Comparative Analysis of Driver Mutations and Transcriptomes in Papillary Thyroid Cancer by Region of Residence in South Korea.

BACKGRUOUND: Radiation exposure is a well-known risk factor for papillary thyroid cancer (PTC). South Korea has 24 nuclear reactors in operation; however, no molecular biological analysis has been performed on patients with PTC living near nuclear power plants. METHODS: We retrospectively included patients with PTC (n=512) divided into three groups according to their place of residence at the time of operation: inland areas (n=300), coastal areas far from nuclear power plants (n=134), and nuclear power plant areas (n=78). After propensity score matching (1:1:1) by age, sex, and surgical procedure, the frequency of representative driver mutations and gene expression profiles were compared (n=50 per group). Epithelial-mesenchymal transition (EMT), BRAF, thyroid differentiation, and radiation scores were calculated and compared. RESULTS: No significant difference was observed in clinicopathological characteristics, including radiation exposure history and the frequency of incidentally discovered thyroid cancer, among the three groups. BRAFV600E mutation was most frequently detected in the groups, with no difference among the three groups. Furthermore, gene expression profiles showed no statistically significant difference. EMT and BRAF scores were higher in our cohort than in cohorts from Chernobyl tissue bank and The Cancer Genome Atlas Thyroid Cancer; however, there was no difference according to the place of residence. Radiation scores were highest in the Chernobyl tissue bank but exhibited no difference according to the place of residence. CONCLUSION: Differences in clinicopathological characteristics, frequency of representative driver mutations, and gene expression profiles were not observed according to patients' region of residence in South Korea.

A search-based geographic metadata curation pipeline to refine sequencing institution information and support public health.

Background: The National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) has amassed a vast reservoir of genetic data since its inception in 2007. These public data hold immense potential for supporting pathogen surveillance and control. However, the lack of standardized metadata and inconsistent submission practices in SRA may impede the data's utility in public health. Methods: To address this issue, we introduce the Search-based Geographic Metadata Curation (SGMC) pipeline. SGMC utilized Python and web scraping to extract geographic data of sequencing institutions from NCBI SRA in the Cloud and its website. It then harnessed ChatGPT to refine the sequencing institution and location assignments. To illustrate the pipeline's utility, we examined the geographic distribution of the sequencing institutions and their countries relevant to polio eradication and categorized them. Results: SGMC successfully identified 7,649 sequencing institutions and their global locations from a random selection of 2,321,044 SRA accessions. These institutions were distributed across 97 countries, with strong representation in the United States, the United Kingdom and China. However, there was a lack of data from African, Central Asian, and Central American countries, indicating potential disparities in sequencing capabilities. Comparison with manually curated data for U.S. institutions reveals SGMC's accuracy rates of 94.8% for institutions, 93.1% for countries, and 74.5% for geographic coordinates. Conclusion: SGMC may represent a novel approach using a generative AI model to enhance geographic data (country and institution assignments) for large numbers of samples within SRA datasets. This information can be utilized to bolster public health endeavors.

Trends in Up-To-Date Colorectal Cancer Screening Among U.S. Adults Aged 50-75 Years and Variations by Race/Ethnicity and U.S. Census Bureau Divisions.

Introduction: Mortality rates from colorectal cancer have declined over the past decades owing to population-based life-saving screening interventions. However, screening inequalities continue among racial and ethnic minorities despite having a higher disease burden. In this study, we assessed the patterns of up-to-date colorectal cancer screening rates among racial/ethnic groups across the U.S. Census Bureau Divisions. Methods: This population-based cross-sectional study used weighted data from 4 cycles of the Behavioral Risk Factors Surveillance System (2014, 2016, 2018, and 2020) of adults aged 50‒75 years without a previous diagnosis of colorectal cancer. The primary outcome was guideline-recommended up-to-date colorectal cancer screening. We used logistic regression models to examine temporal trends in up-to-date colorectal cancer screening from 2014 to 2020. In addition, we conducted detailed descriptive statistics of up-to-date screening rates, comparing trends in 2020 with those in 2014 overall by race/ethnicity and U.S. census divisions. Results: The overall proportion of individuals with up-to-date colorectal cancer screening increased from 66.5% in 2014 to 72.5% in 2020 (p<0.001). For racial/ethnic subgroups, from 2014 to 2020, screening rates increased significantly among non-Hispanic Whites (68.5%‒74.5%, p<0.001), non-Hispanic Blacks (68.0%‒74.6%, p<0.001), and Hispanics (51.5%‒62.8%, p<0.001). However, increases were not observed in all U.S. Census Bureau Divisions. Conclusions: Although colorectal cancer screening rates improved over time, they fall short of the 80% target. Substantial racial/ethnic and geographic disparities remain. Future studies investigating the factors influencing these disparities are needed.

Geographic Disparities in Case Fatality and Discharge Disposition Among Patients With Primary Intracerebral Hemorrhage.

Background We evaluate nationwide trends and urban-rural disparities in case fatality (in-hospital mortality) and discharge dispositions among patients with primary intracerebral hemorrhage (ICH). Methods and Results In this repeated cross-sectional study, we identified adult patients (≥18 years of age) with primary ICH from the National Inpatient Sample (2004-2018). Using a series of survey design Poisson regression models, with hospital location-time interaction, we report the adjusted risk ratio (aRR), 95% CI, and average marginal effect (AME) for factors associated with ICH case fatality and discharge dispositions. We performed a stratified analysis of each model among patients with extreme loss of function and minor to major loss of function. We identified 908 557 primary ICH hospitalizations (overall mean age [SD], 69.0 [15.0] years; 445 301 [49.0%] women; 49 884 [5.5%] rural ICH hospitalizations). The crude ICH case fatality rate was 25.3% (urban hospitals: 24.9%, rural hospitals:32.5%). Urban (versus rural) hospital patients had a lower likelihood of ICH case fatality (aRR, 0.86 [95% CI, 0.83-0.89]). ICH case fatality is declining over time; however, it is declining faster in urban hospitals (AME, -0.049 [95% CI, -0.051 to -0.047]) compared with rural hospitals (AME, -0.034 [95% CI, -0.040 to -0.027]). Conversely, home discharge is increasing significantly among urban hospitals (AME, 0.011 [95% CI, 0.008-0.014]) but not significantly changing in rural hospitals (AME, -0.001 [95% CI, -0.010 to 0.007]). Among patients with extreme loss of function, hospital location was not significantly associated with ICH case fatality or home discharge. Conclusions Improving access to neurocritical care resources, particularly in resource-limited communities, may reduce the ICH outcomes disparity gap.

Red clover root-associated microbiota is shaped by geographic location and choice of farming system.

AIMS: This study evaluated the red clover (Trifolium pratense) root-associated microbiota to clarify the presence of pathogenic and beneficial microorganisms in 89 Swedish field sites. METHODS AND RESULTS: 16S rRNA and ITS amplicon sequencing analysis were performed on DNA extracted from the red clover root samples collected to determine the composition of the prokaryotic and eukaryotic root-associated microbe communities. Alpha and beta diversities were calculated and relative abundance of various microbial taxa and their co-occurrence were analyzed. Rhizobium was the most prevalent bacterial genus, followed by Sphingomonas, Mucilaginibacter, Flavobacterium, and the unclassified Chloroflexi group KD4-96. The Leptodontidium, Cladosporium, Clonostachys, and Tetracladium fungal genera known for endophytic, saprotrophic, and mycoparasitic lifestyles were also frequently observed in all samples. Sixty-two potential pathogenic fungi were identified with a bias toward grass pathogens and a higher abundance in samples from conventional farms. CONCLUSIONS: We showed that the microbial community was mainly shaped by geographic location and management procedures. Co-occurrence networks revealed that the Rhizobiumleguminosarum bv. trifolii was negatively associated with all fungal pathogenic taxa recognized in this study.

Sistema de Monitoreo a la equidad territorial y avances en los Objetivos de Desarrollo Sostenible en Colombia

Aunque el cumplimiento de los Objetivos de Desarrollo del Milenio tuvo un balance positivo, con promedios nacionales que en general mejoraron, las desigualdades dentro de los países aumentaron. La agenda de los Objetivos de Desarrollo Sostenible (ODS) busca promover avances en términos de equidad territorial, por esto la incorporación del espacio geográfico en su monitoreo a escalas subnacionales ofrece ventajas importantes. Este artículo tuvo como objetivo describir el Sistema de Monitoreo Territorial a los ODS3 (MOT-ODS3), una herramienta digital diseñada para incrementar la disponibilidad de información a nivel municipal sobre las desigualdades e inequidades territoriales relacionadas con la salud y el bienestar en Colombia. Para demostrar su funcionalidad se describen los componentes del Sistema, indicadores, mapas, gráficos y métricas de desigualdad utilizados, así como también los perfiles de país y departamento, diseñados para reportar los resultados del monitoreo. Como ejemplo práctico de la utilización del Sistema se analizan los indicadores de Colombia entre 2015 y 2017. Según el monitoreo, Colombia mostró mejoras en la salud y el bienestar de la población; sin embargo, se apreciaron diferencias notables intermunicipales en casi todos los indicadores y brechas territoriales en la mortalidad entre municipios ricos y pobres y entre la zona rural y la urbana. Puede decirse que el MOT-ODS3 incrementó la disponibilidad de información para estimular y apoyar el avance del país hacia el logro de los Objetivos de Desarrollo Sostenible.

Although compliance with the Millennium Development Goals had a positive balance, with national averages that generally improved, inequalities within countries increased. The Sustainable Development Goals (SDGs) agenda seeks to promote progress in terms of territorial equity, which is why the incorporation of geographic space in its monitoring at subnational scales offers important advantages. This article aimed to describe the Territorial Monitoring System for the SDGs3 (MOT-ODS3), a digital tool designed to increase the availability of information at the municipal level on territorial inequalities and inequities related to health and well-being in Colombia. To demonstrate its functionality, the components of the System, indicators, maps, graphs and inequality metrics used are described, as well as the country and departmental profiles designed to report monitoring results. As a practical example of the use of the System, the indicators for Colombia between 2015 and 2017 are analyzed. According to the monitoring, Colombia showed improvements in the health and well-being of the population; however, notable inter-municipal differences were seen in almost all indicators and territorial gaps in mortality between rich and poor municipalities and between rural and urban areas. It can be said that the MOT-ODS3 increased the availability of information to stimulate and support the country's progress towards the achievement of the Sustainable Development Goals.

Prevalence and risk factors of diabetic kidney disease in plain-sand areasand loess hilly areas of Gansu province / 中华全科医师杂志

Objective:To investigate the risk factors of diabetic kidney disease (DKD) in type 2 diabetes mellitus (T2DM) patients in plain-sand areas and loess hilly areas of Gansu province.Methods:A total of 1 599 T2DM patients who participated in chronic disease and risk factors monitoring and basic public health service management were selected by multi-stage stratified random sampling method in the sandy plain areas and loess hilly areas of Gansu province. Questionnaire survey, physical measurement and laboratory tests were performed. Multivariate binary logistic model was used to analyze the influencing factors.Results:The prevalence of DKD was 22.1% (174/787) among T2DM patients in the sandy plain areas and 19.1%(155/812) in the loess hilly area, respectively. Hypertension ( OR=3.022), hyperuricemia ( OR=2.114) and HbA1c≥7%( OR=2.231) were the risk factors for DKD in the plain-sand areas, and the risk of DKD increased with age. In the loess hilly areas, female sex ( OR=0.379) was the protective factor for DKD; while duration of disease≥10 years ( OR=2.476), hyperuricemia ( OR=1.907), HbA1c≥7% ( OR=1.927) were the risk factors for DKD; and the risk of DKD increased with the increase of age, and decreased with the increase of per capita monthly income. Conclusions:The prevalence of DKD and its influencing factors are different between sandy plain areas and loess hilly areas in Gansu province. The prevention and treatment of hypertension should be given more attention in sandy plain areas. In addition, the screening of DKD should be conducted among T2DM patients, particularly for those with old age, hyperuricemia and HbA1c≥7% in both areas of the province.

The influence of species identity and geographic locations on gut microbiota of small rodents.

Although the correlation between gut microbiota, species identity and geographic locations has long attracted the interest of scientists, to what extent species identity and geographic locations influence the gut microbiota assemblages in granivorous rodents needs further investigation. In this study, we performed a survey of gut microbial communities of four rodent species (Apodemus agrarius, A. peninsulae, Tamias sibiricus and Clethrionomys rufocanus) distributed in two areas with great distance (> 600 km apart), to assess if species identity dominates over geographic locations in shaping gut microbial profiles using 16S rRNA gene sequencing. We found that gut microbiota composition varied significantly across host species and was closely correlated with host genetics. We identified strong species identity effects on gut microbial composition, with a comparatively weaker signal of geographic provenance on the intestinal microbiota. Specifically, microbiota of one species was on average more similar to that of conspecifics living in separate sites than to members of a closely related species living in the same location. Our study suggests that both host genetics and geographical variations influence gut microbial diversity of four rodent species, which merits further investigation to reveal the patterns of phylogenetic correlation of gut microbial community assembly in mammals across multiple habitats.

Quality of life of cutaneous leishmaniasis suspected patients in the Ecuadorian Pacific and Amazon regions: a cross sectional study.

BACKGROUND: Yearly, up to 1 million patients worldwide suffer from cutaneous leishmaniasis (CL). In Ecuador, CL affects an estimated 5000 patients annually. CL leads to reduced Health Related Quality of Life (HRQL) as a result of stigma in the Asian and Mediterranean contexts, but research is lacking for Ecuador. The objective of this study was to explore the influence of CL suspected lesions on the quality of life of patients in the Pacific and Amazon regions. METHODS: Patients for this study were included in the Amazonian Napo, Pastaza, and Morona Santiago provinces and the Pacific region of the Pichincha province. Participating centers offered free of charge CL treatment. All patients suspected of CL and referred for a cutaneous smear slide microscopy examination were eligible. This study applied the Skindex-29 questionnaire, a generic tool to measure HRQL in patients with skin diseases. All statistical analysis was done with SPSS Statistics version 28. RESULTS: The skindex-29 questionnaire was completed adequately by 279 patients who were included in this study. All patient groups from the Amazon scored significantly (P < 0.01) higher (indicating worse HRQL) on all the dimensions of the Skindex-29 questionnaire than Mestizo patients from the Pacific region. The percentage of patients with health seeking delay of less than a month was significantly (P < 0.01) lower in the Amazon region (38%) than in the Pacific (66%). CONCLUSIONS: The present study revealed that the influence of suspected CL lesions on the HRQL of patients in the Ecuadorian Amazon and Pacific depends on the geographic region more than on patient characteristics such as gender, age, number of lesions, lesion type, location of lesions, health seeking delay, or posterior confirmation of the Leishmania parasite. The health seeking delay in the Amazon might result from a lack of health infrastructure or related stigma. Together, the impaired HRQL and prolonged health seeking delay in the Amazon lead to prolonged suffering and a worse health outcome. Determinants of health seeking delay should be clarified in future studies and CL case finding must be improved. Moreover, HRQL analysis in other CL endemic regions could improve local health management.

National geographical pattern of COVID-19 hospitalization, case fatalities, and associated factors in patients covered by Iran Health Insurance Organization.

BACKGROUND: Understanding the Spatio-temporal distribution and interpersonal comparisons are important tools in etiological studies. This study was conducted to investigate the temporal and geographical distribution of COVID-19 hospitalized patients in the Iran Health Insurance Organization (IHIO) insured population (the second largest social health insurance organization) and the factors affecting their case fatality rate (CFR). METHODS: In this descriptive-analytical cross-sectional study, the demographic and clinical data of all insured of the IHIO who were hospitalized with COVID-19 in hospitals across the country until March 2021 was extracted from the comprehensive system of handling the inpatient documents of this organization. The Excel 2019 and GeoDA software were used for descriptive reporting and geographical distribution of variables. A multiple logistic regression model was used to estimate the Odds Ratio (OR) of death in patients with COVID-19 using STATA 14 software. RESULTS: During the first 14 months of the COVID-19 outbreak in Iran, 0.72% of the IHIO insured (303,887 individuals) were hospitalized with COVID-19. Hospitalization per 100,000 people varied from 192.51 in East Azerbaijan to 1,277.49 in Yazd province. The overall CFR in hospitalized patients was 14%. Tehran and Kohgiluyeh & BoyerAhmad provinces had the highest and lowest CFR with 19.39% and 5.19%, respectively. The highest odds of death were in those over 80 years old people (OR = 9.65), ICU-admitted (OR = 7.49), Hospitalized in governmental hospitals (OR = 2.08), Being a foreign national (OR = 1.45), hospitalized in November (OR = 1.47) and Residence in provinces such as Sistan & Baluchestan (OR = 1.47) and Razavi Khorasan (OR = 1.66) respectively. Furthermore, the odds of death were lower in females (OR = 0.81) than in males. CONCLUSIONS: A sound understanding of the primary causes of COVID-19 death and severity in different groups can be the basis for developing programs focused on more vulnerable groups in order to manage the crisis more effectively and benefit from resources more efficiently.

Variation in Out-of-Hospital Cardiac Arrest Survival Across Emergency Medical Service Agencies.

BACKGROUND: Although studies have reported variation in out-of-hospital cardiac arrest (OHCA) survival by geographic location, little is known about variation in OHCA survival at the level of emergency medical service (EMS) agencies-which may have modifiable practices, unlike counties and regions. We quantified the variation in OHCA survival across EMS agencies and explored whether variation in 2 specific EMS resuscitation practices were associated with survival to hospital admission. METHODS: Within the Cardiac Arrest Registry to Enhance Survival, a prospective registry representing ≈51% of the US population, we identified 258 342 OHCAs from 764 EMS agencies with >10 OHCA cases annually during 2015 to 2019. Using hierarchical logistic regression, risk-standardized rates of survival to hospital admission were computed for each EMS agency. We quantified inter-agency variation in survival with median odds ratios and assessed the association of 2 resuscitation practices (EMS response time and the proportion of OHCAs with termination of resuscitation without meeting futility criteria) with EMS agency survival rates to hospital admission. RESULTS: Across 764 EMS agencies comprising 258 342 OHCAs, the median risk-standardized rate of survival to hospital admission was 27.3% (interquartile range, 24.5%-30.1%; range: 16.0%-45.6%). The adjusted median odds ratio was 1.35 (95% CI, 1.32-1.39), denoting that the odds of survival of 2 patients with identical covariates varied by 35% at 2 randomly selected EMS agencies. EMS agencies in the lowest quartile of risk-standardized survival had longer EMS response times when compared with the highest quartile (12.0±3.4 versus 9.0±2.6 minutes; P<0.001), and a higher proportion of OHCAs with termination of resuscitation without meeting futility criteria (27.9±16.1% versus 18.9±11.4%; P<0.001). CONCLUSIONS: Survival after OHCA varies widely across EMS agencies. EMS response times and termination of resuscitation practices were associated with agency-level rates of survival to hospital admission, suggesting potentially modifiable practices which can improve OHCA survival.

Visual inspection of root patterns and radiographic estimation of its canal configurations by confirmation using sectioning method. An ex vivo study on maxillary first premolar teeth.

BACKGROUND: A thorough understanding of the original root and canal anatomy is a critical technical prerequisite for performing cleaning and shaping treatments. Therefore, this research aimed to characterize maxillary first premolar teeth' root morphology and canal architecture. METHODS: One hundred forty-two extracted human adult maxillary first premolar teeth have been retrieved. The extracted teeth were thoroughly cleaned and irrigated to eliminate any remaining debris or blood. They were then preserved in formalin solution until they were eligible for screening. To begin, a visual examination was employed to ascertain the number of roots and their geometry in each sample. Then, utilizing digital radiography in two plains, mesiodistal and distomesial, to further determine those parameters. Finally, a sectioning technique had been used to have the samples cut mesiodistally into slices to validate the internal root canal architecture and identify the number of root canals and their varieties in accordance with Vertucci's categorization system. The canal layout, the pulp chamber, and the root canals were all highlighted (marked) using a fine tip marker in a permanent orange hue to make the canal features more accessible and accurate to visualize. All of the processes were conducted by two highly qualified dentists. The sample size was estimated statistically using the Sealed Envelope program, and the percentage of each configuration was derived in proportion to the overall sample size in order to establish the percentage of each type in each configuration. RESULTS: From the 142 teeth examined, 42 (29.57%) had one root, 97 (68.31%) had two roots, and only three premolars (2.12%) had three roots. Concerning canal configurations, 100 teeth (70.43%) had type (IV) canal configuration, followed by 37 teeth (26.05%) had types (V), three teeth (2.12%) had type (VIII), and one tooth (0.70%) for each of type (I) and type (II). CONCLUSIONS: The anatomical pattern of inspected maxillary first premolars are mainly two rooted and predominantly have a type (IV) canal morphology.

Chemical and biological studies of Daphniphyllum oldhamii from Hunan Province, China.

The fruits, twigs and leaves of Daphniphyllum oldhamii (Hemsl.) K. Rosenthal, collected from Longshan County, Hunan Province, China, were chemically investigated. Three undescribed daphniphyllum alkaloids, namely longshanoldhamines A‒C, and six known related ones have been isolated from the fruits, whereas two undescribed triterpenoids and one undescribed lignan, along with six known triterpenoids, were found in the twigs and leaves. Their structures were elucidated by extensive spectroscopic analysis, X-ray diffraction analysis and comparison with the reported data.

Riesgo y distribución geográfica de neurocisticercosis en Chile según egresos hospitalarios (2002-2019) / Epidemiology of cysticercosis in Chile

BACKGROUND: Neurocysticercosis is the most prevalent parasitic disease of the central nervous system in Chile, where sporadic cases are reported, without information about the epidemiology or distribution of the disease. AIM: To identify the main risk zones for cysticercosis in Chile. MATERIAL AND METHODS: Analysis of hospital discharge databases between 2002 and 2019, available at the website of the Chilean Ministry of Health. Cases with B69 code of the tenth international classification of diseases were identified. RESULTS: In the study period, there were 1752 discharges with the diagnoses of neurocysticercosis, ocular cysticercosis and cysticercosis of other sites. The ages of patients ranged from 0 to 89 years with a clustering between 30 and 59 years. Sixty two percent were males. The zone between the regions of Maule and Araucania concentrated 82% of cases. CONCLUSIONS: We identified the zone with the greatest concentration of cysticercosis in Chile, where preventive strategies should eventually be directed.

Country-level determinants of COVID-19 case rates and death rates: An ecological study.

The Coronavirus Disease 2019 (COVID-19) pandemic has had a variable worldwide impact, likely related to country-level characteristics. In this ecological study, we explored the association of COVID-19 case rates (per 100,000 people) and death rates (per 100,000 people) with country-level population health characteristics, economic and human development indicators, and habitat-related variables. To calculate country-level COVID-19 case and death rates, the number of cases and deaths were extracted from the Johns Hopkins Coronavirus Resource Center through September 30, 2021. Country-level population health characteristics, economic, human development, and habitat-related indicators were extracted from several publicly available online sources of international organizations. Results were tabulated according to world zones and country economies. Unadjusted and adjusted multiple imputation linear regression analyses were performed to examine the association between country-level variables (per 1-standard deviation [SD] increase) and COVID-19 case and death rates. To satisfy the linear regression model assumptions of normality of residuals, we used the square root transformation of both outcomes. A total of 187 countries and territories were analyzed, with a median (25th, 75th percentiles) aggregate COVID-19 case rate of 3,605 (463, 8,228) per 100,000, a COVID-19 death rate of 45.9 (8.9, 137.1) per 100,000, and a case-fatality rate of 1.6% (1.2%, 2.6%). On multivariable analyses, each country-level 1-SD higher percentage of adults with obesity (ß coefficient 13.7; 95% confidence interval [CI] 13.7; 8.9, 18.4), percentage of smokers (5.8; 95% CI 1.2, 10.5), percentage of adults with high blood pressure (4.9; 95% CI 0.3, 9.6), and gross national income (GNI) per capita (9.5; 95% CI 4.6, 14.5) was independently associated with higher square root of COVID-19 case rate, while average household size (-1.7; 95% CI -12.3, -3.2) was independently associated with lower square root of COVID-19 case rate. Similarly, each 1-SD higher percentage of adults with obesity (1.76; 95% CI 0.99, 2.52), percentage of adults with high blood pressure (1.11; 95% CI 0.48, 1.74), percentage of adults with physical inactivity (1.01; 95% CI 0.10, 1.191), and travel & tourism competitiveness index (1.05; 95% CI 0.06, 2.04) was independently associated with higher square root of COVID-19 death rate, whereas GNI per capita (-0.92; 95% CI -1.81, -0.03), and average household size (-1.07; 95% CI -1.87, -0.27) was independently associated with lower square root of COVID-19 death rate. This ecological study informs the need to develop country-specific public health interventions to better target populations at high risk for COVID-19, and test interventions to prevent transmission of SARS-CoV-2, taking into consideration cross-country differences in population health characteristics, and economic, human development and habitat-related factors.

Mortality inequalities measured by socioeconomic indicators in Brazil: a scoping review

ABSTRACT OBJECTIVE Summarize the literature on the relationship between composite socioeconomic indicators and mortality in different geographical areas of Brazil. METHODS This scoping review included articles published between January 1, 2000, and August 31, 2020, retrieved by means of a bibliographic search carried out in the Medline, Scopus, Web of Science, and Lilacs databases. Studies reporting on the association between composite socioeconomic indicators and all-cause, or specific cause of death in any age group in different geographical areas were selected. The review summarized the measures constructed, their associations with the outcomes, and potential study limitations. RESULTS Of the 77 full texts that met the inclusion criteria, the study reviewed 24. The area level of composite socioeconomic indicators analyzed comprised municipalities (n = 6), districts (n = 5), census tracts (n = 4), state (n = 2), country (n = 2), and other areas (n = 5). Six studies used composite socioeconomic indicators such as the Human Development Index, Gross Domestic Product, and the Gini Index; the remaining 18 papers created their own socioeconomic measures based on sociodemographic and health indicators. Socioeconomic status was inversely associated with higher rates of all-cause mortality, external cause mortality, suicide, homicide, fetal and infant mortality, respiratory and circulatory diseases, stroke, infectious and parasitic diseases, malnutrition, gastroenteritis, and oropharyngeal cancer. Higher mortality rates due to colorectal cancer, leukemia, a general group of neoplasms, traffic accident, and suicide, in turn, were observed in less deprived areas and/or those with more significant socioeconomic development. Underreporting of death and differences in mortality coverage in Brazilian areas were cited as the main limitation. CONCLUSIONS Studies analyzed mortality inequalities in different geographical areas by means of composite socioeconomic indicators, showing that the association directions vary according to the mortality outcome. But studies on all-cause mortality and at the census tract level remain scarce. The results may guide the development of new composite socioeconomic indicators for use in mortality inequality analysis.

Geographic and Regional Variability in Racial and Ethnic Disparities in Stroke Thrombolysis in the United States.

BACKGROUND AND PURPOSE: Intravenous thrombolysis (IVT) after ischemic stroke is underutilized in racially/ethnically minoritized groups. We aimed to determine the regional and geographic variability in racial/ethnic IVT disparities in the United States. METHODS: Acute ischemic stroke admissions between 2012 and 2018 were identified in the National Inpatient Sample. Multivariable logistic regression was used to test the association between IVT and race/ethnicity, stratified by geographic region and controlling for demographic, clinical, and hospital characteristics. RESULTS: Of the 545 509 included cases, 47 031 (8.6%) received IVT. Racially/ethnically minoritized groups had significantly lower adjusted odds of IVT compared with White people in the South Atlantic region (odds ratio [OR], 0.86 [95% CI, 0.82-0.91]), the East North Central region (OR, 0.91 [95% CI, 0.85-0.97]) and the Pacific region (OR, 0.90 [95% CI, 0.85-0.96]). In the South Atlantic region, IVT use in racial/ethnic minority groups was below the national average of all racial/ethnic minority patients (P=0.002). Compared with White patients, Black patients had lower odds of IVT in the Middle Atlantic region (OR, 0.84 [95% CI, 0.78-0.91]), the South Atlantic region (OR, 0.78 [95% CI, 0.74-0.82]), and the East North Central region (OR, 0.86 [95% CI, 0.79-0.93]). In the South Atlantic region, this difference was below the national average for Black people (P<0.001). Hispanic patients had significantly lower use of IVT only in the Pacific region (OR, 0.92 [95% CI, 0.85-0.99]), while Asian/Pacific Islander patients had lower odds of IVT in the Mountain (OR, 0.76 [95% CI, 0.59-0.98]) and Pacific region (OR, 0.89 [95% CI, 0.82-0.97]). CONCLUSIONS: Racial/ethnic disparities in IVT use in the United States vary by region. Geographic hotspots of lower IVT use in racially/ethnically minoritized groups are the South Atlantic region, driven predominantly by lower use of IVT in Black patients, and the East North Central and Pacific regions.

Trends of clinical trials from 2017 to 2019 in Korea: an integrated analysis based on the Ministry of Food and Drug Safety (MFDS) and the Clinical Research Information Service (CRIS) registries.

Public disclosure of approved clinical trials in a reliable registry can provide the transparency of the study. Although the registration of clinical trials has increased remarkably, the integrity of the data is not always satisfactory. In this study, we analyzed public clinical trial databases updated by the Ministry of Food and Drug Safety (MFDS) and Clinical Research Information Service (CRIS) registry to provide an overview of the trends of clinical trials approved between 2017 and 2019 in Korea. Information on clinical trials approved between January 1, 2017 and December 31, 2019 was collected from two databases. Trial information was categorized and summarized by study phase, therapeutic area, and location of the participating centers. A total of 655 to 715 clinical trials were newly approved annually by MFDS during the period from 2017 to 2019. Phase 1 clinical trials accounted for the largest proportion (31.0%), followed by phase 3 (29.5%), investigator-initiated trials (24.1%), phase 2 (14.6%), and phase 4 (0.5%). The number of clinical trials classified as an Antineoplastic and immunomodulating agent was the greatest (40.1%) regardless of the study phase. The similar result was obtained from CRIS registry where therapeutic area Neoplasms (15.9%) accounted for the largest number. The number of clinical trials performed in Seoul and Gyeonggi-do was approximately 70% of the total trials. In conclusion, our study provided a comprehensive overview of clinical trials in Korea from 2017 to 2019. The discrepancy between clinical trial registries could be resolved by introducing standardized database and guidelines.

Geographic Variation in Knowledge of Palliative Care Among US Adults: Findings From 2018 Health Information National Trends Survey.

BACKGROUND: Public knowledge and awareness of palliative care (PC) is important to its effective use. However, it remains unclear whether the geographic variation in knowledge of PC exits in the United States. This study examined the national geographic variation in knowledge of PC. METHODS: The study sample was obtained from the 2018 National Cancer Institute's Health Information National Trends Survey. Basic knowledge of PC, goal concordant treatment, misconceptions, and primary information source of PC were compared across 4 census regions. Multivariable logistic regression was used to examine factors associated with awareness of PC among 9 census divisions. RESULTS: A total of 3194 respondents (weighted sample size: 229 591 005) were included in this study. Overall, 29% of all respondents reported having knowledge of PC; 32.9% of those residing in Northeast had some knowledge of PC, followed by 30.8% in the South, 26.2% in Midwest, and 25.6% in West. By census divisions, respondents residing in 3 divisions were more likely to have PC knowledge (New England, odds ratio: 3.06, 95% CI: 1.48-6.32, P = .003; South Atlantic, odds ratio: 1.96, 95% CI: 1.15-3.35, P = .014; Pacific, odds ratio: 1.86, 95% CI: 1.12-3.09, P = .018) compared to those in the Mountain division. CONCLUSIONS: The variation of PC knowledge on census division and state level in 2018 was consistent with the real-world geographic disparities in the availability of PC programs. These findings represent an opportunity for minimizing the gap of geographic disparity by initiating strategic programs and promoting PC programs nationwide.

Associations between ethnicity, place of residence, hearing status of family and habilitation of children with hearing impairment.

BACKGROUND: Hearing parents tend to have a strong preference for their deaf and hard-of-hearing children to acquire adequate speech, as opposed to use of sign language. Research reports the contribution of many variables to speech acquisition by children with hearing loss (HL). Yet, little is known about the association between ethnicity, place of residence, and hearing status of family members and mode of communication of young people with HL. The purpose of the present study was to examine whether mode of communication of young people with HL is associated with ethnicity, place of residence, and hearing status of family members. METHOD: Participants were young adults with sensory-neural severe to profound HL, either congenital or acquired prior to age 3. Only participants without additional disabilities were included. The data on participants were extracted from records of the Ministry of Labor, Social Affairs and Social Services in Israel. The data for each participant in the study included mode of communication, gender, use of assistive device, ethnicity, geographic place of residence, and presence of first-degree relatives with HL. Regarding participants with a cochlear implant (CI), age at implantation was documented as well. RESULTS: Chi-square tests revealed significant associations between mode of communication and all of the study variables. In addition, all the study variables made a significant contribution to mode of communication. Regarding ethnicity, most of the ultra-Orthodox participants used oral language, while the majority of Israeli-Arab participants used sign language. Regarding geographical place of residence, lower rates of oral language use were found in the northern and southern districts of Israel. CONCLUSIONS: The findings of the present study underline the need for better monitoring of Israeli-Arab children with HL and children residing in peripheral areas in Israel and for improving access to habilitation services.