Predictors of Intensive Care Unit Admissions in Patients Presenting with Coronavirus Disease 2019.

Background Increased mortality rates among coronavirus disease 2019 (COVID-19) positive patients admitted to intensive care units (ICUs) highlight a compelling need to establish predictive criteria for ICU admissions. The aim of our study was to identify criteria for recognizing patients with COVID-19 at elevated risk for ICU admission. Methods We identified patients who tested positive for COVID-19 and were hospitalized between March and May 2020. Patients' data were manually abstracted through review of electronic medical records. An ICU admission prediction model was derived from a random sample of half the patients using multivariable logistic regression. The model was validated with the remaining half of the patients using c-statistic. Results We identified 1,094 patients; 204 (18.6%) were admitted to the ICU. Correlates of ICU admission were age, body mass index (BMI), quick Sequential Organ Failure Assessment (qSOFA) score, arterial oxygen saturation to fraction of inspired oxygen ratio, platelet count, and white blood cell count. The c-statistic in the derivation subset (0.798, 95% confidence interval [CI]: 0.748, 0.848) and the validation subset (0.764, 95% CI: 0.706, 0.822) showed excellent comparability. At 22% predicted probability for ICU admission, the derivation subset estimated sensitivity was 0.721, (95% CI: 0.637, 0.804) and specificity was 0.763, (95% CI: 0.722, 0.804). Our pilot predictive model identified the combination of age, BMI, qSOFA score, and oxygenation status as significant predictors for ICU admission. Conclusion ICU admission among patients with COVID-19 can be predicted by age, BMI, level of hypoxia, and severity of illness.

Associations of per- and polyfluoroalkyl substances with maternal early second trimester sex-steroid hormones.

BACKGROUND/AIMS: Pregnant women are exposed to persistent environmental contaminants, including per- and polyfluoroalkyl substances (PFAS) that disrupt thyroid function. However, it is unclear if PFAS alter maternal sex-steroid hormone levels, which support pregnancy health and fetal development. METHODS: In Illinois women with relatively high socioeconomic status (n = 460), we quantified perfluorononanoic (PFNA), perfluorooctane sulfonic (PFOS), perfluorooctanoic (PFOA), methyl-perfluorooctane sulfonamide acetic acid, perfluorohexanesulphonic (PFHxS), perfluorodecanoic (PFDeA), and perfluoroundecanoic (PFUdA) acid concentrations in fasting serum samples at median 17 weeks gestation, along with plasma progesterone, testosterone, and estradiol. We evaluated covariate-adjusted associations of ln-transformed hormones with each ln-transformed PFAS individually using linear regression and with the PFAS mixture using quantile-based g-computation (QGComp). RESULTS: Interquartile range (IQR) increases in PFOS were associated with higher progesterone (%Δ 3.0; 95%CI: -0.6, 6.6) and estradiol (%Δ: 8.1; 95%CI: 2.2, 14.4) levels. Additionally, PFHxS was positively associated with testosterone (%Δ: 10.2; 95%CI: 4.0, 16.7), whereas both PFDeA and PFUdA were inversely associated with testosterone (%Δ: -5.7; 95%CI: -10.3, -0.8, and %Δ: -4.1; 95%CI: -7.6, -0.4, respectively). The IQR-standardized PFAS mixture was not associated with progesterone (%Δ: 1.6; 95%CI: -5.8, 9.2), due equal partial positive (%Δ: 9.2; driven by PFOA) and negative (%Δ: -7.4; driven by PFOS) mixture associations. Similarly, the mixture was not associated with testosterone (%Δ: 5.3; 95%CI: -9.0, 20.1), due to similar partial positive (%Δ: 23.6; driven by PFHxS) and negative (%Δ: -17.4; driven by PFDeA) mixture associations. However, we observed a slightly stronger partial positive (%Δ: 25.6; driven by PFOS and PFUdA) than negative (%Δ: -16.3; driven by PFOA) association resulting in an overall non-significant positive trend between the mixture and estradiol (%Δ: 8.5; 95%CI: -3.7, 20.9). CONCLUSION: PFAS mixture modeled using QGComp was not associated with maternal sex-steroid hormones due to potential opposing effects of certain PFAS. Additional prospective studies could corroborate these findings.

Associations of per- and polyfluoroalkyl substances with maternal metabolic and inflammatory biomarkers in early-to-mid-pregnancy.

BACKGROUND: Per- and polyfluoroalkyl substances (PFAS) can disrupt metabolism. Early-to-mid pregnancy is characterized by amplified metabolic processes and inflammation to support maternal adaptations and fetal growth. Thus, we cross-sectionally evaluated whether PFAS are individually and jointly associated with these processes in early-to-mid pregnancy. METHODS: Pregnant Illinois women (n = 452) provided fasted blood samples at median 17 weeks gestation. We quantified serum perfluorononanoic (PFNA), perfluorooctane sulfonic (PFOS), perfluorooctanoic (PFOA), methyl-perfluorooctane sulfonamide acetic acid (Me-PFOSA-AcOH), perfluorohexanesulfonic (PFHxS), perfluorodecanoic (PFDeA), and perfluoroundecanoic (PFUdA) acid. Key outcomes were plasma glucose, insulin, C-peptide, insulin-like growth factor 1 (IGF-1), adiponectin, leptin, triglycerides, free fatty acids, total cholesterol, high-density lipoprotein (HDL) cholesterol, C-reactive protein, tumor necrosis factor alpha (TNF-α), monocyte chemoattractant protein-1 (MCP-1), and interleukin 6. We calculated homeostatic model assessment for insulin resistance (HOMA-IR), low-density lipoprotein (LDL) cholesterol, and very low-density lipoprotein (VLDL). We evaluated associations of PFAS with each metabolic/inflammatory biomarker individually using covariate-adjusted linear regression and jointly using quantile-based g-computation. RESULTS: In linear regression, all PFAS (except Me-PFOSA-AcOH) were negatively associated with insulin, HOMA-IR, and leptin, whereas all PFAS were positively associated with HDL cholesterol. We also observed negative associations of some PFAS with TNF-α and MCP-1; positive associations with adiponectin and total cholesterol also emerged. Additionally, PFOS was positively, whereas Me-PFOSA-AcOH was negatively, associated with triglycerides and VLDL. Each 25% increase in the PFAS mixture was associated with -31.3% lower insulin (95%CI: -45.8, -12.9), -31.9% lower HOMA-IR (95%CI: -46.4, -13.4), and -9.4% lower leptin (95%CI: -17.3, -0.8), but 7.4% higher HDL cholesterol (95%CI: 4.6, 10.3). For most outcomes, the major contributors to the PFAS mixture often differed compared to single-PFAS analyses. IMPLICATIONS: Individual and joint PFAS exposures were associated with markers of maternal metabolism and inflammation in pregnancy. Further investigation is needed to elucidate possible mechanisms and consequences of these findings.

Associations of urinary non-persistent endocrine disrupting chemical biomarkers with early-to-mid pregnancy plasma sex-steroid and thyroid hormones.

BACKGROUND/OBJECTIVES: Pregnant women are exposed to numerous endocrine disrupting chemicals (EDCs) that can affect hormonal pathways regulating pregnancy outcomes and fetal development. Thus, we evaluated overall and fetal sex-specific associations of phthalate/replacement, paraben, and phenol biomarkers with sex-steroid and thyroid hormones. METHODS: Illinois women (n = 302) provided plasma for progesterone, estradiol, testosterone, free T4 (FT4), total T4 (TT4), and thyroid stimulating hormone (TSH) at median 17 weeks gestation. Women also provided up-to-five first-morning urine samples monthly across pregnancy (8-40 weeks), which we pooled to measure 19 phthalate/replacement metabolites (reflecting ten parent compounds), three parabens, and six phenols. We used linear regression to evaluate overall and fetal sex-specific associations of biomarkers with hormones, as well as weighted quantile sum and Bayesian kernel machine regression (BKMR) to assess cumulative associations, non-linearities, and chemical interactions. RESULTS: In women of relatively high socioeconomic status, several EDC biomarkers were associated with select hormones, without cumulative or non-linear associations with progesterone, FT4, or TT4. The biomarker mixture was negatively associated with estradiol (only at higher biomarker concentrations using BKMR), testosterone, and TSH, where each 10% mixture increase was associated with -5.65% (95% CI: -9.79, -1.28) lower testosterone and -0.09 µIU/mL (95% CI: -0.20, 0.00) lower TSH. Associations with progesterone, testosterone, and FT4 did not differ by fetal sex. However, in women carrying females, we identified an inverted u-shaped relationship of the mixture with estradiol. Additionally, in women carrying females, each 10% increase in the mixture was associated with 1.50% (95% CI: -0.15, 3.18) higher TT4, whereas in women carrying males, the mixture was associated with -1.77% (95% CI: -4.08, 0.58) lower TT4 and -0.18 µIU/mL (95% CI: -0.33, -0.03) lower TSH. We also identified select chemical interactions. CONCLUSION: Some biomarkers were associated with early-to-mid pregnancy hormones. There were some sex-specific and non-linear associations. Future studies could consider how these findings relate to pregnancy/birth outcomes.

Venous Thromboembolism Risk Assessment in Hospitalized Cancer Patients: A Single Center Study.

This study aimed to identify predictors of venous thromboembolism (VTE) in hospitalized cancer patients and develop a predictive model using demographic, clinical, and laboratory data. Our analysis showed that patient groups categorized under a very high risk, and high risk, patients with low hemoglobin levels and renal disease were at a significantly increased risk of developing VTE. We developed a VTE risk-assessment model (RAM) with moderate discriminatory performance, high specificity, and negative predictive value, indicating its potential utility in identifying patients without VTE risk. However, the model's positive predictive value and sensitivity were low due to the low prevalence of VTE within the analyzed population. Future studies are needed to analyze additional predictive factors, and to validate the effectiveness of our VTE RAM to safely rule out VTE, compare it with other VTE RAMs in hospitalized cancer patients, and address any limitations of our study.

Four recommendations to tackle the complex reality of transdisciplinary, natural experiment research.

Natural experiments are often used to study interventions in which randomization to control versus intervention conditions are impossible. Nature-based interventions (i.e., programs designed to increase human interaction with nature and improve human health) are commonly studied as natural experiments. We used a natural experiment design to explore the benefits of ecological rehabilitation of parks on biodiversity and resident health in low-income, minoritized neighborhoods in Detroit, MI. Given the complexities and interconnectedness of lived experiences, community needs, and ecological health, this research design has presented challenges. Based on our experiences, we pose four key recommendations for researchers and practitioners conducting natural experiments, nature-based interventions, and those working in low-income, minoritized neighborhoods. We use the explicit examples of challenges faced as rationale for these recommendations. The key recommendations are (1) Engage with community leaders; (2) Build a transdisciplinary team and work closely; (3) Examine privilege; and (4) Create a unified vision.

Feasibility of a Food Delivery Intervention during Pregnancy in a Rural US Population: The PEAPOD Pilot Study.

Pregnancy nutrition is important for maternal and child health and may affect the development of the infant gut microbiome. Our objective was to assess the feasibility of implementing a food-based intervention designed to increase fiber intake among pregnant women in a rural setting. Participants were enrolled (N = 27) mid-pregnancy from a prenatal care clinic in rural Michigan, randomized to intervention (N = 13) or usual care (N = 14), and followed to 6 weeks postpartum. The intervention was designed to be easily replicable and scalable by partnering with hospital foodservices and included non-perishable high fiber foods and recipes, as well as weekly delivery of salads, soup, and fresh fruit. Surveys, maternal blood, urine, and stool were collected at 24- and 36-weeks gestation and at 6 weeks postpartum. Infant stool was collected at 6 weeks. Participants were 100% White (7% Hispanic White, 7% Native American and White); 55% with education < 4-year college degree. Data on dietary intake and urinary trace elements are presented as evidence of feasibility of outcome measurement. Retention was high at 93%; 85% reported high satisfaction. The intervention described here can be replicated and used in larger, longer studies designed to assess the effects of pregnancy diet on the establishment of the infant gut microbiome and related health outcomes.

Understanding the Impact of Perceived Social Support for Breastfeeding Among African American Women: Results From the Mama Bear Feasibility Trial.

PURPOSE: Perceived Social Support (PSS) can impact breastfeeding behaviors, and a lack of PSS potentially contributes to disparities in breastfeeding rates for African American women (AA). Objectives were to describe PSS at two timepoints and test associations between PSS and breastfeeding intensity for AA. METHODS: Data are from a feasibility trial of breastfeeding support among AA. The Hughes Breastfeeding Support Scale was used to measure PSS (Emotional, Informational, Tangible; total range = 30-120) in pregnancy (T1, n = 32) and early postpartum (T2, n = 31). Scale means were compared with t-tests. Associations between PSS at T1 and breastfeeding intensity (ie, quantitative measure of breastfeeding) were assessed with linear regression. RESULTS: Total PSS (mean ± SE) was high at both time points (T1 = 90.5 ± 4.8; T2 = 92.8 ± 3.1). At T2, older participants or those living with a partner had higher total PSS scores compared to those younger or living alone. Emotional PSS was significantly higher at T2 than T1 with no differences in tangible or informational PSS over time. Mixed-feeding, exclusive breastfeeding, and exclusive formula feeding was distributed at 39%, 32%, and 29%, respectively. Total PSS was not associated with breastfeeding intensity. CONCLUSION: Women reported high levels of social support, and emotional PSS increased over time in this small sample of AA. PSS and sources of PSS are understudied, especially among AA, and future studies should explore quantitative methods to assess PSS. The results of such assessments can then be used to design breastfeeding support interventions.

Associations of individual and cumulative urinary phthalate and replacement biomarkers with gestational weight gain through late pregnancy.

BACKGROUND/AIMS: Phthalates and their replacements are endocrine/metabolic disruptors that may impact gestational weight gain (GWG) - a pregnancy health indicator. We investigated overall and fetal sex-specific associations of individual and cumulative phthalate/replacement biomarkers with GWG. METHODS: Illinois women (n = 299) self-reported their weight pre-pregnancy and at their final obstetric appointment before delivery (median 38 weeks). We calculated pre-pregnancy body mass index and gestational age-specific GWG z-scores (GWGz). We quantified 19 phthalate/replacement metabolites (representing 10 parent compounds) in pools of up-to-five first-morning urine samples, collected approximately monthly between 8 and 40 weeks gestation. We used linear regression, quantile-based g-computation (QGComp), and weighted quantile sum regression (WQSR) to evaluate associations of ten biomarkers (individual metabolites or parent molar-sums) individually or as mixtures (in interquartile range intervals) with GWGz. We evaluated associations in all women and stratified by fetal sex. RESULTS: Individually, sums of metabolites of di(2-ethylhexyl) phthalate (Æ©DEHP), di(isononyl) cyclohexane-1,2-dicarboxylate (Æ©DiNCH), and di(2-ethylhexyl) terephthalate (Æ©DEHTP) had consistent inverse associations with GWGz, and some associations were fetal sex-specific. When evaluating phthalates/replacements as a mixture, QGComp identified Æ©DEHP, Æ©DEHTP, and mono-(3-carboxypropyl) phthalate, along with sum of di(isononyl) phthalate metabolites (Æ©DiNP) and monobenzyl phthalate as notable contributors to lower and higher GWGz, respectively, resulting in a marginal inverse joint association in all women (ß: -0.29; 95% CI: -0.70, 0.12). In women carrying females, Æ©DEHP contributed to the marginal inverse joint association (ß: -0.54; 95% CI: -1.09, 0.03). However, there was no overall association in women carrying males (ß: 0.00; 95% CI: -0.60, 0.59), which was explained by approximately equal negative (driven by Æ©DEHTP) and positive (driven by Æ©DiNP) partial associations. WQSR analyses consistently replicated these QGComp findings. CONCLUSIONS: Biomarkers of phthalates/replacements were fetal sex-specifically associated with GWGz. Because Æ©DEHTP contributed substantively to mixture associations, additional studies in pregnant women may be needed around this plasticizer replacement.

Maternal diet quality moderates associations between parabens and birth outcomes.

BACKGROUND/OBJECTIVE: Maternal paraben exposure and diet quality are both independently associated with birth outcomes, but whether these interact is unknown. We assessed sex-specific associations of parabens with birth outcomes and differences by maternal diet quality. METHODS: Illinois pregnant women (n = 458) provided five first-morning urines collected at 8-40 weeks gestation, which we pooled for quantification of ethylparaben, methylparaben, and propylparaben concentrations. We collected/measured gestational age at delivery, birth weight, body length, and head circumference within 24 h of birth, and calculated sex-specific birth weight-for-gestational-age z-scores and weight/length ratio. Women completed three-month food frequency questionnaires in early and mid-to-late pregnancy, which we used to calculate the Alternative Healthy Eating Index (AHEI)-2010. Linear regression models evaluated sex-specific associations of parabens with birth outcomes, and differences in associations by average pregnancy AHEI-2010. RESULTS: In this predominately non-Hispanic white, college-educated sample, maternal urinary paraben concentrations were only modestly inversely associated with head circumference and gestational length. However, methylparaben and propylparaben were inversely associated with birth weight, birth weight z-scores, body length, and weight/length ratio in female, but not male newborns. For example, each 2-fold increase in methylparaben concentrations was associated with -46.61 g (95% CI: -74.70, -18.51) lower birth weight, -0.09 (95% CI: -0.15, -0.03) lower birth weight z-scores, -0.21 cm (95% CI: -0.34, -0.07) shorter body length, and -0.64 g/cm (95% CI: -1.10, -0.19) smaller weight/length ratio in females. These inverse associations were more prominent in females of mothers with poorer diets (AHEI-2010 < median), but attenuated in those with healthier diets (AHEI-2010 ≥ median). In newborn males of mothers with healthier diets, moderate inverse associations emerged for propylparaben with gestational length and head circumference. CONCLUSIONS: Maternal diet may moderate associations of parabens with birth size in a sex-specific manner. Additional studies may consider understanding the inflammatory and metabolic mechanisms underlying these findings.

Improving diabetic patients' adherence to treatment and prevention of cardiovascular disease (Office Guidelines Applied to Practice-IMPACT Study)-a cluster randomized controlled effectiveness trial.

BACKGROUND: Despite nationwide improvements in cardiovascular disease (CVD) mortality and morbidity, CVD deaths in adults with type 2 diabetes (T2DM) are 2-4 times higher than among those without T2DM. A key contributor to these poor health outcomes is medication non-adherence. Twenty-one to 42% of T2DM patients do not take blood sugar, blood pressure (BP), or statin medications as prescribed. Interventions that foster and reinforce patient-centered communication show promise in improving health outcomes. However, they have not been widely implemented, in part due to a lack of compelling evidence for their effectiveness in real-life primary care settings. METHODS: This pragmatic cluster-randomized trial randomizes 17 teams in 12 Federally Qualified Healthcare Centers (FQHCs) to two experimental groups: intervention (group 1): Office-Gap + Texting vs. control (group 2): Texting only. Office-GAP (Office-Guidelines Applied to Practice) is a patient activation intervention to improve communication and patient-provider partnerships through brief patient and provider training in shared decision-making (SDM) and use of a guideline-based checklist. The texting intervention (Way2Health) is a cell phone messaging service that informs and encourages patients to adhere to goals, adhere to medication use and improve communication. After recruitment, patients in groups 1 and 2 will both attend (1) one scheduled group visit, (90-120 min) conducted by trained research assistants, and (2) follow-up visits with their providers after group visit at 0-1, 3, 6, 9, and 12 months. Data will be collected over 12-month intervention period. Our primary outcome is medication adherence measured using eCAP electronic monitoring and self-report. Secondary outcomes are (a) diabetes-specific 5-year CVD risk as measured with the UK Prospective Diabetes Study (UKPDS) Engine score, (b) provider engagement as measured by the CollaboRATE Shared-Decision Making measure, and (c) patient activation measures (PAM). DISCUSSION: This study will provide a rigorous pragmatic evaluation of the effectiveness of combined mHealth, and patient activation interventions compared to mHealth alone, targeting patients and healthcare providers in safety net health centers, in improving medication adherence and decreasing CVD risk. Given that 20-50% of adults with chronic illness demonstrate medication non-adherence, increasing adherence is essential to improve CVD outcomes as well as healthcare cost savings. TRIAL REGISTRATION: The ClinicalTrials.gov registration number is NCT04874116.

Associations of maternal anthropometrics with newborn anogenital distance and the 2:4 digit ratio.

STUDY QUESTION: Are maternal anthropometrics associated with anogenital distance (AGD) and 2:4 digit ratio (2:4D) in newborns? SUMMARY ANSWER: Select maternal anthropometrics indicative of obesity or increased adiposity are associated with elongated AGD in daughters. WHAT IS KNOWN ALREADY: Excessive maternal weight or adiposity before or in early pregnancy may impact child reproductive, and other hormonally mediated, development. AGD and 2:4D are proposed markers of in utero reproductive development. STUDY DESIGN, SIZE, DURATION: This study includes 450 mother/newborn dyads participating in the Illinois Kids Development Study (I-KIDS), a prospective pregnancy cohort from Champaign-Urbana, IL, USA. Participants included in the current study enrolled between 2013 and 2018. PARTICIPANTS/MATERIALS, SETTING, METHODS: Most mothers in this study were college-educated (82%) and non-Hispanic White (80%), and 55% were under- or normal weight before pregnancy. Pregnant women aged 18-40 years reported pre-pregnancy weight and height to calculate pre-pregnancy BMI. At 8-15 weeks gestation, we measured waist and hip circumference, and evaluated weight, % body fat, visceral fat level, % muscle and BMI using bioelectrical impedance analysis. Within 24 h of birth, we measured newborn 2nd and 4th left/right digits to calculate the 2:4D. In daughters, we measured AGDAF (anus to fourchette) and AGDAC (anus to clitoris). In sons, we measured AGDAS (anus to scrotum) and AGDAP (anus to base of the penis). MAIN RESULTS AND THE ROLE OF CHANCE: Select maternal anthropometrics were positively associated with AGD in newborn daughters, but not sons. For example, AGDAC was 0.73 mm (95% CI: 0.15, 1.32) longer for every interquartile range (IQR) increase in pre-pregnancy BMI and 0.88 mm (95% CI: 0.18, 1.58) longer for every IQR increase in hip circumference, whereas AGDAF was 0.51 mm (95% CI: 0.03, 1.00) and 0.56 mm (95% CI: 0.03, 1.09) longer for every IQR increase in hip and waist circumference, respectively. Quartile analyses generally supported linear associations, but additional strong associations emerged in Q4 (versus Q1) of maternal % body fat and visceral fat levels with AGDAC. In quartile analyses, we observed only a few modest associations of maternal anthropometrics with 2:4D, which differed by hand (left versus right) and newborn sex. Although there is always the possibility of spurious findings, the associations for both measures of female AGD were consistent across multiple maternal anthropometric measures, which strengthens our conclusions. LIMITATIONS, REASONS FOR CAUTION: Our study sample was racially and ethnically homogenous, educated and relatively healthy, so our study may not be generalizable to other populations. Additionally, we may not have been powered to identify some sex-specific associations, especially for 2:4D. WIDER IMPLICATIONS OF THE FINDINGS: Increased maternal weight and adiposity before and in early pregnancy may lengthen the female AGD, which warrants further investigation. STUDY FUNDING/COMPETING INTEREST(S): This publication was made possible by the National Institute for Environmental Health Sciences (NIH/NIEHS) grants ES024795 and ES022848, the National Institute of Child Health and Human Development grant R03HD100775, the U.S. Environmental Protection Agency grant RD83543401 and National Institute of Health Office of the Director grant OD023272. Its contents are solely the responsibility of the grantee and do not necessarily represent the official views of the US EPA or NIH. Furthermore, the US EPA does not endorse the purchase of any commercial products or services mentioned in the publication. This project was also supported by the USDA National Institute of Food and Agriculture and Michigan AgBioResearch. The authors declare no competing interests. TRIAL REGISTRATION NUMBER: N/A.

Associations of concurrent PCB and PBDE serum concentrations with executive functioning in adolescents.

Polychlorinated biphenyls (PCBs) and polybrominated diphenyl ethers (PBDEs) are ubiquitous environmental chemicals that have long half-lives. Humans are exposed to PCBs and PBDEs mainly through diet, and relative to other populations, those who consume sport-caught fish generally have elevated body burdens. Numerous studies have found associations between prenatal exposure to these chemicals and neurodevelopmental deficits, but there are few studies assessing the impact of exposure during adolescence, a period of rapid development of executive functions. We assessed executive functions in adolescents at risk for exposure to PCBs and PBDEs through consumption of fish from the Lower Fox River and other contaminated waters in northeastern Wisconsin. Between 2007 and 2012, a sample of 115 12-18-year-old children was recruited from households in the Green Bay, WI area in which at least one parent held a WI fishing license. We assessed associations of total PCBs and total PBDEs, as well as the predominant individual congeners (PBDE 47 and 153; PCB 138/163, 153 and 180) with performance on four tests from the Cambridge Neuropsychological Test Automated Battery (CANTAB): Intradimensional/Extradimensional Set-Shifting (ID/ED) which assesses cognitive flexibility, Delayed Matching to Sample (DMS) which assesses visual recognition memory, Spatial Working Memory (SWM), and Stockings of Cambridge (SOC) which assess planning and working memory. In addition to the exposure and outcome variables, multivariable regression models included the child's age, sex and IQ score as well as a sex by exposure interaction term. All of the children were non-Hispanic whites and most parents were married, employed, and had at least some college. After adjusting for serum lipids, the GM (GSD) for total PCBs (ng/g) was 30.83 (2.46), and the GM (GSD) for the predominant PCB congeners PCB 138/163, PCB 153, and PCB 180 were 4.60 (2.39), 5.43 (2.37), and 1.01 (2.71), respectively. The GM (GSD) for total PBDEs (ng/g) was 26.82 (3.30), and the GM (GSD) for the predominant PBDE congeners PBDE 47 and PBDE 153 were 16.64 (2.94) and 3.95 (3.43), respectively. For both chemicals, the primary finding of the negative binomial regression analyses was that higher blood serum concentrations were associated with poorer cognitive flexibility as measured on the ID/ED task. In particular, the PCB x sex interaction p-value was 0.08, and stratifying by sex demonstrated that males with higher blood serum total PCB concentrations (ß = 2.20, 95% CL: 1.16, 4.16, p = 0.02) took more trials to complete the ID/ED task, while both males and females with higher total PBDE concentrations (ß = 1.74, 95% CL: 1.25, 2.42, p = 0.001) took more total trials to complete the task. Higher serum total PCB concentrations were also associated with more errors on the DMS task (ß = 1.15, 95% CL: 1.00, 1.31, p < 0.05). These findings suggest that exposure to PCBs or PBDEs during adolescence may be associated with impaired cognitive flexibility and that adolescent PCB exposure may be associated with visual recognition memory deficits.

Breastfeeding Self-Efficacy as a Predictor of Breastfeeding Intensity Among African American Women in the Mama Bear Feasibility Trial.

Background: Improving breastfeeding rates among African American (AA) families is an important public health goal. Breastfeeding self-efficacy, a known predictor of breastfeeding behavior, has seldom been assessed among AAs, in relation to breastfeeding intensity (% breastfeeding relative to total feeding) or as a protective factor in combating the historical breastfeeding challenges faced by people of color. We aimed to test the association between breastfeeding self-efficacy assessed during pregnancy and breastfeeding intensity assessed in the early postpartum period. Methods: This was a secondary data analysis of a randomized controlled feasibility trial of breastfeeding support and postpartum weight management. AA women were recruited during pregnancy from a prenatal clinic in Detroit, MI. Data presented, in this study, were collected at enrollment (n = 50) and ∼6 weeks postpartum (n = 31). Linear regression models were used, adjusting for potential confounders. Results: There were no differences in breastfeeding intensity by study arm; data are from all women with complete data on targeted variables. Age ranged from 18 to 43 years, 52% were Women, Infant's, and Children program enrollees, and 62% had ≥ some college. Breastfeeding self-efficacy during pregnancy was a significant predictor of breastfeeding intensity in the early postpartum period (ß = 0.125, p < 0.05) with only slight attenuation in the fully adjusted model (ß = 0.123, p < 0.05). Implications for Practice: Our results confirm that self-efficacy is an important predictor of breastfeeding practice. Furthermore, the simple act of assessing breastfeeding self-efficacy permits an opportunity for women to reflect on breastfeeding possibilities, and can inform individualized confidence-building interventions to improve the disproportionately low breastfeeding rates among AAs. Clinical Trial Registration number NCT03480048.

Interaction between bacteria and cholesterol crystals: Implications for endocarditis and atherosclerosis.

BACKGROUND: The interaction between pathogenic bacteria and cholesterol crystals (CCs) has not been investigated. However, CCs are found extensively in atherosclerotic plaques and sclerotic cardiac valves. Interactions between pathogenic bacteria and CCs could provide insights into destabilization of atherosclerotic plaques and bacterial adhesion to cardiac valves. METHODS: Staphylococcus aureus and Pseudomonas aeruginosa were used to assess in vitro bacterial adhesion to CCs and proliferation in the presence of CCs compared to plastic microspheres and glass shards as controls. Ex vivo studies evaluated bacterial adhesion to atherosclerotic rabbit arteries compared to normal arteries and human atherosclerotic carotid plaques compared to normal carotid arteries. Scanning electron microscopy (SEM) was used to visualize bacterial adhesion to CCs and confocal microscopy was used to detect cholesterol binding to bacteria grown in the presence or absence of CCs. RESULTS: In vitro, S. aureus and P. aeruginosa displayed significantly greater adhesion, 36% (p<0.0001) and 89% (p<0.0001), respectively, and growth upon exposure to CCs compared to microspheres or glass shards. Rabbit and human atherosclerotic arteries contained significantly greater bacterial burdens compared to controls (4× (p<0.0004); 3× (p<0.019), respectively. SEM demonstrated that bacteria adhered and appeared to degrade CCs. Consistent with this, confocal microscopy indicated increased cholesterol bound to the bacterial cells. CONCLUSIONS: This study is the first to demonstrate an interaction between bacteria and CCs showing that bacteria dissolve and bind to CCs. This interaction helps to elucidate adhesion of bacteria to sclerotic valves and atherosclerotic plaques that may contribute to endocarditis and plaque destabilization.

Corrigendum to "Determinants of all-cause in-hospital mortality among patients who presented with COVID-19 to a community teaching hospital in Michigan" [Heliyon 7 (12) (December 2021), Article e08566].

[This corrects the article DOI: 10.1016/j.heliyon.2021.e08566.].

C-reactive protein and telomerase reverse transcriptase (TERT) associate with chronic disease markers in a sample from low-income neighborhoods in Detroit, Michigan.

Racial and ethnic minorities in economically deprived inner cities experience high rates of chronic diseases compared to neighborhoods with higher socioeconomic status (SES). However, these economically deprived populations are understudied in terms of biomarkers associated with chronic disease risk which include C-reactive protein (CRP), telomerase reverse transcriptase (TERT), and glycosylated hemoglobin (A1C). We examined relationships between CRP and TERT and chronic disease indicators (body mass index [BMI] and A1C) in two low-income, predominantly African American (AA) neighborhoods in Detroit, Michigan. Sixty-nine adults (43 females, 26 males, mean age 46 years [y], standard deviation [SD] â€‹= â€‹15.9) completed a health survey, anthropometry, and finger stick blood tests. A1C was measured using A1CNow test strips, and CRP and TERT levels were measured using enzyme-linked immunosorbent assay (ELISA) with samples extracted from dried blood spots. We examined CRP (mean â€‹= â€‹4.9, SD â€‹= â€‹3.1), TERT (mean â€‹= â€‹32.5, SD â€‹= â€‹15.1), and A1C (mean â€‹= â€‹5.4, SD â€‹= â€‹1.0) by BMI category. We fitted restricted maximum likelihood regression models to evaluate associations between CRP, TERT, BMI, and A1C, after adjustment for demographics and inclusion of a random effect for the neighborhood. In this predominantly AA sample (91%, 63/69), 68% had levels of CRP (means â€‹= â€‹4.8 â€‹mg/L, SD â€‹= â€‹3.0 for AAs; 6.4 â€‹mg/L, SD â€‹= â€‹3.9 for all others) indicative of chronic inflammation (CRP greater than 3 â€‹mg/L). BMI was significantly associated with CRP (p â€‹= â€‹0.004) and TERT (p â€‹= â€‹0.026). TERT levels indicate that being overweight is associated with markers of chromosome remodeling, suggestive of chronic disease. CRP followed a similar trend with overweight individuals having higher inflammation and risk of chronic disease. Our findings warrant further exploration of additional factors that may influence CRP and TERT. Furthermore, examining populations in a more ethnically and/or economically diverse, yet still high proportion minority, sample will fill a knowledge gap in this understudied field.

Determinants of all-cause in-hospital mortality among patients who presented with COVID-19 to a community teaching hospital in Michigan.

BACKGROUND & OBJECTIVES: Race plays an important role in healthcare disparities, often resulting in worse health outcomes. It is unclear if other patient factors and race interactions may influence mortality in patients with COVID-19. We aimed to evaluate how multiple determinants of all-cause in-hospital mortality from COVID-19 were linked to race. METHODS: A retrospective observational study was conducted at two hospitals in metropolitan Detroit. We identified patients aged ≥18 years-old who had tested positive for COVID-19 and were admitted between March 9 through May 16, 2020. Multivariable logistic regression was performed assessing predictors of all-cause in-hospital mortality in COVID-19. RESULTS: We identified 1064 unique patients; 74% were African Americans (AA). The all-cause in-hospital mortality was 21.7%, with the majority of deaths seen in AA (65.4%, P = 0.002) and patients 80 years or older (52%, P < 0.0001). AA women had lower all-cause mortality than AA men, white women, and white men based on race-gender interactions. In multivariable logistic regression analysis, older age (>80-year-old), dementia, and chronic kidney disease were associated with worse all-cause in-hospital mortality. Adjusted for race and body mass index (BMI), the main odds ratios (OR) and 95% confidence intervals (CI) are: Age 80 and older vs < 60 in females: OR = 7.4, 95% CI: 2.9, 18.7; in males OR = 7.3, 95% CI: 3.3, 16.2; Chronic Kidney Disease (CKD): OR = 1.7, 95% CI: 1.2, 2.6; Dementia: OR = 2.2, 95% CI: 1.5, 3.3. CONCLUSION: Gender significantly modified the association of race and COVID-19 mortality. African American females had the lowest all-cause in-hospital mortality risk compared to other gender-race groups.

Costs of a Train-the-Trainer Program to Teach Primary Care Faculty Mental Health Care.

BACKGROUND: Mental health care must improve in this country. With the worsening shortage of psychiatrists and other mental health professionals, the next generation of physicians in primary care will need to be better trained in mental health care. OBJECTIVES: We estimate the direct cost of implementing an evidence-based Train-the-Trainer (3T) program to disseminate mental health training to allopathic medical school faculty; once trained, faculty can teach a much-enhanced curriculum of mental health care to medical students and residents. METHODS: A combination of published standardized unit costs and an activity-based costing approach is used to estimate the direct costs (labor and nonlabor) for implementing the 3T program. RESULTS: The estimated direct cost of implementing the 3T program at one prototypical school, including the 12-month start-up period (1.1 million) and 18-month rollout period (8.6 million), is ∼9.7 million dollars. CONCLUSIONS: Successfully adopted in all US allopathic medical schools, the 3T program will provide over 3800 attitudinally competent and mental health skills-qualified primary care faculty members. They would then be available to train nearly 100,000 medical students per year and 55,000 primary care residents to be as competent in basic mental health care as in medical care. This 3T program will begin to meet the needs each year for the millions of adults with major mental disorders that now are largely unrecognized and untreated.