Prevalence of Frailty in European Emergency Departments (FEED): an international flash mob study

Introduction Current emergency care systems are not optimized to respond to multiple and complex problems associated with frailty. Services may require reconfiguration to effectively deliver comprehensive frailty care, yet its prevalence and variation are poorly understood. This study primarily determined the prevalence of frailty among older people attending emergency care. Methods This cross-sectional study used a flash mob approach to collect observational European emergency care data over a 24-h period (04 July 2023). Sites were identified through the European Task Force for Geriatric Emergency Medicine collaboration and social media. Data were collected for all individuals aged 65 + who attended emergency care, and for all adults aged 18 + at a subset of sites. Variables included demographics, Clinical Frailty Scale (CFS), vital signs, and disposition. European and national frailty prevalence was determined with proportions with each CFS level and with dichotomized CFS 5 + (mild or more severe frailty). Results Sixty-two sites in fourteen European countries recruited five thousand seven hundred eighty-five individuals. 40% of 3479 older people had at least mild frailty, with countries ranging from 26 to 51%. They had median age 77 (IQR, 13) years and 53% were female. Across 22 sites observing all adult attenders, older people living with frailty comprised 14%. Conclusion 40% of older people using European emergency care had CFS 5 + . Frailty prevalence varied widely among European care systems. These differences likely reflected entrance selection and provide windows of opportunity for system configuration and workforce planning

Investigation method for cascading effects between critical infrastructures

This paper presents an investigation method for studying cascading effects in incidents, which is to some extent lacking in the scientific literature. Several incident investigation methods are reviewed and used to influence the presented method. The usefulness of the method is demonstrated in a case study for a recent event in Sweden, a severe flooding event in the city of Malmö in south of Sweden 31st of August 2014. The case study revealed that the method enables the gathering and structuring of information about cascading effects and conditions that affect the outcome of cascading effects. An advantage of the method is that it also captures aggravating or mitigating conditions as well as potential cascading effects, enabling the study of near misses and alternative scenario developments. Concluding that the method has proven its practical value and it fills a current gap when it comes to investigation methods focused on cascading effects

Biorremediação de solo contaminado por isobutanol, Bis-2-etil-hexilftalato e Di-isodecilftalato

Embora os ftalatos sejam um dos poluentes mais frequentemente encontrados no meio ambiente, há escassez de dados na literatura sobre biorremediação de solos tropicais contaminados por esses compostos. Por esse motivo, este estudo avaliou a biorremediação de um solo contaminado com os plastificantes DEHP (Bis-2-etilhexilftalato), DIDP (Di-isodecilftalato) e álcool isobutílico, por uma indústria no Estado de São Paulo. A biorremediação ocorreu pela utilização de microrganismos presentes no solo e pela adição de inóculo adaptado em reator em fase de lama. O reator foi monitorado durante 120 dias, sendo corrigida apenas a umidade do solo. Os resultados indicaram que a biodegradação dos ftalatos seguiu uma cinética de primeira ordem e a biorremediação ocorreu na faixa de pH entre 7,4 e 8,4 e temperaturas entre 17 e 25 ºC, com eficiência de remoção de contaminantes acima de 70 %. Após 120 dias, o teor de DEHP estava abaixo de 4 mg kg-1, limite estipulado pela legislação brasileira para solo de uso residencial

Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps

We expanded GWAS discovery for type 2 diabetes (T2D) by combining data from 898,130 European-descent individuals (9% cases), after imputation to high-density reference panels. With these data, we (i) extend the inventory of T2D-risk variants (243 loci, 135 newly implicated in T2D predisposition, comprising 403 distinct association signals); (ii) enrich discovery of lower-frequency risk alleles (80 index variants with minor allele frequency <5%, 14 with estimated allelic odds ratio >2); (iii) substantially improve fine-mapping of causal variants (at 51 signals, one variant accounted for >80% posterior probability of association (PPA)); (iv) extend fine-mapping through integration of tissue-specific epigenomic information (islet regulatory annotations extend the number of variants with PPA >80% to 73); (v) highlight validated therapeutic targets (18 genes with associations attributable to coding variants); and (vi) demonstrate enhanced potential for clinical translation (genome-wide chip heritability explains 18% of T2D risk; individuals in the extremes of a T2D polygenic risk score differ more than ninefold in prevalence). © 2018, The Author(s), under exclusive licence to Springer Nature America, Inc

Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation.

We assembled an ancestrally diverse collection of genome-wide association studies (GWAS) of type 2 diabetes (T2D) in 180,834 affected individuals and 1,159,055 controls (48.9% non-European descent) through the Diabetes Meta-Analysis of Trans-Ethnic association studies (DIAMANTE) Consortium. Multi-ancestry GWAS meta-analysis identified 237 loci attaining stringent genome-wide significance (P < 5 × 10-9), which were delineated to 338 distinct association signals. Fine-mapping of these signals was enhanced by the increased sample size and expanded population diversity of the multi-ancestry meta-analysis, which localized 54.4% of T2D associations to a single variant with >50% posterior probability. This improved fine-mapping enabled systematic assessment of candidate causal genes and molecular mechanisms through which T2D associations are mediated, laying the foundations for functional investigations. Multi-ancestry genetic risk scores enhanced transferability of T2D prediction across diverse populations. Our study provides a step toward more effective clinical translation of T2D GWAS to improve global health for all, irrespective of genetic background

Search for Diphoton Events with Large Missing Transverse Energy in 7 TeV Proton-Proton Collisions with the ATLAS Detector

A search for diphoton events with large missing transverse energy is presented. The data were collected with the ATLAS detector in proton-proton collisions at √s=7  [square root of s=7] TeV at the CERN Large Hadron Collider and correspond to an integrated luminosity of 3.1  pb-1 [pb superscript -1]. No excess of such events is observed above the standard model background prediction. In the context of a specific model with one universal extra dimension with compactification radius R and gravity-induced decays, values of 1/R<729  GeV are excluded at 95% C. L., providing the most sensitive limit on this model to date.United States. Dept. of EnergyNational Science Foundation (U.S.

Measurement of the isolated diphoton cross-section in pp collisions at sqrt(s) = 7 TeV with the ATLAS detector

The ATLAS experiment has measured the production cross-section of events with two isolated photons in the final state, in proton-proton collisions at sqrt(s) = 7 TeV. The full data set acquired in 2010 is used, corresponding to an integrated luminosity of 37 pb^-1. The background, consisting of hadronic jets and isolated electrons, is estimated with fully data-driven techniques and subtracted. The differential cross-sections, as functions of the di-photon mass, total transverse momentum and azimuthal separation, are presented and compared to the predictions of next-to-leading-order QCD.Comment: 15 pages plus author list (27 pages total), 9 figures, 2 tables, final version to appear in Physical Review