Doxycycline post-exposure prophylaxis for sexually transmitted infections impacts the gut antimicrobial resistome.

Doxycycline post-exposure prophylaxis (doxy-PEP) reduces bacterial sexually transmitted infections (STIs) among men who have sex with men and transgender women. While poised for widespread clinical implementation, the impact of doxy-PEP on antimicrobial resistance remains a primary concern as its effects on the gut microbiome and resistome, or the antimicrobial resistance genes (ARGs) present in the gut microbiome, are unknown. To investigate these effects, we studied participants from a randomized clinical trial who either received doxy-PEP as a one-time doxycycline 200 mg taken after condomless sex (DP arm, n = 100) or standard of care treatment (SOC arm, n = 50). From self-collected rectal swabs at enrollment (day-0) and after 6 months (month-6), we performed metagenomic DNA sequencing (DNA-seq) or metatranscriptomic RNA sequencing (RNA-seq). DNA-seq data was analyzable from 127 samples derived from 89 participants, and RNA-seq data from 86 samples derived from 70 participants. We compared the bacterial microbiome and resistome between the two study arms and over time. Tetracycline ARGs were detected in all day-0 DNA-seq samples and 85% of day-0 RNA-seq samples. The proportional mass of tetracycline ARGs in the resistome increased between day-0 and month-6 in DP participants from 46-51% in the metagenome (p = 0.02) and 4-15% in the metatranscriptome (p < 0.01), but no changes in other ARG classes were observed. Exposure to a higher number of doxycycline doses correlated with proportional enrichment of tetracycline ARGs in the metagenome (Spearman's ρ = 0.23, p < 0.01) and metatranscriptome (Spearman's ρ = 0.55, p < 0.01). Bacterial microbiome alpha diversity, beta diversity, and total bacterial mass did not differ between day-0 and month-6 samples from DP participants when assessed by either DNA-seq or RNA-seq. In an abundance-based correlation analysis, we observed an increase over time in the strength of the correlation between tetracycline ARGs and specific bacterial taxa, including some common human pathogens. In sum, doxy-PEP use over a 6-month period was associated with an increase in the proportion of tetracycline ARGs comprising the gut resistome, and an increase in the expression of tetracycline ARGs. Notably, doxy-PEP did not significantly alter alpha diversity or taxonomic composition of the gut microbiome, and did not demonstrate significant increases in non-tetracycline ARG classes. Further studies and population level surveillance are needed to understand the implications of these findings as doxy-PEP is implemented as a public health strategy.

Doxycycline as Postsexual Exposure Prophylaxis: Use, Acceptability, and Associated Sexual Health Behaviors Among a Multi-Site Sample of Clinical Trial Participants.

Doxycycline postexposure prophylaxis (doxy-PEP) reduces sexually transmitted infections (STIs) in men who have sex with men (MSM) and transgender women (TGW). In a clinical trial of doxy-PEP, we sought to assess acceptability, impact, and meaning of doxy-PEP use among MSM/TGW. We conducted semistructured, in-depth 1:1 interviews with MSM and TGW enrolled in the intervention arm of the Doxy-PEP study. We queried motivations for and meaning of use, attitudes, beliefs, adherence, effect on sexual behaviors, and partner, community, and structural factors related to use. We coded interview transcripts into content areas, followed by thematic analysis. We interviewed 44 participants (median age 38), 2% were TGW, 17% Black, 61% White, 30% Hispanic, and 45% persons with HIV. We identified three overarching themes. First, participants found doxy-PEP acceptable, and believed it was effective based on their history of STIs, easy to adhere to, and acceptable to sex partners. Second, doxy-PEP benefited their quality of life and mental health, offering "peace of mind" by reducing their anxiety about acquisition or unwitting transmission of STIs. Participants reported feeling more "in control" of preventing STIs, and positive about supporting their personal, partner, and community health. Third, impact on sexual behavior was variable, with most reporting no change or a brief initial change. Participants in a multi-site clinical trial of doxycycline for STI prevention perceived it to be efficacious, and that it provided quality-of-life benefits, including reduced anxiety and sense of control over sexual health. Doxy-PEP had limited impact on sexual behavior. Clinicaltrials.gov: NCT03980223.

Income variability and incident cardiovascular disease in diabetes: a population-based cohort study.

BACKGROUND AND AIMS: Longitudinal change in income is crucial in explaining cardiovascular health inequalities. However, there is limited evidence for cardiovascular disease (CVD) risk associated with income dynamics over time among individuals with type 2 diabetes (T2D). METHODS: Using a nationally representative sample from the Korean National Health Insurance Service database, 1 528 108 adults aged 30-64 with T2D and no history of CVD were included from 2009 to 2012 (mean follow-up of 7.3 years). Using monthly health insurance premium information, income levels were assessed annually for the baseline year and the four preceding years. Income variability was defined as the intraindividual standard deviation of the percent change in income over 5 years. The primary outcome was a composite event of incident fatal and nonfatal CVD (myocardial infarction, heart failure, and stroke) using insurance claims. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated after adjusting for potential confounders. RESULTS: High-income variability was associated with increased CVD risk (HRhighest vs. lowest quartile 1.25, 95% CI 1.22-1.27; Ptrend < .001). Individuals who experienced an income decline (4 years ago vs. baseline) had increased CVD risk, which was particularly notable when the income decreased to the lowest level (i.e. Medical Aid beneficiaries), regardless of their initial income status. Sustained low income (i.e. lowest income quartile) over 5 years was associated with increased CVD risk (HRn = 5 years vs. n = 0 years 1.38, 95% CI 1.35-1.41; Ptrend < .0001), whereas sustained high income (i.e. highest income quartile) was associated with decreased CVD risk (HRn = 5 years vs. n = 0 years 0.71, 95% CI 0.70-0.72; Ptrend < .0001). Sensitivity analyses, exploring potential mediators, such as lifestyle-related factors and obesity, supported the main results. CONCLUSIONS: Higher income variability, income declines, and sustained low income were associated with increased CVD risk. Our findings highlight the need to better understand the mechanisms by which income dynamics impact CVD risk among individuals with T2D.

Concordance between SARS-CoV-2 index individuals and their household contacts on index individual COVID-19 transmission cofactors: a comparison of self-reported and contact-reported information.

BACKGROUND: Following the outbreak of the COVID-19 pandemic, several clinical trials have evaluated postexposure prophylaxis (PEP) among close contacts of an index individual with a confirmed SARS-CoV-2 infection. Because index individuals do not directly inform the efficacy of prevention interventions, they are seldom enrolled in COVID-19 PEP studies. However, adjusting for prognostic covariates such as an index individual's COVID-19 illness and risk behaviors can increase precision in PEP efficacy estimates, so approaches to accurately collecting this information about the index individual are needed. This analysis aimed to assess whether surveying household contacts captures the same information as surveying the index individual directly. METHODS: REGN 2069/CoVPN 3502, a randomized controlled trial of COVID-19 PEP, enrolled household contacts of SARS-CoV-2 index individuals. CoVPN 3502-01 retrospectively enrolled and surveyed the index individuals. We compared responses to seven similar questions about the index individuals' transmission cofactors that were asked in both studies. We estimated the percent concordance between index individuals and their household contacts on each question, with 50% concordance considered equivalent to random chance. RESULTS: Concordance between index individuals and contacts was high on the most objective questions, approximately 97% (95% CI: 90-99%) for index individual age group and 96% (88-98%) for hospitalization. Concordance was moderate for symptoms, approximately 85% (75-91%). Concordance on questions related to the index individual's behavior was only slightly better or no better than random: approximately 62% (51-72%) for whether they received COVID-19 treatment, 68% (57-77%) for sharing a bedroom, 70% (59-79%) for sharing a common room, and 49% (39-60%) for mask wearing at home. However, while contacts were surveyed within 96 h of the index individual testing positive for SARS-CoV-2, the median time to enrollment in CoVPN 3502-01 was 240 days, which may have caused recall bias in our results. CONCLUSIONS: Our results suggest a need to survey index individuals directly in order to accurately capture their transmission cofactors, rather than relying on their household contacts to report on their behavior. The lag in enrolling participants into CoVPN 3502-01 also highlights the importance of timely enrollment to minimize recall bias.

Association Between Prepregnancy Body Mass Index and Newborn Breastfeeding Initiation.

Background: The benefits of breastfeeding a newborn are well documented. Identification of mothers who do not initiate breastfeeding is essential for developing initiatives to improve breastfeeding initiation. Methods: The study used data from the National Center for Health Statistics (NCHS) National Vital Statistics System (NVSS) birth certificate data (2014-2021) to identifying 15,599,930 in-hospital deliveries. We used multivariable logistic regression to assess the association between seven body mass index (BMI) categories and initiation of breastfeeding before hospital discharge. Prepregnancy BMI (weight in kilograms/height in meters2) included underweight (<18.5), healthy weight (18.5-24.9), overweight (25.0-29.9), Obesity Class I (30-34.9), Obesity Class II (35-39.9), and Obesity Class III (40-49.9) classes, in addition to a class newly identified in the literature as super obese (≥50), hereafter "Obesity Class IV." "This project was deemed non-human subjects research." Results: Approximately, 83% of mothers initiated breastfeeding before hospital discharge. Compared to mothers with a healthy prepregnancy BMI, the likelihood of breastfeeding initiation before hospital discharge decreased with increasing prepregnancy BMI. Specifically, we found reduced likelihood of initiation for mothers who were overweight (adjusted odds ratio [aOR]: 0.952, 95% confidence interval [CI]: [0.948-0.955]), Obesity Class I (aOR: 0.884, 95% CI: [0.880-0.888]), Obesity Class II (aOR: 0.816, 95% CI: [0.811-0.820]), Obesity Class III (aOR: 0.750, 95% CI: [0.745-0.755]), and Obesity Class IV (aOR 0.672: 95% CI: [0.662-0.683]). Conclusions: Mothers with prepregnancy BMI above the healthy range had reduced likelihood of initiating breastfeeding prior hospital discharge. This information should be used to develop and initiate interventions for mothers who wish to breastfeed but may need additional lactation assistance support.

Breastfeeding Intentions among Pregnant Women Enrolled in a Healthy Start Program in Arkansas.

INTRODUCTION: Exclusive breastfeeding is recognized as the optimal source of nutrition for infants. Although exclusive breastfeeding rates have increased overall in the United States, substantial inequities exist in breastfeeding among individuals of different socioeconomic statuses, races, and ethnicities. The purpose of this study was to examine characteristics associated with exclusive breastfeeding intentions among pregnant women in Arkansas enrolled in a Healthy Start program. METHODS: The current study included a cross-sectional design, with a sample of 242 pregnant women in Arkansas enrolled in a Healthy Start program. RESULTS: The majority of the participants (56.6%) indicated their infant feeding intentions included a combination of breastfeeding and formula feeding. There were substantial differences in breastfeeding intentions among women of different races/ethnicities, with 18.5% of Marshallese women indicating they planned to exclusively breastfeed, compared to 42.1% of White women, 47.6% of Black women, and 31.8% of Hispanic women (p < 0.001). Women over the age of 18 and with higher educational attainment were more likely to intend on exclusively breastfeeding. DISCUSSION: This is the first study to examine characteristics associated with exclusive breastfeeding intentions among pregnant women in Arkansas enrolled in a Healthy Start program. The study found that race/ethnicity and age were most strongly associated with breastfeeding intentions. These findings are critical to identifying populations for resource allocation and to developing culturally-tailored interventions to help women in Arkansas achieve their desired infant feeding methods.

The association between rurality, dual Medicare/Medicaid eligibility and chronic conditions with telehealth utilization: An analysis of 2019-2020 national Medicare claims.

INTRODUCTION: Telehealth services have the potential to increase healthcare access among underserved populations, such as rural residents and racial/ethnic minority groups. The COVID-19 public health emergency led to unprecedented growth in telehealth utilization, but evidence suggests the growth has not been equitable across all patient populations. This study aimed to explore whether telehealth utilization and expansion changed equitably from 2019 to 2020 among sub-groups of Medicare beneficiaries. METHODS: We conducted an analysis of telehealth utilization among a 20% random sample of 2019-2020 Medicare beneficiaries on a national level. We fit multivariable logistic regression models and calculated average marginal effects (AME) to assess the association between demographic and clinical characteristics on telehealth utilization. RESULTS: We found telehealth utilization was less likely among non-Hispanic Black/African-American (2019: adjusted odds ratio [aOR] = 0.77, AME = -0.15; 2020: aOR = 0.85, AME = -3.50) and Hispanic (2019: aOR = 0.79, AME = -0.13; 2020: aOR = 0.87, AME = -2.89) beneficiaries, relative to non-Hispanic White beneficiaries in both 2019 and 2020, with larger disparities in 2020. Rural beneficiaries were more likely to utilize telehealth than urban beneficiaries in 2019 (aOR = 2.62, AME = 0.84), but less likely in 2020 (aOR = 0.57, AME = -14.47). In both years, dually eligible Medicare/Medicaid beneficiaries were more likely than non-dually eligible beneficiaries to utilize telehealth (2019: aOR = 4.75, AME = 0.84; 2020: aOR = 1.34, AME = 2.25). However, the effects of dual eligibility and rurality changed in both models as the number of chronic conditions increased. DISCUSSION: We found evidence of increasing disparities in telehealth utilization among several Medicare beneficiary sub-groups in 2020 relative to 2019, including individuals of minority race/ethnicity, rural residents, and dually eligible beneficiaries, with disparities increasing among individuals with more chronic conditions. Although telehealth has the potential to address health inequities, our findings suggest that many of the patients in greatest need of healthcare are least likely to utilize telehealth services.

Association of copayments with healthcare utilization and expenditures among Medicaid enrollees with a substance use disorder.

BACKGROUND: The purpose of this study was to examine the association between copayments and healthcare utilization and expenditures among Medicaid enrollees with substance use disorders. METHODS: This study used claims data (2020-2021) from a private insurer participating in Arkansas's Medicaid expansion. We compared service utilization and expenditures for enrollees in different Medicaid program structures with varying copayments. Enrollees with incomes above 100 % FPL (N = 10,240) had copayments for substance use treatment services while enrollees below 100 % FPL (N = 2478) did not. Demographic, diagnostic, utilization, and cost information came from claims and enrollment information. The study identified substance use and clinical comorbidities using claims from July through December 2020 and evaluated utilization and costs in 2021. Generalized linear models (GLM) estimated outcomes using single equation and two-part modeling. A gamma distribution and log link were used to model expenditures, and negative binomial models were used to model utilization. A falsification test comparing behavioral health telemedicine utilization, which had no cost sharing in either group, assessed whether differences in the groups may be responsible for observed findings. RESULTS: Substance use enrollees with copayments were less likely to have a substance use or behavioral health outpatient (-0.04 PP adjusted; p = 0.001) or inpatient visit (-0.04 PP; p = 0.001) relative to their counterparts without copayments, equal to a 17 % reduction in substance use or behavioral health outpatient services and a nearly 50 % reduction in inpatient visits. The reduced utilization among enrollees with a copayment was associated with a significant reduction in total expenses ($954; p = 0.001) and expenses related to substance use or behavioral health services ($532; p = 0.001). For enrollees with at least one behavioral health visit, there were no differences in outpatient or inpatient utilization or expenditures between enrollees with and without copayments. Copayments had no association with non-behavioral health or telemedicine services where neither group had cost sharing. CONCLUSION: Copayments serve as an initial barrier to substance use treatment, but are not associated with the amount of healthcare utilization conditional on using services. Policy makers and insurers should consider the role of copayments for treatment services among enrollees with substance use disorders in Medicaid programs.

The malarial blood transcriptome: translational applications.

The blood transcriptome of malaria patients has been used extensively to elucidate the pathophysiological mechanisms and host immune responses to disease, identify candidate diagnostic and prognostic biomarkers, and reveal new therapeutic targets for drug discovery. This review gives a high-level overview of the three main translational applications of these studies (diagnostics, prognostics, and therapeutics) by summarising recent literature and outlining the main limitations and future directions of each application. It highlights the need for consistent and accurate definitions of disease states and subject groups and discusses how prognostic studies must distinguish clearly between analyses that attempt to predict future disease states and those which attempt to discriminate between current disease states (classification). Lastly it examines how many promising therapeutics fail due to the choice of imperfect animal models for pre-clinical testing and lack of appropriate validation studies in humans, and how future transcriptional studies may be utilised to overcome some of these limitations.

A novel computational pipeline for var gene expression augments the discovery of changes in the Plasmodium falciparum transcriptome during transition from in vivo to short-term in vitro culture.

The pathogenesis of severe Plasmodium falciparum malaria involves cytoadhesive microvascular sequestration of infected erythrocytes, mediated by P. falciparum erythrocyte membrane protein 1 (PfEMP1). PfEMP1 variants are encoded by the highly polymorphic family of var genes, the sequences of which are largely unknown in clinical samples. Previously, we published new approaches for var gene profiling and classification of predicted binding phenotypes in clinical P. falciparum isolates (Wichers et al., 2021), which represented a major technical advance. Building on this, we report here a novel method for var gene assembly and multidimensional quantification from RNA-sequencing that outperforms the earlier approach of Wichers et al., 2021, on both laboratory and clinical isolates across a combination of metrics. Importantly, the tool can interrogate the var transcriptome in context with the rest of the transcriptome and can be applied to enhance our understanding of the role of var genes in malaria pathogenesis. We applied this new method to investigate changes in var gene expression through early transition of parasite isolates to in vitro culture, using paired sets of ex vivo samples from our previous study, cultured for up to three generations. In parallel, changes in non-polymorphic core gene expression were investigated. Modest but unpredictable var gene switching and convergence towards var2csa were observed in culture, along with differential expression of 19% of the core transcriptome between paired ex vivo and generation 1 samples. Our results cast doubt on the validity of the common practice of using short-term cultured parasites to make inferences about in vivo phenotype and behaviour.

Comprehensive and Integrated Services in Specialty Mental Health Treatment Facilities in the US: Differences by the Racial/Ethnic Composition of the Facility's Clientele, 2020.

The integration of multiple ancillary services into mental health treatment settings may improve outcomes, but there are no national studies addressing whether comprehensive services are distributed equitably. We investigated whether the availability of a wide range of service types differs based on the facility's racial/ethnic composition. We used the 2020 National Mental Health Services Survey to identify twelve services offered in outpatient mental health treatment facilities (N = 1,074 facilities). We used logistic regression to model each of the twelve services, predicted by the percentage of a facility's clientele that was White, Black, and Hispanic, adjusted for covariates. Facilities with the highest proportions of Black and Hispanic clientele demonstrated the lowest predicted probabilities of offering comprehensive and integrated services. Our findings offer context around upstream factors that may, in part, drive treatment disparities. We orient our findings around frameworks of structural racism and inequities in mental healthcare.

Predicting pediatric severe asthma exacerbations: an administrative claims-based predictive model.

OBJECTIVE: Previous machine learning approaches fail to consider race and ethnicity and social determinants of health (SDOH) to predict childhood asthma exacerbations. A predictive model for asthma exacerbations in children is developed to explore the importance of race and ethnicity, rural-urban commuting area (RUCA) codes, the Child Opportunity Index (COI), and other ICD-10 SDOH in predicting asthma outcomes. METHODS: Insurance and coverage claims data from the Arkansas All-Payer Claims Database were used to capture risk factors. We identified a cohort of 22,631 children with asthma aged 5-18 years with 2 years of continuous Medicaid enrollment and at least one asthma diagnosis in 2018. The goal was to predict asthma-related hospitalizations and asthma-related emergency department (ED) visits in 2019. The analytic sample was 59% age 5-11 years, 39% White, 33% Black, and 6% Hispanic. Conditional random forest models were used to train the model. RESULTS: The model yielded an area under the curve (AUC) of 72%, sensitivity of 55% and specificity of 78% in the OOB samples and AUC of 73%, sensitivity of 58% and specificity of 77% in the training samples. Consistent with previous literature, asthma-related hospitalization or ED visits in the previous year (2018) were the two most important variables in predicting hospital or ED use in the following year (2019), followed by the total number of reliever and controller medications. CONCLUSIONS: Predictive models for asthma-related exacerbation achieved moderate accuracy, but race and ethnicity, ICD-10 SDOH, RUCA codes, and COI measures were not important in improving model accuracy.

Association of the COVID-19 Pandemic With Women, Infants, and Children (WIC) Receipt Among Pregnant Individuals: United States, 2016-2022.

Objectives. To evaluate the effect of COVID-19 on Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) receipt among pregnant individuals overall and by race/ethnicity. Methods. We measured changes in WIC receipt among Medicaid-covered births (n = 10 484 697) from the US National Center for Health Statistics Natality Files (2016-2022). Our interrupted time series logistic model included a continuous monthly variable, a binary post-COVID variable, and a continuous slope shift variable. We additionally fit separate models for each race/ethnicity relative to White individuals, using interaction terms between the time series variables and race/ethnicity. Results. We found decreases in WIC receipt (adjusted odds ratio [AOR] = 0.899; P < .001) from before COVID (66.6%) to after COVID (57.9%). There were larger post-COVID decreases for American Indian/Alaska Native (AOR = 0.850; P < .001), Native Hawaiian/Other Pacific Islander (AOR = 0.877; P = .003), Black (AOR = 0.974; P < .001), and Hispanic (AOR = 0.972, P < .001) individuals relative to White individuals. Conclusions. The greater reductions in WIC receipt among minoritized individuals highlights a pathway through which the pandemic may have widened gaps in already disparate maternal and infant health. Public Health Implications. Continued efforts to increase WIC utilization are needed overall and among minoritized populations. (Am J Public Health. 2023;113(S3):S240-S247. https://doi.org/10.2105/AJPH.2023.307525).

Canine immune cells express high levels of CB1 and CB2 cannabinoid receptors and cannabinoid-mediated alteration of canine cytokine production is vehicle-dependent.

With the increased popularity and societal acceptance of marijuana and cannabidiol (CBD) use in humans, there is an interest in using cannabinoids in veterinary medicine. There have been a few placebo-controlled clinical trials in dogs suggesting that cannabis-containing extracts are beneficial for dogs with inflammatory diseases such as osteoarthritis, and there is growing interest in their immunosuppressive potential for the treatment of immune-mediated diseases. Since cannabinoids exhibit anti-inflammatory and immunosuppressive effects in many species, the purpose of these studies was to examine whether the plant-derived cannabinoids, CBD and Δ9-tetrahydrocannabinol (THC), would also suppress immune function in canine peripheral blood mononuclear cells (PBMCs). Another goal was to characterize expression of the cannabinoid receptors, CB1 and CB2, in canine immune cells. We hypothesized that CBD and THC would suppress stimulated cytokine expression and that both cannabinoid receptors would be expressed in canine immune cells. Surprisingly, cannabinoid suppressive effects in canine PMBCs were quite modest, with the most robust effect occurring at early stimulation times and predominantly by THC. We further showed that cannabinoid-mediated suppression was dog- and vehicle-dependent with CBD and THC delivered in dimethyl sulfoxide (DMSO) producing more immune suppressive effects as compared to ethanol (ETOH). PCR, flow cytometry, and immunohistochemical staining demonstrated that both CB1 and CB2 are expressed in canine immune cells. Together these data show that canine immune cells are sensitive to suppression by cannabinoids, but more detailed studies are needed to further understand the mechanisms and broad effects of these compounds in the dog.

Streptococcus pneumoniae associated hemolytic uremic syndrome in children.

Introduction: Previous small-scale, single-center investigations of Streptococcus pneumoniae associated hemolytic uremic syndrome (SpHUS) have shown increased disease severity among SpHUS relative to non-SpHUS patients. Our study compares the impact of S. pneumoniae on patient outcomes between SpHUS cases and non-SpHUS controls using the national, multicenter retrospective Pediatric Health Information Systems (PHIS) Database. Methods: Children <18 years of age with a diagnosis of HUS were included. Univariate analyses and multivariable linear and logistic regressions were utilized to assess the impact of S. pneumoniae on mortality, length of stay (LOS), intensive care unit admission (ICU), and mechanical ventilation use. Models were adjusted for demographic and clinical characteristics, including cardiac, neurologic, pulmonary, gastrointestinal, immunologic and renal clinical complications. Results: Of 3,952 index HUS hospitalizations, 231 (5.8%) were due to SpHUS. SpHUS patients had worse outcomes, including longer hospital stays, increased rate of ICU admission, and increased use of mechanical ventilation (p < 0.001 for all). There was a strong positive relationship between clinical complications and adverse outcomes. After adjusting for covariates, SpHUS was associated with an increase in hospital LOS by 3.47 days (p = 0.009) and overall ICU-LOS by 4.21 days (p < 0.001). SpHUS was also associated with increased likelihood of mechanical ventilation (OR: 3.08; p < 0.001), with no increase in ICU admission (p = 0.070) and in-hospital mortality (p = 0.3874). Discussion: Our study highlights that SpHUS patients are at increased risk of multiple adverse outcomes likely due to the summative impact of pneumococcal infection and HUS as well as more frequent clinical complications.

Economic Report of General Inpatient Hospice in an Academic Medical Center.

This study examined if there was difference in cost of care after implementation of scattered bed inpatient hospice, first implemented in October 2021 in an Academic Medical Center in Arkansas. This retrospective, cross-sectional study compared the cost of care during the pre-implementation phase (n = 121, July 2020-March 2021) to patients admitted to hospice care (n = 84, October 2021-June 2022). Hospice length of stay (LOS) was 4 times longer than the LOS after a Do Not Resuscitate order (DNR) was placed for patients in the pre-implementation period. The end of life costs after the implementation of inpatient hospice was 69% less than the end of life costs in the pre-implementation period.

Characteristics of nursing homes with high percentages of falls and falls with injuries among residents with obesity.

BACKGROUND: Obesity among United States nursing home (NH) residents is increasing. These residents have special care needs, which increases their risk for falls and falls with injuries. NH are responsible for ensuring the health of their residents, including minimizing falls. However, given the special care needs of residents with obesity, different factors may be important for developing programs to minimize falls among this group. AIM: We aimed to identify NH characteristics associated with falls and falls with injuries among residents with obesity. METHOD: We used resident assessment data and logistic regression analysis. RESULTS: We found that rates of falls and falls with injuries among residents with obesity varied significantly based on for-profit status, size, acuity index, obesity rate among residents, and registered nurse hours per patient day. CONCLUSION: Recommendations are made as to how NH may be able to lower risk for falls and falls with injuries among their residents with obesity.

COVID-19 Vaccine Uptake Among Students in Public Institutions of Higher Education in Arkansas in 2021.

OBJECTIVE: Disparities in COVID-19 vaccine coverage among college students are not well studied. We analyzed the extent of COVID-19 vaccination among all students at public institutions of higher education in Arkansas in spring and fall 2021 and examined factors associated with vaccination rates. METHODS: We matched student enrollment data for the spring and fall 2021 semesters separately with immunization registry data to determine the COVID-19 vaccination status of students in each semester. We used multivariable logistic regression to determine variables associated with being fully vaccinated. RESULTS: Overall, by the end of the fall 2021 semester, 49.1% of students were fully vaccinated, compared with 52.3% of students at the end of the spring 2021 semester. However, we observed important differences between student groups. Students who were in rural areas (vs urban areas), freshman (vs all other class years), at a 2-year college (vs 4-year college), non-Hispanic Black (vs Hispanic or non-Hispanic White), or in a nonhealth major (vs health major) were less likely to be fully vaccinated. CONCLUSION: Given the disparities in COVID-19 vaccine coverage among college students, continued efforts are needed in this young, but important, population segment to address students' confidence in vaccines and to make vaccines more available and accessible on and near campuses. Novel approaches for tailored messaging and interventions to facilitate vaccine uptake may be needed for groups such as non-Hispanic Black students and students in rural areas who are less likely, compared with their counterparts, to accept COVID-19 vaccines.

Asthma Quality Measurement and Adverse Outcomes in Medicaid-Enrolled Children.

OBJECTIVES: To determine the association between the asthma medication ratio (AMR) quality measure and adverse outcomes among Medicaid-enrolled children with asthma in Arkansas, given concerns regarding the utility of the AMR in evaluating pediatric risk of asthma-related adverse events (AAEs). METHODS: We used the Arkansas All-Payer Claims Database to identify Medicaid-enrolled children with asthma using a nonrestrictive case definition and additionally using the standard Healthcare Effectiveness Data and Information Set (HEDIS) persistent asthma definition. We assessed the AMR using the traditional dichotomous HEDIS AMR categorization and across 4 expanded AMR categories. Regression models assessed associations between AMR and AAE including hospitalization and emergency department utilization, with models conducted overall and by race and ethnicity. RESULTS: Of the 22 788 children in the analysis, 9.0% had an AAE (6.7% asthma-related emergency department visits; 3.0% asthma-related hospitalizations). We found poor correlation between AMR and AAE, with higher rates of AAE (10.5%) among children with AMR ≥0.5 compared with AMR <0.5 (8.5%; P < .001), and similar patterns stratified by racial and ethnic subgroups. Expanded AMR categorization revealed notable differences in associations between AMR and AAEs, compared with traditional dichotomous categorization, with worse performance in Black children. CONCLUSIONS: The AMR performed poorly in identifying risk of adverse outcomes among Medicaid-enrolled children with asthma. These findings underscore concerns of the utility of the AMR in population health management and reliance on restrictive HEDIS definitions. New population health frameworks incorporating broader considerations that accurately identify at-risk children are needed to improve equity in asthma management and outcomes.

Association Between Mental Health Conditions at the Hospitalization for Birth and Postpartum Hospital Readmission.

Background: The relationship between physical comorbidities and postpartum hospital readmission is well studied, with less research regarding the impact of mental health conditions on postpartum readmission. Methods: Using hospital discharge data (2016-2019) from the Hospital Cost and Utilization Project Nationwide Readmissions Database (n = 12,222,654 weighted), we evaluated the impact of mental health conditions (0, 1, 2, and ≥3), as well as five individual conditions (anxiety, depressive, bipolar, schizophrenic, and traumatic/stress-related conditions) on readmission within 42 days, 1-7 days ("early"), and 8-42 days ("late") of hospitalization for birth. Results: In adjusted analyses, the rate of 42-day readmission was 2.2 times higher for individuals with ≥3 mental health conditions compared to those with none (3.38% vs. 1.56%; p < 0.001), 50% higher among individuals with 2 mental health conditions (2.33%; p < 0.001), and 40% higher among individuals with 1 mental health condition (2.17%; p < 0.001). We found increased adjusted risk of 42-day readmission for individuals with anxiety (1.98% vs. 1.59%; p < 0.001), bipolar (2.38% vs. 1.60%; p < 0.001), depressive (1.93% vs. 1.60%; p < 0.001), schizophrenic (4.00% vs. 1.61%; p < 0.001), and traumatic/stress-related conditions (2.21% vs. 1.61%; p < 0.001), relative to individuals without the respective condition. Mental health conditions had larger impacts on late (8-42 day) relative to early (1-7 day) readmission. Conclusions: This study found strong relationships between mental health conditions during the hospitalization for birth and readmission within 42 days. Efforts to reduce the high rates of adverse perinatal outcomes in the United States should continue to address the impact of mental health conditions during pregnancy and throughout the postpartum period.