Ethnic Distribution Research Articles

Language-based exclusion associations with racial and ethnic disparities in thyroid cancer clinical trials

BackgroundRacial and ethnic disparities in thyroid cancer care may be mitigated by improving enrollment of more diverse patient populations in clinical trials. We studied trial eligibility criteria and enrollment to assess barriers to equitable representation. MethodsClinicalTrials.gov was searched for studies on thyroid cancer treatment conducted between 1993 and 2023. The inclusion and exclusion criteria of each study were examined. For published studies, reported demographic information was collected. Observed enrollment by race was compared with the expected distribution as determined using data from the US Census and the National Cancer Institute’s Surveillance, Epidemiology, and End Results (SEER) databases. Over- and under-representation was defined as the ratio of observed to expected (O/E) enrollment by the race and ethnicity group. ResultsOf 309 thyroid cancer–related trials, 23 (7.4%) used language as an exclusion criterion. Most were interventional (n = 239, 77.3%), university-initiated (194, 62.8%), and drug/device-focused (195, 63.1%). Of studies that excluded by language, 20 (87.0%) were university-initiated. Eighty-eight trials were subsequently published, with 16 (18.2%) reporting race and/or ethnicity distributions. When comparing O/E ratios, White American participants were over-represented (O/E ratio: 1.2, P < .0001). Under-represented groups included Asian/Native Hawaiian (O/E ratio: 0.6, P = .0085), Black (0.6, P = .014), Native American (0.2, P = .072), and Hispanic patients (0.2, P < .0001). ConclusionOver the last 3 decades, 1 in 13 thyroid cancer–related clinical trials excluded patients based on language. In the fraction of published studies to report on racial and ethnic demographics, Asian/Native Hawaiian, Black, and Hispanic patients were under-represented. Improved reporting of demographics in published studies and elimination of exclusion criteria such as language that hinder enrollment of minority patients could improve equitable representation of patients in thyroid cancer clinical trials.

The impact of oncology nutrition services on weight change among patients with head and neck or pancreatic cancers.

86 Background: Weight loss is prevalent among cancer patients and correlates with lower health-related quality of life and overall survival rates. Individuals diagnosed with head and neck (HN) and pancreatic cancers face a heightened risk of weight loss due to tumor location and treatment-related side effects. Although guidelines advocate early interventions such as referral to a dietitian for tailored nutritional support, the precise impact of oncology nutrition services (ONS) on weight loss remains unclear. In this study, we investigated the longitudinal association between weight change and ONS among patients diagnosed with HN or pancreatic cancers. Methods: A retrospective chart review was conducted for patients diagnosed with HN or pancreatic cancers visited between January 2019 and December 2023. Inclusion criteria encompassed patients who had weight measurements taken within 30 days of their cancer diagnosis. Patient demographics, clinical characteristics, all recorded body weights, and receipt of ONS were extracted from electronic health records. Weight change (%) from the baseline was calculated at each measurement by subtracting the initial weight value. A mixed-effects model was employed to evaluate the impact of ONS on weight change, with time to weight measurement and ONS serving as interaction terms, after adjusting for demographics and clinical characteristics. Results: A cohort of 1305 patients was identified, predominantly comprising males (n=1014, 63%) and individuals of White race (n=1358, 85%), with a diverse ethnic distribution (Hispanic: n=620, 39%). Of these patients, 947 (73%) received ONS at any point following cancer diagnosis. Significant weight loss over time was noted among all patients (-0.53% per 6 months, p&lt;0.001). Baseline weight, sex, ethnicity, receipt of percutaneous endoscopic gastrostomy, total parenteral nutrition, radiation, chemotherapy, and ONS were significantly associated with weight loss. Following adjustment for the covariates, patients receiving ONS showed significantly less weight loss compared to those without ONS (-0.06% [95% confidence interval (CI): -0.10, -0.03] vs. -0.04% [95% CI: -0.38, -0.23] per 6 months, p&lt;0.001). Conclusions: The findings indicate that ONS plays a significant role in attenuating weight loss among patients diagnosed with HN or pancreatic cancer, irrespective of baseline demographics or clinical status. While the magnitude of weight change may appear modest, its implications are substantial long term. Early referrals to ONS should be recommended for HN or pancreatic cancer patients to mitigate weight loss.

The Influence of Gentrification on Adverse Birth Outcomes in California.

Evidence has documented the effects of place on perinatal outcomes, but less is known about the sociopolitical mechanisms, such as gentrification, that shape neighborhood context and produce spatialized inequities in adverse birth outcomes. Leveraging a diverse sample in California, we assessed theassociations between gentrification and birth outcomes: preterm birth, small-for-gestational-age, and low birth weight. Gentrification was measured using the Freeman method and the Displacement and Gentrification Typology. Descriptive analysis assessed outcome prevalence and race and ethnicity distribution by exposure and participant characteristics. Overall and race and ethnicity-stratified mixed effects logistic models examined associations between gentrification and birth outcomes, sequentially adjusting for sociodemographic status and pregnancy factors, with a random intercept to account for clustering by census tract. In a sample of 5,116,131 births, outcome prevalence ranged from 1.0% for very preterm birth, 5.0% for low birth weight, 7.9% for preterm birth, and 9.4% for small-for-gestational-age. Adjusting for individual-level factors, gentrification was associated with increased odds of preterm birth (Freeman OR = 1.09, 95% CI 1.07-1.10; Displacement and Gentrification Typology OR = 1.11, 95% CI 1.09-1.13). While Displacement and Gentrification Typology-measured gentrification was consistently associated with greater odds of adverse outcomes, Freeman-measured gentrification was associated with slightly lower odds ofsmall-for-gestational-age and low birth weight. Furthermore, gentrification was associated with birth outcome odds across multiple racial and ethnic groups, but the directions and magnitudes of the associations varied depending on the gentrification assessment methodology and the outcome assessed. Results demonstrate that gentrification plays a role in shaping adverse birth outcomes in California.

Racial and Ethnic Representation in Food Allergen Immunotherapy Trial Participants

The lack of inclusion of diverse population samples in food allergy immunotherapy clinical trials not only leads to decreased applicability to the general population in terms of results and treatments but can also be seen as a broader social injustice contributing to inequity within the health care system. To investigate the racial and ethnic distribution of participants included in food allergy immunotherapy clinical trials, and determine whether the racial and ethnic representation in trials accurately reflects the patients who experience food allergy. Data were collected from articles found on PubMed and ClinicalTrials.gov using key terms of food hypersensitivity, food allergy, and immunotherapy, while also incorporating specific criteria such as clinical trials conducted within the last 5 years with children aged from birth to 18 years old. Articles were selected based on their relevance to the research question. Main outcomes were totals and percentages of trial participants by race and ethnicity, stratified by pediatric trials, site of study, and National Institutes of Health funding. Thirty-five articles were initially identified, of which 34 were classified as human clinical trials. Of these trials, 26 met criteria of an original randomized clinical trial and included racial and ethnic demographics for analysis in the study. Among trials included, the majority of the 3689 participants identified as White (2640 participants [72.0%]), followed by Black or African American (293 participants [8.0%]), Asian (239 participants [6.0%]), multiple races or other (210 participants [6.0%]), Hispanic or Latino (96 participants [3.0%]), American Indian (3 participants [<1.0%]), and Native American or Pacific Islander (3 participants [<1.0%]). We observed differences in racial and ethnic inclusion by study site (US vs external to US) and funding support (National Institutes of Health vs industry or other non-National Institutes of Health sources). In this systematic review of racial and ethnic diversity in food allergy immunotherapy trials, there was a lack of diversity relative to the overall food allergy burden among Black and Hispanic patients, indicating important gaps in the conduct of pediatric clinical trials, especially for treatments that are meant for use in broad populations where significant race- and ethnicity-related disparities exist. Working to correct this disparity will not only increase the usefulness of future clinical trial data but can further assist in alleviating public health inequities.

SARS-CoV-2 infection among Colorado adults working outside the home: Occupation, race and ethnicity and mask use.

The workplace is an important setting for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) exposure and transmission. Using data from a large case-control study in Colorado during 2021 and 2022, we aimed to evaluate working outside the home and SARS-CoV-2 infection, the racial and ethnic distribution of workers in occupations associated with infection, and workplace face mask use. Cases were Colorado adults with a positive SARS-CoV-2 test by reverse transcription-polymerase chain reaction (RT-PCR) reported to Colorado's COVID-19 surveillance system selected from surveillance data ≤12 days after their specimen collection date. Control participants were randomly selected adult Coloradans with a RT-PCR-confirmed negative SARS-CoV-2 test result reported to the same surveillance system. Working outside the home was associated with infection (odds ratio [OR] = 1.46, 95% confidence interval [CI]: 1.39-1.54). Among participants working outside the home, "Food Preparation and Serving Related" (aOR = 2.35, 95% CI: 1.80-3.06), "Transportation and Material Moving" (aOR = 2.09, 95% CI: 1.62-2.69), "Construction and Extraction" (aOR = 1.88, 95% CI: 1.36-2.59), "Protective Service" (aOR = 1.60, 95% CI: 1.15-2.24), and "Sales and Related" (aOR = 1.44, 95% CI: 1.22-1.69) were occupational categories most strongly associated with infection. American Indian/Alaskan Native, Black, and Hispanic/Latino participants were more likely than others to work in occupational categories with the highest odds of infection (p < 0.05). Cases were less likely than controls to report always wearing a mask (31.9% vs. 41.5%) and wearing a KN95/N95/KF94 mask (16.8% vs. 27.2%) at work. These findings emphasize the importance of occupation and workplace mask use in the COVID-19 pandemic and its disproportionate racial/ethnic impact on workers.

Improving 18F-FDG PET Quantification Through a Spatial Normalization Method.

Quantification of 18F-FDG PET images is useful for accurate diagnosis and evaluation of various brain diseases, including brain tumors, epilepsy, dementia, and Parkinson disease. However, accurate quantification of 18F-FDG PET images requires matched 3-dimensional T1 MRI scans of the same individuals to provide detailed information on brain anatomy. In this paper, we propose a transfer learning approach to adapt a pretrained deep neural network model from amyloid PET to spatially normalize 18F-FDG PET images without the need for 3-dimensional MRI. Methods: The proposed method is based on a deep learning model for automatic spatial normalization of 18F-FDG brain PET images, which was developed by fine-tuning a pretrained model for amyloid PET using only 103 18F-FDG PET and MR images. After training, the algorithm was tested on 65 internal and 78 external test sets. All T1 MR images with a 1-mm isotropic voxel size were processed with FreeSurfer software to provide cortical segmentation maps used to extract a ground-truth regional SUV ratio using cerebellar gray matter as a reference region. These values were compared with those from spatial normalization-based quantification methods using the proposed method and statistical parametric mapping software. Results: The proposed method showed superior spatial normalization compared with statistical parametric mapping, as evidenced by increased normalized mutual information and better size and shape matching in PET images. Quantitative evaluation revealed a consistently higher SUV ratio correlation and intraclass correlation coefficients for the proposed method across various brain regions in both internal and external datasets. The remarkably good correlation and intraclass correlation coefficient values of the proposed method for the external dataset are noteworthy, considering the dataset's different ethnic distribution and the use of different PET scanners and image reconstruction algorithms. Conclusion: This study successfully applied transfer learning to a deep neural network for 18F-FDG PET spatial normalization, demonstrating its resource efficiency and improved performance. This highlights the efficacy of transfer learning, which requires a smaller number of datasets than does the original network training, thus increasing the potential for broader use of deep learning-based brain PET spatial normalization techniques for various clinical and research radiotracers.

Prevalence of Helminth Infections in Patients with Celiac Disease

Introduction: The aim of this study was to investigate the association between helminth infections and celiac disease (CeD), examining various demographic and clinical factors in CeD cases compared to controls. Methods: We conducted a retrospective case-control study utilizing Leumit Health Care Services’ electronic health records. The study encompassed individuals with CeD and a matched control group. We analyzed demographic and clinical characteristics, examining their association with helminth infections. Results: We observed CeD cases and controls had similar mean ages (17.8 years vs. 18.0 years, p = 0.565) and gender distributions (64.0% females in both groups, p = 0.999). There were no significant differences in socioeconomic status and ethnic distribution between the two groups. Most of the helminthiases in the CeD group were due to intestinal helminthiases, and most of the intestinal helminthiases were nematode (roundworm) infections. Enterobiasis (the pinworm Enterobius vermicularis) is involved in most cases (odds ratio 1.32, 95% confidence interval 1.20–1.45, p < 0.001). While the prevalence of ascariasis and anisakiasis was also higher in the CeD group, these differences were not statistically significant (p = 0.115 and p = 0.174, respectively). No significant differences were found in the prevalence of other specific helminth infections, such as echinococcosis, cestode infections, and strongyloidiasis. Conclusions: This study reveals an unexpected association between CeD and helminth infections, challenging prevailing hypotheses, particularly within the context of the hygiene hypothesis. These findings warrant further investigation to elucidate the mechanisms underlying this intriguing relationship.

Exploring ethnicity dynamics in Wales: a longitudinal population-scale linked data study and development of a harmonised ethnicity spine

ObjectiveThis study aims to create a national ethnicity spine based on all available ethnicity records in linkable anonymised electronic health record and administrative data sources.DesignA longitudinal study using anonymised individual-level...

Analysis of Thalassemia Gene Mutation Types and Ethnic Distribution Characteristics in Hechi Area, Guangxi

To investigate the genotype, mutation type, and ethnic distribution characteristics of thalassemia in the population of Hechi area, Guangxi, and to provide a reference basis for prevention and control of thalassemia and eugenic counseling in the region. Gap-polymerase chain reaction (gap-PCR) and reverse dot blot (RDB) were used for genetic testing on suspected thalassemia persons, and the results were analyzed. Among 29 136 samples, a total of 17 016 (58.40%) positive samples for thalassemia genes were detected, with a higher detection rate in males than in females (χ2=49.917，P < 0.001). The detection rates of thalassemia genes were significant different among Zhuang, Han, Yao, Mulao, and Maonan ethnic groups (χ2=546.121, P < 0.001). The α-thalassemia genotypes were mainly --SEA /αα (16.67%), -α3.7/αα (8.90%), α CSα/αα (6.00%). Additionally, four rare genotypes were detected, including -- THAI/αα (47 cases), HKαα/αα (2 cases), --SEA /-α 21.9 (2 cases), and -- THAI/αCSα (1 case). The β-thalassemia genotypes were mainly β CD17/βN (7.49%), βCD41-42/βN (6.70%), βCD71-72/βN (0.44%). 108 cases of moderate and severe β-thalassemia were detected, of which 81 cases had a history of blood transfusion, the transfusion frequency of 60 cases was more than 10 times/year, and 10 cases received bone marrow transplantation. Thalassemia in Hechi area is predominantly deletion type --SEA /αα, the detection rate of thalassemia in ethnic minorities is higher than that in Han population. In this area, moderate and severe β-thalassemia have certain incidence, these patients mostly need regular blood transfusion and iron removal treatment, and very few patients have received bone marrow transplantation. This study provides a certain reference basis for prevention and control of thalassemia and eugenic counseling in the region.

The Demographic Profile of The Population in Small, Medium and Large-Sized Cities in Romania

The present study analyzes the demographic profile of the population by categories of urban localities, categories established according to the number of inhabitants, respectively very small, small, medium and large-sized cities. The main conclusions from this study would be that approximately 40% of the Romanian population lives in medium and large cities, the average age of the population in very small and small towns is lower than that in larger cities, the share of the population whose domicile coincides with residence is higher in smaller cities compared to larger ones, and the distribution of the main ethnicities highlights a slightly asymmetric territorial distribution within the Hungarian ethnic group (there are localities with very high percentages of this ethnic group) and a symmetrical distribution for the Romany ethnic group.

Exome sequencing revealed variants in SGCA and SIL1 genes underlying limb girdle muscular dystrophy and Marinesco-Sjögren syndrome patients.

Inherited neuromuscular (NMD) and neurodegenerative diseases (NDD) belong to two distinct categories that disturb different components of the nervous system, leading to a variety of different symptoms and clinical manifestations. Both NMD and NDD are a heterogeneous group of genetic conditions. Genetic variations in the SGCA and SIL1 genes have been implicated in causing Limb Girdle Muscular Dystrophy (LGMD), a type of neuromuscular disorder, and Marinesco-Sjögren Syndrome (MSS) which is a neurodegenerative disorder. In the present study, we have investigated four patients presenting LGMD and five patients with MSS features. After collecting detailed clinical and family history, necessary laboratory investigations, including estimation of a skeletal muscle marker enzyme serum creatine kinase (CK), nerve conduction study (NCS), electromyography (EMG), echocardiography (Echo), Magnetic resonance imaging (MRI -brain), CT-brain and X-rays were performed. Whole exome followed by Sanger sequencing was employed to search for the disease-causing variants. Physical examination in LGMD patients revealed poor muscle tone and facing difficulty in straightening up from the floor. Clinical history revealed frequent falls and strenuousness in climbing stairs. They started toe-walking in early childhood. Laboratory investigations confirmed elevated CK levels and abnormal NCS and EMG. The MSS patients showed abnormalities in gate and jerking movement, abnormal speech, and strabismus with cataract. MRI-brain showed cerebral atrophy in some MSS patients with elevated CK levels. Whole exome sequencing revealed a nonsense variant [c.C574T, p.(Arg192*)] in the SGCA gene and a frameshift [c.936dupG, p.(Leu313AlaFs*39)] in the SIL1 gene in LGMD and MSS patients, respectively. Our study emphasizes the significance of integrating clinical and genetic analyses for precise diagnosis and tailored management strategies in inherited NMD and NDD disorders. To the best of our knowledge, this is the first study documenting SGCA and SIL1 recurrent variants in subcontinent populations with few rare clinical features. The recurrent mutations expanding the global understanding of the mutation's geographic and ethnic distribution and contributing valuable epidemiological data. The study will facilitate genetic counseling for families experiencing similar clinical features, both within Pakistani populations and in other regions.

Decomposition analysis to assess intervention strategies for reducing health-related exposure disparities in Michigan public drinking water systems

ObjectiveContamination in U.S. public drinking water systems (PWS) is estimated to cause millions of illnesses and billions of dollars in medical expenditures annually. Few prior studies have explored intervention strategies, including environmental enforcement, to reduce estimated health-related exposure disparities (exposure disparity) in PWS, which are driven partially by socioeconomic status (SES), racism, and PWS characteristics. MethodThis study used a longitudinal measurement method to estimate the annual health-related exposure level (health level) of each PWS in Michigan, based on data from the Enforcement and Compliance Online (ECHO) and U.S. Census Bureau databases. Using a decomposition model with four strategies, we analyzed how eliminating disparities in SES, proportion minority, environmental enforcement, and PWS characteristics across communities would affect adjusted exposure disparities. ResultsThis study found that adjusted race- and poverty-based exposure disparities have existed since the 1980s but might have decreased in the last one or two decades. PWS characteristics strongly impacted the crude and adjusted exposure disparity. Environmental enforcement, although less effective in minority-concentrated communities, reduced the adjusted race-based exposure disparity by 10%–20% in the 1980s, 8% in the 1990s, and 0.012% in the 2010s. Equalizing the poverty rate distribution reduced the adjusted race-based exposure disparity by 0.72% in the 1980s and 6.8% in the 2010s. However, equalizing racial and ethnic composition distribution increased the adjusted poverty-based exposure disparity in the 2000s. ConclusionThese findings indicate that economically disadvantaged or minority-concentrated communities in Michigan disproportionately suffer from poorer PWS quality. Enhanced environmental enforcement, increased household income, PWS investment, and other actions are needed to address these exposure disparities effectively.

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.

Consistency, completeness and external validity of ethnicity recording in NHS primary care records: a cohort study in 25 million patients’ records at source using OpenSAFELY

BackgroundEthnicity is known to be an important correlate of health outcomes, particularly during the COVID-19 pandemic, where some ethnic groups were shown to be at higher risk of infection and adverse outcomes. The recording of patients’ ethnic groups in primary care can support research and efforts to achieve equity in service provision and outcomes; however, the coding of ethnicity is known to present complex challenges. We therefore set out to describe ethnicity coding in detail with a view to supporting the use of this data in a wide range of settings, as part of wider efforts to robustly describe and define methods of using administrative data.MethodsWe describe the completeness and consistency of primary care ethnicity recording in the OpenSAFELY-TPP database, containing linked primary care and hospital records in > 25 million patients in England. We also compared the ethnic breakdown in OpenSAFELY-TPP with that of the 2021 UK census.Results78.2% of patients registered in OpenSAFELY-TPP on 1 January 2022 had their ethnicity recorded in primary care records, rising to 92.5% when supplemented with hospital data. The completeness of ethnicity recording was higher for women than for men. The rate of primary care ethnicity recording ranged from 77% in the South East of England to 82.2% in the West Midlands. Ethnicity recording rates were higher in patients with chronic or other serious health conditions. For each of the five broad ethnicity groups, primary care recorded ethnicity was within 2.9 percentage points of the population rate as recorded in the 2021 Census for England as a whole. For patients with multiple ethnicity records, 98.7% of the latest recorded ethnicities matched the most frequently coded ethnicity. Patients whose latest recorded ethnicity was categorised as Other were most likely to have a discordant ethnicity recording (32.2%).ConclusionsPrimary care ethnicity data in OpenSAFELY is present for over three quarters of all patients, and combined with data from other sources can achieve a high level of completeness. The overall distribution of ethnicities across all English OpenSAFELY-TPP practices was similar to the 2021 Census, with some regional variation. This report identifies the best available codelist for use in OpenSAFELY and similar electronic health record data.

Analysis of Related Factors Influencing Hypertension Classification among Centenarians in Hainan, China.

As a population ages, blood pressure levels gradually increase, leading to a higher incidence of hypertension and increased cardiovascular diseases risk. This study examines factors affecting hypertension grading among centenarians in the Hainan Province. Data from 2014 to 2016 were accessed from the cross-sectional database "Hypertension Levels and Epidemiological Characteristics of the Elderly and Centenarians in Hainan province of China". This study included 690 centenarians with hypertension. Hypertension grading was the dependent variable, analyzed against independent variables including demographic information (sex, age, ethnicity, education level, marital status, cohabitation, and regional distribution), lifestyle factors (smoking, alcohol consumption, and physical activity), body mass index (BMI), and comorbid conditions (diabetes and hyperlipidemia). Logistic regression models, adjusted for these factors, were used to assess the determinants of hypertension grading among the participants. Multivariate regression analysis, after adjusting for other variables, revealed significant associations between BMI, low-density lipoprotein (LDL) levels, and hypertension grades. Individuals with BMI below 18.5 had a 0.614-fold lower risk of developing grade III hypertension (odds ratio [OR]: 0.614, 95% confidence interval [CI]: 0.390-0.966, p = 0.0350) and a 0.586-fold lower risk for grade II hypertension (OR: 0.586, 95% CI: 0.402-0.852, p = 0.0052). Furthermore, individuals with elevated LDL levels had a 6.087-fold greater risk of progressing from grade I to grade III hypertension (OR: 6.087, 95% CI: 1.635-22.660, p = 0.0071) and a 4.356-fold greater risk of progressing from grade II to grade III hypertension (OR: 4.356, 95% CI: 1.052-18.033, p = 0.0423). Additionally, individuals of Li ethnicity had 1.823-fold greater risk of progressing from grade I to grade II hypertension compared to those of Han ethnicity (OR: 1.823, 95% CI: 1.033-3.218, p = 0.0383). A BMI below 18.5 , elevated LDL, and ethnicity emerged the primary factors associated with hypertension grading in centenarians. To reduce the risk of hypertension, it is crucial for centenarians to maintain a healthy weight, normal LDL levels, and adopt dietary habits including a low-cholesterol and low-fat diet.

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.

High prevalence of exon-13 variants in USH2A-related retinal dystrophies in Taiwanese population

BackgroundBiallelic pathogenic variants in USH2A lead to Usher syndrome or non-syndromic retinitis pigmentosa, and shown to have geographical and ethnical distribution in previous studies. This study provided a deeper understanding of the detailed clinical features using multimodal imaging, genetic spectrum, and genotype–phenotype correlations of USH2A-related retinal dystrophies in Taiwan.ResultsIn our cohort, the mean age at first visit was 47.66 ± 13.54 years, and the mean age at symptom onset, which was referred to the onset of nyctalopia and/or visual field constriction, was 31.21 ± 15.24 years. Among the variants identified, 23 (50%) were missense, 10 (22%) were splicing variants, 8 (17%) were nonsense, and 5 (11%) were frameshift mutations. The most predominant variant was c.2802T>G, which accounted for 21% of patients, and was located in exon 13. Patients with truncated alleles had significantly earlier symptom onset and seemly poorer disease progression regarding visual acuity, ellipsoid zone line length, and hypofluorescent lesions in the macula than those who had the complete gene. However, the clinical presentation revealed similar progression between patients with and without the c.2802T>G variant. During long-term follow-up, the patients had different ellipsoid zone line progression rates and were almost evenly distributed in the fast, moderate, and slow progression subgroups. Although a younger onset age and a smaller baseline intact macular area was observed in the fast progression subgroup, the results showed no significant difference.ConclusionsThis is the first cohort study to provide detailed genetic and longitudinal clinical analyses of patients with USH2A-related retinal dystrophies in Taiwan. The mutated allele frequency in exon 13 was high in Taiwan due to the predominant c.2802T>G variant. Moreover, truncated variants greatly impacted disease progression and determined the length of therapeutic windows. These findings provide insight into the characteristics of candidates for future gene therapies.

Characterization of skin tumors in an Egyptian large tertiary center

Skin tumors are a global health problem caused by UV exposure with ethnic and geographical distribution. This research summarized Egyptian skin tumor features. A cross-sectional study was conducted in the Al-Hussein Teaching Hospital, Al-Azhar University, Cairo, Egypt. Patients’ data were collected from the hospital-recorded registry from January 2010 to December 2020. Results: The age group, 19-59y, showed the highest prevalence, 57% (n=940), of skin tumors. The total number of skin tumor patients was 1649 (males 52.9% (n=872), females 47.1% (n=777). For benign skin tumors, the male-to-female ratio was 1: 0.96, and for malignant skin tumors, the male-to-female ratio was 1: 1.47. The frequency of skin tumors at the sun-exposed site (out of the total n= 1770) was 39.4% (n= 697) and the face showed the highest frequency 25.8% (n=457). The frequency of skin tumors at the non-sun-exposed sites was 60.6% (n=1073) of the total skin tumor number. Basal cell carcinoma (BCC) showed a frequency of 90.1% of cases affecting sun-exposed sites. Therefore, skin tumors have unique characteristics in Egypt, with malignant skin tumors being rare showing more predilection in males. Further studies are needed to emphasize the national characteristics of skin tumors in Egypt.

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.