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By providing spaces for recreation, physical activity, social gatherings, and time in nature, urban parks offer physical, mental, and social benefits to users. However, many urban residents face barriers to park use. The COVID-19 pandemic introduced new potential barriers to urban park access and use, including changes to daily life and employment, closure of park amenities and restrictions to public movement, and risk from the coronavirus itself. The mixed-methods PARCS study measured use and perceptions of a large urban park in St. Louis, Missouri before, during, and after local COVID-19 contingency measures and restrictions. We examine data from 1,157 direct observation assessments of park usership, an online survey of park users (n=561), interviews with key stakeholders (n=27), four focus groups (n=30), and a community-based participatory research sub-study (n=66) to comprehensively characterize the effects of the COVID-19 pandemic on park use. Park users who felt unsafe from the coronavirus experienced 2.65 higher odds of reducing park use. However, estimated park visits during COVID-19 contingency measures (n=5,023,759) were twice as high as post-contingency (n=2,277,496). Participants reported using the park for physical activity, recreation, time in nature, and socializing during the contingency period. Black, Hispanic/Latino, and young people were less likely to visit the park than others, suggesting an additional, disproportionate impact of the pandemic on minoritized and socioeconomically disadvantaged communities. This study highlights the role of public spaces like parks as resources for health and sites where urban health inequities can be alleviated in times of public crisis.
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Livability, or how a place and its systems (e.g., housing, transportation) supports the ability to lead a livable life, is a determinant of health. There is a lack of standard, validated measures to assess livability in the US. This study employed factor analytic methods to create measures of livability in Connecticut using data from the DataHaven Community Wellbeing Survey (DCWS) (n = 32,262). Results identified a 3-factor model (safety, opportunity, and infrastructure) as the best fit, explaining 69% of the variance in survey items. Newly created livability measures had high internal consistency, in addition to high convergent validity with other area-level measures.
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AIM: To test the association between sociodemographic and social characteristics with COVID-19 cases and deaths in small and large Brazilian cities. METHODS: This ecological study included COVID-19 data available in State Health Secretaries (managed by brasil.io API) and three national databases (IBGE, DATASUS and Embrapa). Temporal spread of COVID-19 in Brazil during the first year considered as outcome: a) days until 1st case in each city since 1st in the country; b) days until 1,000 cases/100,000 inhabitants since 1st case in each city; c) days until 1st death until 50 deaths/100,000 inhabitants. Covariates included geographic region, city social and environmental characteristics, housing conditions, job characteristics, socioeconomic and inequalities characteristics, and health services and coverage. The analysis were stratified by city size into small (<100,000 inhabitants) and large cities (≥100,00 inhabitants). Multiple linear regressions were performed to test associations of all covariates to adjust to potential confounders. RESULTS: In small cities, the first cases were reported after 82.2 days and 1,000 cases/100,000 were reported after 117.8 days, whereas in large cities these milestones were reported after 32.1 and 127.7 days, respectively. For first death, small and large cities took 121.6 and 36.0 days, respectively. However, small cities were associated with more vulnerability factors to first case arrival in 1,000 cases/100,000 inhabitants, first death and 50 deaths/100,000 inhabitants. North and Northeast regions positively associated with faster COVID-19 incidence, whereas South and Southeast were least. CONCLUSION: Social and built environment characteristics and inequalities were associated with COVID-19 cases spread and mortality incidence in Brazilian cities.
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COVID-19 , Ciudades , COVID-19/epidemiología , COVID-19/mortalidad , Humanos , Brasil/epidemiología , Ciudades/epidemiología , Factores Socioeconómicos , SARS-CoV-2/aislamiento & purificaciónRESUMEN
This study aimed to estimate the prevalence of alterations in self-perceived mental health during the COVID-19 pandemic and their associated factors in four Latin American countries. This is a cross-sectional study based on data collected from adults in 2021 through the Collaborative Response COVID-19 Survey by the MacDonnell Academy at Washington University in St. Louis (United States). The sample was composed of 8,125 individuals from Brazil, Colombia, Mexico, and Chile. A generalized linear model for a binary outcome variable with a logistic link and fixed country effects was used. There were 2,336 (28.75%) individuals who considered having suffered alterations in self-perceived mental health. Unemployed individuals (OR = 1.40; 95%CI: 1.24-1.58), those with bad/regular quality of life (OR = 5.03; 95%CI: 4.01-6.31), and those with high socioeconomic status (OR = 1.66; 95%CI: 1.41-1.96) had a higher risk of self-perceived mental health alterations than those with full-time employment, excellent quality, and low socioeconomic status. According to the fixed-effects model, Brazilians living in the country during the pandemic, who disagreed with their government's decisions (OR = 2.05; 95%CI: 1.74-2.42) and lacked trust in their government (OR = 2.10; 95%CI: 1.74-2.42) had a higher risk of having self-perceived mental health alterations. Nearly 30% of respondents indicated that the COVID-19 pandemic altered their self-perceived mental health. This outcome was associated with political, sociodemographic, and health risk factors. These findings should help policymakers develop post-pandemic community interventions.
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COVID-19 , Pueblos Sudamericanos , Adulto , Humanos , América Latina/epidemiología , Salud Mental , Calidad de Vida , Estudios Transversales , Pandemias , Brasil/epidemiología , AutoimagenRESUMEN
OBJECTIVE: To assess leisure-time physical activity (LTPA) as a modifier of the diabetes/cognitive decline association in middle-aged and older participants in the Estudo Longitudinal de Saude do Adulto (ELSA-Brasil) study. RESEARCH DESIGN AND METHODS: ELSA-Brasil is a cohort of 15,105 participants (age 35-74 years) enrolled between 2008 and 2010. We evaluated global cognitive function, summing the scores of six standardized tests evaluating memory and verbal fluency, including the Trail-Making Test, at baseline and follow-up. Incident cognitive impairment was defined as a global cognitive function score at follow-up lower than -1 SD from baseline mean. Participants reporting ≥150 min/week of moderate to vigorous LTPA at baseline were classified as physically active. We assessed the association of LTPA with global cognition change in those with diabetes in the context of our overall sample through multivariable regression models. RESULTS: Participants' (N = 12,214) mean age at baseline was 51.4 (SD 8.8) years, and 55.5% were women. During a mean follow-up of 8.1 (SD 0.6) years, 9,345 (76.5%) inactive participants and 1,731 (14.1%) participants with diabetes at baseline experienced faster declines in global cognition than those who were active (ß = -0.003, -0.004, and -0.002) and those without diabetes (ß = -0.004, -0.005, and -0.003), respectively. Diabetes increased the risk of cognitive impairment (hazard ratio [HR] 1.71; 95% Cl 1.22, 2.39) in inactive but not in active adults (HR 1.18; 95% CI 0.73, 1.90). Among participants with diabetes, those who were active showed a delay of 2.73 (95% CI 0.94, 4.51) years in the onset of cognitive impairment. CONCLUSIONS: In adults living with diabetes, LTPA attenuated the deleterious association between diabetes and cognitive function.
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Disfunción Cognitiva , Diabetes Mellitus , Persona de Mediana Edad , Humanos , Femenino , Anciano , Adulto , Masculino , Estudios Longitudinales , Diabetes Mellitus/epidemiología , Cognición , Actividades Recreativas , Ejercicio FísicoRESUMEN
Abstract This study aimed to estimate the prevalence of alterations in self-perceived mental health during the COVID-19 pandemic and their associated factors in four Latin American countries. This is a cross-sectional study based on data collected from adults in 2021 through the Collaborative Response COVID-19 Survey by the MacDonnell Academy at Washington University in St. Louis (United States). The sample was composed of 8,125 individuals from Brazil, Colombia, Mexico, and Chile. A generalized linear model for a binary outcome variable with a logistic link and fixed country effects was used. There were 2,336 (28.75%) individuals who considered having suffered alterations in self-perceived mental health. Unemployed individuals (OR = 1.40; 95%CI: 1.24-1.58), those with bad/regular quality of life (OR = 5.03; 95%CI: 4.01-6.31), and those with high socioeconomic status (OR = 1.66; 95%CI: 1.41-1.96) had a higher risk of self-perceived mental health alterations than those with full-time employment, excellent quality, and low socioeconomic status. According to the fixed-effects model, Brazilians living in the country during the pandemic, who disagreed with their government's decisions (OR = 2.05; 95%CI: 1.74-2.42) and lacked trust in their government (OR = 2.10; 95%CI: 1.74-2.42) had a higher risk of having self-perceived mental health alterations. Nearly 30% of respondents indicated that the COVID-19 pandemic altered their self-perceived mental health. This outcome was associated with political, sociodemographic, and health risk factors. These findings should help policymakers develop post-pandemic community interventions.
Resumen Este estudio tuvo como objetivo estimar la prevalencia de alteraciones en la autopercepción de la salud mental durante la pandemia de COVID-19 y sus factores asociados en cuatro países de América Latina. Este es un estudio transversal de datos recopilados de adultos en el 2021 por medio de la investigación Respuesta Colaborativa a COVID-19 de la Academia McDonnell en la Universidad Washington en St. Louis (Estados Unidos). La muestra estuvo compuesta por 8.125 personas de Brasil, Colombia, México y Chile. El estudio utilizó un modelo lineal generalizado para una variable de desenlace binario con un enlace logístico y efectos fijos por país. En total, 2.336 (28,75%) personas consideraron que habían sufrido alteraciones en la autopercepción de la salud mental. Los desempleados (OR = 1,40; IC95%: 1,24-1,58), aquellos con calidad de vida mala/regular (OR = 5,03; IC95%: 4,01-6,31) y aquellos con alto nivel socioeconómico (OR = 1,66; IC95%: 1,41-1,96) presentaron mayor riesgo de alteraciones en la autopercepción de la salud mental que aquellos con empleo a tiempo completo, excelente calidad y bajo nivel socioeconómico. Según el modelo de efectos fijos, los brasileños que vivían en el país durante la pandemia y que no estuvieron de acuerdo con las decisiones del gobierno (OR = 2,05; IC95%: 1,74-2,42) y no confiaban en su gobierno (OR = 2,10; IC95%: 1,74-2,42) presentaron mayor riesgo de alteraciones en la autopercepción de la salud mental. Casi el 30% de los encuestados indicaron que la pandemia de COVID-19 alteró su autopercepción de la salud mental. Este desenlace se asoció con factores políticos, sociodemográficos y de riesgo a la salud. Estos hallazgos deben ayudar a los formuladores de políticas a desarrollar intervenciones comunitarias pospandémicas.
Resumo Este estudo teve como objetivo estimar a prevalência de alterações na autopercepção de saúde mental durante a pandemia de COVID-19 e seus fatores associados em quatro países da América Latina. Este é um estudo transversal de dados coletados de adultos em 2021 por meio da pesquisa Resposta Colaborativa à COVID-19 da Academia McDonnell na Universidade Washington em St. Louis (Estados Unidos). A amostra foi composta por 8.125 pessoas do Brasil, Colômbia, México e Chile. O estudo utilizou um modelo linear generalizado para uma variável de desfecho binário com uma conexão logística e efeitos fixos do país. No total, 2.336 (28,75%) pessoas consideraram ter sofrido alterações na autopercepção de saúde mental. Os desempregados (OR = 1,40; IC95%: 1,24-1,58), aqueles com qualidade de vida ruim/regular (OR = 5,03; IC95%: 4,01-6,31) e aqueles com alto nível socioeconômico (OR = 1,66; IC95%: 1,41-1,96) apresentaram maior risco de alterações na autopercepção de saúde mental do que aqueles com emprego em tempo integral, excelente qualidade e baixo nível socioeconômico. De acordo com o modelo de efeitos fixos, os brasileiros que viviam no país durante a pandemia, que discordavam das decisões do governo (OR = 2,05; IC95%: 1,74-2,42) e não confiavam em seu governo (OR = 2,10; IC95%: 1,74-2,42) apresentaram maior risco de alterações na autopercepção de saúde mental. Quase 30% dos entrevistados indicaram que a pandemia da COVID-19 alterou sua autopercepção de saúde mental. Esse desfecho estava associado a fatores políticos, sociodemográficos e de risco à saúde. Estes achados devem ajudar os formuladores de políticas a desenvolver intervenções comunitárias pós-pandemia.
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Connecting evidence-based public health recommendations to livability, a popular and relatable construct, can increase the policy relevance of research to improve community design. However, there are many different definitions and conceptualizations of livability and little consensus about its measurement. Improved measurement, including standardization, is needed to increase understanding of livability's influence on health and to facilitate comparisons across contexts. This study sought to review existing livability measures, how they were created, and evidence regarding their reliability and validity. A scoping review of three databases (PubMed, Google Scholar, and Web of Science) identified 744 eligible studies. After screening, 24 studies, 15 from the original search and 9 through backward citation searches, were included in the review. Most studies were carried out in an urban context. There was minimal consensus across studies on the conceptualization of livability. However, measure domains and indicators overlapped significantly. While the process used to validate the measures varied, most studies reported high levels of reliability and found that livability was correlated with similar measures (e.g. place satisfaction, neighborhood safety, and sense of place) and self-reported health and wellbeing. Further research is needed to develop parsimonious, standardized measures of livability in order to create and sustain livable communities worldwide.
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BACKGROUND: To prevent diabetes complications, the American Diabetes Association (ADA) has recommended the treatment of blood glucose, blood pressure, and LDL-cholesterol (LDL-c) to target levels. Our aim is to characterize the risk of death according to the achievement of these goals in subjects with diabetes participating in the ELSA-Brasil study. METHODS: ELSA-Brasil is an occupational cohort study of middle-aged and elderly adults followed from a 2008-2010 baseline to 2019 by two additional clinic visits and annual telephone interviews. We ascertained known diabetes by self-reported diagnosis or anti-diabetic medication use. We used treatment targets based on the 2022 ADA guidelines. We ascertained deaths from any cause based on the annual surveillance confirmed by death certificates. RESULTS: After 11 (1.8) years of follow-up, 261 subjects had died among 2423 with known diabetes. Within-target HbA1c was associated with the greatest protection (HR = 0.66; 95%CI 0.50-0.88) against all-cause mortality. Achieving both glycemic and blood pressure targets conferred substantial protection (HR = 0.54; 95%CI 0.37-0.78). Within-target LDL-c, however, was associated with increased mortality (HR = 1.44; 95%CI 1.11-1.88). CONCLUSIONS: Glucose and blood pressure control, especially when concomitant, reduced mortality. The increased mortality associated with achieving the LDL-c target merits further investigation.
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BACKGROUND: Next-generation sequencing has had a significant impact on genetic disease diagnosis, but the interpretation of the vast amount of genomic data it generates can be challenging. To address this, the American College of Medical Genetics and Genomics and the Association for Molecular Pathology have established guidelines for standardized variant interpretation. In this manuscript, we present the updated Hospital Israelita Albert Einstein Standards for Constitutional Sequence Variants Classification, incorporating modifications from leading genetics societies and the ClinGen initiative. RESULTS: First, we standardized the scientific publications, documents, and other reliable sources for this document to ensure an evidence-based approach. Next, we defined the databases that would provide variant information for the classification process, established the terminology for molecular findings, set standards for disease-gene associations, and determined the nomenclature for classification criteria. Subsequently, we defined the general rules for variant classification and the Bayesian statistical reasoning principles to enhance this process. We also defined bioinformatics standards for automated classification. Our workgroup adhered to gene-specific rules and workflows curated by the ClinGen Variant Curation Expert Panels whenever available. Additionally, a distinct set of specifications for criteria modulation was created for cancer genes, recognizing their unique characteristics. CONCLUSIONS: The development of an internal consensus and standards for constitutional sequence variant classification, specifically adapted to the Brazilian population, further contributes to the continuous refinement of variant classification practices. The aim of these efforts from the workgroup is to enhance the reliability and uniformity of variant classification.
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Pruebas Genéticas , Variación Genética , Humanos , Estados Unidos , Mutación , Reproducibilidad de los Resultados , Teorema de Bayes , Genoma HumanoRESUMEN
BACKGROUND: A significant gap remains between the availability of physical activity (PA) evidence-based interventions and their application in real-world settings in policy and practice areas. This study aims to describe highly cited and high altmetrics publications in PA research and explore their impact on PA policy and practice. METHODS: Mixed-methods sequential explanatory study including the identification and description of the top highly cited and high altmetrics PA publications from the last 10 years (including study design, population, type of PA study, number of citations, and altmetrics score), and interviews with key informants regarding research dissemination and implications on PA policy and practice. RESULTS: When considering publication type, the most frequent highly cited publications were health consequences (40%, altmetrics = 42%), measurement/trends (23%, altmetrics = 10%), and correlates/determinants (21%, altmetrics = 26%) studies. They were predominantly cross-sectional (50%, altmetrics = 28%), systematic reviews (38%, altmetrics = 18%), and longitudinal studies (8%, altmetrics = 37%). All authors who participated in the interviews agreed that the most important factors in disseminating findings and influencing PA policy and practice were the published peer-reviewed manuscript itself, the reputation of the journal, the communication strategy, and the use of online platforms. CONCLUSIONS: To have a real-world influence on PA policy and practice, it is not enough to publish the results in scientific journals and participate in media outreach. To successfully involve policymakers and communities in appropriating the evidence and evaluating the extent to which these findings affect policy and practice outcomes, it is critical to lead co-creation, co-dissemination, advocacy, and capacity building efforts.
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Bibliometría , Medios de Comunicación Sociales , Humanos , Estudios Transversales , Ejercicio Físico , ComunicaciónRESUMEN
Ignoring the presence of dependent censoring in data analysis can lead to biased estimates, for example, not considering the effect of abandonment of the tuberculosis treatment may influence inferences about the cure probability. In order to assess the relationship between cure and abandonment outcomes, we propose a copula Bayesian approach. Therefore, the main objective of this work is to introduce a Bayesian survival regression model, capable of taking into account the dependent censoring in the adjustment. So, this proposed approach is based on Clayton's copula, to provide the relation between survival and dependent censoring times. In addition, the Weibull and the piecewise exponential marginal distributions are considered in order to fit the times. A simulation study is carried out to perform comparisons between different scenarios of dependence, different specifications of prior distributions, and comparisons with the maximum likelihood inference. Finally, we apply the proposed approach to a tuberculosis treatment adherence dataset of an HIV cohort from Alvorada-RS, Brazil. Results show that cure and abandonment outcomes are negatively correlated, that is, as long as the chance of abandoning the treatment increases, the chance of tuberculosis cure decreases.
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Cumplimiento y Adherencia al Tratamiento , Tuberculosis , Humanos , Teorema de Bayes , Brasil , Simulación por Computador , Tuberculosis/tratamiento farmacológicoRESUMEN
In 1998, Bill Gray and colleagues showed that warm temperatures trigger arabidopsis hypocotyl elongation in an auxin-dependent manner. This laid the foundation for a vibrant research discipline. With several active members of the 'thermomorphogenesis' community, we here reflect on 25 years of elevated ambient temperature research and look to the future.
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Proteínas de Arabidopsis , Arabidopsis , Proteínas de Arabidopsis/metabolismo , Regulación de la Expresión Génica de las Plantas , Arabidopsis/genética , Arabidopsis/metabolismo , Temperatura , Hipocótilo/metabolismo , Ácidos IndolacéticosRESUMEN
Hydatidosis is a zoonosis caused by Echinococcus granulosus, leading to the formation of cysts on involved organs. Cardiac involvement is rare and can cause a wide range of complications secondary to rupture, embolization, or compression. Its diagnosis is challenging, and is generally confirmed through data related to clinical manifestations, environmental exposure, and laboratory and imaging exams. Surgical removal is necessary in most cases, in which an association with antiparasite therapy is recommended. The present article describes a case of a cardiac hydatid cyst associated with a complete atrioventricular block (AVB) in a young adult patient, with the need for a pacemaker implant, an atypical presentation, and scarce reports in the literature.
A hidatidose é uma zoonose causada pelo Echinococcus granulosus, levando à formação de cistos nos órgãos acometidos. O envolvimento cardíaco é raro e pode causar diversas complicações secundárias à ruptura, embolização ou compressão. Seu diagnóstico é desafiador, sendo confirmado por meio de dados relacionados a manifestações clínicas, exposição ambiental, exames laboratoriais e de imagem. A ressecção cirúrgica é necessária na maioria dos casos, sendo indicada a associação com terapia antiparasitária. No presente artigo, descreve-se um caso de cisto hidático cardíaco associado a bloqueio atrioventricular total em paciente jovem, com necessidade de implante de marcapasso, uma apresentação atípica e pouco relatada na literatura.
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Bloqueo Atrioventricular , Equinococosis , Adulto Joven , Humanos , Bloqueo Atrioventricular/diagnóstico por imagen , Bloqueo Atrioventricular/etiología , Bloqueo Atrioventricular/terapia , Equinococosis/complicaciones , Equinococosis/diagnóstico por imagen , Diagnóstico por Imagen , CorazónRESUMEN
Background and Objectives: The relationship between 24-hr movement behavior and specific domains of cognitive function is unclear. The purpose of this study was to identify the joint association of daily time spent in light (light-intensity physical activity [LPA]) and moderate-to-vigorous physical activity (MVPA), sedentary behavior (SB), and sleep with cognitive function in middle-aged and older adults. Research Design and Methods: Cross-sectional data from Wave 3 (2017-2019) of the Brazilian Longitudinal Study of Adult Health were analyzed. The study included adults aged 41-84 years old. Physical activity was assessed using a waist-worn accelerometer. Cognitive function was examined using standardized tests to assess memory, language, and Trail-Making test. Global cognitive function score was calculated by averaging domain-specific scores. Compositional isotemporal substitution models were performed to identify the association between the reallocation of time spent in LPA, MVPA, sleep, and SB with cognitive function. Results: Participants (n = 8,608) were 55.9% female (mean age 58.9 [8.6] years). Reallocating time from SB to MVPA was associated with higher cognitive function: Reallocating 15 min to MVPA by reducing 5 min from each other behavior was associated with increased odds of better cognitive function in both insufficient (<7 hr/day; odds ratio [OR]: 0.64; 95% confidence interval [CI]: 0.54-0.77) and sufficient (≥7 hr/day; OR: 0.62; 95% CI: 0.58-0.67) sleep groups. Among those with insufficient sleep, reallocating time to MVPA and sleep from SB was associated with higher global cognitive performance. Discussion and Implications: Small reductions in SB and increments in MVPA were associated with higher cognitive function in middle-aged and older adults.
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BACKGROUND: Acute myeloid leukemia (AML) is a myeloid neoplasm associated with a high morbidity and mortality. The diagnosis, risk stratification and therapy selection in AML have changed substantially in the last decade with the progressive incorporation of clinically relevant molecular markers. METHODS: In this work, our aim was to describe a real-world genomic profiling experience in AML and to demonstrate the impact of the European Leukemia Net 2022 update on risk stratification in AML. RESULTS AND DISCUSSION: One hundred and forty-one patients were evaluated with an amplicon-based multi-gene next-generation sequencing (NGS) panel. The most commonly mutated genes were FLT3, DNMT3A, RUNX1, IDH2, NPM1, ASXL1, SRSF2, NRAS, TP53 and TET2. Detection of FLT3 ITD with NGS had a sensitivity of 96.3% when compared to capillary electrophoresis. According to ELN 2017, 26.6%, 20.1%, and 53.3% of patients were classified as having a good, moderate, or unfavorable risk. When ELN 2022 was used, 15.6%, 27.8%, and 56.6% of patients were classified as favorable, moderate, or unfavorable risk, respectively. When ELN 2022 was compared to ELN 2017, thirteen patients (14.4%) exhibited a different risk classification, with a significant decrease in the number of favorable risk patients, what has immediate clinical impact. CONCLUSIONS: In conclusion, we have described a real-world genomic profiling experience in AML and the impact of the 2022 ELN update on risk stratification.
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Leucemia Mieloide Aguda , Nucleofosmina , Humanos , Mutación , Leucemia Mieloide Aguda/tratamiento farmacológico , Medición de Riesgo , Genómica , PronósticoRESUMEN
Background: Screening for undiagnosed diabetes using glucose testing is recommended globally to allow preventive action among those detected. Our aim was to evaluate the access to glucose testing to screen for diabetes in Brazil using self-reported information on recent testing and medical consultation from national surveys of Brazilian adults. Methods: The Pesquisa Nacional de Saúde (PNS) was conducted in 2013 and 2019 drawing probabilistic samples of Brazilians aged 18 years and above. To evaluate glucose testing among those undiagnosed, we excluded those self-reporting a previous diagnosis of diabetes. We then defined recent access to diabetes diagnosis by considering the previous two years and choosing the last blood glucose test and the proximal medical consultation reported. We used Poisson regression with robust variance to assess correlates of access, expressing them with adjusted prevalence ratios (PR) and their 95% confidence intervals. Results: Access to recent glucose testing documented that over 70% reported a recent glycemic test, 71% in 2013, and 77% in 2019. These findings are consistent with a wide recent access to medical consultation, 86% and 89% in 2013 and 2019, respectively. Reporting recent glucose testing and medical consultation may better reflect the actual access to medical diagnostic testing. When analyzing this joint outcome, diagnostic access was still wide, 67% and 74%, respectively. Greater access (p< 0.001) was seen for women (PR=1.16; 1.15-1.17), older individuals (PR=1.25; 1.22-1.28), and those with higher education (PR=1.17; 1.15-1.18), obesity (PR=1.06; 1.05-1.08), and hypertension (PR=1.12; 1.11-1.13). In contrast, lower access (p<0.001) was seen for those declaring being Black (PR=0.97; 0.95-0.99) or of mixed-race (PR=0.97; 0.96-0.98), those residing in rural areas (PR=0.89; 0.87-0.90), and not having a private health insurance plan (PR=0.85; 0.84-0.86). Conclusions: Although access to diagnostic testing for diabetes is high in Brazil, partly due to its universal health system, social inequities are still present, demanding specific actions, particularly in rural areas and among those self-declaring as being Black or mixed-race.
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Diabetes Mellitus , Adulto , Humanos , Femenino , Brasil/epidemiología , Diabetes Mellitus/diagnóstico , Diabetes Mellitus/epidemiología , Encuestas Epidemiológicas , Derivación y Consulta , GlucosaRESUMEN
Plants exposed to mildly elevated temperatures display morphological and developmental changes collectively termed thermomorphogenesis. This adaptative process has several undesirable consequences for food production, including yield reduction and increased vulnerability to pathogens. Understanding thermomorphogenesis is, thus, critical for understanding how plants will respond to conditions of increasingly warmer temperature, such as those caused by climate change. Recently, major advances in that direction have been made, and it has become apparent that plants resort to a broad range of molecules and molecular mechanisms to perceive and respond to increases in environmental temperature. However, most effort has been focused on regulation of transcription and protein abundance and activity, with an important gap encompassing nearly all processes involving RNA (i.e. post-transcriptional regulation). Here, current knowledge of thermomorphogenesis involving transcriptional, post-transcriptional, and post-translational regulation is summarized, focusing on opportunities and challenges in understanding post-transcriptional regulation-a fertile field for exciting new discoveries.
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Proteínas de Arabidopsis , Arabidopsis , Proteínas de Arabidopsis/metabolismo , Arabidopsis/genética , Regulación de la Expresión Génica de las Plantas , Plantas/genética , Plantas/metabolismo , Factores de Transcripción con Motivo Hélice-Asa-Hélice Básico/metabolismo , TemperaturaRESUMEN
Port-related activities have a detrimental impact on the air quality both at the point of source and for considerable distances beyond. These activities include, but are not limited to, heavy cargo traffic, onboard, and at-berth emissions. Due to differences in construction, operation, location, and policies at ports, the site-specific air pollution cocktail could result in different human health risks. Thus, monitoring and evaluating such emissions are essential to predict the risk to the community. Environmental agencies often monitor key pollutants (PM2.5, PM10, NO2, SO2), but the volatile organic carbons (VOCs) most often are not, due to its analytical challenging. This study intends to fill that gap and evaluate the VOC emissions caused by activities related to the port of Paranaguá - one of the largest bulk ports in Latin America - by characterizing BTEX concentrations at the port and its surroundings. At seven different sites, passive samplers were used to measure the dispersion of BTEX concentrations throughout the port and around the city at weekly intervals from November 2018 to January 2019. The average and uncertainty of BTEX concentrations (µg m-3) were 0.60 ± 0.43, 5.58 ± 3.80, 3.30 ± 2.41, 4.66 ± 3.67, and 2.82 ± 1.95 for benzene, toluene, ethylbenzene, m- and p-xylene, and o-xylene, respectively. Relationships between toluene and benzene and health risk analysis were used to establish the potential effects of BTEX emissions on the population of the city of Paranaguá. Ratio analysis (T/B, B/T, m,p X/Et, and m,p X/B) indicate that the BTEX levels are mainly from fresh emission sources and that photochemical ageing was at minimum. The cancer risk varied across the sampling trajectory, whereas ethylbenzene represented a moderate cancer risk development for the exposed population in some of the locations. This study provided the necessary baseline data to support policymakers on how to change the circumstances of those currently at risk, putting in place a sustainable operation.
Asunto(s)
Contaminantes Atmosféricos , Humanos , Contaminantes Atmosféricos/análisis , Benceno/análisis , Monitoreo del Ambiente , América Latina , Derivados del Benceno/análisis , Xilenos/análisis , Tolueno/análisisRESUMEN
BACKGROUND: Control of glucose, blood pressure, cholesterol, and smoking improves the prognosis of individuals with diabetes mellitus. Our objective was to assess the level of control of these risk factors in Brazilian adults with known diabetes and evaluate correlates of target achievement. METHODS: Cross-sectional sample of the Brazilian Longitudinal Study of Adult Health, composed of participants reporting a previous diagnosis of diabetes or the use oof antidiabetic medication. We measured glycated hemoglobin (HbA1c) and LDL-cholesterol at a central laboratory and blood pressure following standardized protocols. We defined HbA1c < 7% as glucose control (target A); blood pressure < 140/90 mmHg (or < 130/80 mmHg in high cardiovascular risk) as blood pressure control (target B), and LDL-c < 100 mg/dl (or < 70 mg/dl in high risk) as lipid control (target C), according to the 2022 American Diabetes Association guidelines. RESULTS: Among 2062 individuals with diabetes, 1364 (66.1%) reached target A, 1596 (77.4%) target B, and 1086 (52.7%) target C; only 590 (28.6%) achieved all three targets. When also considering a non-smoking target, those achieving all targets dropped to 555 (26.9%). Women (PR = 1.13; 95%CI 1.07-1.20), those aged ≥ 74 (PR = 1.20; 95%CI 1.08-1.34), and those with greater per capita income (e.g., greatest income PR = 1.26; 95%CI 1.10-1.45) were more likely to reach glucose control. Those black (PR = 0.91; 95%CI 0.83-1.00) or with a longer duration of diabetes (e.g., ≥ 10 years PR = 0.43; 95%CI 0.39-0.47) were less likely. Women (PR = 1.05; 95%CI 1.00-1.11) and those with private health insurance (PR = 1.15; 95%CI 1.07-1.23) were more likely to achieve two or more ABC targets; and those black (PR = 0.86; 95%CI 0.79-0.94) and with a longer duration of diabetes (e.g., > 10 years since diabetes diagnosis, PR = 0.68; 95%CI 0.63-0.73) less likely. CONCLUSION: Control of ABC targets was poor, notably for LDL-c and especially when considering combined control. Indicators of a disadvantaged social situation were associated with less frequent control.