Noncommunicable disease burden in Brazil and its states from 1990 to 2021, with projections for 2030.

OBJECTIVES: The aim of this study was to analyse the burden of disease due to noncommunicable diseases (NCDs) between 1990 and 2021 in Brazil. In addition, this study compared mortality from NCDs with mortality from all causes and COVID-19, analysed NCD mortality trends and projections for 2030, and analysed NCD mortality rates and risk factors attributed to these deaths among the 27 states of Brazil. STUDY DESIGN: Ecological studies. METHODS: This study used the Global Burden of Disease study (GBD) database from 1990 to 2021. Premature deaths from four NCDs (neoplasms, cardiovascular disease, chronic respiratory diseases and diabetes mellitus) were analysed. The following metrics were used to analyse the burden of NCDs in Brazil: absolute number of deaths, proportional mortality, mortality rate, years of life lost due to premature death (YLL), years lived with disabilities (YLD) and disability-adjusted years of life lost due to premature death (DALY). For comparison between the years studied and states, age-standardised rates were used. RESULTS: Finding from this study showed that there was increase in the proportion of premature deaths due to NCDs between 1990 and 2019 (29.4 % in 1990, 30.8 % in 2019), and a reduction in 2021 (24.7 %). The mortality rates, DALY and YLL from NCDs declined between 1990 and 2019 (-37.7 %, -34.5 % and -38.3 %, respectively); however, a stability in mortality rates, DALY, YLD, YLL was observed between 2019 and 2021 (-0.1 %, 0.7 %, -0.1 % and 0.8 %, respectively). Between 1990 and 2021, there was a decline in mortality rates, DALY and YLL for most states and an increase in YLD rates. However, results suggest that the Sustainable Development Goal (SDG) for the reduction in mortality from NCDs by one-third by 2030 will not be achieved. The main risk factors associated with premature death from NCDs in 2021 were high blood pressure, tobacco use, dietary risks, high body mass index (BMI) and high blood glucose levels. The correlation between sociodemographic index and percentage change in mortality rates was significant for the following total NCDs, cardiovascular disease, chronic respiratory disease, diabetes and neoplasms. CONCLUSIONS: The current study highlights the importance of deaths from NCDs in Brazil and the worsening of mortality rates since 2016, as a result of austerity measures and the COVID-19 pandemic, which compromises the achievement of the SDG reduced mortality targets for NCDs. There was a reduction in risk factors for NCDs, mainly behavioural, although metabolic risk factors are of great concern and require new strategies to promote health, prevention and comprehensive care.

A Spatial Transcriptomics Browser for Discovering Gene Expression Landscapes across Microscopic Tissue Sections.

A crucial feature of life is its spatial organization and compartmentalization on the molecular, cellular, and tissue levels. Spatial transcriptomics (ST) technology has opened a new chapter of the sequencing revolution, emerging rapidly with transformative effects across biology. This technique produces extensive and complex sequencing data, raising the need for computational methods for their comprehensive analysis and interpretation. We developed the ST browser web tool for the interactive discovery of ST images, focusing on different functional aspects such as single gene expression, the expression of functional gene sets, as well as the inspection of the spatial patterns of cell-cell interactions. As a unique feature, our tool applies self-organizing map (SOM) machine learning to the ST data. Our SOM data portrayal method generates individual gene expression landscapes for each spot in the ST image, enabling its downstream analysis with high resolution. The performance of the spatial browser is demonstrated by disentangling the intra-tumoral heterogeneity of melanoma and the microarchitecture of the mouse brain. The integration of machine-learning-based SOM portrayal into an interactive ST analysis environment opens novel perspectives for the comprehensive knowledge mining of the organization and interactions of cellular ecosystems.

Applying Machine Learning to Blood Count Data Predicts Sepsis with ICU Admission.

BACKGROUND: Timely diagnosis is crucial for sepsis treatment. Current machine learning (ML) models suffer from high complexity and limited applicability. We therefore created an ML model using only complete blood count (CBC) diagnostics. METHODS: We collected non-intensive care unit (non-ICU) data from a German tertiary care centre (January 2014 to December 2021). Using patient age, sex, and CBC parameters (haemoglobin, platelets, mean corpuscular volume, white and red blood cells), we trained a boosted random forest, which predicts sepsis with ICU admission. Two external validations were conducted using data from another German tertiary care centre and the Medical Information Mart for Intensive Care IV database (MIMIC-IV). Using the subset of laboratory orders also including procalcitonin (PCT), an analogous model was trained with PCT as an additional feature. RESULTS: After exclusion, 1 381 358 laboratory requests (2016 from sepsis cases) were available. The CBC model shows an area under the receiver operating characteristic (AUROC) of 0.872 (95% CI, 0.857-0.887). External validations show AUROCs of 0.805 (95% CI, 0.787-0.824) for University Medicine Greifswald and 0.845 (95% CI, 0.837-0.852) for MIMIC-IV. The model including PCT revealed a significantly higher AUROC (0.857; 95% CI, 0.836-0.877) than PCT alone (0.790; 95% CI, 0.759-0.821; P < 0.001). CONCLUSIONS: Our results demonstrate that routine CBC results could significantly improve diagnosis of sepsis when combined with ML. The CBC model can facilitate early sepsis prediction in non-ICU patients with high robustness in external validations. Its implementation in clinical decision support systems has strong potential to provide an essential time advantage and increase patient safety.

The Spectrum of Non-neoplastic Changes Associated With Breast Implants: Histopathology, Imaging, and Clinical Significance.

Breast implant-associated anaplastic large cell lymphoma has been recognized as a distinct entity in the World Health Organization classification of hematolymphoid neoplasms. These neoplasms are causally related to textured implants that were used worldwide until recently. Consequently, there is an increased demand for processing periprosthetic capsules, adding new challenges for surgeons, clinicians, and pathologists. In the literature, the focus has been on breast implant-associated anaplastic large cell lymphoma; however, benign complications related to the placement of breast implants occur in up to 20% to 30% of patients. Imaging studies are helpful in assessing patients with breast implants for evidence of implant rupture, changes in tissues surrounding the implants, or regional lymphadenopathy related to breast implants, but pathologic examination is often required. In this review, we couple our experience with a review of the literature to describe a range of benign lesions associated with breast implants that can be associated with different clinical presentations or pathogenesis and that may require different diagnostic approaches. We illustrate the spectrum of the most common of these benign disorders, highlighting their clinical, imaging, gross, and microscopic features. Finally, we propose a systematic approach for the diagnosis and handling of breast implant specimens in general.

International Diabetes Federation Position Statement on the 1-hour post-load plasma glucose for the diagnosis of intermediate hyperglycaemia and type 2 diabetes.

Many individuals with intermediate hyperglycaemia (IH), including impaired fasting glycaemia (IFG) and impaired glucose tolerance (IGT), as presently defined, will progress to type 2 diabetes (T2D). There is confirmatory evidence that T2D can be prevented by lifestyle modification and/or medications, in people with IGT diagnosed by 2-h plasma glucose (PG) during a 75-gram oral glucose tolerance test (OGTT). Over the last 40 years, a wealth of epidemiological data has confirmed the superior value of 1-h plasma glucose (PG) over fasting PG (FPG), glycated haemoglobin (HbA1c) and 2-h PG in populations of different ethnicity, sex and age in predicting diabetes and associated complications including death. Given the relentlessly rising prevalence of diabetes, a more sensitive, practical method is needed to detect people with IH and T2D for early prevention or treatment in the often lengthy trajectory to T2D and its complications. The International Diabetes Federation (IDF) Position Statement reviews findings that the 1-h post-load PG ≥ 155 mg/dL (8.6 mmol/L) in people with normal glucose tolerance (NGT) during an OGTT is highly predictive for detecting progression to T2D, micro- and macrovascular complications, obstructive sleep apnoea, cystic fibrosis-related diabetes mellitus, metabolic dysfunction-associated steatotic liver disease, and mortality in individuals with risk factors. The 1-h PG of 209 mg/dL (11.6 mmol/L) is also diagnostic of T2D. Importantly, the 1-h PG cut points for diagnosing IH and T2D can be detected earlier than the recommended 2-h PG thresholds. Taken together, the 1-h PG provides an opportunity to avoid misclassification of glycaemic status if FPG or HbA1c alone are used. The 1-h PG also allows early detection of high-risk people for intervention to prevent progression to T2D which will benefit the sizeable and growing population of individuals at increased risk of T2D. Using a 1-h OGTT, subsequent to screening with a non-laboratory diabetes risk tool, and intervening early will favourably impact the global diabetes epidemic. Health services should consider developing a policy for screening for IH based on local human and technical resources. People with a 1-h PG ≥ 155 mg/dL (8.6 mmol/L) are considered to have IH and should be prescribed lifestyle intervention and referred to a diabetes prevention program. People with a 1-h PG ≥ 209 mg/dL (11.6 mmol/L) are considered to have T2D and should have a repeat test to confirm the diagnosis of T2D and then referred for further evaluation and treatment. The substantive data presented in the Position Statement provides strong evidence for redefining current diagnostic criteria for IH and T2D by adding the 1-h PG.

Dynapenia and sarcopenia: association with the diagnosis, duration and complication of type 2 diabetes mellitus in ELSA-Brasil / Dinapenia e sarcopenia: associação com o diagnóstico, duração e complicações de diabetes mellitus tipo 2 no ELSA-Brasil / Dinapenia y sarcopenia: asociación con el diagnóstico, duración y complicaciones de la diabetes mellitus tipo 2 en ELSA-Brasil

Abstract: Sarcopenia (the loss of muscle mass, strength and skeletal muscle function) increases mortality and the risk of hospitalization in the older population. Although it is known that older adults with type 2 diabetes mellitus (T2DM) have a higher risk of dynapenia and sarcopenia, few studies have investigated these conditions in middle-aged populations. The objective of this study was to investigate whether T2DM, its duration, the presence of albuminuria, and glycemic control are associated with sarcopenia and its components in adults. The cross-sectional analysis was based on data from visit 2 of the Brazilian Longitudinal Study of Adult Health (2012-2014). The 2018 European Working Group on Sarcopenia in Older People criteria were used to define dynapenia, low appendicular muscle mass (LAMM), and sarcopenia (absent/probable/confirmed). The explanatory variables were: T2DM; duration of T2DM; T2DM according to the presence of albuminuria; and glycemic control (HbA1C < 7%) among people with T2DM. A total of 12,132 participants (mean age = 55.5, SD: 8.9 years) were included. The odds ratio for LAMM was greater among those with T2DM, T2DM duration from 5 to 10 years, and T2DM without albuminuria. Chances of dynapenia were higher among those with T2DM, T2DM duration > 10 years, and T2DM with and without albuminuria. The variables T2DM, T2DM ≥ 10 years, and T2DM with albuminuria increased the odds of probable sarcopenia, and T2DM duration from 5 to 10 years increased the odds of confirmed sarcopenia. The results support the importance of frequently monitoring the musculoskeletal mass and strength of individuals with T2DM to prevent sarcopenia and related outcomes.

Resumo: A sarcopenia (perda de massa muscular, força e função muscular esquelética) aumenta a mortalidade e o risco de hospitalização em idosos. Idosos com diabetes mellitus tipo 2 (DMT2) apresentam risco elevado de desenvolver dinapenia e sarcopenia, mas poucos estudos investigaram populações de meia-idade. O objetivo foi investigar se DMT2, sua duração, a presença de albuminúria e o controle glicêmico estão associados à sarcopenia e seus componentes em adultos. Análise transversal baseada nos dados da segunda visita do Estudo Longitudinal de Saúde do Adulto (2012-2014). Os critérios do European Working Group on Sarcopenia in Older People [Grupo de Trabalho Europeu sobre Sarcopenia em Pessoas Idosas] de 2018 foram usados para definir dinapenia, baixa massa muscular apendicular e sarcopenia (ausente/provável/confirmada). As variáveis explicativas foram: DMT2; duração do DMT2; DMT2 de acordo com a presença de albuminúria; e controle glicêmico (HbA1c < 7%) entre pessoas com DMT2. Foram incluídos 12.132 participantes (idade média de 55,5; DP: 8,9 anos). A razão de chances para baixa massa muscular apendicular foi maior entre pessoas com DMT2, duração do DMT2 entre 5 e 10 anos e DMT2 sem albuminúria. As chances de dinapenia foram maiores entre pessoas com DMT2, duração do DMT2 > 10 anos e DMT2 com e sem albuminúria. DMT2, DMT2 ≥ 10 anos e DMT2 com albuminúria aumentaram as chances de sarcopenia provável e duração do DMT2 entre 5 e 10 anos aumentaram as chances de sarcopenia confirmada. Os resultados reforçam a importância do monitoramento frequente da massa e da força muscular em indivíduos com DMT2 para prevenir a sarcopenia e desfechos relacionados.

Resumen: La sarcopenia (pérdida de masa muscular, fuerza y función muscular esquelética) aumenta la mortalidad y el riesgo de hospitalización en ancianos. Los ancianos con diabetes mellitus tipo 2 (DMT2) presentan un mayor riesgo de sufrir dinapenia y sarcopenia, pero pocos estudios han investigado poblaciones de mediana edad. El objetivo fue investigar si la DMT2, su duración, la presencia de albuminuria y el control glucémico están asociados con la sarcopenia y sus componentes en adultos. Análisis transversal basado en los datos de la visita 2 del Estudio Longitudinal de Salud del Adulto en Brasil (2012-2014). Se utilizaron los criterios del European Working Group on Sarcopenia in Older People [Grupo de Trabajo Europeo sobre Sarcopenia en Personas Mayores] del 2018 para definir dinapenia, baja masa muscular apendicular y sarcopenia (ausente/probable/confirmada). Las variables explicativas fueron las siguientes: DMT2; duración de la DMT2; DMT2 según la presencia de albuminuria; y control glucémico (HbA1c < 7%) entre personas con DMT2. Se incluyeron 12.132 participantes (edad media = 55,5, DE: 8,9 años). La razón de probabilidades de masa muscular apendicular baja fue mayor entre personas con DMT2, duración de la DMT2 entre 5 y 10 años y DMT2 sin albuminuria. Las probabilidades de dinapenia fueron mayores entre las personas con DMT2, duración de la DMT2 > 10 años y DMT2 con y sin albuminuria. Las condiciones de DMT2, DMT2 ≥ 10 años y DMT2 con albuminuria aumentaron las probabilidades de sarcopenia probable y la duración de la DMT2 entre 5 y 10 años las probabilidades de sarcopenia confirmada. Los resultados refuerzan la importancia del monitoreo frecuente de la masa y de la fuerza musculoesquelética en individuos con DMT2 para prevenir la sarcopenia y los desenlaces relacionados.

Achievement of Treatment Goals and Mortality in Individuals with Diabetes: The ELSA-Brasil Study.

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.

Association between ultra-processed food consumption and the incidence of type 2 diabetes: the ELSA-Brasil cohort.

BACKGROUND: Ultra-processed food (UPF) consumption increases the risk of type 2 diabetes in various high-income countries, with some variation in the magnitude across studies. Our objective was to investigate the association of UPF consumption and specific subgroups with incident type 2 diabetes in Brazilian adults. METHODS: The Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) is a multicenter cohort study of 15,105 adults (35-74 years) enrolled in public institutions in Brazil (2008-2010). We followed participants with two clinic visits (2012-2014; 2017-2019) and annual telephone surveillance. After excluding those with diabetes at baseline, who died or were lost in the follow-up, with missing data, with implausible energy food intake, or reporting bariatric surgery, there were 10,202 participants. We used the NOVA classification to assess UPF consumption based on a food frequency questionnaire. We defined type 2 diabetes by self-report, medication use, or comprehensive laboratory tests. We estimated relative risks (RR) and 95% confidence intervals (95% CI) using robust Poisson regression. RESULTS: Median UPF consumption was 372 g/day. Over 8.2 (0.7) years of follow-up, we detected 1799 (17.6%) incident cases. After adjustment for socio-demographics, family history of diabetes, and behavioral risk factors, comparing the fourth (≥ 566 g/day) with the first (< 236 g/day) quartile of UPF distribution, RR was 1.24 (1.10-1.39); every 150 g/day increments in UPF consumption resulted in a RR of 1.05 (1.03-1.07). Reclassifying natural beverages with added sweeteners as UPF increased risk (RR 1.40; 1.25-1.58). Among UPF subgroupings, consumption of processed meats and sweetened beverages increased diabetes risk, while yogurt and dairy sweets decreased the risk (p < 0.05). CONCLUSIONS: UPF consumption increased the incidence of type 2 diabetes in Brazilian adults, with heterogeneity across specific food items. These findings add to previous evidence for the role of UPFs in the development of diabetes and other chronic diseases, supporting recommendations to avoid their intake in diabetes prevention and management.

Impact of socioeconomic factors on lifestyle changes among employees of public higher education institutions in ELSA-Brasil during COVID-19 pandemic.

This study aimed to identify lifestyle changes and associated sociodemographic factors in women and men participating in the Brazilian Longitudinal Study for Adult Health (ELSA-Brasil) cohort during the COVID-19 pandemic. Longitudinal study with 3,776 (aged 58.8 years; SD ± 8.5) employees of public higher education institutions in the second follow-up and the wave-COVID of ELSA-Brasil. Data collected using structured questionnaires. An exploratory analysis was performed using binary and multinomial logistic regression on the dependent variables with two and three categories, respectively, by obtaining crude and adjusted odds ratio estimates in SPSS 20.0, considering a p-value < 0.05. There was a reduction in physical activity of 195.5 (SD ± 1,146.4) metabolic equivalents per week in women and 240.5 (SD ± 1,474.2) in men, and in smoking by 15.2%. There was an increase in alcohol consumption in men and women (434.2 ± 5,144.0; and 366.1 ± 4,879.0, respectively), in the food quality score (0.8 ± 3.7, women; 0.5 ± 3.7, men), sleeping time (0.4 ± 1.2, women; 0.5 ± 1.1, men), screen time (1.7 ± 2.4, women; 1.4 ± 2.3, men), and sitting time (1.7 ± 2.6, women; 1.5 ± 2.4, men) (hours/day). In total, 18.6% increased the purchase of ultra-processed foods and 36% increased the purchase of natural foods. Age and work activity contributed to increase the chance of purchasing ultra-processed foods, and age and adherence to social distancing influenced the shift to a more sedentary behavior, while income and active work favored the increase in alcoholic beverage consumption. These factors should be considered when developing public policies to avoid individual behaviors that are harmful to health during pandemics.

Transcriptomic Maps of Colorectal Liver Metastasis: Machine Learning of Gene Activation Patterns and Epigenetic Trajectories in Support of Precision Medicine.

The molecular mechanisms of the liver metastasis of colorectal cancer (CRLM) remain poorly understood. Here, we applied machine learning and bioinformatics trajectory inference to analyze a gene expression dataset of CRLM. We studied the co-regulation patterns at the gene level, the potential paths of tumor development, their functional context, and their prognostic relevance. Our analysis confirmed the subtyping of five liver metastasis subtypes (LMS). We provide gene-marker signatures for each LMS, and a comprehensive functional characterization that considers both the hallmarks of cancer and the tumor microenvironment. The ordering of CRLMs along a pseudotime-tree revealed a continuous shift in expression programs, suggesting a developmental relationship between the subtypes. Notably, trajectory inference and personalized analysis discovered a range of epigenetic states that shape and guide metastasis progression. By constructing prognostic maps that divided the expression landscape into regions associated with favorable and unfavorable prognoses, we derived a prognostic expression score. This was associated with critical processes such as epithelial-mesenchymal transition, treatment resistance, and immune evasion. These factors were associated with responses to neoadjuvant treatment and the formation of an immuno-suppressive, mesenchymal state. Our machine learning-based molecular profiling provides an in-depth characterization of CRLM heterogeneity with possible implications for treatment and personalized diagnostics.

Quantitative background parenchymal enhancement and fibro-glandular density at breast MRI: Association with BRCA status.

OBJECTIVES: To investigate whether MRI-based measurements of fibro-glandular tissue volume, breast density (MRBD), and background parenchymal enhancement (BPE) could be used to stratify two cohorts of healthy women: BRCA carriers and women at population risk of breast cancer. METHODS: Pre-menopausal women aged 40-50 years old were scanned at 3 T, employing a standard breast protocol including a DCE-MRI (35 and 30 participants in high- and low-risk groups, respectively). The dynamic range of the DCE protocol was characterised and both breasts were masked and segmented with minimal user input to produce measurements of fibro-glandular tissue volume, MRBD, and voxelwise BPE. Statistical tests were performed to determine inter- and intra-user repeatability, evaluate the symmetry between metrics derived from left and right breasts, and investigate MRBD and BPE differences between the high- and low-risk cohorts. RESULTS: Intra- and inter-user reproducibility in estimates of fibro-glandular tissue volume, MRBD, and median BPE estimations were good, with coefficients of variation < 15%. Coefficients of variation between left and right breasts were also low (< 25%). There were no significant correlations between fibro-glandular tissue volume, MRBD, and BPE for either risk group. However, the high-risk group had higher BPE kurtosis, although linear regression analysis did not reveal significant associations between BPE kurtosis and breast cancer risk. CONCLUSIONS: This study found no significant differences or correlations in fibro-glandular tissue volume, MRBD, or BPE metrics between the two groups of women with different levels of breast cancer risk. However, the results support further investigation into the heterogeneity of parenchymal enhancement. KEY POINTS: • A semi-automated method enabled quantitative measurements of fibro-glandular tissue volume, breast density, and background parenchymal enhancement with minimal user intervention. • Background parenchymal enhancement was quantified over the entire parenchyma, segmented in pre-contrast images, thus avoiding region selection. • No significant differences and correlations in fibro-glandular tissue volume, breast density, and breast background parenchymal enhancement were found between two cohorts of women at high and low levels of breast cancer risk.

Levels and correlates of risk factor control in diabetes mellitus -ELSA-Brasil.

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.

Association between meatless diet and depressive episodes: A cross-sectional analysis of baseline data from the longitudinal study of adult health (ELSA-Brasil).

BACKGROUND: The association between vegetarianism and depression is still unclear. We aimed to investigate the association between a meatless diet and the presence of depressive episodes among adults. METHODS: A cross-sectional analysis was performed with baseline data from the ELSA-Brasil cohort, which included 14,216 Brazilians aged 35 to 74 years. A meatless diet was defined from in a validated food frequency questionnaire. The Clinical Interview Schedule-Revised (CIS-R) instrument was used to assess depressive episodes. The association between meatless diet and presence of depressive episodes was expressed as a prevalence ratio (PR), determined by Poisson regression adjusted for potentially confounding and/or mediating variables: sociodemographic parameters, smoking, alcohol intake, physical activity, several clinical variables, self-assessed health status, body mass index, micronutrient intake, protein, food processing level, daily energy intake, and changes in diet in the preceding 6 months. RESULTS: We found a positive association between the prevalence of depressive episodes and a meatless diet. Meat non-consumers experienced approximately twice the frequency of depressive episodes of meat consumers, PRs ranging from 2.05 (95%CI 1.00-4.18) in the crude model to 2.37 (95%CI 1.24-4.51) in the fully adjusted model. LIMITATIONS: The cross-sectional design precluded the investigation of causal relationships. CONCLUSIONS: Depressive episodes are more prevalent in individuals who do not eat meat, independently of socioeconomic and lifestyle factors. Nutrient deficiencies do not explain this association. The nature of the association remains unclear, and longitudinal data are needed to clarify causal relationship.

Liver steatosis as a predictor of incident diabetes in adults: a prospective evaluation in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) / Esteatose hepática como preditor de diabetes incidente em adultos: avaliação prospectiva no Estudo Longitudinal de Saúde do Adulto (ELSA-Brasil) / Esteatosis hepática como predictor de diabetes incidente en adultos: evaluación prospectiva en el Estudio Longitudinal de Salud del Adulto (ELSA-Brasil)

Increasing epidemiological evidence suggests a bidirectional relationship between non-alcoholic fatty liver disease (NAFLD) and type 2 diabetes, and that NAFLD may precede and/or promote the development of diabetes. This study aimed to investigate whether liver steatosis is associated with the incidence of diabetes in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). The ELSA-Brasil is an occupational cohort study of active or retired civil servants, aged 35-74 years, in six capital cities in Brazil. We excluded participants with diabetes at baseline, those who reported excessive alcohol consumption or with missing information on relevant covariates, and those with self-referred hepatitis or cirrhosis. In total, 8,166 individuals participated, and the mean duration of follow-up was 3.8 years. The Cox proportional regression model was used to estimate the adjusted hazard ratio (HR) for the associations. Abdominal ultrasonography was used to detect liver steatosis. In the follow-up period, the cumulative incidence of diabetes was 5.25% in the whole sample, 7.83% and 3.88% in the groups with and without hepatic steatosis, respectively (p < 0.001). Compared to those without steatosis, individuals with hepatic steatosis had an increased risk of developing diabetes (HR = 1.31; 95%CI: 1.09-1.56) after adjustment for potential confounders, including body mass index (BMI). Hepatic steatosis was an independent predictor of incident diabetes in the ELSA-Brasil cohort study. Physicians should encourage changes in lifestyle and screen for diabetes in patients with fatty liver.

Evidências epidemiológicas crescentes sugerem uma relação bidirecional entre a doença hepática gordurosa não alcoólica (DHGNA) e o diabetes tipo 2 e que a DHGNA pode preceder e/ou promover o desenvolvimento de diabetes. O objetivo deste estudo foi investigar se a esteatose hepática está associada à incidência de diabetes no Estudo Longitudinal de Saúde do Adulto (ELSA-Brasil). O ELSA-Brasil é um estudo de coorte ocupacional com servidores públicos ativos ou aposentados, com idades entre 35 e 74 anos, de seis capitais do Brasil. Foram excluídos os participantes com diabetes no início do estudo, aqueles que relataram consumo excessivo de álcool ou com falta de informações sobre covariáveis relevantes e indivíduos com hepatite ou cirrose autorreferida. No total, 8.166 indivíduos participaram e o tempo médio de seguimento foi de 3,8 anos. O modelo de regressão proporcional de Cox foi utilizado para estimar a razão de risco (HR) ajustada para as associações. A ultrassonografia abdominal foi utilizada para detectar esteatose hepática. No período de seguimento, a incidência cumulativa de diabetes foi de 5,25% em todo o grupo de participantes e de 7,83% e 3,88% nos grupos com e sem esteatose hepática, respectivamente (p < 0,001). Em comparação com aqueles sem esteatose, os indivíduos com esteatose hepática apresentaram um risco elevado de desenvolver diabetes (HR = 1,31; IC95%: 1,09-1,56) após o ajuste para potenciais fatores de confusão, incluindo o índice de massa corporal (IMC). A esteatose hepática foi um preditor independente de diabetes incidente no ELSA-Brasil. Os médicos devem incentivar mudanças no estilo de vida e a triagem para diabetes para pacientes com fígado gorduroso.

La creciente evidencia epidemiológica sugiere una relación bidireccional entre la enfermedad del hígado graso no alcohólica (EHGNA) y la diabetes tipo 2 y que la EHGNA puede preceder y/o desarrollar la diabetes. El objetivo de este estudio fue investigar si la esteatosis hepática está asociada con la incidencia de diabetes en el Estudio Longitudinal de Salud del Adulto (ELSA-Brasil). ELSA-Brasil es un estudio de cohorte ocupacional, realizado con funcionarios públicos activos o jubilados, con edades entre 35 y 74 años, de seis capitales en Brasil. Se excluyeron a los participantes con diabetes al inicio del estudio, aquellos que informaron consumir excesivamente alcohol o que carecían de información sobre las covariables relevantes, y los individuos con hepatitis o cirrosis autorreportada. En total participaron 8.166 sujetos, y el tiempo medio de seguimiento fue de 3,8 años. Se utilizó el modelo de regresión proporcional de Cox para estimar la razón de riesgo ajustada (HR) en las asociaciones. Se realizó ecografía abdominal para detectar esteatosis hepática. En el periodo de seguimiento, el grupo de participantes tuvo incidencia acumulada de diabetes del 5,25%, y en los grupos con y sin esteatosis hepática fueron del 7,83% y el 3,88%, respectivamente (p < 0,001). Los individuos con enfermedad de hígado graso tuvieron mayor riesgo de desarrollar diabetes (HR = 1,31; IC95%: 1,09-1,56) después de ajustar los posibles factores de confusión, incluido el índice de masa corporal (IMC), en comparación con aquellos sin esteatosis. La esteatosis hepática fue un predictor independiente de diabetes incidente en ELSA-Brasil. Los médicos deben alentar cambios en el estilo de vida y la detección de diabetes a los pacientes con hígado graso.

A portrait of gestational diabetes mellitus in Brazil: A systematic review and meta-analysis

ABSTRACT The diagnostic criteria for gestational diabetes mellitus (GDM), a transient hyperglycemic state during pregnancy, has varied remarkably over time, resulting in a diversity of prevalence rates. The aim of this systematic literature review was to provide estimates of prevalence rates of GDM in Brazil according to different diagnostic criteria. We identified, reviewed, and extracted data from the scientific literature on studies estimating the prevalence of diabetes in pregnant women living in Brazil. The databases searched were PubMed, LILACS, SciELO, Embase, Web of Science, and Cochrane Library. We grouped studies by the source of information assessing GDM, patients' age, and criteria used to diagnose GDM. When three or more studies were available in a group, we calculated the pooled prevalence. The Joanna Briggs Institute (JBI) appraisal tool was used to assess the risk of bias. The data were reported according to the 2020 PRISMA recommendations. The study protocol was registered in PROSPERO. We identified 1,328 records and selected 21 studies involving 122,635 pregnant women. Studies in adults only, with primary data and laboratory measurements, and using the IADPSG criteria (n = 3) had a GDM prevalence of 18.0% (95% confidence interval [CI]: 16.0-20.1%) and included 6,243 participants. Estimates of self-reported GDM (n = 3; 10,136 participants of all ages) had a pooled GDM prevalence of 2.1% (95% CI: 1.5-5.2%), with high heterogeneity (I2 = 85.0%, p < 0.01). Studies including adolescents had consistently low prevalences. The prevalence of GDM in Brazil varied, was greater when the IADPSG criteria were applied, and depended on the methods used to obtain the GDM information and the age structure of the sample.

Patterns of metabolic syndrome and associated factors in women from the ELSA-Brasil: a latent class analysis approach / Padrões de síndrome metabólica e fatores associados em mulheres do ELSA-Brasil: uma abordagem com análise de classes latentes / Patrones del síndrome metabólico y factores asociados en mujeres del ELSA-Brasil: un enfoque con análisis de clases latentes

Abstract: This study aimed to identify patterns of metabolic syndrome among women and estimate their prevalence and relationship with sociodemographic and biological characteristics. In total, 5,836 women were evaluated using baseline data from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Patterns of metabolic syndrome were defined via latent class analysis, using the following metabolic abnormalities as indicators: abdominal obesity, hyperglycemia, hypertension, hypertriglyceridemia, and reduced HDL cholesterol. The relationship between these patterns and individual characteristics was assessed using latent class analysis with covariates. Three patterns of metabolic syndrome were identified: high metabolic expression, moderate metabolic expression, and low metabolic expression. The first two patterns represented most women (53.8%) in the study. Women with complete primary or secondary education and belonging to lower social classes were more likely to have higher metabolic expression. Black and mixed-race women were more likely to have moderate metabolic expression. Menopausal women aged 50 years and older were more often classified into patterns of greater health risk. This study addressed the heterogeneous nature of metabolic syndrome, identifying three distinct profiles for the syndrome among women. The combination of abdominal obesity, hyperglycemia, and hypertension represents the main metabolic profile found among ELSA-Brasil participants. Sociodemographic and biological factors were important predictors of patterns of metabolic syndrome.

Resumo: O objetivo foi identificar padrões de síndrome metabólica em mulheres, estimar suas prevalências e relações com características sociodemográficas e biológicas. Este estudo examinou 5.836 mulheres utilizando dados da linha de base do Estudo Longitudinal de Saúde do Adulto (ELSA-Brasil). Os padrões de síndrome metabólica foram definidos por meio de análise de classe latente, usando as seguintes anormalidades metabólicas como indicadores: obesidade abdominal, hiperglicemia, hipertensão, hipertrigliceridemia e colesterol HDL reduzido. As relações entre os padrões de síndrome metabólica e as características individuais foram avaliadas por meio da análise de classes latentes com covariáveis. Foram identificados três padrões de síndrome metabólica, denominados "alta expressão metabólica", "expressão metabólica moderada" e "baixa expressão metabólica". Os dois primeiros padrões representaram a maioria (53,8%) das mulheres do estudo. As mulheres com nível de escolaridade primário ou secundário e pertencentes à classe social baixa tiveram maior chance de apresentar maior expressão metabólica. Negros e pardos tiveram maior chance de apresentar "expressão metabólica moderada". Mulheres na menopausa com 50 anos ou mais apresentaram maior chance de ter padrões de maior risco à saúde. Este estudo abordou a natureza heterogênea da síndrome metabólica, identificando três perfis distintos para a síndrome entre as mulheres. A combinação de obesidade abdominal, hiperglicemia e hipertensão representa o principal perfil metabólico encontrado entre os participantes do ELSA-Brasil. Fatores sociodemográficos e biológicos foram importantes preditores para os padrões de síndrome metabólica.

Resumen: El objetivo fue identificar patrones del síndrome metabólico en mujeres, estimar sus prevalencias y relaciones con características sociodemográficas y biológicas. Este estudio examinó 5.836 mujeres utilizando datos de la línea de base del Estudio Longitudinal de Salud del Adulto (ELSA-Brasil). Los patrones de síndrome metabólico se definieron a través del análisis de clase latente, utilizando las siguientes anormalidades metabólicas como indicadores: obesidad abdominal, hiperglucemia, hipertensión, hipertrigliceridemia y colesterol HDL reducido. Las relaciones entre los patrones de síndrome metabólico y las características individuales se evaluaron a través del análisis de clases latentes con covariables. Se identificaron tres patrones de síndrome metabólico, denominados "alta expresión metabólica", "expresión metabólica moderada" y "baja expresión metabólica". Los primeros dos patrones representan la mayoría (el 53,8%) de las mujeres del estudio. Las mujeres que tenían un nivel de escolaridad primario o secundario y que pertenecían a la clase social baja tuvieron una mayor probabilidad de presentar una expresión metabólica más alta. Los negros y pardos tuvieron una probabilidad más alta de presentar "expresión metabólica moderada". Las mujeres en la menopausia que tenían 50 años o más presentaron una probabilidad más alta de tener patrones de mayor riesgo para la salud. Este estudio abordó la naturaleza heterogénea del síndrome metabólico, identificando tres perfiles diferentes para el síndrome entre las mujeres. La combinación de obesidad abdominal, hiperglucemia e hipertensión representa el principal perfil metabólico encontrado entre los participantes del ELSA-Brasil. Factores sociodemográficos y biológicos fueron importantes predictores para los patrones de síndrome metabólico.

Impact of socioeconomic factors on lifestyle changes among employees of public higher education institutions in ELSA-Brasil during COVID-19 pandemic / Impacto de fatores socioeconômicos na mudança do estilo de vida de funcionários de instituições públicas de Ensino Superior no ELSA-Brasil durante a pandemia de COVID-19 / Impacto de los factores socioeconómicos en el cambio del estilo de vida de los funcionarios en instituciones públicas de educación superior en ELSA-Brasil durante la pandemia de la COVID-19

Abstract: This study aimed to identify lifestyle changes and associated sociodemographic factors in women and men participating in the Brazilian Longitudinal Study for Adult Health (ELSA-Brasil) cohort during the COVID-19 pandemic. Longitudinal study with 3,776 (aged 58.8 years; SD ± 8.5) employees of public higher education institutions in the second follow-up and the wave-COVID of ELSA-Brasil. Data collected using structured questionnaires. An exploratory analysis was performed using binary and multinomial logistic regression on the dependent variables with two and three categories, respectively, by obtaining crude and adjusted odds ratio estimates in SPSS 20.0, considering a p-value < 0.05. There was a reduction in physical activity of 195.5 (SD ± 1,146.4) metabolic equivalents per week in women and 240.5 (SD ± 1,474.2) in men, and in smoking by 15.2%. There was an increase in alcohol consumption in men and women (434.2 ± 5,144.0; and 366.1 ± 4,879.0, respectively), in the food quality score (0.8 ± 3.7, women; 0.5 ± 3.7, men), sleeping time (0.4 ± 1.2, women; 0.5 ± 1.1, men), screen time (1.7 ± 2.4, women; 1.4 ± 2.3, men), and sitting time (1.7 ± 2.6, women; 1.5 ± 2.4, men) (hours/day). In total, 18.6% increased the purchase of ultra-processed foods and 36% increased the purchase of natural foods. Age and work activity contributed to increase the chance of purchasing ultra-processed foods, and age and adherence to social distancing influenced the shift to a more sedentary behavior, while income and active work favored the increase in alcoholic beverage consumption. These factors should be considered when developing public policies to avoid individual behaviors that are harmful to health during pandemics.

Resumo: O objetivo do estudo é identificar mudanças no estilo de vida e fatores sociodemográficos associados em mulheres e homens participantes da coorte Estudo Longitudinal da Saúde do Adulto (ELSA-Brasil) durante a pandemia de COVID-19. Estudo longitudinal com 3.776 (58,8 anos; DP ± 8,5) funcionários de instituições públicas de Ensino Superior no segundo acompanhamento e na onda COVID do ELSA-Brasil. Os dados foram coletados por meio de questionários estruturados. Foi realizada análise exploratória por meio de regressão logística binária e multinomial nas variáveis dependentes com duas e três categorias, respectivamente, obtendo-se estimativas brutas e ajustadas de odds ratio no SPSS 20.0, considerando um valor de p < 0,05. Houve redução da atividade física de 195,5 (DP ± 1.146,4) equivalentes metabólicos por semana nas mulheres e de 240,5 (DP ± 1.474,2) nos homens, e do tabagismo de 15,2%. Houve aumento do consumo de álcool em homens e mulheres (434,2 ± 5.144,0 e 366,1 ± 4.879,0, respectivamente), do escore de qualidade alimentar (0,8 ± 3,7, mulheres; 0,5 ± 3,7, homens), do tempo de sono (0,4 ± 1,2, mulheres; 0,5 ± 1,1, homens), do tempo de tela (1,7 ± 2,4, mulheres; 1,4 ± 2,3, homens) e do tempo sentado (1,7 ± 2,6, mulheres; 1,5 ± 2,4, homens) (horas/dia). Além disso, 18,6% aumentaram a compra de alimentos ultraprocessados e 36% aumentaram a compra de alimentos naturais. A idade e a atividade laboral contribuíram para aumentar a chance de compra de alimentos ultraprocessados, e a idade e a adesão ao distanciamento social influenciaram a mudança para um comportamento mais sedentário, enquanto a renda e o trabalho ativo favoreceram o aumento do consumo de bebidas alcoólicas. Estes fatores devem ser considerados na elaboração de políticas públicas a fim de evitar comportamentos individuais deletérios à saúde em períodos de pandemia.

Resumen: El objetivo de este estudio es identificar los cambios en el estilo de vida y los factores sociodemográficos asociados en mujeres y hombres que participan en la cohorte Estudio Longitudinal de Salud del Adulto en Brasil (ELSA-Brasil) durante la pandemia de la COVID-19. Estudio longitudinal con 3.776 (58,8 años; DE ± 8,5) funcionarios en instituciones públicas de educación superior en el segundo seguimiento y en la ola COVID de ELSA-Brasil. Los datos se recopilaron de cuestionarios estructurados. El análisis exploratorio se realizó mediante regresión logística binaria y multinomial en variables dependientes con dos y tres categorías, respectivamente, en la cual se obtuvieron estimaciones brutas y ajustadas de odds ratios en SPSS 20.0, teniendo en cuenta un valor de p < 0,05. Hubo una reducción en la actividad física de 195,5 (DE ± 1.146,4) equivalentes metabólicos por semana en mujeres y de 240,5 (DE ± 1.474,2) en hombres, y del tabaquismo del 15,2%. Hubo un aumento en el consumo de alcohol en hombres y mujeres (434,2 ± 5.144,0 y 366,1 ± 4.879,0, respectivamente), en el puntaje de calidad de los alimentos (0,8 ± 3,7, mujeres; 0,5 ± 3,7, hombres), en el tiempo de sueño (0,4 ± 1,2, mujeres; 0,5 ± 1,1, hombres), en el tiempo frente a la pantalla (1,7 ± 2,4, mujeres; 1,4 ± 2,3, hombres) y en el tiempo sentado (1,7 ± 2,6, mujeres; 1,5 ± 2,4, hombres) (horas/día). Además, el 18,6% aumentó la compra de alimentos ultraprocesados y el 36% la compra de alimentos.

Classifying Germinal Center Derived Lymphomas-Navigate a Complex Transcriptional Landscape.

Classification of lymphoid neoplasms is based mainly on histologic, immunologic, and (rarer) genetic features. It has been supplemented by gene expression profiling (GEP) in the last decade. Despite the considerable success, particularly in associating lymphoma subtypes with specific transcriptional programs and classifier signatures of up- or downregulated genes, competing molecular classifiers were often proposed in the literature by different groups for the same classification tasks to distinguish, e.g., BL versus DLBCL or different DLBCL subtypes. Moreover, rarer sub-entities such as MYC and BCL2 "double hit lymphomas" (DHL), IRF4-rearranged large cell lymphoma (IRF4-LCL), and Burkitt-like lymphomas with 11q aberration pattern (mnBLL-11q) attracted interest while their relatedness regarding the major classes is still unclear in many respects. We explored the transcriptional landscape of 873 lymphomas referring to a wide spectrum of subtypes by applying self-organizing maps (SOM) machine learning. The landscape reveals a continuum of transcriptional states activated in the different subtypes without clear-cut borderlines between them and preventing their unambiguous classification. These states show striking parallels with single cell gene expression of the active germinal center (GC), which is characterized by the cyclic progression of B-cells. The expression patterns along the GC trajectory are discriminative for distinguishing different lymphoma subtypes. We show that the rare subtypes take intermediate positions between BL, DLBCL, and FL as considered by the 5th edition of the WHO classification of haemato-lymphoid tumors in 2022. Classifier gene signatures extracted from these states as modules of coregulated genes are competitive with literature classifiers. They provide functional-defined classifiers with the option of consenting redundant classifiers from the literature. We discuss alternative classification schemes of different granularity and functional impact as possible avenues toward personalization and improved diagnostics of GC-derived lymphomas.