Ethnic disparities of vascular complications in pre-diabetes, undiagnosed diabetes, and newly diagnosed diabetes.

In the U.S., ethnic minorities with pre-diabetes, undiagnosed type 2 diabetes (T2D), and newly diagnosed T2D had a higher prevalence of microvascular complications than non-Hispanic Whites and exhibited distinct risk factors, whereas Whites had a higher rate of cardiovascular disease.

Non-face-to-face care management and service utilization in patients with diabetes.

OBJECTIVES: In 2015, CMS implemented reimbursement for non-face-to-face chronic care management (NFFCCM) for beneficiaries with multiple chronic conditions, including diabetes. This analysis estimated the association between NFFCCM and utilization of inpatient, outpatient, and emergency services. STUDY DESIGN: We implemented a doubly robust estimator using propensity score matching in a regression context to compare eligible patients who used NFFCCM (n = 282) with eligible patients who did not use NFFCCM (n = 26,759). METHODS: We tested 4 definitions of treatment: having any NFFCCM encounters and having 1 NFFCCM encounter per month, per 2 months, and per 3 months. Two-tailed statistical inference testing was conducted at the 5% level. We examined the utilization differences among patients with diabetes 65 years and older using merged electronic health records for 4 health systems in Louisiana from the Research Action for Health Network database in 2013 through 2018. RESULTS: We found NFFCCM was associated with increased utilization of care in the outpatient setting by 0.056 visits per month (95% CI, 0.027-0.086) and with lower utilization in the inpatient setting (-0.024 visits per month; 95% CI, -0.038 to -0.010) and in the emergency department setting (-0.017 visits per month; 95% CI, -0.031 to -0.003). Alternative specifications of treatment showed similar associations. CONCLUSIONS: CMS implementation of reimbursement codes for NFFCCM, and subsequent utilization of that reimbursement by health systems, was associated with a shift in patient utilization from high-cost settings (inpatient and emergency department) to a lower-cost setting (outpatient office).

Sex differences in cardiometabolic biomarkers during the pre-diabetes stage.

Using two large prospective epidemiological studies in the U.S., we examined biomarkers that reflect sex-specific pathophysiological pathways to cardiovascular complications among people with pre-diabetes. Women with pre-diabetes exhibited higher levels of adipokines, while men had lower eGFR. Sex differences in lipoproteins and vascular inflammatory markers during pre-diabetes indicate sex-specific lipoprotein and inflammatory mechanisms to cardiovascular complications.

Sex Differences in Cardiovascular Risk Associated With Prediabetes and Undiagnosed Diabetes.

INTRODUCTION: Women with Type 2 diabetes (T2D) face up to 50% higher risk of cardiovascular disease than men. This study evaluated the extent to which prediabetes and undiagnosed T2D are associated with a greater excess risk of cardiovascular disease in women versus in men. METHODS: Data were pooled from 18,745 cardiovascular disease-free individuals from the Atherosclerosis Risk in Communities Study, the Multi-Ethnic Study of Atherosclerosis, and the Jackson Heart Study. The risk of coronary heart disease, ischemic stroke, and atherosclerotic cardiovascular disease (coronary heart disease or stroke) associated with prediabetes or undiagnosed T2D was estimated using Cox models adjusting for sociodemographic factors, concomitant risk factors, medication use, and menopausal status. Data were collected in 2022, and the analysis was performed in 2023. RESULTS: During a median follow-up of 18.6 years, the associations between prediabetes and risk of atherosclerotic cardiovascular disease were only significant in women (hazard ratio=1.18, 95% CI=1.01, 1.34, p=0.03) but not in men (hazard ratio=1.08, 95% CI=1.00, 1.28, p=0.06) (p-interaction=0.18). The associations between undiagnosed T2D and cardiovascular disease outcomes were significant in both sexes, but the effect was more pronounced in women (coronary heart disease: hazard ratio=1.83, 95% CI=1.4, 2.41, p<0.0001 in women vs hazard ratio=1.6, 95% CI=1.38, 2.07, p=0.007 in men; stroke: hazard ratio=1.99, 95% CI=1.39, 2.72, p<0.0001 vs hazard ratio=1.81, 95% CI=1.36, 2.6, p<0.0001; atherosclerotic cardiovascular disease: hazard ratio=1.86, 95% CI=1.5, 2.28, p<0.0001 vs hazard ratio=1.65, 95% CI=1.4, 1.98, p<0.0001) (all p-interactions≤0.2). Both White and Black patients exhibit similar sex differences. CONCLUSIONS: Prediabetes or undiagnosed T2D was associated with a greater excess risk of cardiovascular disease in women than in men. The sex differential in cardiovascular disease risk among those without the T2D diagnosis suggests the need for sex-specific guidelines in T2D screening and treatment.

Effect of menopausal hormone therapy on COVID-19 severe outcomes in women - A population-based study of the US National COVID Cohort Collaborative (N3C) data.

Whether menopausal hormone therapy (MHT) lessens the severity of COVID-19 among women is unclear. Leveraging a U.S. national COVID-19 cohort and a cross-sectional analysis, we found MHT use was marginally associated with a lower risk of mortality (odds ratio [OR] 0.73, 95 % CI 0.53-1.01) and significantly associated with a lower risk of prolonged hospital stay (0.7, 0.49-0.99) among inpatient women. When stratifying by MHT type, estrogen-only and estrogen-plus-progestin therapies had a more prominent protective effect than progestin-only therapy, although this difference did not achieve statistical significance. Women with COVID-19 can continue to use MHT. Clinical trials are needed to evaluate MHT's therapeutic effect on COVID-19, especially in terms of severity.

Rising Prediabetes, Undiagnosed Diabetes, and Risk Factors in Young Women.

INTRODUCTION: Women of reproductive age are less prone to cardiovascular disease than men. However, diabetes mellitus negates this female advantage. The prevalence change of prediabetes (prediabetes mellitus) and diabetes mellitus and diabetes mellitus‒associated cardiovascular risk factors have not been clearly described in women before menopause. METHODS: Using National Health and Nutrition Examination Survey data (1999-2018), this study estimated the age-adjusted prevalence of prediabetes mellitus (2005-2018), diagnosed diabetes mellitus, and undiagnosed diabetes mellitus in premenopausal women. Logistic regression was used to examine cardiovascular risk factors, including obesity, central obesity, hypercholesterolemia, hypertension, and hypertriglyceridemia, associated with prediabetes mellitus, diagnosed diabetes mellitus, or undiagnosed diabetes mellitus in premenopausal women. The magnitude of the association among age-matched men and postmenopausal women was compared. The analysis was conducted in 2022. RESULTS: Premenopausal women experienced an increased prevalence of prediabetes mellitus and undiagnosed diabetes mellitus, contrasting with steady trends in all U.S. adults over the last 2 decades. Premenopausal women with prediabetes mellitus or diabetes mellitus (versus those with normoglycemia) have significant obesity risk, and the risk is equivalent to that among age-matched men and higher than that among postmenopausal women. The association between prediabetes mellitus and hypercholesterolemia or hypertriglyceridemia was significant in premenopausal women only. Hypercholesterolemia and hypertension associated with undiagnosed diabetes mellitus were significant in premenopausal women and men of the same age, respectively. Diagnosed and undiagnosed diabetes mellitus was associated with hypertriglyceridemia in men and postmenopausal women, respectively. CONCLUSIONS: Premenopausal women had increased prediabetes mellitus and undiagnosed diabetes mellitus in the past 2 decades. They face a considerable cardiovascular risk burden associated with prediabetes mellitus and diabetes mellitus. Cardiometabolic risk screening and patient education should be improved in young and early middle-aged adults, particularly in women.

Sex differences in determinants of COVID-19 severe outcomes - findings from the National COVID Cohort Collaborative (N3C).

OBJECTIVE: The impact of comorbidities and biomarkers on COVID-19 severity vary by sex but have not yet been verified in population-based studies. We examined the association of comorbidities, inflammatory biomarkers, and severe outcomes in men and women hospitalized for COVID-19. DESIGN: This is a retrospective cohort analysis based on the National COVID Cohort Collaborative (N3C). We included 574,391 adult patients admitted for COVID-19 at hospitals or emergency rooms between 01/01/2020 and 12/31/2021. METHODS: We defined comorbidities at or before the first admission for COVID-19 by Charlson Comorbidity Index (CCI) and CCI components. We used the averaged lab values taken within 15 days before or after the admission date to measure biomarkers including c-reactive protein (CRP), ferritin, procalcitonin, N-terminal pro b-type natriuretic peptide (NT proBNP), d-dimer, absolute lymphocyte counts, absolute neutrophil counts, and platelets. Our primary outcome was all-cause mortality; secondary outcomes were invasive mechanical ventilation (IMV) and hospital length of stay (LOS). We used logistic regression adjusted for age, race, ethnicity, visit type, and medications to assess the association of comorbidities, biomarkers, and mortality disaggregating by sex. RESULTS: Moderate to severe liver disease, renal disease, metastatic solid tumor, and myocardial infarction were the top four fatal comorbidities among patients who were hospitalized for COVID-19 (adjusted odds ratio [aOR] > 2). These four comorbid conditions remained the most lethal in both sexes, with a higher magnitude of risk in women than in men (p-interaction < 0.05). Abnormal elevations of CRP, ferritin, procalcitonin, NT proBNP, neutrophil, and platelet counts, and lymphocytopenia were significantly associated with the risk of death, with procalcitonin and NT proBNP as the strongest predictors (aOR > 2). The association between the abnormal biomarkers and death was stronger in women than in men (p-interaction < 0.05). CONCLUSION: There are sex differences in inpatient mortality associated with comorbidities and biomarkers. The significant impact of these clinical determinants in women with COVID-19 may be underappreciated as previous studies stressed the increased death rate in male patients that is related to comorbidities or inflammation. Our study highlights the importance and the need for sex-disaggregated research to understand the risk factors of poor outcomes and health disparities in COVID-19.

Gender differences in health protective behaviours and its implications for COVID-19 pandemic in Taiwan: a population-based study.

INTRODUCTION: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection produces more severe symptoms and a higher mortality in men than in women. The role of biological sex in the immune response to SARS-CoV-2 is believed to explain this sex disparity. However, the contribution of gender factors that influence health protective behaviors and therefore health outcomes, remains poorly explored. METHODS: We assessed the contributions of gender in attitudes towards the COVID-19 pandemic, using a hypothetical influenza pandemic data from the 2019 Taiwan Social Change Survey. Participants were selected through a stratified, three-stage probability proportional-to-size sampling from across the nation, to fill in questionnaires that asked about their perception of the hypothetical pandemic, and intention to adopt health protective behaviors. RESULTS: A total of 1,990 participants (median age = 45·92 years, 49% were women) were included. Significant gender disparities (p < .001) were observed. The risk perception of pandemic (OR = 1·28, 95% CI [1·21 - 1·35], p < .001), older age (OR = 1·06, 95% CI [1·05 - 1·07], p < .001), female gender (OR = 1·18, 95% CI [1·09-1·27], p < .001), higher education (OR = 1·10, 95% CI [1·06 - 1·13], p < .001), and larger family size (OR = 1·09, 95% CI [1·06 - 1·15], p < .001) were positively associated with health protective behaviors. The risk perception of pandemic (OR = 1·25, 95% CI [1·15 - 1·36]), higher education (OR = 1·07, 95% CI [1·02 - 1·13], p < .05), being married (OR = 1·17, 95% CI [1·01-1·36, p < .05), and larger family size (OR = 1·33, 95% CI [1·25 - 1·42], p < .001), were positively associated with intention to receive a vaccine. However, female gender was negatively associated with intention to receive a vaccine (OR = 0·85, 95% CI [0·75 - 0·90], p < ·01) and to comply with contact-tracing (OR = 0·95, 95% CI [0·90 - 1·00], p < .05) compared to men. Living with children was also negatively associated with intention to receive vaccines (OR = 0·77, 95% CI [0·66 - 0·90], p < .001). CONCLUSION: This study unveils gender differences in risk perception, health protective behaviors, vaccine hesitancy, and compliance with contact-tracing using a hypothetical viral pandemic. Gender-specific health education raising awareness of health protective behaviors may be beneficial to prevent future pandemics.

Sex differences in comorbidities and COVID-19 mortality-Report from the real-world data.

Background: The differential effect of comorbidities on COVID-19 severe outcomes by sex has not been fully evaluated. Objective: To examine the association of major comorbidities and COVID-19 mortality in men and women separately. Methods: We performed a retrospective cohort analysis using a large electronic health record (EHR) database in the U.S. We included adult patients with a clinical diagnosis of COVID-19 who also had necessary information on demographics and comorbidities from January 1, 2016 to October 31, 2021. We defined comorbidities by the Charlson Comorbidity Index (CCI) using ICD-10 codes at or before the COVID-19 diagnosis. We conducted logistic regressions to compare the risk of death associated with comorbidities stratifying by sex. Results: A total of 121,342 patients were included in the final analysis. We found significant sex differences in the association between comorbidities and COVID-19 death. Specifically, moderate/severe liver disease, dementia, metastatic solid tumor, and heart failure and the increased number of comorbidities appeared to confer a greater magnitude of mortality risk in women compared to men. Conclusions: Our study suggests sex differences in the effect of comorbidities on COVID-19 mortality and highlights the importance of implementing sex-specific preventive or treatment approaches in patients with COVID-19.

Progression of retinopathy with glucagon-like peptide-1 receptor agonists with cardiovascular benefits in type 2 diabetes - A systematic review and meta-analysis.

AIMS: The effect of Glucagon-like peptide 1 receptor agonists (GLP1 RA) on diabetic retinopathy (DR) remains controversial. Previous reviews combined data from randomized clinical trials (RCTs) with or without cardiovascular (CV) benefits and did not address confounders, therefore may have generated misleading results. The study aimed to examine the effect of GLP1RA on DR in type 2 diabetes (T2DM) in RCTs with or without CV benefits and distinguish the effect by major confounders. METHODS: We conducted electronic searches of multiple databases and a manual search using references lists. We included 13 RCTs examining the effect of GLP1 RA on health outcomes/adverse events including DR or DR complications in T2DM. We performed a random-effects model meta-analysis. RESULTS: GLP1RA was associated with an elevated risk of rapidly worsening DR in four major RCTs with CV benefits in T2DM (OR 1.23, 95 % CI 1.05-1.44). The association between GLP1 RA and DR was significant in subgroups of RCTs with length over 52 weeks (1.2, 1.00-1.43), using placebo as a comparator (1.22, 1.05-1.42). In subgroups with patients who had T2DM ≥10 years (1.19, 0.99-1.42) or with subjects enrolled from multiple countries (1.2, 0.99-1.46), the association appeared to be evident but did not reach statistical significance. CONCLUSIONS: GLP1 RA including liraglutide, semaglutide, and dulaglutide are associated with an increased risk of rapidly worsening DR in RCTs with CV benefits. Further data from clinical studies with longer follow-up purposefully designed for DR risk assessment, particularly including patients of established DR are warranted.

Menopausal hormone therapy and risk of cardiovascular events in women with prediabetes or type 2 diabetes: A pooled analysis of 2917 postmenopausal women.

BACKGROUND AND AIMS: The effect of MHT on cardiovascular disease (CVD) risk among women with prediabetes or type 2 diabetes (PreDM or T2DM) is unclear. We examined the association between ever or early use MHT and CVD risk in postmenopausal women with PreDM or T2DM, and the potential modifying effect of race. METHODS: 2,917 postmenopausal women with PreDM or T2DM were pooled from 3 prospective CVD cohorts (the Atherosclerosis Risk in Communities, the Multi-Ethnic Study of Atherosclerosis, and the Jackson Heart Study). Ever (yes vs no) or early use of MHT (MHT initiated ≤5 vs > 5 years since menopause), and their associations with ischemic stroke, coronary heart disease (CHD), and atherosclerotic cardiovascular disease (ASCVD) were assessed using Cox proportional hazards models. RESULTS: During a median follow-up of 15 years, 264 stroke, 484 CHD, and 659 ASCVD events were observed. In fully adjusted models, ever use of MHT was associated with reduced risk of stroke (hazard ratio 0.86, 95% CI 0.76-0.98), CHD (0.85, 0.74-0.98), and ASCVD (0.83, 0.73-0.95) in white women with PreDM or T2DM. Early use of MHT was associated with reduced risk of stroke (0.82, 0.72-0.95), CHD (0.85, 0.74-0.98), and ASCVD (0.82, 0.70-0.96) in the white group. No risk reduction with ever or early use of MHT was found for black women with PreDM or T2DM. CONCLUSIONS: MHT is associated with statistically reduced CVD risk among white but not black women with PreDM or DM. Race is an effect modifier in the association between MHT use and CVD.

Unusually High Prevalence of Stroke and Cerebral Vasculopathy in Hemoglobin SC Disease: A Retrospective Single Institution Study.

INTRODUCTION: Unlike homozygous hemoglobin SS (HbSS) disease, stroke is a rare complication in hemoglobin SC (HbSC) disease. However, recent studies have demonstrated a high prevalence of silent stroke in HbSC disease. The factors associated with stroke and cerebral vasculopathy in the HbSC population are unknown. METHODS: We conducted a retrospective study of all patients with sickle cell disease treated at the University of Missouri, Columbia, over an 18-year period (2000-2018). The goal of the study was to characterize the silent, overt stroke, and cerebral vasculopathy in HbSC patients and compare them to patients with HbSS and HbS/ß thalassemia1 (thal) in this cohort. We also analyzed the laboratory and clinical factors associated with stroke and cerebral vasculopathy in the HbSC population. RESULTS: Of the 34 HbSC individuals, we found that the overall prevalence of stroke and cerebral vasculopathy was 17.7%. Only females had evidence of stroke or cerebral vasculopathy in our HbSC cohort (33.3%, p = 0.019). Time-averaged means of maximum velocities were lower in the HbSC group than the HbSS group and did not correlate with stroke outcome. Among HbSC individuals, those with stroke and cerebral vasculopathy had a marginally higher serum creatinine than those without these complications (0.77 mg/dL vs. 0.88 mg/dL, p = 0.08). Stroke outcome was associated with recurrent vaso-occlusive pain crises (Rec VOCs) (75 vs. 25%, p = 0.003) in HbSC patients. The predominant cerebrovascular lesions in HbSC included microhemorrhages and leukoencephalopathy. CONCLUSION: There is a distinct subset of individuals with HbSC who developed overt, silent stroke, and cerebral vasculopathy. A female predominance and association with Rec VOCs were identified in our cohort; however, larger clinical trials are needed to identify and confirm specific clinical and laboratory markers associated with stroke and vasculopathy in HbSC disease.

Patient-specific factors associated with use of diabetes self-management education and support programs in Louisiana.

INTRODUCTION: The prevalence of diabetes self-management education and support (DSME/S) use among patients with newly diagnosed type 2 diabetes mellitus (T2DM) and patients with insulin prescription has not been evaluated. It is also unclear what demographic, behavioral, and clinical factors associated with use of DSME/S. RESEARCH DESIGN AND METHODS: This retrospective analysis was based on electronic health records from the Research Action for Health Network (2013-2019). Patients with newly diagnosed T2DM were identified as 35-94 year-olds diagnosed with T2DM≥1 year after the first recorded office visit. Patients with insulin were identified by the first insulin prescription records. DSME/S (Healthcare Common Procedure Coding System G0108 and G0109) codes that occurred from 2 months before the 'new diagnosis date' or first insulin prescription date through 1 year after were defined as use of DSME/S. Age-matched controls (non-users) were identified from the Electronic Health Records (EHR). The date of first DSME/S record was selected as the index date. Logistic regression was used to estimate the associations between patient factors and use of DSME/S. RESULTS: The prevalence of DSME/S use was 6.5% (8909/137 629) among patients with newly diagnosed T2DM and 32.7% (13,152/40,212) among patients with diabetes taking insulin. Multivariable analysis found that among patients with newly diagnosed T2DM, black and male patients were less likely to use DSME/S, while in patients with insulin, they were more likely to use the service compared with white and female counterparts, respectively. Among patients taking insulin, those with private insurance or self-pay status were significantly less likely, while those with Medicaid were more likely to use the service compared with their Medicare counterparts. A strong positive association was found between HbA1c, obesity, and DSME/S use in both cohorts, while hypertension was negatively associated with DSME/S in both cohorts. CONCLUSION: We showed a low rate of DSME/S use in Louisiana, especially in patients with newly diagnosed T2DM. Our findings demonstrated heterogeneity in factors influencing DSME/S use between patients with newly diagnosed T2D and patients with insulin.

Metabolic Syndrome and Acute Respiratory Distress Syndrome in Hospitalized Patients With COVID-19.

Importance: Obesity, diabetes, and hypertension are common comorbidities in patients with severe COVID-19, yet little is known about the risk of acute respiratory distress syndrome (ARDS) or death in patients with COVID-19 and metabolic syndrome. Objective: To determine whether metabolic syndrome is associated with an increased risk of ARDS and death from COVID-19. Design, Setting, and Participants: This multicenter cohort study used data from the Society of Critical Care Medicine Discovery Viral Respiratory Illness Universal Study collected from 181 hospitals across 26 countries from February 15, 2020, to February 18, 2021. Outcomes were compared between patients with metabolic syndrome (defined as ≥3 of the following criteria: obesity, prediabetes or diabetes, hypertension, and dyslipidemia) and a control population without metabolic syndrome. Participants included adult patients hospitalized for COVID-19 during the study period who had a completed discharge status. Data were analyzed from February 22 to October 5, 2021. Exposures: Exposures were SARS-CoV-2 infection, metabolic syndrome, obesity, prediabetes or diabetes, hypertension, and/or dyslipidemia. Main Outcomes and Measures: The primary outcome was in-hospital mortality. Secondary outcomes included ARDS, intensive care unit (ICU) admission, need for invasive mechanical ventilation, and length of stay (LOS). Results: Among 46 441 patients hospitalized with COVID-19, 29 040 patients (mean [SD] age, 61.2 [17.8] years; 13 059 [45.0%] women and 15713 [54.1%] men; 6797 Black patients [23.4%], 5325 Hispanic patients [18.3%], and 16 507 White patients [57.8%]) met inclusion criteria. A total of 5069 patients (17.5%) with metabolic syndrome were compared with 23 971 control patients (82.5%) without metabolic syndrome. In adjusted analyses, metabolic syndrome was associated with increased risk of ICU admission (adjusted odds ratio [aOR], 1.32 [95% CI, 1.14-1.53]), invasive mechanical ventilation (aOR, 1.45 [95% CI, 1.28-1.65]), ARDS (aOR, 1.36 [95% CI, 1.12-1.66]), and mortality (aOR, 1.19 [95% CI, 1.08-1.31]) and prolonged hospital LOS (median [IQR], 8.0 [4.2-15.8] days vs 6.8 [3.4-13.0] days; P < .001) and ICU LOS (median [IQR], 7.0 [2.8-15.0] days vs 6.4 [2.7-13.0] days; P < .001). Each additional metabolic syndrome criterion was associated with increased risk of ARDS in an additive fashion (1 criterion: 1147 patients with ARDS [10.4%]; P = .83; 2 criteria: 1191 patients with ARDS [15.3%]; P < .001; 3 criteria: 817 patients with ARDS [19.3%]; P < .001; 4 criteria: 203 patients with ARDS [24.3%]; P < .001). Conclusions and Relevance: These findings suggest that metabolic syndrome was associated with increased risks of ARDS and death in patients hospitalized with COVID-19. The association with ARDS was cumulative for each metabolic syndrome criteria present.

Early Menopause and Cardiovascular Disease Risk in Women With or Without Type 2 Diabetes: A Pooled Analysis of 9,374 Postmenopausal Women.

OBJECTIVE: Early menopause may be associated with higher cardiovascular disease (CVD) risk. Type 2 diabetes mellitus (T2DM), coupled with early menopause, may result in even greater CVD risk in women. We examined CVD risk in women with early compared with normal-age menopause, with and without T2DM overall, and by race/ethnicity. RESEARCH DESIGN AND METHODS: We pooled data from the Atherosclerosis Risk in Communities study, the Multi-Ethnic Study of Atherosclerosis, and the Jackson Heart Study. We included women with data on menopausal status, menopausal age, and T2DM, excluding pre- or perimenopausal women and those with prevalent CVD. Outcomes included incident coronary heart disease (CHD), stroke, heart failure (HF), and atherosclerotic cardiovascular disease (ASCVD) (CHD or stroke). We estimated the risk associated with early (<45 years) compared with normal-age menopause using Cox proportional hazards models. Covariates included age, race/ethnicity, education, BMI, blood pressure, cholesterol, smoking, alcohol consumption, antihypertensive medication, lipid-lowering medication, hormone therapy use, and pregnancy history. RESULTS: We included 9,374 postmenopausal women for a median follow-up of 15 years. We observed 1,068 CHD, 659 stroke, 1,412 HF, and 1,567 ASCVD events. T2DM significantly modified the effect of early menopause on CVD risk. Adjusted hazard ratios for early menopause and the outcomes were greater in women with T2DM versus those without (CHD 1.15 [95% CI 1.00, 1.33] vs. 1.09 [1.03, 1.15]; stroke 1.21 [1.04, 1.40] vs. 1.10 [1.04, 1.16]; ASCVD 1.29 [1.09, 1.51] vs. 1.10 [1.04, 1.17]; HF 1.18 [1.00, 1.39] vs. 1.09 [1.03, 1.16]). The modifying effect of T2DM on the association between early menopause and ASCVD was only statistically significant in Black compared with White women. CONCLUSIONS: Early menopause was associated with an increased risk for CVD in postmenopausal women. T2DM may further augment the risk, particularly in Black women.

Gender Differences in Health Protective Behaviors During the COVID-19 Pandemic in Taiwan: An Empirical Study.

INTRODUCTION: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection produces more severe symptoms and a higher mortality in men than in women. The role of biological sex in the immune response to SARS-CoV-2 is believed to explain this sex disparity. However, the contribution of gender factors that influence health protective behaviors and therefore health outcomes, remains poorly explored. METHODS: We assessed the contributions of gender in attitudes towards the COVID-19 pandemic, using a hypothetical influenza pandemic data from the 2014 Taiwan Social Change Survey. Participants were selected through a stratified, three-stage probability proportional-to-size sampling from across the nation, to fill in questionnaires that asked about their perception of the hypothetical pandemic, and intention to adopt health protective behaviors. RESULTS: A total of 1,990 participants (median age 45.92 years, 49% women) were included. Significant gender disparities (p<0.001) were observed. The risk perception of pandemic (OR=1.28, 95% CI=1.21-1.35, p<0.001), older age (1.06, 95%=1.05-1.07, p<0.001), female gender (OR = 1.18, 95% CI = 1.09□1.27, p<0.001), higher education (OR=1.10, 95% CI=1.06-1.13, p<0.001), and larger family size (OR=1.09, 95% CI=1.06-1.15, p<0.001) were positively associated with health protective behaviors. The risk perception of pandemic (OR=1.25, 95% CI=1.15-1.36), higher education (OR=1.07, 95% CI=1.02-1.13, p<0.05), being married (OR=1.17, 95% CI=1.01-1.36, p<0.05), and larger family size (OR=1.33, 95% CI=1.25-1.42, p<0.001), were positively associated with intention to receive a vaccine. However, female gender was negatively associated with intention to receive a vaccine (OR=0.85, 95% CI=0.75-0.90, p<0.01) and to comply with contact-tracing (OR=0.95, 95% CI=0.90-1.00, p<0.05) compared to men. Living with children was also negatively associated with intention to receive vaccines (OR=0.77, 95% CI=0.66-0.90, p<0.001). CONCLUSION: This study unveils gender differences in risk perception, health protective behaviors, vaccine hesitancy, and compliance with contact-tracing using a hypothetical viral pandemic. Gender-specific health education raising awareness of health protective behaviors may be beneficial to prevent future pandemics.

Holistic representation in juvenile defense: An evaluation of a multidisciplinary children's defense team.

This study describes the results of an evaluation of a holistic defense model for juvenile clients. Longitudinal, retrospective analysis of de-identified data from clients (N = 308) measured individual variable outcomes, relationships, and project performance. Bivariate and multivariate analyses examined the strength of association and interrelationships among client and defense team variables. Findings indicate that holistic defense was significantly associated with improved outcomes among juvenile clients, including increased mental health assessment resulting in treatment, increased employment and educational attainment, and decreased odds of recidivism. Favorable court or dispositional outcomes, including lower adjudication or early termination from custody, were also reported. Further practice-level, controlled research is necessary to evaluate these models and offer comparison to other models for holistic defense.

Clinical characteristics and outcomes in women and men hospitalized for coronavirus disease 2019 in New Orleans.

OBJECTIVES: Determine if sex differences exist in clinical characteristics and outcomes of adults hospitalized for coronavirus disease 2019 (COVID-19) in a US healthcare system. DESIGN: Case series study. SETTING AND PARTICIPANTS: Sequentially hospitalized adults admitted for COVID-19 at two tertiary care academic hospitals in New Orleans, LA, between 27 February and 15 July 2020. MEASURES AND OUTCOMES: Measures included demographics, comorbidities, presenting symptoms, and laboratory results. Outcomes included intensive care unit admission (ICU), invasive mechanical ventilation (IMV), and in-hospital death. RESULTS: We included 776 patients (median age 60.5 years; 61.4% women, 75% non-Hispanic Black). Rates of ICU, IMV, and death were similar in both sexes. In women versus men, obesity (63.8 vs 41.6%, P < 0.0001), hypertension (77.6 vs 70.1%, P = 0.02), diabetes (38.2 vs 31.8%, P = 0.06), chronic obstructive pulmonary disease (COPD, 22.1 vs 15.1%, P = 0.015), and asthma (14.3 vs 6.9%, P = 0.001) were more prevalent. More women exhibited dyspnea (61.2 vs 53.7%, P = 0.04), fatigue (35.7 vs 28.5%, P = 0.03), and digestive symptoms (39.3 vs 32.8%, P = 0.06) than men. Obesity was associated with IMV at a lower BMI (> 35) in women, but the magnitude of the effect of morbid obesity (BMI ≥ 40) was similar in both sexes. COPD was associated with ICU (adjusted OR (aOR), 2.6; 95%CI, 1.5-4.3) and IMV (aOR, 1.8; 95%CI, 1.2-3.1) in women only. Diabetes (aOR, 2.6; 95%CI, 1.2-2.9), chronic kidney disease (aOR, 2.2; 95%CI, 1.3-5.2), elevated neutrophil-to-lymphocyte ratio (aOR, 2.5; 95%CI, 1.4-4.3), and elevated ferritin (aOR, 3.6; 95%CI, 1.7-7.3) were independent predictors of death in women only. In contrast, elevated D-dimer was an independent predictor of ICU (aOR, 7.3; 95%CI, 2.7-19.5), IMV (aOR, 6.5; 95%CI, 2.1-20.4), and death (aOR, 4.5; 95%CI, 1.2-16.4) in men only. CONCLUSIONS: This study highlights sex disparities in clinical determinants of severe outcomes in COVID-19 patients that may inform management and prevention strategies to ensure gender equity.