House Republicans were rewarded for supporting Donald Trump's 'stop the steal' efforts.

In early 2021, members of Congress cast a series of high-profile roll call votes forcing them to choose between condoning or opposing Donald Trump's efforts to overturn the 2020 presidential election. Substantial majorities of House Republicans supported Trump, first by opposing the certification of electoral votes from Arizona and Pennsylvania on January 6th, then by opposing the president's impeachment for inciting the attack on the US Capitol, and then by opposing a bill that would have created a national commission to investigate the events of January 6th. We examine whether the House Republicans who voted to support Trump in 2021 were rewarded or punished in the 2022 congressional midterm elections. We find no evidence that members who supported Trump did better or worse in contested general election races. However, Trump supporters were less likely to lose primary elections, more likely to run unopposed in the general election, more likely to run for higher office, and less likely to retire from politics. Overall, there seem to have been no significant political costs and some significant rewards in 2022 for House Republicans who supported Trump's undemocratic behavior.

Thelazia callipaeda Eyeworms in American Black Bear, Pennsylvania, USA, 2023.

We identified a Thelazia callipaeda eyeworm in an American black bear in Pennsylvania, USA, on the basis of its morphological features and molecular analysis. Our finding highlights emergence of a T. callipaeda worm sylvatic transmission cycle in the United States.

Measuring variation in infant mortality and deaths of despair by US congressional district in Pennsylvania: a methodological case study.

Many ecological studies examine health outcomes and disparities using administrative boundaries such as census tracts, counties, or states. These boundaries help us to understand the patterning of health by place, along with impacts of policies implemented at these levels. However, additional geopolitical units (units with both geographic and political meaning), such as congressional districts (CDs), present further opportunities to connect research with public policy. Here we provide a step-by-step guide on how to conduct disparities-focused analysis at the CD level. As an applied case study, we use geocoded vital statistics data from 2010-2015 to examine levels of and disparities in infant mortality and deaths of despair in the 19 US CDs of Pennsylvania for the 111th-112th (2009-2012) Congresses and 18 CDs for the 113th-114th (2013-2016) Congresses. We also provide recommendations for extending CD-level analysis to other outcomes, states, and geopolitical boundaries, such as state legislative districts. Increased surveillance of health outcomes at the CD level can help prompt policy action and advocacy and, hopefully, reduce rates of and disparities in adverse health outcomes.

Chronic Liver Disease and Cirrhosis Mortality Rates Are Disproportionately Increasing in Younger Women in the United States Between 2000-2020.

BACKGROUND & AIMS: Previous studies show that mortality from chronic liver disease (CLD) and cirrhosis is increasing in the United States. However, there are limited data on sex-specific mortality trends by age, race, and geographical location. The aim of this study was to conduct a comprehensive time-trend analysis of liver disease-related mortality rates in the National Center of Health Statistics (NCHS) database. METHODS: CLD and cirrhosis mortality rates between 20002020 (age-adjusted to the 2000 standard U.S. population) were collected from the NCHS database and categorized by sex and age into older adults (≥55 years) and younger adults (<55 years), race (Non-Hispanic-White, Non-Hispanic-Black, Hispanic, Non-Hispanic-American-Indian/Alaska-Native, and Non-Hispanic-Asian/Pacific-Islander), U.S. state, and cirrhosis etiology. Time trends, annual percentage change (APC), and average APC (AAPC) were estimated using Joinpoint Regression using Monte Carlo permutation analysis. We used tests for parallelism and identicalness for sex-specific pairwise comparisons of mortality trends (two-sided P value cutoff = .05). RESULTS: Between 20002020, there were 716,651 deaths attributed to CLD and cirrhosis in the U.S. (35.68% women). In the overall population and in older adults, CLD and cirrhosis-related mortality rates were increasing similarly in men and women. However, in younger adults (246,149 deaths, 32.72% women), the rate of increase was greater in women compared with men (AAPC = 3.04 vs 1.08, AAPC-difference = 1.96; P < .001), with non-identical non-parallel data (P values < .001). The disparity was driven by Non-Hispanic-White (AAPC = 4.51 vs 1.79, AAPC-difference = 2.71; P < .001) and Hispanic (AAPC = 1.89 vs -0.65, AAPC-difference = 2.54; P = .001) individuals. The disparity varied between U.S. states and was seen in 16 states, mostly in West Virginia (AAPC = 4.96 vs 0.88, AAPC-difference = 4.08; P < .001) and Pennsylvania (AAPC = 2.81 vs -1.02, AAPC-difference = 3.84; P < .001). Etiology-specific analysis did not show significant sex disparity in younger adults. CONCLUSIONS: Mortality rates due to CLD and cirrhosis in the U.S. are increasing disproportionately in younger women. This finding was driven by higher rates in Non-Hispanic White and Hispanic individuals, with variation between U.S. states. Future studies are warranted to identify the reasons for these trends with the ultimate goal of improving outcomes.

Effects of the nematode Litylenchus crenatae subsp. mccannii and beech leaf disease on leaf fungal and bacterial communities on Fagus grandifolia (American beech).

Beech leaf disease (BLD) is a newly emerging disease in North America that affects American beech (Fagus grandifolia). It is increasingly recognized that BLD is caused by a subspecies of the anguinid nematode Litylenchus crenatae subsp. mccannii (hereafter L. crenatae), which is likely native to East Asia. How nematode infestation of leaves affects the leaf microbiome and whether changes in the microbiome could contribute to BLD symptoms remain uncertain. In this study, we examined bacterial and fungal communities associated with the leaves of F. grandifolia across nine sites in Ohio and Pennsylvania that were either symptomatic or asymptomatic for BLD and used qPCR to measure relative nematode infestation levels. We found significantly higher levels of infestation at sites visibly symptomatic for BLD. Low levels of nematode infestation were also observed at asymptomatic sites, which suggests that nematodes can be present without visible symptoms evident. Bacterial and fungal communities were significantly affected by sampling site and symptomology, but only fungal communities were affected by nematode presence alone. We found many significant indicators of both bacteria and fungi related to symptoms of BLD, with taxa generally occurring in both asymptomatic and symptomatic leaves, suggesting that microbes are not responsible for BLD but could act as opportunistic pathogens. Of particular interest was the fungal genus Erysiphe, which is common in the Fagaceae and is reported to overwinter in buds-a strategy consistent with L. crenatae. The specific role microbes play in opportunistic infection of leaves affected by L. crenatae will require additional study. IMPORTANCE: Beech leaf disease (BLD) is an emerging threat to American beech (Fagus grandifolia) and has spread quickly throughout the northeastern United States and into southern Canada. This disease leads to disfigurement of leaves and is marked by characteristic dark, interveinal banding, followed by leaf curling and drop in more advanced stages. BLD tends to especially affect understory leaves, which can lead to substantial thinning of the forest understory where F. grandifolia is a dominant tree species. Understanding the cause of BLD is necessary to employ management strategies that protect F. grandifolia and the forests where it is a foundation tree species. Current research has confirmed that the foliar nematode Litylenchus crenatae subsp. mccannii is required for BLD, but whether other organisms are involved is currently unknown. Here, we present a study that investigated leaf-associated fungi and bacteria of F. grandifolia to understand more about how microorganisms may contribute to BLD.

Changes in Medication Utilization and Adherence Associated with Homeless Adults' Entry into Permanent Supportive Housing.

BACKGROUND: Permanent supportive housing (PSH) programs, which have grown over the last decade, have been associated with changes in health care utilization and spending. However, little is known about the impact of such programs on use of prescription drugs critical for managing chronic diseases prevalent among those with unstable housing. OBJECTIVE: To evaluate the effects of PSH on medication utilization and adherence among Medicaid enrollees in Pennsylvania. DESIGN: Difference-in-differences study comparing medication utilization and adherence between PSH participants and a matched comparison cohort from 7 to 18 months before PSH entry to 12 months post PSH entry. SUBJECTS: Pennsylvania Medicaid enrollees (n = 1375) who entered PSH during 2011-2016, and a propensity-matched comparison cohort of 5405 enrollees experiencing housing instability who did not receive PSH but received other housing services indicative of episodic or chronic homelessness (e.g., emergency shelter stays). MAIN MEASURES: Proportion with prescription fill, mean proportion of days covered (PDC), and percent adherent (PDC ≥ 80%) for antidepressants, antipsychotics, anti-asthmatics, and diabetes medications. KEY RESULTS: The PSH cohort saw a 4.77% (95% CI 2.87% to 6.67%) relative increase in the proportion filling any prescription, compared to the comparison cohort. Percent adherent among antidepressant users in the PSH cohort rose 7.41% (95% CI 0.26% to 14.57%) compared to the comparison cohort. While utilization increased in the other medication classes among the PSH cohort, differences from the comparison cohort were not statistically significant. CONCLUSIONS: PSH participation is associated with increases in filling prescription medications overall and improved adherence to antidepressant medications. These results can inform state and federal policy to increase PSH placement among Medicaid enrollees experiencing homelessness.

PACE: a Novel Eating Behavior Phenotype to Assess Risk for Obesity in Middle Childhood.

BACKGROUND: Behavioral phenotypes that predict future weight gain are needed to identify children susceptible to obesity. OBJECTIVES: This prospective study developed an eating behavior risk score to predict change in adiposity over 1 y in children. METHODS: Data from 6 baseline visits (Time 1, T1) and a 1-y follow-up visit (Time 2, T2) were collected from 76, 7- to 8-y-old healthy children recruited from Central Pennsylvania. At T1, children had body mass index (BMI) percentiles <90 and were classified with either high (n = 33; maternal BMI ≥30 kg/m2) or low (n = 43; maternal BMI ≤25 kg/m2) familial risk for obesity. Appetitive traits and eating behaviors were assessed at T1. Adiposity was measured at T1 and T2 using dual-energy x-ray absorptiometry, with a main outcome of fat mass index (FMI; total body fat mass divided by height in meters squared). Hierarchical linear regressions determined which eating measures improved prediction of T2 FMI after adjustment for covariates in the baseline model (T1 FMI, sex, income, familial risk, and Tanner stage). RESULTS: Four eating measures-Portion susceptibility, Appetitive traits, loss of control eating, and eating rate-were combined into a standardized summary score called PACE. PACE improved the baseline model to predict 80% variance in T2 FMI. PACE was positively associated with the increase in FMI in children from T1 to T2, independent of familial risk (r = 0.58, P < 0.001). Although PACE was higher in girls than boys (P < 0.05), it did not differ by familial risk, income, or education. CONCLUSIONS: PACE represents a cumulative eating behavior risk score that predicts adiposity gain over 1 y in middle childhood. If PACE similarly predicts adiposity gain in a cohort with greater racial and socioeconomic diversity, it will inform the development of interventions to prevent obesity. This trial was registered at clinicaltrials.gov as NCT03341247.

Geriatric Motorcycle-Related Outcomes: A Pennsylvania Multicenter Study.

INTRODUCTION: Geriatric patients (GeP) often experience increased morbidity and mortality following traumatic insult and as a result, require more specialized care due to lower physiologic reserve and underlying medical comorbidities. Motorcycle injuries (MCCI) occur across all age groups; however, no large-scale studies evaluating outcomes of GeP exist for this particular subset of patients. Data thus far are limited to elderly participation in recreational activities such as water and alpine skiing, snowboarding, equestrian, snowmobiles, bicycles, and all-terrain vehicles. We hypothesized that GeP with MCCI will have a higher rate of mortality when compared with their younger counterparts despite increased helmet usage. METHODS: We performed a multicenter retrospective review of MCCI patients at three Pennsylvania level I trauma centers from January 2016 to December 2020. Data were extracted from each institution's electronic medical records and trauma registry. GeP were defined as patients aged more than or equal to 65 y. The primary outcome was mortality. Secondary outcomes included ventilator days; hospital, intensive care unit, and intermediate unit length of stays; complications; and helmet use. 3:1 nongeriatric patients (NGeP) to GeP propensity score matching (PSM) was based on sex, abbreviated injury scale (AIS), and injury severity score (ISS). P ≤ 0.05 was considered significant. RESULTS: One thousand five hundred thirty eight patients were included (GeP: 7% [n = 113]; NGP: 93% [n = 1425]). Prior to PSM, GeP had higher median Charlson Comorbidity Index (GeP: 3.0 versus NGeP: 0.0; P ≤ 0.001) and greater helmet usage (GeP: 73.5% versus NGeP: 54.6%; P = 0.001). There was a statistically significant difference between age cohorts in terms of ISS (GeP: 10.0 versus NGeP: 6.0, P = 0.43). There was no significant difference for any AIS body region. Mortality rates were similar between groups (GeP: 1.7% versus NGeP: 2.6%; P = 0.99). After PSM matching for sex, AIS, and ISS, GeP had significantly more comorbidities than NGeP (P ≤ 0.05). There was no difference in trauma bay interventions or complications between cohorts. Mortality rates were similar (GeP: 1.8% versus NGeP: 3.2%; P = 0.417). Differences in ventilator days as well as intensive care unit length of stay, intermediate unit length of stay, and hospital length of stay were negligible. Helmet usage between groups were similar (GeP: 64.5% versus NGeP: 66.8%; P = 0.649). CONCLUSIONS: After matching for sex, ISS, and AIS, age more than 65 y was not associated with increased mortality following MCCI. There was also no significant difference in helmet use between groups. Further studies are needed to investigate the effects of other potential risk factors in the aging patient, such as frailty and anticoagulation use, before any recommendations regarding management of motorcycle-related injuries in GeP can be made.

Hemodynamic Deterioration of Trauma Patients Undergoing Interhospital Transfer.

INTRODUCTION: Organized trauma systems reduce morbidity and mortality after serious injury. Rapid transport to high-level trauma centers is ideal, but not always feasible. Thus, interhospital transfers are an important component of trauma systems. However, transferring a seriously injured patient carries the risk of worsening condition before reaching definitive care. In this study, we evaluated characteristics and outcomes of patients whose hemodynamic status worsened during the transfer process. METHODS: We conducted a retrospective cohort study using data from the Pennsylvania Trauma Outcomes Study database from 2011 to 2018. Patients were included if they had a heart rate ≤ 100 and systolic blood pressure ≥ 100 at presentation to the referring hospital and were transferred within 24 h. We defined hemodynamic deterioration (HDD) as admitting heart rate > 100 or systolic blood pressure < 100 at the receiving center. We compared demographics, mechanism of injury, injury severity, management, and outcomes between patients with and without HDD using descriptive statistics and multivariable regression analysis. RESULTS: Of 52,919 included patients, 5331 (10.1%) had HDD. HDD patients were more often moderately-severely injured (injury severity score 9-15; 40.4% versus 39.4%, P < 0.001) and injured via motor vehicle collision (23.2% versus 16.6%, P < 0.001) or gunshot wound (2.1% versus 1.3%, P < 0.001). HDD patients more often had extremity or torso injuries and after transfer were more likely to be transferred to the intensive care unit (35% versus 28.5%, P < 0.001), go directly to surgery (8.4% versus 5.9%, P < 0.001), or interventional radiology (0.8% versus 0.3%, P < 0.001). Overall mortality in the HDD group was 4.9% versus 2.1% in the group who remained stable. These results were confirmed using multivariable analysis. CONCLUSIONS: Interhospital transfers are essential in trauma, but one in 10 transferred patients deteriorated hemodynamically in that process. This high-risk component of the trauma system requires close attention to the important aspects of transfer such as patient selection, pretransfer management/stabilization, and communication between facilities.

Co-occurring conditions during pregnancy and hospitalizations in the first year postpartum among persons with opioid use disorder.

INTRODUCTION: Pregnant persons with opioid use disorder (OUD) face a multitude of comorbid conditions that may increase the risk of adverse drug and health outcomes. This study characterizes typologies of comorbidities among pregnant persons with OUD and assesses the associations of these typologies with hospitalizations in the first year postpartum. METHODS: A cohort of pregnant persons with OUD at delivery in 2018 were identified in a Pennsylvania statewide hospital dataset (n = 2055). Latent class analysis assessed 12 comorbid conditions including substance use disorders (SUDs), mental health conditions, and infections. Multivariable logistic regressions examined the association between comorbidity classes and hospitalizations (all-cause, OUD-specific, SUD-related, mental health-related) during early (0-42 days) and late (43-365 days) postpartum. RESULTS: A three-class model best fit the data. Classes included low comorbidities (56.9% of sample; low prevalence of co-occurring conditions), moderate polysubstance/depression (18.4%; some SUDs, all with depression), and high polysubstance/bipolar disorder (24.7%; highest probabilities of SUDs and bipolar disorder). Overall, 14% had at least one postpartum hospitalization. From 0 to 42 days postpartum, the moderate polysubstance/depression and high polysubstance/bipolar disorder classes had higher odds of all-cause and mental health-related hospitalization, compared to the low comorbidities class. From 43 to 365 days postpartum, the high polysubstance/bipolar disorder class had higher odds of all-cause hospitalizations, while both the high polysubstance/depression and moderate polysubstance/bipolar disorder classes had higher odds of SUD-related and mental health-related hospitalizations compared to the low comorbidities class. CONCLUSIONS: Findings highlight the need for long-term, multidisciplinary healthcare delivery interventions to address comorbidities and prevent adverse postpartum outcomes.

Syndemic of Substance Abuse, Depression, and Type 2 Diabetes and Their Association with Retention in Care Among People Living with HIV.

Substance abuse (SA), depression, and type 2 diabetes (DM2) often co-occur among people living with HIV (PLHIV). Guided by a syndemic framework, this cross-sectional retrospective study examined the cumulative and interaction effects of SA, depression, and DM2 on retention in HIV care (RIC) among 621 PLHIV receiving medical care in central Pennsylvania. We performed logistic regression analysis to test the associations between SA, depression, and DM2 and RIC. To test the "syndemic" model, we assessed additive and multiplicative interactions. In an unadjusted model, a dose-response pattern between the syndemic index (total number of health conditions) and RIC was detected (OR for 1 syndemic factor vs. none: 1.01, 95% CI: 0.69-1.47; 2 syndemic factors: 1.59, 0.89-2.84; 3 syndemic factors: 1.62, 0.44-5.94), but no group reached statistical significance. Interactions on both additive and multiplicative scales were not significant, demonstrating no syndemic effect of SA, depression, and DM2 on RIC among our study sample. Our findings highlight that comorbid conditions may, in some populations, facilitate RIC rather than act as barriers, which may be due to higher levels of engagement with medical care.

Designing Retirement Strategies for Coal-Fired Power Plants To Mitigate Air Pollution and Health Impacts.

Retiring coal power plants can reduce air pollution and health damages. However, the spatial distribution of those impacts remains unclear due to complex power system operations and pollution chemistry and transport. Focusing on coal retirements in Pennsylvania (PA), we analyze six counterfactual scenarios for 2019 that differ in retirement targets (e.g., reducing 50% of coal-based installed capacity vs generation) and priorities (e.g., closing plants with higher cost, closer to Environmental Justice Areas, or with higher CO2 emissions). Using a power system model of the PJM Interconnection, we find that coal retirements in PA shift power generation across PA and Rest of PJM, leading to scenario-varying changes in the plant-level release of air pollutants. Considering pollution transport and the size of the exposed population, these emissions changes, in turn, give rise to a reduction of 6-136 PM2.5-attributable deaths in PJM across the six scenarios, with most reductions occurring in PA. Among our designed scenarios, those that reduce more coal power generation yield greater aggregate health benefits due to air quality improvements in PA and adjacent downwind regions. In addition, comparing across the six scenarios evaluated in this study, vulnerable populations─in both PA and Rest of PJM─benefit most in scenarios that prioritize plant closures near Environmental Justice Areas in PA. These results demonstrate the importance of considering cross-regional linkages and sociodemographics in designing equitable retirement strategies.

Historical Structural Racism in the Built Environment and Physical Health among Residents of Allegheny County, Pennsylvania.

Historical structural racism in the built environment contributes to health inequities, yet to date, research has almost exclusively focused on racist policy of redlining. We expand upon this conceptualization of historical structural racism by examining the potential associations of probable blockbusting, urban renewal, and proximity to displacement from freeway construction, along with redlining, to multiple contemporary health measures. Analyses linked historical structural racism, measured continuously at the census-tract level using archival data sources, to present-day residents' physical health measures drawn from publicly accessible records for Allegheny County, Pennsylvania. Outcome measures included average life expectancy and the percentage of residents reporting hypertension, stroke, coronary heart disease, smoking, insufficient sleep, sedentary behavior, and no health insurance coverage. Multiple regression analyses were conducted to examine separate and additive associations between structural racism and physical health measures. Redlining, probable blockbusting, and urban renewal were associated with shorter life expectancy and a higher prevalence of cardiovascular conditions, risky health behaviors, and residents lacking health insurance coverage. Probable blockbusting and urban renewal had the most consistent correlations with all 8 health measures, while freeway displacement was not reliably associated with health. Additive models explained a greater proportion of variance in health than any individual structural racism measure alone. Moreover, probable blockbusting and urban renewal accounted for relatively more variance in health compared to redlining, suggesting that research should consider these other measures in addition to redlining. These preliminary correlational findings underscore the importance of considering multiple aspects of historical structural racism in relation to current health inequities and serve as a starting point for additional research.

Diagnostic investigation of avian reovirus field variants circulating in broiler chickens in Pennsylvania of United States between 2017 and 2022.

Avian reovirus (ARV) has been continuously affecting the poultry industry in Pennsylvania (PA) in recent years. This report provides our diagnostic investigation on monitoring ARV field variants from broiler chickens in Pennsylvania. Genomic characterization findings of 72 ARV field isolates obtained from broiler cases during the last 6 years indicated that six distinct cluster variant strains (genotype I-VI), which were genetically diverse and distant from the vaccine and vaccine-related field strains, continuously circulated in PA poultry. Most of the variants clustered within genotype V (24/72, 33.3%), followed by genotype II (16/72, 22.2%), genotype IV (13/72, 18.1%), genotype III (13/72, 18.1%), genotype VI (05/72, 6.94%), and genotype I (1/72, 1.38%). The amino acid identity between 72 field variants and the vaccine strains (1133, 1733, 2408, 2177) varied from 45.3% to 99.7%, while the difference in amino acid counts ranged from 1-164. Among the field variants, the amino acid identity and count difference ranged from 43.3% to 100% and 0 to 170, respectively. Variants within genotype V had maximum amino acid identity (94.7-100%), whereas none of the variants within genotypes II and VI were alike. These findings indicate the continuing occurrence of multiple ARV genotypes in the environment.

Financial toxicity in gynecologic oncology: a multi-practice survey.

BACKGROUND: Financial toxicity is associated with worse cancer outcomes, including lower survival. OBJECTIVE: To characterize the prevalence of, and patient risk factors for, financial toxicity among gynecologic oncology patients in a multi-site health system. METHODS: We identified patients seen in University of Pennsylvania gynecologic oncology practices between January 2020 and February 2022 with a patient portal account. We sent a survey to all alive patients twice between March and April 2022, including the 11-item Comprehensive Score for Financial Toxicity (COST) tool. We compared differences between patients reporting high (COST score <26) and low financial toxicity (COST score ≥26) in Χ2 and regression analyses. RESULTS: Of 8239 patients, 6925 had a portal account, and 498 completed the survey for 7.2% response rate. 44% had a COST score <26, indicating financial toxicity. Patients with high financial toxicity were more likely to be younger (mean age 54 vs 60), have cervical cancer (10% vs 4%; p=0.008), be privately insured (71% vs 57%; p=0.003) or have Medicaid (7% vs 3%; p=0.03), or be unemployed (18% vs 3%; p=<0.001), and less likely to be white (79% vs 90%, p=0.003) than those with low financial toxicity. Patients with Medicare were less likely to experience financial toxicity than privately insured patients (RR=0.59, 95% CI 0.37 to 0.95). CONCLUSION: In this study of patients with gynecologic cancer or pre-cancer, 44% had financial toxicity. Financial toxicity was higher in patients who were younger, did not identify as White, and had private insurance. Targeted measures to address financial toxicity are needed to minimize disparities in patient burden of cancer treatment.

Air pollution and incident sarcoidosis in central Pennsylvania.

Sarcoidosis is a chronic granulomatous disease predominantly affecting the lungs and inducing significant morbidity and elevated mortality rate. The etiology of the disease is unknown but may involve exposure to an antigenic agent and subsequent inflammatory response resulting in granuloma formation. Various environmental and occupational risk factors have been suggested by previous observations, such as moldy environments, insecticides, and bird breeding. Our study investigated the association of air pollution with diagnosis of sarcoidosis using a case-control design. Penn State Health electronic medical records from 2005 to 2018 were examined for adult patients with (cases) and without (controls) an International Classification of Disease (ICD)-9 or -10 code for sarcoidosis. Patient addresses were geocoded and 24-hr residential-level air pollution concentrations were estimated using spatio-temporal models of particulate matter <2.5 µm (PM2.5), ozone, and PM2.5 elemental carbon (EC) and moving averages calculated. In total, 877 cases and 34,510 controls were identified. Logistic regression analysis did not identify significant associations between sarcoidosis incidence and air pollution exposure estimates. However, the odds ratio (OR) for EC for exposures occurring 7-10 years prior did approach statistical significance, and ORs exhibited an increasing trend for longer averaging periods. Data suggested a latency period of more than 6 years for PM2.5 and EC for reasons that are unclear. Overall, results for PM2.5 and EC suggest that long-term exposure to traffic-related air pollution may contribute to the development of sarcoidosis and emphasize the need for additional research and, if the present findings are substantiated, for public health interventions addressing air quality as well as increasing disease surveillance in areas with a large burden of PM2.5 and EC.

Follow-up in a point-of-care diabetic retinopathy program in Pittsburgh: a non-concurrent retrospective cohort study.

BACKGROUND: The Point-of-Care Diabetic Retinopathy Examination Program (POCDREP) was initiated in 2015 at the University of Pittsburgh/UPMC in response to low diabetic retinopathy (DR) examination rates, a condition affecting a quarter of people with diabetes mellitus (PwDM) and leading to blindness. Early detection and treatment are critical with DR prevalence projected to triple by 2050. Approximately, half of PwDM in the U.S. undergo yearly examinations, and there are reported varying follow-up rates with eye care professionals, with limited data on the factors influencing these trends. POCDREP aimed to address screening and follow-up gap, partnering with diverse healthcare entities, including primary care sites, free clinics, and federally qualified health centers. METHODS: A non-concurrent retrospective cohort study spanning 2015-2018 examined data using electronic health records of patients who underwent retinal imaging. Imaging was performed using 31 cameras across various settings, with results interpreted by ophthalmologists. Follow-up recommendations were made for cases with vision-threatening DR (VTDR), incidental findings, or indeterminate results. Factors influencing follow-up were analyzed, including demographic, clinical, and imaging-related variables. We assessed the findings at follow-up of patients with indeterminate results. RESULTS: Out of 7,733 examinations (6,242 patients), 32.25% were recommended for follow-up. Among these, 5.57% were classified as having VTDR, 14.34% had other ocular findings such as suspected glaucoma and age-related macular degeneration (AMD), and 12.13% were indeterminate. Of those recommended for follow-up, only 30.87% were assessed by eye care within six months. Older age, marriage, and severe DR were associated with higher odds of following up. Almost two thirds (64.35%) of the patients with indeterminate exams were found with a vision-threatening disease at follow-up. CONCLUSION: The six-month follow-up rate was found to be suboptimal. Influential factors for follow-up included age, marital status, and the severity of diabetic retinopathy (DR). While the program successfully identified a range of ocular conditions, screening initiatives must extend beyond mere disease detection. Ensuring patient follow-up is crucial to DR preventing programs mission. Recommended strategies to improve follow-up adherence include education, incentives, and personalized interventions. Additional research is necessary to pinpoint modifiable factors that impact adherence and to develop targeted interventions.

Validation of three health literacy screening questions compared with S-TOFHLA in a low-income diverse English- and Spanish-Speaking population.

BACKGROUND: Clinicians need a tool to gauge patients' ability to understand health conditions and treatment options. The Short-form Test of Functional Health Literacy in Adults (S-TOFHLA) is the gold standard for this, but its length is prohibitive for use in clinical settings. This study seeks to validate a novel three-item question set for predicting health literacy. METHODS: This cross-sectional study utilized an in-person questionnaire alongside the S-TOFHLA. The sample included 2027 English- and Spanish-speaking adults (≥18 years) recruited from primary care practices serving a low-income eastern Pennsylvania community. Most patients (57.7%) identified as Hispanic. Diagnostic accuracy of each question and aggregated scores were assessed against the validated survey by calculating the area under the receiver operating characteristic (AUROC) curve. RESULTS: Questions in the 'Problems Learning' and 'Help Reading' domains (AUROC 0.66 for each) performed better than the 'Confident Forms' question (AUROC 0.64). Summing all three scores resulted in an even higher AUROC curve (0.71). Cronbach's alpha of the combined items was 0.696. CONCLUSIONS: Study results suggest that any of the three questions are viable options for screening health literacy levels of diverse patients in primary care clinical settings. However, they perform better as a summed score than when used individually.

Intoxication and Glasgow coma scale scores in patients with head trauma.

INTRODUCTION: The Glasgow Coma Scale (GCS) is an assessment tool commonly used by emergency department (ED) clinicians to objectively describe level of consciousness, especially in trauma patients. This study aims to assess the effect of drug and alcohol intoxication on GCS scores in cases of traumatic head injury. METHODS: In this retrospective chart review study, data were extracted from The Pennsylvania Trauma Systems Foundation Data Base Collection System. Eligible subjects included trauma patients aged 18 years and older, with head trauma, who presented between January 2019 and August 2023. Subjects were matched to controls who did not test positive for drugs or alcohol, matched by Injury Severity Score (ISS) category. RESULTS: Among 1088 subjects, the mean age was 63 (95% CI 62-64). The mean Injury Severity Score was 21 (95% CI 21-22). The median GCS among all subjects was 14 (IQR 6-15). Cases with alcohol or drug use were matched to controls without alcohol or drug use, and were matched by categories of Injury Severity Score. Cases with alcohol or drug use had lower GCS (median 13; IQR 3-15), compared to cases without alcohol or drug use (median 15; IQR 13-15) (p < 0.0001, Wilcoxon Rank Sum Test). CONCLUSIONS: Among patients with head trauma, intoxicated patients had statistically significant lower GCS scores as compared to matched patients with similar Injury Severity Scores.

Real-time evaluation and adaptation to facilitate rapid recruitment in a large, prospective cohort study.

BACKGROUND: Recruiting large cohorts efficiently can speed the translation of findings into care across a range of scientific disciplines and medical specialties. Recruitment can be hampered by factors such as financial barriers, logistical concerns, and lack of resources for patients and clinicians. These and other challenges can lead to underrepresentation in groups such as rural residents and racial and ethnic minorities. Here we discuss the implementation of various recruitment strategies for enrolling participants into a large, prospective cohort study, assessing the need for adaptations and making them in real-time, while maintaining high adherence to the protocol and high participant satisfaction. METHODS: While conducting a large, prospective trial of a multi-cancer early detection blood test at Geisinger, an integrated health system in central Pennsylvania, we monitored recruitment progress, adherence to the protocol, and participants' satisfaction. Tracking mechanisms such as paper records, electronic health records, research databases, dashboards, and electronic files were utilized to measure each outcome. We then reviewed study procedures and timelines to list the implementation strategies that were used to address barriers to recruitment, protocol adherence and participant satisfaction. RESULTS: Adaptations to methods that contributed to achieving the enrollment goal included offering multiple recruitment options, adopting group consenting, improving visit convenience, increasing the use of electronic capture and the tracking of data and source documents, staffing optimization via leveraging resources external to the study team when appropriate, and integrating the disclosure of study results into routine clinical care without adding unfunded work for clinicians. We maintained high protocol adherence and positive participant experience as exhibited by a very low rate of protocol deviations and participant complaints. CONCLUSION: Recruiting rapidly for large studies - and thereby facilitating clinical translation - requires a nimble, creative approach that marshals available resources and changes course according to data. Planning a rigorous assessment of a study's implementation outcomes prior to study recruitment can further ground study adaptations and facilitate translation into practice. This can be accomplished by proactively and continuously assessing and revising implementation strategies.