Racial Distribution Research Articles

Epidemiology and control of monkeypox outbreak in Houston, Texas

BackgroundIn the 2022–2023 global outbreak, the United States and state of Texas recorded a total of 31,277 and 3,085 confirmed monkeypox (Mpox) cases respectively as of November 2023. This study aims to investigate the demographic characteristics and risk factors of Mpox outbreak in Houston and document the epidemiologic control measures implemented with their outcomes. MethodsHouston Health Department received reports of suspected Mpox cases via electronic case reports and laboratory reports from healthcare providers within Houston. These were then investigated and reclassified as either positive or negative using DNA polymerase chain reaction tests. All the reported cases received between May 2022 and January 2023 were included in this study using convenient sampling methods. Descriptive statistics using frequency distribution was used to analyze the sociodemographic, clinical features and travel history of the cases. A two-sided Chi-squared test was used to determine association between Mpox test results and risk factors with significant level set at P < 0.05. Other infection control measures such as community engagement, health education, tracking and contact tracing, vaccination, referrals and laboratory sample logistics support were implemented by the health department. ResultsOut of the total of 1,625 suspected persons investigated for Mpox, 724 (44.6%) tested positive. Among the 724 confirmed cases, male was 700 (96.7%), females 20 (2.8%), transgender male 1 (0.1%), transgender female 3 (0.4%). Age groups 30–39 years constituted 43.6%, 18–29 years 27.4%, 40–49 years 18.2%, 50–59 years was 8%. Race distribution of positive cases was Whites 43.4%, African American 38.7%, Asian 1.4%. Risk factors with P < 0.05 included male gender, age groups 30–39 years and 40–49 years, travel history to Mpox endemic areas, recent sexual contact with known or suspected Mpox cases, human immunodeficiency virus seropositivity. Identifying as gay and bisexual were also statistically significant risk factors for Mpox infection. ConclusionThe timely implementation of primary and secondary prevention measures targeted at the most at-risk populations was very effective at curtailing the spread of Mpox infection within the city of Houston.

Racial distribution of molecularly classified brain tumors.

In many cancers, specific subtypes are more prevalent in specific racial backgrounds. However, little is known about the racial distribution of specific molecular types of brain tumors. Public data repositories lack data on many brain tumor subtypes as well as diagnostic annotation using the current World Health Organization classification. A better understanding of the prevalence of brain tumors in different racial backgrounds may provide insight into tumor predisposition and development, and improve prevention. We retrospectively analyzed the racial distribution of 1709 primary brain tumors classified by their methylation profiles using clinically validated whole genome DNA methylation. Self-reported race was obtained from medical records. Our cohort included 82% White, 10% Black, and 8% Asian patients with 74% of patients reporting their race. There was a significant difference in the racial distribution of specific types of brain tumors. Blacks were overrepresented in pituitary adenomas (35%, P < .001), with the largest proportion of FSH/LH subtype. Whites were underrepresented at 47% of all pituitary adenoma patients (P < .001). Glioblastoma (GBM) IDH wild-type showed an enrichment of Whites, at 90% (P < .001), and a significantly smaller percentage of Blacks, at 3% (P < .001). Molecularly classified brain tumor groups and subgroups show different distributions among the three main racial backgrounds suggesting the contribution of race to brain tumor development.

The influence of the built environment on drug misuse and abuse

Drug misuse and overdoses (DMO) continue to rise in the United States and around the world. As the COVID-19 pandemic lockdown brought America to a standstill, the drug overdose epidemic took a sharp turn for the worse. Poorly built environments have been said to pose greater risks for substance use. The inequitable race and socioeconomic status distribution of the built environment might be tipping drug overdose and deaths toward minority populations. This review examined the contribution of the built environment to drug misuse and overdose to identify further research and policy needs. Databases like PubMed and Google Scholar were searched for peer-reviewed empirical studies in the English language published from 2010 to March 2021. MeSH search terms were built environment, overdose, drug, and drug overdose. Using the PRISMA flow diagram of article selection, title, and abstract screening plus text narrative synthesis of included articles were done. The built environment features making it more conducive to initiating and maintaining DMO included disinvestment, geographical context (urban versus rural), spatial characteristics of the built environment, easy access to drugs, low access to interventions, and built-environment-associated environmental and social stressors. Built environment features play some roles in drug misuse problems. Policies and programs are needed that place the built environment at the centre of health, drug overdose prevention, and harm reduction, provide increased treatment facilities for addicted persons, ensure stricter opioid prescription measures, and address poverty as well as hopelessness due to disinvestment.

Neighborhood racial income inequality and cognitive health.

Neighborhood socioeconomic status (SES) has been linked to dementia, but the distribution of SES within a neighborhood may also matter. Data from 460 (47% Black, 46% White) older adults from the Michigan Cognitive Aging Project were linked to census tract-level data from the National Neighborhood Data Archive (NaNDA). Neighborhood SES included two composites reflecting disadvantage and affluence. Neighborhood racial income inequality was the ratio of median incomes for White versus Black residents. Generalized estimating equations examined associations between neighborhood factors and cognitive domains. Neighborhood racial income inequality was uniquely associated with worse cognitive health, and these associations did not differ by participant race. Neighborhood disadvantage was only associated with worse cognitive health among Black participants. Both the level and racial distribution of SES within a neighborhood may be relevant for dementia risk. Racial differences in the level and impact of neighborhood SES contribute to dementia inequalities. Black participants lived in neighborhoods with lower socioeconomic status (SES) than White participants, on average. Neighborhood SES and racial income inequality were associated with worse cognition. Effects of neighborhood racial income inequality did not differ across racial groups. Effects of neighborhood SES were only evident among Black participants.

Postpartum Primary Care Engagement Using Default Scheduling and Tailored Messaging

More than 30% of pregnant people have at least 1 chronic medical condition, and nearly 20% develop gestational diabetes or pregnancy-related hypertension, increasing the risk of future chronic disease. While these individuals are often monitored closely during pregnancy, they face major barriers when transitioning to primary care following delivery, due in part to a lack of health care support for this transition. To evaluate the impact of an intervention designed to improve postpartum primary care engagement by reducing patient administrative burden and information gaps. An individual-level randomized clinical trial was conducted from November 3, 2022, to October 11, 2023, at 1 hospital-based and 5 community-based outpatient obstetric clinics affiliated with a large academic medical center. Participants included English- and Spanish-speaking pregnant or recently postpartum adults with obesity, anxiety, depression, diabetes, chronic hypertension, gestational diabetes, or pregnancy-related hypertension and a primary care practitioner (PCP) listed in their electronic health record. A behavioral economics-informed intervention bundle, including default scheduling of postpartum PCP appointments and tailored messages. Completion of a PCP visit for routine or chronic condition care within 4 months of delivery was the primary outcome, ascertained directly by reviewing the patient's electronic health record approximately 5 months after their estimated due date. Intention-to-treat analysis was conducted. A total of 360 patients were randomized (control, 176; intervention, 184). Individuals had a mean (SD) age of 34.1 (4.9) years and median gestational age of 36.3 (IQR, 34.0-38.6) weeks at enrollment. The distribution of self-reported race and ethnicity was 6.8% Asian, 7.4% Black, 68.6% White, and 15.0% multiple races or other. Most participants (75.4%) had anxiety or depression, 16.1% had a chronic or pregnancy-related hypertensive disorder, 19.5% had preexisting or gestational diabetes, and 40.8% had a prepregnancy body mass index of 30 or greater. Medicaid was the primary payer for 21.2% of patients. Primary care practitioner visit completion within 4 months occurred in 22.0% (95% CI, 6.4%-28.8%) of individuals in the control group and 40.0% (95% CI, 33.1%-47.4%) in the intervention group. In regression models accounting for randomization strata, the intervention increased PCP visit completion by 18.7 percentage points (95% CI, 9.1-28.2 percentage points). Intervention participants also had fewer postpartum readmissions (1.7% vs 5.8%) and increased receipt of the following services by a PCP: blood pressure screening (42.8% vs 28.3%), weight assessment (42.8% vs 27.7%), and depression screening (32.8% vs 16.8%). The findings of this randomized clinical trial suggest that the current lack of support for postpartum transitions to primary care is a missed opportunity to improve recently pregnant individual's short- and long-term health. Reducing patient administrative burdens may represent relatively low-resource, high-impact approaches to improving postpartum health and well-being. ClinicalTrials.gov Identifier: NCT05543265.

Single center assessment of the role of Oakland score among patients admitted for acute lower gastrointestinal bleeding

Background/ObjectivesThe Oakland score was developed to predict safe discharge in patients who present to the emergency department with lower gastrointestinal bleeding (LGIB). In this study, we retrospectively evaluated if this score can be implemented to assess safe discharge (score ≤ 10) at WellStar Atlanta Medical Center (WAMC).MethodsA retrospective cohort study of 108 patients admitted at WAMC from January 1, 2020 to December 30, 2021 was performed. Patients with LGIB based on the ICD-10 codes were included. Oakland score was calculated using 7 variables (age, sex, previous LGIB, digital rectal exam, pulse, systolic blood pressure (SBP) and hemoglobin (Hgb)) for all patients at admission and discharge from the hospital. The total score ranges from 0 to 35 and a score of ≤ 10 is a cut-off that has been shown to predict safe discharge. Hgb and SBP are the main contributors to the score, where lower values correspond to a higher Oakland score. Descriptive and multivariate analysis was performed using SPSS 23 software.ResultsA total of 108 patients met the inclusion criteria, 53 (49.1%) were female with racial distribution was as follows: 89 (82.4%) African Americans, 17 (15.7%) Caucasian, and 2 (1.9%) others. Colonoscopy was performed in 69.4% patients; and 61.1% patients required blood transfusion during hospitalization. Mean SBP records at admission and discharge were 129.0 (95% CI, 124.0-134.1) and 130.7 (95% CI,125.7-135.8), respectively. The majority (59.2%) of patients had baseline anemia and the mean Hgb values were 11.0 (95% CI, 10.5–11.5) g/dL at baseline prior to hospitalization, 8.8 (95% CI, 8.2–9.5) g/dL on arrival and 9.4 (95% CI, 9.0-9.7) g/dL at discharge from hospital. On admission, 100/108 (92.6%) of patients had an Oakland score of > 10 of which almost all patients (104/108 (96.2%)) continued to have persistent elevation of Oakland Score greater than 10 at discharge. Even though, the mean Oakland score improved from 21.7 (95% CI, 20.4–23.1) of the day of arrival to 20.3 (95% CI, 19.4–21.2) at discharge, only 4/108 (3.7%) of patients had an Oakland score of ≤ 10 at discharge. Despite this, only 9/108 (8.33%) required readmission for LGIB during a 1-year follow-up. We found that history of admission for previous LGIB was associated with readmission with adjusted odds ratio 4.42 (95% CI, 1.010-19.348, p = 0.048).ConclusionsIn this study, nearly all patients who had Oakland score of > 10 at admission continued to have a score above 10 at discharge. If the Oakland Score was used as the sole criteria for discharge most patients would not have met discharge criteria. Interestingly, most of these patients did not require readmission despite an elevated Oakland score at time of discharge, indicating the Oakland score did not really predict safe discharge. A potential confounder was the Oakland score did not consider baseline anemia during calculation. A prospective study to evaluate a modified Oakland score that considers baseline anemia could add value in this patient population.

Performance Evaluation of Local Honey Bee Races (&amp;lt;i&amp;gt;Apis mellifera bandansi&amp;lt;/i&amp;gt;) at Wondo Genet, Sidama Regional State of Southern Ethiopia

The research was undertaken in Wondo genet agricultural a study conducted at a research facility between 2015 and 2017 focused on assessing the performance of &amp;lt;i&amp;gt;Apis mellifera bandansi&amp;lt;/i&amp;gt; honey bee races. The objective was to identify and choose the most effective honey bee races based on various parameters such as defensive behavior, hygienic practices, absconding tendencies, foraging abilities, swarming patterns, and productivity in terms of hive product area. A total of thirty bee races were evaluated during the study period (30) colonies of &amp;lt;i&amp;gt;Apis mellifera bandansi&amp;lt;/i&amp;gt;i honeybee were established on station. Basic management practices were made reasonably uniform for tested colonies. The investigation indicated the races exhibited aggressive behavior, resulting in stings on the examiner, with a maximum count of up to 158±15.3 and a minimum of 60 stings on the manipulator. The distance covered by the races extended long, reaching up to 255±74.1 meters away from the entrance. The absconding percentage from a total of thirty colonies ranged from a maximum of 50% in 2015 to a minimum of 26% in 2017. The early and late foraging behavior of the colony was also documented early morning 5:30 am time foraging, whereas late foraging time was at 7:15pm pm e back to their nest in the evening. The remaining hive products were quantified in a 5x5 cm2 comb area cell over the course of the production season, with measurements taken at 21-day intervals to assess the brood area. The values obtained, expressed as the mean ± standard deviation, indicated the range from maximum to minimum for the adult, brood, pollen, nectar, and honey area in cm&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;. 79.5±13.4 107.1±24.6, 74.41±31.3, 48.2±9.0 for year (2015), 74.5±6.5, 107.1±24.6, 48.5±16.9, 81.8±31.6 for (year, 2016) and 114.8±20.5, 96.2±17.4, 50.0±19.4 and 90.7±40.2 for (year, 2017 respectively. The Apis mellifera, typically referred to in a general sense bandansi the race demonstrates positive attributes in terms of hygienic behavior and is also efficient in maximizing honey production when subjected to appropriate management strategies. It is recommended to conduct additional research on the specification of geographical location in relation to the distribution of different races and their identification for the purpose of breed determination and enhancement. This will aid in the selection of colonies that are more suitable in terms of production efficiency, temperament, resistance to pests, parasites, and diseases, as well as foraging and absconding tendencies.

P-288 How do pregnancy complications, intrapartum, and neonatal risks differ in bicornuate and didelphys uteri. A population-based study

Abstract Study question Are there differences between didelphys and bicornuate uteri regarding obstetrical and neonatal outcomes based on an analysis of a population database? Summary answer Didelphys uteri present higher risks of preeclampsia, preterm delivery, PPROM, and cesarean delivery; while bicornuate uteri present higher risks of placenta previa, and placental abruption. What is known already Didelphys and bicornuate uteri are similar congenital anomalies with duplication of the uterine corpus. It is thought that both defects are similar when it comes to pregnancy complications, with increased risks of preterm delivery (PTD), malpresentation, and cesarean delivery, when compared to women without uterine anomalies. The didelphys uterus has two cervixes and a double vagina while the bicornuate uterus has one cervix and a single vagina. This minor difference may or may not alter the risks of pregnancy complications in these groups. However, obstetric and perinatal outcomes for didelphys and bicornuate uteri have never been directly compared. Study design, size, duration This retrospective population-based cohort study utilized data from the Healthcare-Cost and Utilization Project-Nationwide Inpatient Sample (HCUP-NIS) from 2010 to 2014, inclusively. There were 3,846,342 births between 2010 and 2014, 1146 women with didelphys uteri and 6327 women with bicornuate uteri were included in the database and the study. Women were included only once per pregnancy. Participants/materials, setting, methods HCUP-NIS is the largest inpatient database in the USA and is comprised of hospitalizations throughout the USA. It provides information relating to seven-million inpatient stays yearly, includes 20% of admissions, and represents over 96% of Americans. Multivariate logistic regression was conducted to explore associations between bicornuate uteri and delivery outcomes while controlling for confounding effects. According to the Tri-Council Policy Statement (2018), IRB approval was not required, given data was anonymous and publicly available. Main results and the role of chance No significant difference was seen between the groups in regard to age, income, medical insurance plan, rates of obesity, illicit drug use, chronic hypertension, diabetes, thyroid disease, HIV, tobacco smoking during pregnancy, previous cesareans, pregnancy from IVF, and multiple gestations (P &amp;gt; 0.05). The only difference was in racial distribution, which was controlled for in the subsequent analysis (p &amp;lt; 0.05).In comparison to pregnant women with bicornuate uteri, patients with didelphys uteri were more likely to experience preeclampsia (aOR 1.38 95%CI: 1.05-1.80 P = 0.020), preterm premature rupture of membranes (PPROM) (aOR 1.76 95%CI1.32-2.34 P = 0.000), preterm delivery (aOR 1.39 95% CI1.18-1.64P=0.000), and higher chances of cesarean delivery (aOR 1.41 95% CI1.20-1.64 P = 0.000), after controlling for confounding demographics. Additionally, women with didelphys uteri have less risks of developing placenta previa (aOR 0.26 95%CI: 0.08-0.84 P = 0.024) and Abruptio placenta (aOR 0.52 95%CI 0.31-0.87 P = 0.013). No significant difference was seen between the groups regarding pregnancy induced hypertension, eclampsia, gestational diabetes, chorioamnionitis, operative vaginal delivery, hysterectomy, post-partum hemorrhage, wound complications, blood transfusion, maternal death, maternal infection, venous thromboembolism, pulmonary embolism or DIC (P &amp;gt; 0.05). Moreover, there was no significant difference between the two groups when comparing neonatal outcomes, including small for gestational age fetuses and intrauterine fetal demise (P &amp;gt; 0.05). Limitations, reasons for caution The limitation of our study are related to its retrospective nature and use of administrative database, which relies on the accuracy, and consistency of the individual coding the data, and the masking of undetected bias. Wider implications of the findings The present study demonstrates that women with bicornuate and didelphys uteri have certain differences when it comes to pregnancy, and intrapartum complications, including rates of preeclampsia, placenta previa, placental abruption, cesarean section, PPROM, and preterm delivery. These findings emphasize the importance of individualized perinatal care in these two cases. Trial registration number not applicable

A Comparison of Racial and Ethnic Disparities in Complications Following Burn Injury in Adult Patients.

Burn injury contributes to significant morbidity and mortality in the United States. Despite an increased focus on racial and ethnic disparities in healthcare, there remains a critical knowledge gap in our understanding of the effect of these disparities on complications experienced by burn patients. The American Burn Association's National Burn Repository data were reviewed from 2010-2018. Information regarding demographics, burn mechanism and severity, complications, and clinical outcomes were recorded. Data analysis was performed using 1:1 propensity-score-matching and logistic regression modeling. A separate analysis of Hispanic and non-Hispanic patients was performed using Chi squared tests. Among 215,071 patients, racial distribution was 65.16% white, 19.13% black, 2.18% Asian, 0.74% American Indian/Alaskan Native, and 12.78% other. Flame injuries were the most common cause (35.2%), followed by scald burns (23.3%). All comparisons were made in reference to the white population. Black patients were more likely to die (OR: 1.28; 95%CI: 1.17-1.40), experience all (OR: 1.08; 95%CI: 1.03-1.14), cardiovascular (OR: 1.24; 95%CI: 1.08-1.43), or infectious (OR: 1.64; 95%CI: 1.40-1.91) complications, and less likely to experience airway complications (OR: 0.83; 95%CI: 0.74-0.94). American Indian/Alaskan Native patients were more likely to experience any complication (OR: 1.33; 95%CI: 1.05-1.70). All minority groups had increased length of hospital stay. Black, Asian, and other patients had longer length of ICU stay. Black patients had longer ventilator duration. Among 82,775 patients, 24,075 patients were identified as Hispanic and 58,700 as non-Hispanic. Statistically significant differences were noted between groups in age, TBSA, proportion of 2nd degree burn, and proportion of 3rd degree burn (p<0.01). These findings highlight the need for further work to determine the etiology of these disparities to improve burn care for all patients.

The 90-Day Risk of Hospitalization in Heart Transplant Recipients After COVID-19 Infection

BackgroundHeart transplant recipients are at a high-risk of complications from the coronavirus-2019 (COVID-19) infection. Heart transplant recipients are a special group of persistently immunosuppressed people, and COVID-19 may cause them to experience an unpredictable course of infection, with a risk of hospitalization occurring well beyond their initial infection period. The seriousness of COVID-19 disease in heart transplant recipients emphasizes how vital it is to refer patients promptly and early to specialized heart transplant centers. MethodsWe retrospectively reviewed all heart transplant recipients at a single center between March 2019 and October 2021. All recipients with positive nasopharyngeal reverse transcriptase-polymerase chain reaction tests for COVID-19 were included in this study. After IRB approval, we obtained medical records and patient data from electronic medical records. ResultsThis study followed 126 heart transplant patients from March 2019 to October 2021 of which only 49 had COVID-19 infections. The median age at infection was 58 years (49-65), with 41% female. Race distribution was as follows: 59% Caucasian and 39% African American. The median time from transplant to infection was 384 days (237-677). All infected patients had a 50% dose reduction in mycophenolate mofetil per institutional protocol. The majority of symptoms were cough, fatigue, shortness of breath, and fever. Among all patients with COVID-19, 45 (92%) were vaccinated. Of those vaccinated, 27 (60%) patients received Pfizer initial and booster doses, whereas 18 (40%) received Moderna initial and booster doses. Twelve patients (24%) were hospitalized within 90 days of infection, with only two requiring ICU level of care. The median duration of hospitalization was 5 days (4-9). Of the hospitalized patients, 11 (92%) were discharged, and 1 (8%) died in the hospital. Three of the four unvaccinated patients were hospitalized, and one died while hospitalized. The remaining 37 patients were managed as outpatients. ConclusionHeart transplant recipients have an increased risk of contracting COVID-19 and developing severe symptoms due to multiple healthcare contacts, preexisting health conditions, and weakened immune systems. Our data highlight that most vaccinated patients do not require hospitalization within 90 days of infection, and those hospitalized have a high likelihood of survival without needing ICU care.

Patient Demographic Factors Affect Response Rates to Patient-Reported Outcome Measures for Total Hip Arthroplasty Patients

BackgroundThe Hip Disability and Osteoarthritis Outcome Score (HOOS JR) is a widely used patient-reported outcome measures questionnaire for total hip arthroplasty (THA). However, not all patients choose to complete HOOS JR, and thus, a subset of the THA population may be underrepresented. This study aims to investigate the association between patient demographic factors and HOOS JR response rates. MethodsThis was a retrospective cohort study of adult, English-speaking patients who underwent primary THA by a fellowship-trained arthroplasty surgeon between 2017 and 2023 at a single, high-volume academic institution. The HOOS JR completion status—complete or incomplete—was recorded for each patient within 90 days of surgery. Standard statistical analyses were performed to assess completion against multiple patient demographic factors. ResultsOf the 2,908 total patients, 2,112 (72.6%) had complete and 796 (27.4%) had incomplete HOOS JR questionnaires. Multivariate analysis yielded statistical significance (P < .05) for the distribution of patient age, race, insurance, marital status, and income quartile with respect to questionnaire completion. Patient sex or religion did not affect response rates. Failure to complete HOOS JR (all P < .001) was associated with patients aged 18 to 39 (59.8%), who identified as Black (36.4%) or “other” race (39.6%), were never married (38%), and were in the lower half income quartiles (43.9%, 35.9%) when compared to the overall incomplete rate. ConclusionsMultiple patient demographic factors may affect the HOOS JR response rate. Overall, our analyses suggest that older patients who identify as White and are of higher socioeconomic status are more likely to participate in the questionnaire. Efforts should focus on capturing patient groups less likely to participate to elucidate more generalizable trends in arthroplasty outcomes.

Latent Class Analysis of Dietary Intake and Organic Food Consumption in a Midwest Cohort of Pregnant Individuals

Introduction: The objective of the study was to describe food consumption patterns over the trimesters throughout pregnancy in a prospective obstetric cohort. We planned to characterize patterns of overall food and organic food consumption into groups using a latent class analysis (LCA). Methods: A Midwest pregnancy cohort self-reported dietary food intake and percent of foods of each type that they consumed which were organic on a questionnaire. This was administered multiple times during pregnancy. The food frequency questionnaire was designed for this study and contained questions related to 89 food categories. The questionnaire was completed once in each trimester, after they were enrolled into the study. The cohort has responses across the 13 food domains were grouped by a LCA process demonstrating separation of the cohort by higher or lower consumption of fruits, vegetables, and berries and percentage of those foods where organics were consumed. The organic percentage in each food was categorized as low (0-10%) and significant (anything &gt; 10%). Demographic characteristics were compared between LCA groups. Results: Valid responses were analyzed from 359 participants. The LCA best model grouped participants into 3 groups: I- high fruits, vegetables and berries, with significant organic use; II- high fruits, vegetables, and berries, with low or no organic use; and III- low fruits, vegetables, and berries with low organic use . Using this grouping, there were 84 (23.4%) in Class I, 153 (42.6%) in Class II, and 122 (34.0%) in Class III. There were significant differences in racial distribution in the groups, with lower rates of Caucasians in Class II and higher rates of Hispanic women in reporting Class I. We observed that 50% of African American women were grouped into Class III. Women in class III tended to be younger (p=0.01), unmarried (52.4%, p&lt;0.001), have less than college degree attainment (p=0.0005), be of lower income (p&lt;0.001), and be a current smoker (p=0.03). -While not statistically significant, living in an urban area was higher for those in Class III than in Class I or II. - Participants living in rural areas were reported significant organic food consumption 18.6%, compared to 24.1% of those in suburban areas and 23.1% in urban areas (p=0.36). 23.1% of rural-dwelling participants were grouped in Class III compared to 31.9% of those in suburban areas and 35.3% of those in urban areas. (p=0.36). Conclusion: Self-reported food consumption in this pregnancy cohort was categorized in 3 classes based on consumption of fruits, vegetables, and berries and the percentage of foods consumed that were organic. These Classes were associated with multiple maternal characteristics. This may indicate opportunities for dietary education interventions for pregnant individuals.

Racial and ethnic disparities in severe maternal morbidity from pregnancy through 1-year postpartum

BACKGROUNDPrevious studies examining racial and ethnic disparities in severe maternal morbidity (SMM) have mainly focused on intrapartum hospitalization. There is limited information regarding the racial and ethnic distribution of SMM occurring in the antepartum and postpartum periods, including SMM occurring beyond the traditional 6 weeks postpartum period. OBJECTIVETo examine the racial and ethnic distribution of SMM during antepartum, intrapartum, and postpartum hospitalizations through 1-year postpartum, overall and stratified by maternal sociodemographic factors, and to estimate the percent increase in SMM by race and ethnicity and maternal sociodemographic factors within each racial and ethnic group after accounting for both antepartum and postpartum SMM through 1-year postpartum rather than just SMM occurring during the intrapartum hospitalization. STUDY DESIGNWe conducted a retrospective cohort study using birth and fetal death certificate data linked to hospital discharge records from Michigan, Oregon, and South Carolina from 2008–2020. We examined the distribution of non-transfusion SMM and total SMM per 10,000 cases during antepartum, intrapartum, and postpartum hospitalizations through 365 days postpartum by race and ethnicity and by maternal education and insurance type within each racial and ethnic group. We subsequently examined “SMM cases added” by race and ethnicity and by maternal education and insurance type within each racial and ethnic group. The “SMM cases added” represent cases among unique individuals that are identified by considering the antepartum and postpartum periods but that would be missed if only the intrapartum hospitalization cases were included. RESULTSAmong 2,584,206 birthing individuals, a total of 37,112 (1.4%) individuals experienced non-transfusion SMM and 64,661 (2.5%) experienced any SMM during antepartum, intrapartum, and/or postpartum hospitalization. Black individuals had the highest rate of antepartum, intrapartum, and postpartum non-transfusion and total SMM followed by American Indian individuals. Asian individuals had the lowest rate of non-transfusion and total SMM during antepartum and postpartum hospitalizations while White individuals had the lowest rate of non-transfusion and total SMM during the intrapartum hospitalization. Black individuals were 1.9 times more likely to experience non-transfusion SMM during the intrapartum hospitalization than White individuals, which increased to 2.8 times during the antepartum period and to 2.5 times during the postpartum period. Asian and Hispanic individuals were less likely to experience SMM in the postpartum period than White individuals. Including antepartum and postpartum hospitalizations resulted in disproportionately more cases among Black and American Indian individuals than among White, Hispanic, and Asian individuals. The additional cases were also more likely to occur among individuals with lower educational levels and individuals on government insurance. CONCLUSIONRacial disparities in SMM are underreported in estimates that focus on the intrapartum hospitalization. Additionally, individuals with low socio-economic status bear the greatest burden of SMM occurring during the antepartum and postpartum periods. Approaches that focus on mitigating SMM during the intrapartum period only do not address the full spectrum of health disparities.El resumen está disponible en Español al final del artículo.

Distribution and Pathogenicity Differentiation of Physiological Races of Verticillium dahliae from Cotton Stems in Western China.

Verticillium wilt, caused by the pathogenic fungus Verticillium dahliae, has emerged as a severe threat to cotton globally. However, little is known about the genetic diversity of this pathogen in an infected single cotton plant. In this study, we isolated three new V. dahliae strains from the disease stems of Gossypium hirsutum from the cotton field in Western China and assessed their pathogenicity to the cotton cultivar Xinnongmian-1 and its two transgenic lines, as well as two laboratory strains, VD592 and VD991. These three new V. dahliae strains were identified using DNA barcodes of tryptophan synthase (TS), actin (ACT), elongation factor 1-α (EF), and glyceraldehyde-3-phosphate dehydrogenase (GPD). Moreover, the haplotype analysis revealed that the three new races had distinct haplotypes at the TS locus. Furthermore, the results of culture features and genetic diversity of ISSR (inter-simple sequence repeat) revealed that there were separate V. dahliae strains, which were strong defoliating pathotypes belonging to race 2 type, as determined by particular DNA marker recognition. The identified strains demonstrated varied levels of pathogenicity by leaf disc and entire plant inoculation methods. Conservatively, these strains showed some pathogenicity on cotton lines, but were less pathogenic than the reference strains. The findings revealed that several strong defoliating V. dahliae pathotypes coexist on the same cotton plant. It indicats the importance of regular monitoring as an early warning system, as well as the detection and reporting of virulent pathogen strains and their effects on crop response.

Distribution of Three Verticillium dahliae Races in Coastal California and Evaluation of Resistance in Lettuce.

Verticillium wilt, caused by Verticillium dahliae, is one of the most devastating soilborne diseases of lettuce (Lactuca sativa L.). There are three races of V. dahliae, and each race has been characterized by markers representing race-specific effectors. Race 1 is differentiated by the presence of the functional secretory Ave1 effector. Similarly, races 2 and 3 are differentiated by effectors VdR2e and VdR3e, respectively. Although the presence of race 1 in coastal California was well established, the presence of effector-based races 2 and 3 was uncertain. This study therefore focused on characterizing 727 isolates collected from 142 ranches of symptomatic lettuce and other crops from coastal California. Based on this evaluation, 523 isolates were designated as race 1, 20 isolates as race 2, 23 isolates as race 3, and 17 as race undefined. Isolates representing other Verticillium species totaled 110, and 34 were non-Verticillium fungal species. Because the use of resistant cultivars is a key strategy to manage this disease, we evaluated 48 lettuce germplasm lines and 1 endive (Cichorium endivia L.) line, comprising commercial cultivars and breeding lines, including the race 1-resistant heirloom cultivar La Brillante and the susceptible cultivar Salinas as controls. Resistance against races 1, 2, and 3 along with VdLs17, a virulent isolate of V. dahliae from lettuce that is currently not assigned to a race, was evaluated in replicated greenhouse experiments. Two crisphead lettuce lines, HL28 and HL29, exhibited resistance against race 1 and a partial resistance against race 2, whereas all other lines were highly susceptible to races 1 and 2 and VdLs17. The majority of lines exhibited higher resistance to race 3 relative to the other two races. This study documents the current distribution of the different races in coastal California. In addition, the sources of resistance currently being developed should be effective or partially effective against these races for targeted deployment as soon as they are available.

Prevalence and association of polycystic ovary syndrome and hidradenitis suppurativa in underrepresented groups

Hidradenitis suppurativa (HS) is an inflammatory disorder of follicular biology; androgens are believed to be involved in its pathogenesis. Polycystic ovary syndrome (PCOS) is similarly characterized by hyperandrogenism. Previous studies have found a lasting association of HS and PCOS. Socioeconomic status (SES) has been described as a comorbidity for both HS and PCOS that has not been accounted for in prior studies; we sought to investigate this association while adjusting for this. We also analyzed the prevalence of PCOS among HS patients. Using the All of Us database, female HS patients were stratified by PCOS diagnosis and compared by age, race, and ethnicity. Female HS patients were also nearest-neighbor propensity-score matched to controls at a 4:1 ratio, selecting for race, ethnicity, age, ever smoker, alcohol use disorder, obesity, type II diabetes, Medicaid status, and community deprivation index. Univariable and multivariable logistic regression was conducted to estimate the effect of HS on the presence of PCOS. The distribution of race among HS patients with PCOS was significantly different than HS patients without PCOS. A total of 1,022 female HS patients and 4,088 matched female controls were included. Significantly more patients carried a diagnosis of PCOS compared to controls (8.8% versus 4.3%, p < .001). In multivariable logistic regression, PCOS was significantly associated with HS [OR 1.71 (95% CI 1.34–2.17)]. This is the first study investigating the association of HS and PCOS within the All of Us database. We found that females with HS had a 1.34- to 2.17-fold increased odds of having PCOS, which is consistent with previous analyses. However, our analysis, in addition to controlling for common medical co-morbidities found in both HS and PCOS, also accounts for markers of SES at an individual and community level, further strengthening the association of HS with PCOS.

Increasing Voter Participation Through Health Care–Based Voter Registration

Young people and historically marginalized racial and ethnic groups are poorly represented in the democratic process. Addressing voting inequities can make policy more responsive to the needs of these communities. To assess whether leveraging health care settings as venues for voter registration and mobilization is useful, particularly for historically underrepresented populations in elections. In 2020, nonpartisan nonprofit Vot-ER partnered with health care professionals and institutions to register people to vote. This cross-sectional study analyzed the demographics and voting behavior of people mobilized to register to vote in health care settings, including hospitals, community health centers, and medical schools across the US. The age and racial and ethnic identity data of individuals engaged through Vot-ER were compared to 2 national surveys of US adults, including the 2020 Cooperative Election Study (CES) and the 2020 American National Election Study (ANES). Health care-based voter registration. The main outcomes were age composition, racial and ethnic composition, and voting history. Of the 12 441 voters contacted in health care settings, 41.9% were aged 18 to 29 years, 15.9% were identified as African American, 9.6% as Asian, 12.7% as Hispanic, and 60.4% as White. This distribution was significantly more diverse than the racial and ethnic distribution of the ANES (N = 5447) and CES (N = 39 014) samples, of which 72.5% and 71.19% self-identified as White, respectively. Voter turnout among health care-based contacts increased from 61.0% in 2016 to 79.8% in 2020, a turnout gain (18.8-percentage point gain) that was 7.7 percentage points higher than that of the ANES sample (11.1-percentage point gain). Demographically, the age distribution of voters contacted in health care settings was significantly different from the ANES and CES samples, with approximately double the proportion of young voters aged 18 to 29 years. This cross-sectional study suggests that health care-based voter mobilization reaches a distinctly younger and more racially and ethnically diverse population relative to those who reported contact from political campaigns. This analysis of the largest health care-based voter mobilization effort points to the unique impact that medical professionals may have on voter registration and turnout in the 2024 US elections. In the long term, health equity initiatives should prioritize expanding voting access to address the upstream determinants of health in historically marginalized communities.

Multisite Pragmatic Cluster-Randomized Controlled Trial of the CONCERN Early Warning System.

Late predictions of hospitalized patient deterioration, resulting from early warning systems (EWS) with limited data sources and/or a care team's lack of shared situational awareness, contribute to delays in clinical interventions. The COmmunicating Narrative Concerns Entered by RNs (CONCERN) Early Warning System (EWS) uses real-time nursing surveillance documentation patterns in its machine learning algorithm to identify patients' deterioration risk up to 42 hours earlier than other EWSs. To test our a priori hypothesis that patients with care teams informed by the CONCERN EWS intervention have a lower mortality rate and shorter length of stay (LOS) than the patients with teams not informed by CONCERN EWS. One-year multisite, pragmatic controlled clinical trial with cluster-randomization of acute and intensive care units to intervention or usual-care groups. Two large U.S. health systems. Adult patients admitted to acute and intensive care units, excluding those on hospice/palliative/comfort care, or with Do Not Resuscitate/Do Not Intubate orders. The CONCERN EWS intervention calculates patient deterioration risk based on nurses' concern levels measured by surveillance documentation patterns, and it displays the categorical risk score (low, increased, high) in the electronic health record (EHR) for care team members. Primary outcomes: in-hospital mortality, LOS; survival analysis was used. Secondary outcomes: cardiopulmonary arrest, sepsis, unanticipated ICU transfers, 30-day hospital readmission. A total of 60 893 hospital encounters (33 024 intervention and 27 869 usual-care) were included. Both groups had similar patient age, race, ethnicity, and illness severity distributions. Patients in the intervention group had a 35.6% decreased risk of death (adjusted hazard ratio [HR], 0.644; 95% confidence interval [CI], 0.532-0.778; P<.0001), 11.2% decreased LOS (adjusted incidence rate ratio, 0.914; 95% CI, 0.902-0.926; P<.0001), 7.5% decreased risk of sepsis (adjusted HR, 0.925; 95% CI, 0.861-0.993; P=.0317), and 24.9% increased risk of unanticipated ICU transfer (adjusted HR, 1.249; 95% CI, 1.093-1.426; P=.0011) compared with patients in the usual-care group. A hospital-wide EWS based on nursing surveillance patterns decreased in-hospital mortality, sepsis, and LOS when integrated into the care team's EHR workflow. ClinicalTrials.gov Identifier: NCT03911687.

Racial disparities in the intervention trials in colon cancer.

e13718 Background: Colorectal cancer (CRC) is the third-leading cancer worldwide and racial minorities bear a disproportionate burden of this disease. Methods: We searched the clinicaltrials.gov database for all the completed clinical trials conducted on adult patients until 2023 in the United States. In intervention trials, we manually abstracted data on the racial distribution of enrollees, phases, tumor histology, intervention type, and year of completion. We divided interventions into chemotherapy, radiotherapy, surgery, immunotherapy, behavioral, diagnostic tests, and others. To quantify the racial disparity, we calculated the enrolment ratio (ER) as the observed ratios of racial participation in the study compared to the prevalence in colorectal cancer per the 2009-2019 Surveillance, Epidemiology and End Results (SEER) database. We also conducted subgroup racial enrollment based on clinical trial and type of intervention. Results: We identified 394 studies, of which 252 studies (64%) had racial distribution published, including 138814 participants. Most studies were phase 2 trials (168), followed by phase 1/2 trials (49) and phase 3 studies (43). The racial breakdown included 88677 White participants (63.9%), 23230 were African Americans (16.7%), 9963 were Asians (7.1%), 4398 were of other races (3.2%), and 12546 were of unknown race (9.0%). The frequency of including racial data was 100% in Phase 1 studies, 56.5% in Phase 2, 58.1% in Phase 3, and only 16% in Phase 4. A total of 185 were immunotherapy trials, out of which 63 studied chemotherapies, radiotherapy and/ or surgery along with immunotherapy. Racial enrolment data was reported in 68.6 %, 58% and 59.3% in immunotherapy, chemotherapy, and radiotherapy interventions respectively. The ERs of whites, blacks, and Asians were 0.8, 1.3, and 0.9, respectively (Table). However, ER in subgroups with specific interventions, such as chemotherapy, immunotherapy, and radiotherapy, were 0.5, 0.4, and 0.6, respectively. Conclusions: African Americans are underrepresented in CRC intervention trials. Equal access and tailored strategies for cultural and linguistic differences are needed for fair participation. [Table: see text]

Racial disparities among triple negative breast cancer clinical trial enrollees between 2010-2023.

1093 Background: Despite the social construct of race lacking biological significance, it plays a significant role in health disparities and necessitates examination to address social stratification and health inequities. Not reporting race in medical research neglects the reality of social stratification, injustices, and implications for population health. Additionally, excluding racial demographic data from research publications may conceal health disparities. This study focuses on Triple Negative Breast Cancer (TNBC) clinical trials, aiming to meta-analyze the inclusion of racial data and assess racial representation. Methods: A meta-analysis of 81 completed TNBC trials (2011-2023) from ClinicalTrials.gov was conducted. Demographic data on race and sex were extracted and analyzed using Microsoft Excel. Two independent reviewers extracted study-level data for a random-effects analysis. The primary outcome was identifying the prevalence of studies lacking racial data. The secondary outcomes are the prevalence of each racial category (White, Black, Asian, Hispanic/Latino, and Combined Other) among all TNBC clinical trials that reported demographic information. The Combined Other category includes American Indian, Native Hawaiian, more than one race, and unknown/unreported. Results: Of 81 trials, 29.63% did not report racial data. The remaining 57 trials (8,196 participants) revealed 73.98% White, 10.29% Asian, 7.85% Black, 8.02% Hispanic/Latino, and 4.12% "combined other" participants. U.S.-based trials (36 studies, 3,348 participants) showed 77.96% White, 12.03% Black, 4.51% Asian, and 4.96% Hispanic/Latino participants. Moreover, we conducted a comparative analysis between the racial distribution in U.S. clinical trials and the prevalence of TNBC in the U.S. population, utilizing the National Cancer Institute’s Surveillance, Epidemiology, and End Results (SEER) Public Use Datasets (2010-2019). The analysis revealed a significant discrepancy with White (p&lt;.001) participants being overrepresented, and Black (p&lt;.001), Asian (p&lt;.001), Hispanic/Latino (p&lt;.001), American Indian (p&lt;.001), more than one race (p&lt;.02), and Other/Unknown (p&lt;.001) populations being underrepresented. Conclusions: Globally, 29.63% of TNBC trials did not report racial data, raising concerns about generalizability. U.S.-based studies exhibited overrepresentation of White participants and underrepresentation of Black, Asian, Hispanic/Latino, American Indian, Native Hawaiian, and other categories. Notably, Black and Hispanic/Latino individuals, comprising a substantial portion of TNBC patients, were underrepresented. These findings underscore racial/ethnic disparities in breast cancer trial participation, warranting further investigation into recruitment barriers for equitable participation.