Faculty Bibliography

Socioeconomic position (SEP) in childhood and beyond may influence the gut microbiome, with implications for disease risk. Studies evaluating the relationship between life-course SEP and the gut microbiome are sparse, particularly among Hispanic/Latino individuals, who have a high prevalence of low SEP. We use the Hispanic Community Health Study/Study of Latinos (HCHS/SOL), a population-based cohort study conducted in four field centers in the United States (U.S.), to evaluate the association between life-course SEP and gut microbiome composition. Life-course SEP indicators included parental education (proxy of childhood SEP), current SEP (n = 2174), and childhood (n = 988) and current economic hardship (n = 994). Shotgun sequencing was performed on stool samples. Analysis of Compositions of Microbiomes was used to identify associations of life-course SEP indicators with gut microbiome species and functions. Parental education and current SEP were associated with the overall gut microbiome composition; however, parental education and current education explained more the gut microbiome variance than the current SEP. A lower parental education and current SEP were associated with a lower abundance of species from genus Bacteroides. In stratified analysis by nativity, we found similar findings mainly among foreign-born participants. Early-life SEP may have long-term effects on gut microbiome composition underscoring another biological mechanism linking early childhood factors to adult disease.

People with HIV are at increased risk of cardiovascular events; thus, care delivery strategies that increase access to comprehensive cardiovascular disease (CVD) risk management are a priority. We report the results of a multi-component telemedicine-based strategy to improve blood pressure control among people with HIV-Assess and Adapt to the Impact of COVID-19 on CVD Self-Management and Prevention Care in Adults Living with HIV (AAIM-High). The AAIM High strategy is a virtual adaptation of our previously published EXTRA-CVD strategy and consisted of hypertension education and six components: nurse-led care coordination (delivered by teleconference or telephone), home systolic blood pressure (SBP) monitoring, evidence-based treatment algorithms, electronic health records tools, technology coach, and communication preferences assessment. People with HIV (n = 74) with comorbid hypertension at three academic medical centers were enrolled in a single arm implementation study from January 2021 to December 2022. Over 12 months, the average patient-performed home SBP decreased by 7.7 mmHg (95% CI -11.5, -3.9). The percentage of patients at treatment goal, defined as average SBP <130 mmHg, increased from 46.0% to 72.5% at 12 months. By adapting to the growing use of telemedicine in healthcare delivery, our study effectively improved hypertension control in people with HIV through a virtual, nurse-led intervention.

Wildfires continue to increase in size, intensity, and duration. There is growing evidence that wildfire smoke adversely impacts clinical outcomes; however, few studies have assessed the impact of wildfires on household air quality and subclinical cardiovascular health indicators. We measured continuous indoor and outdoor fine particulate matter (PM_2.5) concentrations from July-October 2022 at 20 residences in the rural, mountainous state of Montana in the United States. We used a combination of satellite-derived smoke plume data from the National Oceanic and Atmospheric Administration's Hazard Mapping System and household-level daily mean PM_2.5 concentrations to classify wildfire-impacted days. One participant from each household self-reported in-home blood pressure (BP) on weekly electronic surveys. We used linear mixed-effects regression models to assess associations between air pollution exposures (PM_2.5 concentrations; number of wildfire-impacted days) and systolic BP (SBP) and diastolic BP (DBP). Models were adjusted for potential time-variant confounders including temperature, humidity, and self-reported exercise. Compared to survey periods with 0 wildfire days, SBP was 3.83 mmHg higher (95% Confidence Interval [95% CI]: 0.22, 7.44) and DBP was 2.36 mmHg higher (95% CI: -0.06, 4.78) during periods with 4+ wildfire days. Across the entire study period, a 10 µg m^-3 increase in indoor PM_2.5 was associated with 1.34 mmHg higher SBP (95%CI: 0.39, 2.29) and 0.71 mmHg higher DBP (95% CI: 0.07, 1.35). We observed that wildfire-impacted days and increasing household-level PM_2.5 concentrations are associated with higher in-home BP. Our results support growing literature which indicates that wildfires adversely impact subclinical cardiovascular health. Clinical and public health messaging should emphasize the cardiovascular health impacts of wildfire smoke and educate on exposure-reduction strategies such as indoor air filtration.

Public health can be immediately and substantially improved by policies that also mitigate climate change over the longer term. However, implementation of these policies has been slowed at least in part by doubts and lack of awareness of these health co-benefits. To address this barrier to progress, we demonstrate how an illustrative set of interventions led to environmental, health, and economic benefits, in addition to mitigating climate change. These case studies include the closure of a coal coking plant near Pittsburgh, PA, USA, which was followed by substantial immediate and longer-term reductions in respiratory and cardiovascular health conditions in the affected local community; the health and economic benefits associated with the Barcelona, Spain Superblock program and, the air quality, health, and economic benefits from air pollution initiatives implemented in China. While improvements in air pollution are among the most obvious examples of the co-benefits achievable through climate-friendly interventions, others that reduce greenhouse gas emissions, such as the sustainable food systems in Sweden, forest conservation in Tanzania, and a plant-based food program in New York City, further illustrate how such initiatives can align with better nutrition, economic gains, and improved health. We conclude that more assessments of such interventions are needed internationally to more widely document their health and climate benefits and thereby motivate greater implementation of these interventions. Now is the time to showcase how we can improve the public's health and well-being, while also protecting our planet, the only home future generations will have.

BACKGROUND:Potential rural-urban differences in prostate cancer care are understudied, particularly regarding the utilization of advanced diagnostic tests. Herein we examined variations in Positron Emission Tomography (PET) utilization for prostate cancer care, including diagnosis, staging and treatment planning, across residential regions in the United States. METHODS:Patients newly diagnosed with prostate cancer between 2019 and 2021 and post-diagnostic PETs were identified using full Medicare claims data. PET use was assessed in all newly diagnosed patients, though indications vary by risk. Patients' counties were categorized as metro, urban, or rural, from most to least urbanized. Regional PET utilization was further examined at the level of hospital referral regions. A multivariable logistic regression model was performed to assess the impact of rurality on PET imaging. A secondary analysis included an interaction term for race to explore the effect of residence on PET imaging by racial group. RESULTS:Overall, 495 865 patients were included in the analysis: 393 861 (79.4%) lived in metro, 56 698 (11.4%) in urban and 39 707 (8.0%) in rural counties. Patients in metro counties underwent PET imaging more often (8.4%) than patients in urban (7.3%) or rural counties (7.2%), p < 0.0001. At a level of hospital referral region, PET utilization rates ranged from 2.2 to 20.8%. PET imaging was more commonly performed in White compared to Black or Hispanic patients. Rural patients were less likely to undergo PET imaging compared to metro patients (odds ratio [OR] 0.87, 95% Confidence interval [CI]: 0.82-0.92 p < 0.0001). Rural Black (OR 0.69, 95%CI 0.57-0.83, p < 0.0001) and rural White patients (OR 0.89, 95%CI 0.83-0.94 p < 0.0001) were less likely to obtain PET imaging compared to their metro counterparts, p-interaction < 0.0001. CONCLUSION/CONCLUSIONS:Rural patients were less likely to undergo PET imaging than metro patients. The effect of rurality was most pronounced among Black patients. Our findings underscore the need for strategies to support equitable use of PET imaging.

The Predicting Risk of Cardiovascular EVENTS (PREVENT) equations, created and endorsed by the American Heart Association, provide cardiovascular risk estimates for the general population, but have not yet been tested in multiethnic populations. In the present study, in a large nationwide multiethnic sample of US veterans, the utility of PREVENT to predict the risk of total cardiovascular disease (CVD: fatal and nonfatal myocardial infarction, stroke or heart failure; PREVENT-CVD), atherosclerotic cardiovascular disease (ASCVD: fatal and nonfatal myocardial infarction or stroke; PREVENT ASCVD) and heart failure was evaluated. We assessed the discrimination and calibration performance of ASCVD prediction with PREVENT ASCVD compared with a previous risk-prediction score, pooled cohort equations (PCEs). Among 2,500,291 veterans aged 30-79 years (93.9% men and 6.1% women), 407,342 total CVD events occurred over a median (interquartile range (IQR)) follow-up of 5.8 (IQR = 3.1-8.3) years. The Concordance index (C-index) (95% confidence interval (CI)) for PREVENT-CVD was 0.65 (95% CI = 0.65-0.65) in the overall sample and was similar across different race and ethnic groups (Asian, Native Hawaiian or Pacific Islander, 0.70 (95% CI = 0.69-0.71); Hispanic, 0.70 (95% CI = 0.69-0.70); non-Hispanic Black. 0.68 (95% CI = 0.68-0.69) and non-Hispanic White, 0.65 (95% CI = 0.64-0.65)). C-indices were similar between PREVENT ASCVD and PCEs and ranged from 0.61 to 0.63. Calibration slopes for PREVENT-CVD and -ASCVD in the overall sample were 1.09 (s.e. = 0.04) and 1.15 (s.e. = 0.04), respectively. In contrast, PCEs demonstrated overprediction for ASCVD with a calibration slope of 0.51 (s.e. = 0.06). Calibration slopes for PREVENT and PCEs were similar across race and ethnic groups. Among US veterans, the PREVENT equations accurately estimated CVD and ASCVD risk with some variability across race and ethnicity groups and outperformed PCEs for ASCVD risk prediction.

OBJECTIVE:To obtain perspectives about existing compensation structures in gynecologic oncology, including common challenges and successful strategies within diverse systems. METHODS:Electronic mail was used to recruit OB/GYN department chairs and directors of cancer centers who were gynecologic oncologists and responsible for administering compensation structures at their institution. Using a semi-structured guide, three interviewers conducted 30-min qualitative interviews, which were recorded and transcribed. Two coders used the constant comparative method to summarize key themes. RESULTS:Response rate was 65 %, resulting in 17 interviewees. Participants were a third women and in their current position for a median of 7 years. The most prominent theme was the tension of balancing reimbursement for revenue-generating clinical activities with non-clinical work in research and education. Chair discretionary funds were useful to offset unfunded responsibilities. Broad clinical productivity measures were used: from more traditional work Relative Value Units (wRVUs) to measures that captured downstream impact, such as number of new patients or surgeries. Even in institutions with centralized funds flow systems, disparities were frequently noted for the monetary value assigned per wRVU. Academic scorecards were described as a method to ascribe value for academic work, often for bonus incentives. Another common stressor unique to gynecologic oncology was low reimbursement for chemotherapy-related services compared to surgery. Provision of regular productivity reports was common, but full transparency was controversial. CONCLUSIONS:Our inquiry demonstrates that our academic leaders are unable to use compensation to fully support areas they deem important.

BACKGROUND:Healthy Days at Home (HDaH) is a patient-centered outcome measure quantifying the number of days individuals spend at home without hospitalizations or emergency department (ED) visits, while maintaining functional independence. This study examines the association between HDaH and prognosis among US older adults with serious life-limiting illnesses (commonly heart failure, chronic obstructive pulmonary disease, advanced cancer, and end-stage kidney disease) and explores how this relationship differs by cancer status. METHODS:For this prospective cohort design study, we pooled Medicare Claims data of older adults (aged 66 or greater) with serious life-limiting illnesses who visited one of 30 EDs participating in the Primary Palliative Care for Emergency Medicine study between 2015 and 2019. The main exposure was prognosis, measured using the Gagne index, a short-term predictor of mortality. We controlled for age, sex, race/ethnicity, and used cancer diagnosis as a secondary predictor and stratification variable. The outcome, HDaH, was defined as 180 days minus the days a patient spent in healthcare institutions, including hospitals, skilled nursing facilities, and hospice care. We used generalized linear mixed-effects models with a log (180) offset to estimate the adjusted rate ratios (aRR) and 95% confidence intervals. RESULTS:The cohort included 122,579 seriously ill older adults,11% (n = 13,452) of whom had cancer. The median (IQR) HDaH was 115 (26-174) days. Each unit increase in Gagne index score was associated with a 6.0% decrease in the rate of HDaH (aRR: 0.94; 95% CI: 0.94 to 0.94), a pattern observed in both cancer and non-cancer groups. Cancer diagnosis was associated with 7.0% increase in HDaH (aRR: 1.07; 95% CI: 1.07 to 1.07). CONCLUSION/CONCLUSIONS:While poor prognosis is associated with fewer healthy days at home, cancer diagnosis is associated with more healthy days at home. Our findings highlight the need for tailored care models to reduce hospitalizations and increase HDaH for patients with serious life-limiting illnesses other than cancer.

BACKGROUND:Inclusion of patients, caregivers, and community members in scientific research should be essential for patient-centered care. Patients’ lived experiences can propose new areas of focus that may not have previously been considered, ensure that potentially sensitive topics are addressed thoughtfully, contribute to the interpretation of findings, and identify future directions of research. Further, their inclusion in the drafting of manuscripts can ensure that research findings are translatable to real-world practice. To achieve this goal, the Researching COVID to Enhance Recovery (RECOVER) consortium developed a Representative Authorship system for development of scientific manuscripts that report RECOVER data. This paper describes a Quality Improvement (QI) project that was conducted to identify system strengths and improvement opportunities. METHODS:An online QI survey was distributed to RECOVER’s Representative Authors about a year into the implementation of the Representative Authorship System. The survey focused on several key aspects, including the clarity regarding the authorship process, training opportunities, the matching process, communication within writing groups, and the perceived impact of the representative engagement on the quality and applicability of research. The survey also explored participants’ satisfaction with compensation, support, and involvement in the system, as well as areas for improvement. RESULTS:The survey was sent to 49 representative authors with 17 respondents (35%). Most respondents reported positive experiences, highlighting the effective matching to manuscripts based on their expertise and the perceived positive impact of their involvement on research outcomes. Additionally, participants felt that including diverse voices enhanced the relevance of research for clinical practice. Several areas for improvement were identified, including communication challenges within writing groups, the utility of manuscript orientation calls, and the fairness of compensation. Respondents also indicated a need for more training opportunities and logistical support. CONCLUSIONS:RECOVER’s Representative Authorship system is effective in fostering collaboration and improving the inclusivity of scientific research. The survey findings indicate that there are logistical changes around communication, training, and compensation that could enhance the experience for all collaborators. Based on these findings, we plan to implement changes to improve awareness, understanding, and collaboration. Additional work is needed to solicit feedback from investigators and administrative staff to obtain a more holistic understanding of the system. SUPPLEMENTARY INFORMATION:The online version contains supplementary material available at 10.1186/s12913-025-12914-3.

BACKGROUND:Unmet structural and social needs create barriers to breast cancer screening and treatment. The impact of the intersection of these barriers on screening participation and timeliness of breast cancer care remains poorly understood. METHODS:People identifying as women participating in a breast cancer navigation program for screening or treatment were included. Patient navigators administered survey questions that addressed potential barriers to care access using the Health Leads Screening Toolkit. Odds ratios were calculated for unadjusted bivariate associations, and Cox proportional hazards were used to examine the relationship between barriers and time to treatment. RESULTS:A total of 2804 women (mean age, 53 years) enrolled in navigation for screening or cancer treatment participated in the survey about barriers to care. Of those, 435 (16%) reported unstable housing, 610 (23%) reported poor health literacy, and 164 (6%) reported feeling depressed. Limited transportation was significantly associated with unstable housing (odds ratio [OR] = 26.5, 95% confidence interval [CI] 19.9-35.4, p < 0.00001), poor health literacy (OR = 11.5, 95% CI 9.3-14.2, p < 0.0001), and depression (OR = 2.9, 95% CI 2.1-4.0, p < 0.00001). Individual barriers were not associated with a longer time to treatment, but an increasing number of barriers was associated with a longer time to treatment (Coef = 0.9, p < 0.05). CONCLUSIONS:Compounding structural and social barriers limit participation in breast cancer screening, and women with increasing unmet social needs face delays in treatment for breast cancer. Navigation programs may help women overcome barriers to care; however, understanding and targeting the intersectionality of unmet needs is essential for targeted interventions through breast cancer care navigation programs to be effective.