and the mean (SD) age of parents was 35.4 (10.0) years. A total of 147 parents (8.8%) expressed LCE, most of whom (105 [71.4%]) preferred Spanish. Children of parents who expressed LCE had higher odds of having 1 or more adverse events compared with children whose parents expressed comfort with English (26 of 147 [17.7%] vs 146 of 1519 [9.6%]; adjusted odds ratio, 2.1; 95% CI, 1.2-3.7), after adjustment for parent race and education, complex chronic conditions, length of stay, site, and the intervention period. Similarly, children whose parents expressed LCE were more likely to experience 1 or more preventable adverse events (adjusted odds ratio, 2.3; 95% CI, 1.2-4.2). Conclusions and Relevance/UNASSIGNED:Hospitalized children of parents expressing LCE were twice as likely to experience harms due to medical care. Targeted strategies are needed to improve communication and safety for this vulnerable group of children.

BACKGROUND:A variety of substance use-related topics are discussed in the public discourse; however, it is unknown how public discussion of published substance-related findings relates to manuscript downloads and citations. This manuscript examines how traditional and social media coverage of published findings about substance use affects downloads and scientific citations. METHODS:percentile of downloads and citations. RESULTS:73.3 % of articles were shared on Twitter, 23.6 % were shared on Facebook, and 13.9 % were covered in news sources (with 4.0 % receiving major media coverage). Epidemiology papers were among the most covered in the news, and e-cigarette review papers were among the most downloaded. News and social media coverage were positively associated with number of downloads and citations in bivariable models and with achieving the top 10 % of downloads and citations in multivariable models (ps < .001). Publishing a press release was associated with higher likelihood of receiving additional news coverage (aPR = 7.85, 95 % CI: 5.15-11.97). CONCLUSIONS:Traditional and social media coverage of manuscripts focusing on substance use are associated with more downloads and citations. Researchers should consider sharing findings not only to increase downloads and citations but also to educate the general public.

BACKGROUND:Rigorous analysis of levels and trends in exposure to leading risk factors and quantification of their effect on human health are important to identify where public health is making progress and in which cases current efforts are inadequate. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a standardised and comprehensive assessment of the magnitude of risk factor exposure, relative risk, and attributable burden of disease. METHODS:GBD 2019 estimated attributable mortality, years of life lost (YLLs), years of life lived with disability (YLDs), and disability-adjusted life-years (DALYs) for 87 risk factors and combinations of risk factors, at the global level, regionally, and for 204 countries and territories. GBD uses a hierarchical list of risk factors so that specific risk factors (eg, sodium intake), and related aggregates (eg, diet quality), are both evaluated. This method has six analytical steps. (1) We included 560 risk-outcome pairs that met criteria for convincing or probable evidence on the basis of research studies. 12 risk-outcome pairs included in GBD 2017 no longer met inclusion criteria and 47 risk-outcome pairs for risks already included in GBD 2017 were added based on new evidence. (2) Relative risks were estimated as a function of exposure based on published systematic reviews, 81 systematic reviews done for GBD 2019, and meta-regression. (3) Levels of exposure in each age-sex-location-year included in the study were estimated based on all available data sources using spatiotemporal Gaussian process regression, DisMod-MR 2.1, a Bayesian meta-regression method, or alternative methods. (4) We determined, from published trials or cohort studies, the level of exposure associated with minimum risk, called the theoretical minimum risk exposure level. (5) Attributable deaths, YLLs, YLDs, and DALYs were computed by multiplying population attributable fractions (PAFs) by the relevant outcome quantity for each age-sex-location-year. (6) PAFs and attributable burden for combinations of risk factors were estimated taking into account mediation of different risk factors through other risk factors. Across all six analytical steps, 30 652 distinct data sources were used in the analysis. Uncertainty in each step of the analysis was propagated into the final estimates of attributable burden. Exposure levels for dichotomous, polytomous, and continuous risk factors were summarised with use of the summary exposure value to facilitate comparisons over time, across location, and across risks. Because the entire time series from 1990 to 2019 has been re-estimated with use of consistent data and methods, these results supersede previously published GBD estimates of attributable burden. FINDINGS:The largest declines in risk exposure from 2010 to 2019 were among a set of risks that are strongly linked to social and economic development, including household air pollution; unsafe water, sanitation, and handwashing; and child growth failure. Global declines also occurred for tobacco smoking and lead exposure. The largest increases in risk exposure were for ambient particulate matter pollution, drug use, high fasting plasma glucose, and high body-mass index. In 2019, the leading Level 2 risk factor globally for attributable deaths was high systolic blood pressure, which accounted for 10·8 million (95% uncertainty interval [UI] 9·51-12·1) deaths (19·2% [16·9-21·3] of all deaths in 2019), followed by tobacco (smoked, second-hand, and chewing), which accounted for 8·71 million (8·12-9·31) deaths (15·4% [14·6-16·2] of all deaths in 2019). The leading Level 2 risk factor for attributable DALYs globally in 2019 was child and maternal malnutrition, which largely affects health in the youngest age groups and accounted for 295 million (253-350) DALYs (11·6% [10·3-13·1] of all global DALYs that year). The risk factor burden varied considerably in 2019 between age groups and locations. Among children aged 0-9 years, the three leading detailed risk factors for attributable DALYs were all related to malnutrition. Iron deficiency was the leading risk factor for those aged 10-24 years, alcohol use for those aged 25-49 years, and high systolic blood pressure for those aged 50-74 years and 75 years and older. INTERPRETATION:Overall, the record for reducing exposure to harmful risks over the past three decades is poor. Success with reducing smoking and lead exposure through regulatory policy might point the way for a stronger role for public policy on other risks in addition to continued efforts to provide information on risk factor harm to the general public. FUNDING:Bill & Melinda Gates Foundation.

BACKGROUND:Most pregnant women are exposed to bisphenols, a group of chemicals that can interfere with various components of the thyroid system. OBJECTIVES/OBJECTIVE:To investigate the association of maternal urinary bisphenol concentrations during pregnancy with maternal, newborn and early childhood thyroid function. METHODS:This study was embedded in Generation R, a prospective, population-based birth cohort (Rotterdam, the Netherlands). Maternal urine samples were analyzed for eight bisphenols at early (<18), mid (18-25) and late (>25 weeks) pregnancy. Maternal serum thyroid stimulating hormone (TSH), free thyroxine (FT4) and total thyroxine (TT4) were measured in early pregnancy and child TSH and FT4 were measured in cord blood and childhood. RESULTS: = 0.08). DISCUSSION/CONCLUSIONS:Our findings show that exposure to bisphenols may interfere with the thyroid system during pregnancy. Furthermore, the potential developmental toxicity of exposure to bisphenols during pregnancy could affect the thyroid system in the offspring in a sex-specific manner.

Objectives/UNASSIGNED:In 2014, the American College of Obstetrics and Gynecology published guidelines for diagnosing failed induction of labor (FIOL) and arrest of dilation (AOD) to prevent cesarean delivery (CD). The objectives of this study were to determine the rate of adherence to these guidelines and to compare the association of guideline adherence with physician CD rates and obstetric/neonatal outcomes. Methods/UNASSIGNED:Retrospective cohort review of singleton primary cesarean deliveries for FIOL and AOD at a single academic institution from 2014 to 2016. Univariate and multivariate analyses were used to compare adherence to the guidelines with physician CD rates and obstetric/neonatal outcomes. Results/UNASSIGNED:Of the 591 cesarean deliveries in the study, 263 were for failed induction, 328 for AOD and 79% (468/591) were not adherent to the American College of Obstetricians and Gynecologists and the Society for Maternal-Fetal Medicine (ACOG/SMFM) guidelines. Of the failed inductions, 82% (215/263) and of the AODs 77% (253/328) were not adherent. There was no difference between adherent and non-adherent CDs with regard to maternal characteristics, or obstetric/neonatal outcomes. Duration of oxytocin use after rupture of membranes, dilation at time of CD, and birth weight were statistically higher in adherent CDs. On multivariate linear regression, physician CD rates were inversely correlated with adherence to ACOG/SMFM guidelines (p<0.0001), gestational age (p=0.007), and parity (p=0.003). Conclusions/UNASSIGNED:Our study shows that physician non-compliance with ACOG guidelines was high. Adherence to these guidelines was associated with lower physician CD rates, without an increase in obstetric or neonatal complications.

Few studies have conducted analysis of commercially available smartphone applications designed to promote alcohol and illicit substance use. The aim of this review is to determine harmful themes of content in applications promoting alcohol and illicit substance use found using recovery app search terms. A systematic search, via Apple iTunes and Google Play stores, was conducted of applications targeting abstinence or reduced substance use in online app stores (n = 1,074 apps) in March 2018. We conducted a secondary analysis of apps encouraging alcohol and illicit substance use in July 2018. Our initial search yielded 904 apps pertaining to alcohol and illicit substance use. Four reviewers conducted a content analysis of 102 apps meeting inclusion criteria and assessed app design, delivery features, text, and multimedia content pertaining to substance use. The initial coding scheme was refined using a data-driven, iterative method grouping in thematic categories. The number of apps coded to a specific substance include: alcohol (n = 74), methamphetamine (n =13), cocaine (n = 15), heroin (n = 12), and marijuana (n = 15), with nine apps overlapping more than one substance. Key themes identified among apps included: (i) tangibility (alcohol home delivery services); (ii) social networks (builtin social media platforms promoting substance use); (iii) software design (gamification or simulation of substance use); and (iv) aesthetics (sexual or violent imagery). Despite claims of restricting apps promoting substance use, further efforts are needed by online app stores to reduce the availability of harmful content.