PFAS Levels, Early Life Factors, and Mammographic Breast Density in Premenopausal Women.

BACKGROUND: Mammographic breast density (MBD) is a strong risk factor and an intermediate phenotype for breast cancer, yet there are limited studies on how environmental pollutants are associated with MBD. OBJECTIVE: We investigated associations of perfluorooctane sulfonate (PFOS), perfluorooctanoic acid (PFOA), and perfluorohexane sulfonate (PFHxS) levels with measures of MBD and evaluated if early life factors modified any associations. METHODS: Metabolon performed metabolomics analysis using ultrahigh-performance liquid chromatography/tandem accurate mass spectrometry in fasting blood from 705 premenopausal women completing their annual screening mammogram in St. Louis, Missouri. We calculated least square means (LSM) of mammographic volumetric percent density (VPD), dense volume (DV), and nondense volume (NDV) by quartiles (Q) of PFOS, PFOA, and PFHxS from multivariable linear regression modeling overall and stratified by recruitment period, race, age at menarche, and body shape at age 10. Models were adjusted for age, age at menarche, body fat percentage, race, family history of breast cancer, oral contraceptive use, alcohol consumption, parity/age at first birth, and body shape at age 10. RESULTS: PFOS, PFOA, and PFHxS were not significantly associated with VPD or NDV. PFHxS was significantly positively associated with DV (Q1=67.64 cm3, Q2=69.91 cm3, Q3=69.06 cm3, Q4=75.79 cm3; p-trend=0.03). PFOS was positively associated with DV (Q1=65.45 cm3, Q2=70.74 cm3, Q3=73.31 cm3, Q4=73.52 cm3; p-trend=0.06) with DV being 8.1%, 12%, and 12.3% higher in Q2, Q3, and Q4 compared to Q1. Among women who were underweight/normal weight at age 10, PFOS was positively associated with VPD (Q1=9.02%, Q2=9.11%, Q3=9.48%, Q4=9.92%; p-trend=0.04) while there was an inverse association among women who were overweight/obese at age 10 (Q1=7.46%, Q2=6.94%, Q3=6.78%, Q4=5.47%; p-trend=0.005) (p-interaction=0.04). DISCUSSION: We report novel associations of PFHxS and PFOS with DV in premenopausal women. PFOS, PFOA, and PFHxS were not associated with VPD and NDV. In addition, body shape at age 10 may modify the associations of PFOS with MBD. Further studies are needed to validate our findings and to evaluate the associations of other per- and polyfluoroalkyl substances (PFAS), as well as mixtures of PFAS, with MBD. https://doi.org/10.1289/EHP14065.

Pediatric Primary Care Provider Perspectives on Universal Suicide Screening.

INTRODUCTION: Given the increase in youth mental health concerns, the American Academy of Pediatrics (AAP) recommends universal suicide screening for ages 12 and older, with positive screens followed by a brief suicide risk assessment. However, it is unclear how pediatric clinicians incorporate this recommendation into practice. Therefore, the objective of this qualitative study was to identify pediatric clinicians' current practice, attitudes, and barriers to implement the updated universal suicide screening recommendation in primary care. METHODS: Community-based pediatric primary care providers (PCPs) in the St. Louis Metropolitan area who by self-report provide mental health care for patients participated. Participants completed a 30-minute semi-structured interview with invitations extended through an electronic listserv in a local Pediatric PCP Learning Collaborative. Interviews were transcribed and analyzed using consensual deductive and inductive approaches until data saturation. RESULTS: Eighteen PCPs participated in the interviews. Interviews described themes related to acceptability of the recommendations, PCPs' current screening practices, and perceived barriers for implementing the recommendations. Overall, PCPs agreed with, but expressed hesitancy about, the recommendation. Frequently mentioned barriers to suicide screening included time, training, and inadequate access to resources for follow-up care for at-risk patients. Yet, PCPs were optimistic they could learn with support and were interested in working in this subject area through quality improvement interventions. CONCLUSIONS: PCPs agree with the AAP recommendation about suicide screening but need support to implement into practice. Specifically, PCPs need time sensitive strategies, resources, training, and practice change support to assist these efforts.

School knowledge of infectious diseases in schools: conducting surveillance and on-demand, symptomatic respiratory viral testing in a large pre-kindergarten-12th grade school district.

Background: Limited data about acute respiratory illness (ARI) and respiratory virus circulation are available in congregate community settings, specifically schools. To better characterize the epidemiology of ARI and respiratory viruses in schools, we developed School Knowledge of Infectious Diseases in Schools (School KIDS). Methods: School KIDS is a prospective, respiratory viral testing program in a large metropolitan school district (pre-kindergarten-12th grade) in Kansas City, Missouri. During the 2022-2023 school year, all students and staff were eligible to participate in surveillance respiratory viral testing at school by submitting observed self-administered nasal swabs monthly. Participants could also submit a nasal swab for on-demand symptomatic testing when experiencing ≥1 ARI symptom, including cough, fever, nasal congestion, runny nose, shortness of breath, sore throat, and/or wheezing. Swabs were tested in a research laboratory using multipathogen respiratory polymerase chain reaction assays. Participants were evaluated for ongoing viral shedding by collecting two weekly nasal swabs (i.e., convalescent), following initial on-demand symptomatic testing. Participants were asked to complete an electronic survey to capture the presence and type of ARI symptom(s) before the collection of respiratory swabs. Results: From 31 October 2022 to 29 June 2023, School KIDS enrolled 978 participants, including 700 students, representing 3.4% of the district student population, and 278 staff members. Participants submitted a median of six surveillance, one symptomatic, and two convalescent specimens during the study period. A total of 6,315 respiratory specimens, including 4,700 surveillance, 721 on-demand symptomatic, and 894 convalescent specimens, were tested. Overall, a virus was detected in 1,168 (24.9%) surveillance and 363 (50.3%) symptomatic specimens. Of the 5,538 symptom surveys sent to participants before scheduled surveillance testing, 4,069 (73.5%) were completed; ARI symptoms were reported on 1,348 (33.1%) surveys. Conclusion: Respiratory surveillance testing in schools is feasible and provides novel information about respiratory virus detections in students and staff attending school. Schools are an important community setting, and better knowledge of respiratory virus circulation in schools may be useful to identify respiratory virus transmission in the community and assess the impact of effective infection prevention measures.

Racial Composition of Past and Current Social Environments and Health Literacy.

BACKGROUND: Research is needed to understand the impact of social determinants of health on health literacy throughout the life course. This study examined how racial composition of multiple past and current social environments was related to adults' health literacy. METHODS: In this study, 546 adult patients at a primary care clinic in St. Louis, Missouri, completed a self-administered written questionnaire that assessed demographic characteristics and a verbally administered component that assessed health literacy with the Rapid Estimate of Adult Literacy in Medicine - Revised (REALM-R) and Newest Vital Sign (NVS), and self-reported racial composition of six past and four current social environments. Multilevel logistic regression models were built to examine the relationships between racial composition of past and current social environments and health literacy. RESULTS: Most participants identified as Black or multiracial (61%), had a high school diploma or less (54%), and household income <$20,000 (72%). About 56% had adequate health literacy based on REALM-R and 38% based on NVS. In regression models, participants with multiple past white environments (e.g., locations/conditions in which most of the people who live, go to school, work, and have leisure time are White) and (vs. 0 or 1) were more likely to have adequate health literacy based on REALM-R (adjusted odds ratio [aOR] = 1.79; 95% confidence interval [CI]: 1.04-3.07). Similarly, participants who had multiple past white social environments were more likely (aOR = 1.94, 95% CI: 1.15-3.27) to have adequate health literacy based on NVS than those who had not. The racial composition of current social environments was not significantly associated with health literacy in either model. CONCLUSIONS: Racial composition of past, but not current, educational and residential social environments was significantly associated with adult health literacy. The results highlight the importance of examining the impact of social determinants over the life course on health literacy. The findings suggest that policies ensuring equitable access to educational resources in school and community contexts is critical to improving equitable health literacy. [HLRP: Health Literacy Research and Practice. 2024;8(3):e130-e139.].

PLAIN LANGUAGE SUMMARY: We studied how the racial make-up of past and current places where people live, work, and go to school were related to their health literacy as adults. We found that the racial make-up of past places, but not current places, was related to health literacy. Our results show the need to study the impact of childhood places on health literacy.

Advocating for transportation equity: A critical examination of paratransit service reductions in St. Louis and its impact on health and community social participation.

Social participation is associated with better health, quality of life, physical activity, and engagement in community living and is thus an emerging health priority. Transportation plays an important role in facilitating social participation. Our team recently reported in the Journal of Disability and Health that Missouri-dwelling adults aging with long-term physical disabilities who use paratransit services as their primary transportation mode are more likely to participate in social roles and activities outside the home compared to those who do not use paratransit. In March of 2023, the paratransit company Metro Call-A-Ride that serves St. Louis announced major scale backs to their coverage zones due in part to staffing shortages. This decision has been met with a formal complaint filed to the U.S. Department of Justice as well as protest from the St. Louis disability community and advocates. Thousands of individuals who relied on Call-A-Ride for their routine community outings-to work, grocery stores, or medical appointments, for example-have been affected by the cuts. In this commentary, we will summarize the media coverage this decision has received, including the perspectives of disability rights advocates and individuals who have been directly affected. We will then present an overview of our original research findings in the context of these recent events and a brief synthesis of existing literature on paratransit services in the U.S. The commentary will end with proposed policy, research, and programming solutions for St. Louis's Metro Call-A-Ride and public transportation at large.

Machine learning classification of new firearm injury encounters in the St Louis region: 2010-2020.

OBJECTIVES: To improve firearm injury encounter classification (new vs follow-up) using machine learning (ML) and compare our ML model to other common approaches. MATERIALS AND METHODS: This retrospective study used data from the St Louis region-wide hospital-based violence intervention program data repository (2010-2020). We randomly selected 500 patients with a firearm injury diagnosis for inclusion, with 808 total firearm injury encounters split (70/30) for training and testing. We trained a least absolute shrinkage and selection operator (LASSO) regression model with the following predictors: admission type, time between firearm injury visits, number of prior firearm injury emergency department (ED) visits, encounter type (ED or other), and diagnostic codes. Our gold standard for new firearm injury encounter classification was manual chart review. We then used our test data to compare the performance of our ML model to other commonly used approaches (proxy measures of ED visits and time between firearm injury encounters, and diagnostic code encounter type designation [initial vs subsequent or sequela]). Performance metrics included area under the curve (AUC), sensitivity, and specificity with 95% confidence intervals (CIs). RESULTS: The ML model had excellent discrimination (0.92, 0.88-0.96) with high sensitivity (0.95, 0.90-0.98) and specificity (0.89, 0.81-0.95). AUC was significantly higher than time-based outcomes, sensitivity was slightly (but not significantly) lower than other approaches, and specificity was higher than all other methods. DISCUSSION: ML successfully delineated new firearm injury encounters, outperforming other approaches in ruling out encounters for follow-up. CONCLUSION: ML can be used to identify new firearm injury encounters and may be particularly useful in studies assessing re-injuries.

Social vulnerability and surgery outcomes: a cross-sectional analysis.

BACKGROUND: Post-operative complications present a challenge to the healthcare system due to the high unpredictability of their incidence. Socioeconomic conditions have been established as social determinants of health. However, their contribution relating to postoperative complications is still unclear as it can be heterogeneous based on community, type of surgical services, and sex and gender. Uncovering these relations can enable improved public health policy to reduce such complications. METHODS: In this study, we conducted a large population cross-sectional analysis of social vulnerability and the odds of various post-surgical complications. We collected electronic health records data from over 50,000 surgeries that happened between 2012 and 2018 at a quaternary health center in St. Louis, Missouri, United States and the corresponding zip code of the patients. We built statistical logistic regression models of postsurgical complications with the social vulnerability index of the tract consisting of the zip codes of the patient as the independent variable along with sex and race interaction. RESULTS: Our sample from the St. Louis area exhibited high variance in social vulnerability with notable rapid increase in vulnerability from the south west to the north of the Mississippi river indicating high levels of inequality. Our sample had more females than males, and females had slightly higher social vulnerability index. Postoperative complication incidence ranged from 0.75% to 41% with lower incidence rate among females. We found that social vulnerability was associated with abnormal heart rhythm with socioeconomic status and housing status being the main association factors. We also found associations of the interaction of social vulnerability and female sex with an increase in odds of heart attack and surgical wound infection. Those associations disappeared when controlling for general health and comorbidities. CONCLUSIONS: Our results indicate that social vulnerability measures such as socioeconomic status and housing conditions could affect postsurgical outcomes through preoperative health. This suggests that the domains of preventive medicine and public health should place social vulnerability as a priority to achieve better health outcomes of surgical interventions.

Mate selection and current trends in the prevalence of autism.

BACKGROUND: According to the most recent U.S. CDC surveillance data, the rise in prevalence of childhood autism spectrum disorder among minority children has begun to outpace that of non-Hispanic white children. Since prior research has identified possible differences in the extent of mate selection for autistic traits across families of different ethnicity, this study examined variation in autism related traits in contemporaneous, epidemiologically ascertained samples of spousal pairs representing Hispanic and non-Hispanic white populations. The purpose was to determine whether discrepancies by ethnicity could contribute to differential increases in prevalence in the current generation of young children. METHODS: Birth records were used to identify all twin pairs born between 2011 and 2013 in California and Missouri. Families were selected at random from pools of English-speaking Hispanic families in California and Non-Hispanic White families in Missouri. Autistic trait data of parents was obtained using the Adult Report Form of the Social Responsiveness Scale (SRS-2). RESULTS: We did not identify a statistically significant difference in the degree of mate selection for autism related traits between Hispanic and non-Hispanic white spousal pairs. However, the degree of spousal correlation observed in this recent cohort was pronounced (on the order of ICC 0.45) and exceeded that typically reported in prior research (on the order of 0.30), surpassing also widely reported estimates for sibling correlation (also on the order of 0.30). LIMITATIONS: The sample did not allow for a direct appraisal of change in the magnitude of spousal correlation over time and the ascertainments of trait burden were derived from spouse report. CONCLUSION: Across two epidemiologically ascertained samples of spousal pairs representing Hispanic and non-Hispanic white families across two U.S. states (respectively, California and Missouri), the extent of autism-related trait co-variation for parents of the current generation of young children is substantial and exceeds correlations typically observed for siblings. Given the heritability of these traits and their relation to autism risk, societal trends in the degree of mate selection for these traits should be considered as possible contributors to subtle increases in the incidence of autism over time and across generations.

Who Benefits? A Mixed Methods Study Assessing Community Use of a Major Metropolitan Park During the COVID-19 Pandemic.

By providing spaces for recreation, physical activity, social gatherings, and time in nature, urban parks offer physical, mental, and social benefits to users. However, many urban residents face barriers to park use. The COVID-19 pandemic introduced new potential barriers to urban park access and use, including changes to daily life and employment, closure of park amenities and restrictions to public movement, and risk from the coronavirus itself. The mixed-methods PARCS study measured use and perceptions of a large urban park in St. Louis, Missouri before, during, and after local COVID-19 contingency measures and restrictions. We examine data from 1,157 direct observation assessments of park usership, an online survey of park users (n=561), interviews with key stakeholders (n=27), four focus groups (n=30), and a community-based participatory research sub-study (n=66) to comprehensively characterize the effects of the COVID-19 pandemic on park use. Park users who felt unsafe from the coronavirus experienced 2.65 higher odds of reducing park use. However, estimated park visits during COVID-19 contingency measures (n=5,023,759) were twice as high as post-contingency (n=2,277,496). Participants reported using the park for physical activity, recreation, time in nature, and socializing during the contingency period. Black, Hispanic/Latino, and young people were less likely to visit the park than others, suggesting an additional, disproportionate impact of the pandemic on minoritized and socioeconomically disadvantaged communities. This study highlights the role of public spaces like parks as resources for health and sites where urban health inequities can be alleviated in times of public crisis.

Missouri's Overdose Field Report: descriptive analysis, survival trends, and naloxone dosing patterns from a community-based survey tool, 2018-2022.

Background: Missouri's Overdose Field Report (ODFR) is a community-based reporting system which intends to capture overdoses which may not be otherwise recorded.Objectives: Describe the factors related to non-fatal overdoses reported to Missouri's ODFR.Methods: This study used a descriptive epidemiological approach to examine the demographics and circumstances of overdoses reported to the ODFR. We used binary logistic regression to evaluate factors associated with survival and ordinal logistic regression to evaluate factors associated with number of doses used. Factors were chosen based on their relevance to overdose education and survival, and naloxone distribution.Results: Between 2018 and 2022, 12,225 overdoses (67% male; 78% White) were reported through the ODFR, with a 96% (n = 11,225) survival rate. Overdose survival (ps < .02) was associated with younger age (OR = .58), no opioid and stimulant co-involvement (OR = .61), and private location (OR = .48). Intramuscular naloxone in particular was associated with a significantly higher odds of survival compared to nasal naloxone (OR = 2.11). An average of 1.6 doses of naloxone per incident were administered. Additional doses were associated (ps < .02) with being older (OR = .45), female (OR = .90), nasal naloxone (versus intravenous) (OR = .65), and the belief fentanyl was present (OR = 1.49).Conclusion: Our reporting form provides a comprehensive picture of the events surrounding reported overdoses, including factors associated with survival, how much naloxone was used, and the effects of respondents believing fentanyl was involved. Missouri's report can provide support for current naloxone dosing, contextualize refusing post-overdose transport, and can be used to improve overdose response by community and first responders.

Institutional Experience with Investigation and Service for Acute and Post-Traumatic Stress in the Pediatric Intensive Care Unit.

Acute stress, post-traumatic stress and burnout are all stress-related mental health problems common to patients, families, physicians, nurses, and allied health professionals across disciplines. They are particularly common in those who care for critically ill and injured children. Despite growing awareness of the pervasiveness of burnout and stress among healthcare workers and families in the pediatric intensive care unit, there remain important gaps in the knowledge of factors affecting the development of stress-related mental illnesses, how individual and institutional factors protect or exacerbate these problems, and effective measures to limit or mitigate them. Challenges exist in developing and maintaining institutional engagement with essentially non-revenue generating activities that require additional staff. For academic institutions, significant opportunities exist for cross-departmental collaboration. We describe our five-year experience developing a multidisciplinary group investigating these problems and providing interventions to professionals and families in the pediatric intensive care unit.

Managing the Mother-Baby Dyad Affected by Substance Disorder: A Statewide Quality Collaborative Initiative.

Neonatal abstinence syndrome (NAS)/Neonatal opioid withdrawal syndrome (NOWS) and substance abuse disorder (SUD) rates are undeniably linked with the outcomes of mothers and babies. This essential relationship emphasizes the importance of quality improvement work done jointly, treating mother and infant as a dyad, not as separate entities. In 2020 the Missouri Hospital Association (MHA) partnered with Show-Me ECHO, a state-funded telehealth project, to initiate a state-wide quality improvement (QI) project to improve and standardize care delivery to the mother-baby dyad affected by SUD. Fourteen hospitals participated across the state of Missouri from January 2021 through December 2022. Through the ECHO model and technical implementation support, 100% of collaborative participating birth centers implemented a non-pharmacologic policy for the care of the substance-exposed newborn. In addition, maternal SUD screening increased by 67.3% (57.5% to 96.2%), infant transfer rates were reduced by 24%, and safe care discharge plans increased by 37% for infants and 144% for mothers. Further, the collaboration between MHA and the Show-Me ECHO demonstrates the feasibility of cross-sector efforts to create synergy to improve and standardize the care of the mother-infant dyad affected by SUD.

Reimagining the university's role in the health and well-being of the people it serves.

Academic medical centers and university extension programs remain underdeveloped collaborators, despite the complementary objectives between translational science and extension. This case study details the creation of a nationally unique interprofessional organizational structure between the University of Missouri (MU) Office of Extension and Engagement (MU Extension) and the MU School of Medicine to accelerate statewide reach of research and education discoveries using high-touch community health approaches. This article describes specific strategies used to systematically plan for: 1) creation and operation of the new structure, 2) routinization and institutionalizing the work, and 3) sustainability. We further outline challenges and next steps. The development of the backbone organization office of Health Outreach Policy and Education (HOPE) brings together the interprofessional expertise of five units with a common agenda to advance mutually reinforcing activities. HOPE is poised to make significant contributions to amplify MU's land grant mission, garner additional grant funding, and advance the health of Missourians.

Relapsed Mpox Keratitis, St. Louis, Missouri, USA.

We describe a case of a 46-year-old man in Missouri, USA, with newly diagnosed advanced HIV and PCR-confirmed mpox keratitis. The keratitis initially resolved after intravenous tecovirimat and penicillin for suspected ocular syphilis coinfection. Despite a confirmatory negative PCR, he developed relapsed, ipsilateral PCR-positive keratitis and severe ocular mpox requiring corneal transplant.

Prediction models for COVID-19 disease outcomes.

SARS-CoV-2 has caused over 6.9 million deaths and continues to produce lasting health consequences. COVID-19 manifests broadly from no symptoms to death. In a retrospective cross-sectional study, we developed personalized risk assessment models that predict clinical outcomes for individuals with COVID-19 and inform targeted interventions. We sequenced viruses from SARS-CoV-2-positive nasopharyngeal swab samples between July 2020 and July 2022 from 4450 individuals in Missouri and retrieved associated disease courses, clinical history, and urban-rural classification. We integrated this data to develop machine learning-based predictive models to predict hospitalization, ICU admission, and long COVID.The mean age was 38.3 years (standard deviation = 21.4) with 55.2% (N = 2453) females and 44.8% (N = 1994) males (not reported, N = 4). Our analyses revealed a comprehensive set of predictors for each outcome, encompassing human, environment, and virus genome-wide genetic markers. Immunosuppression, cardiovascular disease, older age, cardiac, gastrointestinal, and constitutional symptoms, rural residence, and specific amino acid substitutions were associated with hospitalization. ICU admission was associated with acute respiratory distress syndrome, ventilation, bacterial co-infection, rural residence, and non-wild type SARS-CoV-2 variants. Finally, long COVID was associated with hospital admission, ventilation, and female sex.Overall, we developed risk assessment models that offer the capability to identify patients with COVID-19 necessitating enhanced monitoring or early interventions. Of importance, we demonstrate the value of including key elements of virus, host, and environmental factors to predict patient outcomes, serving as a valuable platform in the field of personalized medicine with the potential for adaptation to other infectious diseases.