Sosakramer9187

To assess edentulism-free life expectancy (EFLE) and the related inequalities by sex and schooling among older Brazilian adults from 2006 to 2016.

Tooth loss is related to shortened longevity and unhealthy life expectancy in old age.

The outcome of the study was EFLE, assessed by age, sex and schooling. EFLE was estimated using the Sullivan method, considering the years and proportion of remaining life and the prevalence of edentulism-assessed in the Health, Well-being, and Aging cohort study, as well as the official mortality data for adults aged 60years or older living in São Paulo, Brazil.

EFLE increased from 10.9 (95% CI 10.4-11.5) to 13.8 (95% CI 13.2-14.5) years, considering data from 2006 to 2016, among 60-year-old individuals. In relative terms, these individuals expected to live 50.7% (95% CI 48.1-53.2) of their remaining life free of edentulism in 2006, while this expectation was 62.8% (95% CI 60.0-65.6) in 2016. Within both years, women and the less educated had lower EFLE than men and the higher educated.

EFLE increased from 2006 to 2016. However, inequalities concerning sex and education remained significant, thereby highlighting the need to continuously address inequalities in tooth loss throughout life to contribute to a healthy ageing.

EFLE increased from 2006 to 2016. However, inequalities concerning sex and education remained significant, thereby highlighting the need to continuously address inequalities in tooth loss throughout life to contribute to a healthy ageing.A new inter-governmental research infrastructure, ELIXIR, aims to unify bioinformatics resources and life science data across Europe, thereby facilitating their mining and (re-)use.Global spread of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is still ongoing. Before an effective vaccine is available, the development of potential treatments for resultant coronavirus disease 2019 (COVID-19) is crucial. One of the disease hallmarks is hyper-inflammatory responses, which usually leads to a severe lung disease. Patients with COVID-19 also frequently suffer from neurological symptoms such as acute diffuse encephalomyelitis, brain injury and psychiatric complications. The metabolic pathway of sphingosine-1-phosphate (S1P) is a dynamic regulator of various cell types and disease processes, including the nervous system. It has been demonstrated that S1P and its metabolic enzymes, regulating neuroinflammation and neurogenesis, exhibit important functions during viral infection. S1P receptor 1 (S1PR1) analogues including AAL-R and RP-002 inhibit pathophysiological responses at the early stage of H1N1 virus infection and then play a protective role. Fingolimod (FTY720) is an S1P receptor modulator and is being tested for treating COVID-19. Our review provides an overview of SARS-CoV-2 infection and critical role of the SphK-S1P-SIPR pathway in invasion of SARS-CoV-2 infection, particularly in the central nervous system (CNS). This may help design therapeutic strategies based on the S1P-mediated signal transduction, and the adjuvant therapeutic effects of S1P analogues to limit or prevent the interaction between the host and SARS-CoV-2, block the spread of the SARS-CoV-2, and consequently treat related complications in the CNS.High proportion of patients with multiple myeloma suffer from comorbidities which may alter clinical management. Therefore, our aims were to evaluate the prevalence of comorbidities and their impact on survival. We included patients diagnosed with multiple myeloma 1990-2013 in Sweden and all diagnoses from each patient from 1985. A total of 13 656 patients with multiple myeloma were included in the study, thereof 7404 (54%) had comorbidity at diagnosis. The risk of death was increased for those with one comorbidity at diagnosis compared to those without any comorbidity (hazard ratio = 1.19; 95% confidence interval1.14-1.25); this risk was higher for those with two (1.38; 1.30-1.47) and three or more comorbidities (1.72; 1.62-1.83). Furthermore, the risk of death was increased in patients with prior history of cancer, arrhythmia, heart failure, diabetes mellitus, cerebrovascular disease, chronic lung disease, psychological disease, peptic ulcer, neurological disease, peripheral vascular disease, chronic kidney disease, dementia, and inflammatory bowel disease. learn more This large study shows that over 50% of multiple myeloma patients have a comorbidity at diagnosis and survival decreased with increasing numbers of comorbidities. This emphasizes the importance of comorbidities when evaluating patients and deciding on treatment strategies for individuals with multiple myeloma.

Adult congenital heart disease (ACHD) is a highly underrepresented entity in medical literature, especially in the middle-eastern region.

This study is the first to assess the prevalence of adult congenital heart disease among the population of Kuwait.

After a retrospective register review of patients in Kuwait being followed up in the chest diseases hospital was conducted, patients who fit the inclusion criteria were enrolled in the study. Using the American College of Cardiology Task Force 1 of the 32nd Bethesda conference classification of the severity of ACHD, the patients were classified into those with simple, moderate, and complex congenital heart diseases. The age and gender of the patients, as well as the type repair performed, and the residual cardiac findings were recorded to assess the association between the complexity and residuals. Associations were assessed using STATA 15.

A total of 611 patients were evaluated over a period of 18 months. The youngest participant was 20 years of age, athe most prevalent defect in the moderate group; and DORV was the most prevalent in the complex group. Patients with moderate ACHD tended to have a more complete repair than those in the complex group.

First database of adult congenital heart disease in Kuwait. The most prevalent heart defect was ASD in Kuwait. TOF was the most prevalent defect in the moderate group; and DORV was the most prevalent in the complex group. Patients with moderate ACHD tended to have a more complete repair than those in the complex group.Deep learning can detect microsatellite instability (MSI) from routine histology images in colorectal cancer (CRC). However, ethical and legal barriers impede sharing of images and genetic data, hampering development of new algorithms for detection of MSI and other biomarkers. We hypothesized that histology images synthesized by conditional generative adversarial networks (CGANs) retain information about genetic alterations. To test this, we developed a 'histology CGAN' which was trained on 256 patients (training cohort 1) and 1457 patients (training cohort 2). The CGAN synthesized 10 000 synthetic MSI and non-MSI images which contained a range of tissue types and were deemed realistic by trained observers in a blinded study. Subsequently, we trained a deep learning detector of MSI on real or synthetic images and evaluated the performance of MSI detection in a held-out set of 142 patients. When trained on real images from training cohort 1, this system achieved an area under the receiver operating curve (AUROC) of 0.742 [0.681, 0.854]. Training on the larger cohort 2 only marginally improved the AUROC to 0.757 [0.707, 0.869]. Training on purely synthetic data resulted in an AUROC of 0.743 [0.658, 0.801]. Training on both real and synthetic data further increased AUROC to 0.777 [0.715, 0.821]. We conclude that synthetic histology images retain information reflecting underlying genetic alterations in colorectal cancer. Using synthetic instead of real images to train deep learning systems yields non-inferior classifiers. This approach can be used to create large shareable data sets or to augment small data sets with rare molecular features. © 2021 The Authors. The Journal of Pathology published by John Wiley & Sons, Ltd. on behalf of The Pathological Society of Great Britain and Ireland.

The leading causes of mortality globally in children younger than five years of age (under-fives), and particularly in the regions of sub-Saharan Africa (SSA) and Southern Asia, in 2018 were infectious diseases, including pneumonia (15%), diarrhoea (8%), malaria (5%) and newborn sepsis (7%) (UNICEF 2019). Nutrition-related factors contributed to 45% of under-five deaths (UNICEF 2019). World Health Organization (WHO) and United Nations Children's Fund (UNICEF), in collaboration with other development partners, have developed an approach - now known as integrated community case management (iCCM) - to bring treatment services for children 'closer to home'. The iCCM approach provides integrated case management services for two or more illnesses - including diarrhoea, pneumonia, malaria, severe acute malnutrition or neonatal sepsis - among under-fives at community level (i.e. outside of healthcare facilities) by lay health workers where there is limited access to health facility-based case management services (Wealth facilities, mortality or adverse events for this comparison.

iCCM probably increases coverage of careseeking to an appropriate provider for any iCCM illness. However, the evidence presented here underscores the importance of moving beyond training and deployment to valuing iCCM providers, strengthening health systems and engaging community systems.

iCCM probably increases coverage of careseeking to an appropriate provider for any iCCM illness. However, the evidence presented here underscores the importance of moving beyond training and deployment to valuing iCCM providers, strengthening health systems and engaging community systems.Ecologically relevant traits of organisms in an assemblage determine an ecosystem's functional fingerprint (i.e., the shape, size, and position of multidimensional trait space). Quantifying changes in functional fingerprints can therefore provide information about the effects of diversity loss or gain through time on ecosystem condition and is a promising approach to monitoring ecological integrity. This, however, is seldom possible owing to limitations in historical surveys and a lack of data on organismal traits, particularly in diverse tropical regions. Using data from detailed bird surveys from 4 periods across more than a century, and morphological and ecological traits of 233 species, we quantified changes in the avian functional fingerprint of a tropical montane forest in the Andes of Colombia. We found that 78% of the variation in functional space, regardless of period, was described by 3 major axes summarizing body size, dispersal ability (indexed by wing shape), and habitat breadth. Changes in speciersal ability, and greater habitat specialization. Article impact statement Changes in functional fingerprints provide a means to quantify the integrity of ecological assemblages affected by diversity loss or gain.

To describe the developmentand feasibility of a preference elicitation instrument, OABCare, using choice-based adaptive conjoint analysis (ACA) among patients with overactive bladder (OAB).

This was a two-phase study. In Phase 1, an extensive literature review along with patient and provider focus groups yielded the attributes and levels for our OABCare instrument. The hierarchical Bayesian random-effects model generated utilities and mean relative importance scores of treatment attributes. Phase 2 consisted of a cohort study to assess the association between OAB treatment uptake and treatment attributes elicited from OABCare, using generalized linear models.

Literature reviewand provider and patient focus groups in Phase 1 yielded themes related to OAB management that were used to develop 11 attributes for the ACA instrument. For Phase 2 of the study, 108 patients were recruited who completed the OABCare instrument. Results showed that the top five attributes with the highest mean utility values were caregiver burden, impaired bladder function, social interaction constraints, treatment side effects, and use of pads.