446 research outputs found

    Phoenix: A CubeSat Mission to Study the Impact of Urban Heat Islands Within the U.S.

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    Phoenix is a student-led CubeSat mission, developed at Arizona State University (ASU), to study the effects of Urban Heat Islands in several U.S. cities through infrared remote sensing and educate students on space mission design. The spacecraft is designed using commercial off-the-shelf components (COTS) and several custom support boards developed by the student team. As such, the student team was responsible for the design, test, and validation of the spacecraft to demonstrate the capability of using COTS hardware to conduct high-fidelity science. This paper details the mission’s concept of operations, as well as the spacecraft and ground system design that was developed to complete the mission objective. In addition, it details the mission’s current status now that Phoenix has entered the operations phase, along with resources which have proved beneficial to the team while working with the spacecraft in orbit

    Novel deep targeted sequencing method for minimal residual disease monitoring in acute myeloid leukemia

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    A high proportion of patients with acute myeloid leukemia who achieve minimal residual disease (MRD) negative status ultimately relapse because a fraction of pathological clones remains undetected by standard methods. We designed and validated a high-throughput sequencing method for MRD assessment of cell clonotypes with mutations of NPM1, IDH1/2 and/or FLT3-SNVs. For clinical validation, 106 follow-up samples from 63 patients in complete remission were studied by NGS, evaluating the level of mutations detected at diagnosis. The predictive value of MRD status by NGS, multiparameter flow cytometry, or quantitative PCR was determined by survival analysis. The method achieved a sensitivity of 10-4 for SNV mutations and 10-5 for insertions/deletions and could be used in acute myeloid leukemia patients who carry any mutation (86% in our diagnosis data set). NGS-determined MRD positive status was associated with lower disease-free survival (hazard ratio [HR] 3.4, p=0.005) and lower overall survival (HR 4.2, p<0.001). Multivariate analysis showed that MRD positive status by NGS was an independent factor associated with risk of death (HR 4.54, p =0.005) and the only independent factor conferring risk of relapse (HR 3.76, p =0.012). This NGS based method simplifies and standardizes MRD evaluation, with high applicability in acute myeloid leukemia. It also improves upon flow cytometry and quantitative PCR to predict acute myeloid leukemia outcome and could be incorporated in clinical settings and clinical trials.This study was supported by the SubdirecciĂłn General de InvestigaciĂłn Sanitaria (Instituto de Salud Carlos III, Spain) grants PI13/02387 and PI16/01530, and the CRIS against Cancer foundation grant 2014/0120. M.L. holds a postdoctoral fellowship of the Spanish Ministry of Economy and Competitiveness (FPDI-2013-16409). P.R.P. holds a postdoctoral fellowship of the Spanish of Instituto de Salud Carlos III: Contrato Predoctoral de FormaciĂłn en InvestigaciĂłn en Salud i-PFIS (IFI 14/00008).S

    Ultrahigh Energy Neutrinos at the Pierre Auger Observatory

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    The observation of ultrahigh energy neutrinos (UHEÎœs) has become a priority in experimental astroparticle physics. UHEÎœs can be detected with a variety of techniques. In particular, neutrinos can interact in the atmosphere (downward-going Îœ) or in the Earth crust (Earth-skimming Îœ), producing air showers that can be observed with arrays of detectors at the ground. With the surface detector array of the Pierre Auger Observatory we can detect these types of cascades. The distinguishing signature for neutrino events is the presence of very inclined showers produced close to the ground (i.e., after having traversed a large amount of atmosphere). In this work we review the procedure and criteria established to search for UHEÎœs in the data collected with the ground array of the Pierre Auger Observatory. This includes Earth-skimming as well as downward-going neutrinos. No neutrino candidates have been found, which allows us to place competitive limits to the diffuse flux of UHEÎœs in the EeV range and above.Fil: Allekotte, Ingomar. ComisiĂłn Nacional de EnergĂ­a AtĂłmica. Gerencia del Area InvestigaciĂłn y Aplicaciones No Nucleares. Gerencia de FĂ­sica (Centro AtĂłmico Bariloche). Grupo de PartĂ­culas y Campos; Argentina. ComisiĂłn Nacional de EnergĂ­a AtĂłmica. Centro AtĂłmico Bariloche; Argentina. ComisiĂłn Nacional de EnergĂ­a AtĂłmica. Gerencia del Area de EnergĂ­a Nuclear. Instituto Balseiro; ArgentinaFil: Almela, Daniel Alejandro. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Oficina de CoordinaciĂłn Administrativa Parque Centenario. Instituto de TecnologĂ­as en DetecciĂłn y AstropartĂ­culas; ArgentinaFil: Asorey, HernĂĄn Gonzalo. ComisiĂłn Nacional de EnergĂ­a AtĂłmica. Gerencia del Area InvestigaciĂłn y Aplicaciones No Nucleares. Gerencia de FĂ­sica (Centro AtĂłmico Bariloche). Grupo de PartĂ­culas y Campos; Argentina. ComisiĂłn Nacional de EnergĂ­a AtĂłmica. Centro AtĂłmico Bariloche; Argentina. ComisiĂłn Nacional de EnergĂ­a AtĂłmica. Gerencia del Area de EnergĂ­a Nuclear. Instituto Balseiro; ArgentinaFil: Bertou, Xavier Pierre Louis. ComisiĂłn Nacional de EnergĂ­a AtĂłmica. Gerencia del Area InvestigaciĂłn y Aplicaciones No Nucleares. Gerencia de FĂ­sica (Centro AtĂłmico Bariloche). Grupo de PartĂ­culas y Campos; Argentina. ComisiĂłn Nacional de EnergĂ­a AtĂłmica. Centro AtĂłmico Bariloche; Argentina. ComisiĂłn Nacional de EnergĂ­a AtĂłmica. Gerencia del Area de EnergĂ­a Nuclear. Instituto Balseiro; ArgentinaFil: Dasso, Sergio Ricardo. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Oficina de CoordinaciĂłn Administrativa Ciudad Universitaria. Instituto de AstronomĂ­a y FĂ­sica del Espacio(i); Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de FĂ­sica; ArgentinaFil: de la Vega, Gonzalo AndrĂ©s. Universidad TecnolĂłgica Nacional. Facultad Regional de Mendoza; ArgentinaFil: Dova, Maria Teresa. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico - CONICET - La Plata. Instituto de FĂ­sica La Plata; ArgentinaFil: Etchegoyen, Alberto. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Oficina de CoordinaciĂłn Administrativa Parque Centenario. Instituto de TecnologĂ­as en DetecciĂłn y AstropartĂ­culas; ArgentinaFil: Filevich, Alberto. ComisiĂłn Nacional de EnergĂ­a AtĂłmica. Gerencia del Area de Investigaciones y Aplicaciones No Nucleares. Gerencia FĂ­sica (Centro AtĂłmico Constituyentes); Argentina. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Oficina de CoordinaciĂłn Administrativa Parque Centenario. Instituto de TecnologĂ­as en DetecciĂłn y AstropartĂ­culas; ArgentinaFil: Gamarra, R. F.. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Oficina de CoordinaciĂłn Administrativa Parque Centenario. Instituto de TecnologĂ­as en DetecciĂłn y AstropartĂ­culas; ArgentinaFil: Garcia, Beatriz Elena. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Oficina de CoordinaciĂłn Administrativa Parque Centenario. Instituto de TecnologĂ­as en DetecciĂłn y AstropartĂ­culas; Argentina. Universidad TecnolĂłgica Nacional. Facultad Regional de Mendoza; ArgentinaFil: Gitto, J.. Universidad TecnolĂłgica Nacional. Facultad Regional de Mendoza; ArgentinaFil: Golup, Geraldina Tamara. ComisiĂłn Nacional de EnergĂ­a AtĂłmica. Gerencia del Area de Investigaciones y Aplicaciones No Nucleares. Gerencia FĂ­sica (Centro AtĂłmico Constituyentes); Argentina. ComisiĂłn Nacional de EnergĂ­a AtĂłmica. Centro AtĂłmico Bariloche; Argentina. ComisiĂłn Nacional de EnergĂ­a AtĂłmica. Gerencia del Area de EnergĂ­a Nuclear. Instituto Balseiro; ArgentinaFil: Gomez Albarracin, Flavia Alejandra. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico - CONICET - La Plata. Instituto de FĂ­sica La Plata; ArgentinaFil: Gomez Berisso, Mariano. ComisiĂłn Nacional de EnergĂ­a AtĂłmica. Gerencia del Area de InvestigaciĂłn y Aplicaciones No Nucleares. Gerencia de FĂ­sica (Centro AtĂłmico Bariloche); Argentina. ComisiĂłn Nacional de EnergĂ­a AtĂłmica. Centro AtĂłmico Bariloche; Argentina. ComisiĂłn Nacional de EnergĂ­a AtĂłmica. Gerencia del Area de EnergĂ­a Nuclear. Instituto Balseiro; ArgentinaFil: Guardincerri, Yann. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de FĂ­sica; ArgentinaFil: Hansen, Patricia Maria. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico - CONICET - La Plata. Instituto de FĂ­sica La Plata; ArgentinaFil: Harari, Diego Dario. ComisiĂłn Nacional de EnergĂ­a AtĂłmica. Gerencia del Area de Investigaciones y Aplicaciones No Nucleares. Gerencia FĂ­sica (Centro AtĂłmico Constituyentes); Argentina. ComisiĂłn Nacional de EnergĂ­a AtĂłmica. Centro AtĂłmico Bariloche; Argentina. ComisiĂłn Nacional de EnergĂ­a AtĂłmica. Gerencia del Area de EnergĂ­a Nuclear. Instituto Balseiro; ArgentinaFil: Jarne, Cecilia Gisele. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico - CONICET - La Plata. Instituto de FĂ­sica La Plata; ArgentinaFil: Josebachuili Ogando, Mariela Gisele. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Oficina de CoordinaciĂłn Administrativa Parque Centenario. Instituto de TecnologĂ­as en DetecciĂłn y AstropartĂ­culas; ArgentinaFil: Lucero, Luis Agustin. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Oficina de CoordinaciĂłn Administrativa Parque Centenario. Instituto de TecnologĂ­as en DetecciĂłn y AstropartĂ­culas; ArgentinaFil: Mariazzi, Analisa Gabriela. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico - CONICET - La Plata. Instituto de FĂ­sica La Plata; ArgentinaFil: Melo, Diego Gabriel. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Oficina de CoordinaciĂłn Administrativa Parque Centenario. Instituto de TecnologĂ­as en DetecciĂłn y AstropartĂ­culas; ArgentinaFil: Micheletti, Maria Isabel. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico - CONICET - Rosario. Instituto de Fisica de Rosario (i); ArgentinaFil: Mollerach, Maria Silvia. ComisiĂłn Nacional de EnergĂ­a AtĂłmica. Gerencia del Area de Investigaciones y Aplicaciones No Nucleares. Gerencia FĂ­sica (Centro AtĂłmico Constituyentes); Argentina. ComisiĂłn Nacional de EnergĂ­a AtĂłmica. Centro AtĂłmico Bariloche; Argentina. ComisiĂłn Nacional de EnergĂ­a AtĂłmica. Gerencia del Area de EnergĂ­a Nuclear. Instituto Balseiro; ArgentinaFil: Moreno, Juan Cruz. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico - CONICET - La Plata. Instituto de FĂ­sica La Plata; ArgentinaFil: Pallotta, Juan Vicente. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Unidad de InvestigaciĂłn y Desarrollo EstratĂ©gicos para la Defensa; Argentina. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Instituto de Investigaciones CientĂ­ficas y TĂ©cnicas para la Defensa. Centro de InvestigaciĂłn en LĂĄseres y Aplicaciones; ArgentinaFil: Piegaia, Ricardo Nestor. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico - CONICET - La Plata. Instituto de FĂ­sica La Plata; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de FĂ­sica; ArgentinaFil: Pieroni, Pablo Emanuel. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de FĂ­sica; ArgentinaFil: Platino, Manuel. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Oficina de CoordinaciĂłn Administrativa Parque Centenario. Instituto de TecnologĂ­as en DetecciĂłn y AstropartĂ­culas; ArgentinaFil: Ponce, Victor Hugo. Universidad Nacional de Cuyo; Argentina. ComisiĂłn Nacional de EnergĂ­a AtĂłmica. Centro AtĂłmico Bariloche; Argentina. ComisiĂłn Nacional de EnergĂ­a AtĂłmica. Gerencia del Area de EnergĂ­a Nuclear. Instituto Balseiro; ArgentinaFil: Quel, Eduardo Jaime. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Unidad de InvestigaciĂłn y Desarrollo EstratĂ©gicos para la Defensa; Argentina. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Instituto de Investigaciones CientĂ­ficas y TĂ©cnicas para la Defensa. Centro de InvestigaciĂłn en LĂĄseres y Aplicaciones; ArgentinaFil: Ravignani Guerrero, Diego. ComisiĂłn Nacional de EnergĂ­a AtĂłmica; Argentina. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Oficina de CoordinaciĂłn Administrativa Parque Centenario. Instituto de TecnologĂ­as en DetecciĂłn y AstropartĂ­culas; ArgentinaFil: Ristori, Pablo Roberto. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Unidad de InvestigaciĂłn y Desarrollo EstratĂ©gicos para la Defensa; Argentina. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Instituto de Investigaciones CientĂ­ficas y TĂ©cnicas para la Defensa. Centro de InvestigaciĂłn en LĂĄseres y Aplicaciones; ArgentinaFil: Roulet, Esteban. ComisiĂłn Nacional de EnergĂ­a AtĂłmica. Gerencia del Area de InvestigaciĂłn y Aplicaciones No Nucleares. Gerencia de FĂ­sica (Centro AtĂłmico Bariloche); ArgentinaFil: Rovero, Adrian Carlos. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Oficina de CoordinaciĂłn Administrativa Ciudad Universitaria. Instituto de AstronomĂ­a y FĂ­sica del Espacio(i); Argentina. ComisiĂłn Nacional de EnergĂ­a AtĂłmica. Centro AtĂłmico Bariloche; Argentina. ComisiĂłn Nacional de EnergĂ­a AtĂłmica. Gerencia del Area de EnergĂ­a Nuclear. Instituto Balseiro; ArgentinaFil: Sanchez, Federico AndrĂ©s. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Oficina de CoordinaciĂłn Administrativa Parque Centenario. Instituto de TecnologĂ­as en DetecciĂłn y AstropartĂ­culas; ArgentinaFil: Sciutto, Sergio Juan. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico - CONICET - La Plata. Instituto de FĂ­sica La Plata; ArgentinaFil: Sidelnik, IvĂĄn Pedro. ComisiĂłn Nacional de EnergĂ­a AtĂłmica. Gerencia del Area InvestigaciĂłn y Aplicaciones No Nucleares. Gerencia de FĂ­sica (Centro AtĂłmico Bariloche). Grupo de PartĂ­culas y Campos; Argentina. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Oficina de CoordinaciĂłn Administrativa Parque Centenario. Instituto de TecnologĂ­as en DetecciĂłn y AstropartĂ­culas; ArgentinaFil: Suarez, Federico. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Oficina de CoordinaciĂłn Administrativa Parque Centenario. Instituto de TecnologĂ­as en DetecciĂłn y AstropartĂ­culas; ArgentinaFil: Supanitsky, Alberto Daniel. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Oficina de CoordinaciĂłn Administrativa Ciudad Universitaria. Instituto de AstronomĂ­a y FĂ­sica del Espacio(i); ArgentinaFil: Tapia Casanova, Alex Marcelo. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Oficina de CoordinaciĂłn Administrativa Parque Centenario. Instituto de TecnologĂ­as en DetecciĂłn y AstropartĂ­culas; ArgentinaFil: Tiffenberg, Javier Sebastian. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de FĂ­sica; ArgentinaFil: Videla, Mariela. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Oficina de CoordinaciĂłn Administrativa Parque Centenario. Instituto de TecnologĂ­as en DetecciĂłn y AstropartĂ­culas; Argentina. Universidad TecnolĂłgica Nacional. Facultad Regional de Mendoza; ArgentinaFil: Wahlberg, Hernan Pablo. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico - CONICET - La Plata. Instituto de FĂ­sica La Plata; ArgentinaFil: Wainberg, Oscar Isaac. Comision Nacional de Energia Atomica. Gerencia del Area Investicaciones y Aplicaciones No Nucleares; Argentina. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Oficina de CoordinaciĂłn Administrativa Parque Centenario. Instituto de TecnologĂ­as en DetecciĂłn y AstropartĂ­culas; ArgentinaFil: Wundheiler, Brian. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Oficina de CoordinaciĂłn Administrativa Parque Centenario. Instituto de TecnologĂ­as en DetecciĂłn y AstropartĂ­culas; ArgentinaFil: The Pierre Auger collaboration

    Antimicrobial resistance among migrants in Europe: a systematic review and meta-analysis

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    BACKGROUND: Rates of antimicrobial resistance (AMR) are rising globally and there is concern that increased migration is contributing to the burden of antibiotic resistance in Europe. However, the effect of migration on the burden of AMR in Europe has not yet been comprehensively examined. Therefore, we did a systematic review and meta-analysis to identify and synthesise data for AMR carriage or infection in migrants to Europe to examine differences in patterns of AMR across migrant groups and in different settings. METHODS: For this systematic review and meta-analysis, we searched MEDLINE, Embase, PubMed, and Scopus with no language restrictions from Jan 1, 2000, to Jan 18, 2017, for primary data from observational studies reporting antibacterial resistance in common bacterial pathogens among migrants to 21 European Union-15 and European Economic Area countries. To be eligible for inclusion, studies had to report data on carriage or infection with laboratory-confirmed antibiotic-resistant organisms in migrant populations. We extracted data from eligible studies and assessed quality using piloted, standardised forms. We did not examine drug resistance in tuberculosis and excluded articles solely reporting on this parameter. We also excluded articles in which migrant status was determined by ethnicity, country of birth of participants' parents, or was not defined, and articles in which data were not disaggregated by migrant status. Outcomes were carriage of or infection with antibiotic-resistant organisms. We used random-effects models to calculate the pooled prevalence of each outcome. The study protocol is registered with PROSPERO, number CRD42016043681. FINDINGS: We identified 2274 articles, of which 23 observational studies reporting on antibiotic resistance in 2319 migrants were included. The pooled prevalence of any AMR carriage or AMR infection in migrants was 25·4% (95% CI 19·1-31·8; I2 =98%), including meticillin-resistant Staphylococcus aureus (7·8%, 4·8-10·7; I2 =92%) and antibiotic-resistant Gram-negative bacteria (27·2%, 17·6-36·8; I2 =94%). The pooled prevalence of any AMR carriage or infection was higher in refugees and asylum seekers (33·0%, 18·3-47·6; I2 =98%) than in other migrant groups (6·6%, 1·8-11·3; I2 =92%). The pooled prevalence of antibiotic-resistant organisms was slightly higher in high-migrant community settings (33·1%, 11·1-55·1; I2 =96%) than in migrants in hospitals (24·3%, 16·1-32·6; I2 =98%). We did not find evidence of high rates of transmission of AMR from migrant to host populations. INTERPRETATION: Migrants are exposed to conditions favouring the emergence of drug resistance during transit and in host countries in Europe. Increased antibiotic resistance among refugees and asylum seekers and in high-migrant community settings (such as refugee camps and detention facilities) highlights the need for improved living conditions, access to health care, and initiatives to facilitate detection of and appropriate high-quality treatment for antibiotic-resistant infections during transit and in host countries. Protocols for the prevention and control of infection and for antibiotic surveillance need to be integrated in all aspects of health care, which should be accessible for all migrant groups, and should target determinants of AMR before, during, and after migration. FUNDING: UK National Institute for Health Research Imperial Biomedical Research Centre, Imperial College Healthcare Charity, the Wellcome Trust, and UK National Institute for Health Research Health Protection Research Unit in Healthcare-associated Infections and Antimictobial Resistance at Imperial College London

    Worldwide trends in diabetes since 1980: a pooled analysis of 751 population-based studies with 4.4 million participants

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    BACKGROUND: One of the global targets for non-communicable diseases is to halt, by 2025, the rise in the age-standardised adult prevalence of diabetes at its 2010 levels. We aimed to estimate worldwide trends in diabetes, how likely it is for countries to achieve the global target, and how changes in prevalence, together with population growth and ageing, are affecting the number of adults with diabetes. METHODS: We pooled data from population-based studies that had collected data on diabetes through measurement of its biomarkers. We used a Bayesian hierarchical model to estimate trends in diabetes prevalence—defined as fasting plasma glucose of 7·0 mmol/L or higher, or history of diagnosis with diabetes, or use of insulin or oral hypoglycaemic drugs—in 200 countries and territories in 21 regions, by sex and from 1980 to 2014. We also calculated the posterior probability of meeting the global diabetes target if post-2000 trends continue. FINDINGS: We used data from 751 studies including 4 372 000 adults from 146 of the 200 countries we make estimates for. Global age-standardised diabetes prevalence increased from 4·3% (95% credible interval 2·4–7·0) in 1980 to 9·0% (7·2–11·1) in 2014 in men, and from 5·0% (2·9–7·9) to 7·9% (6·4–9·7) in women. The number of adults with diabetes in the world increased from 108 million in 1980 to 422 million in 2014 (28·5% due to the rise in prevalence, 39·7% due to population growth and ageing, and 31·8% due to interaction of these two factors). Age-standardised adult diabetes prevalence in 2014 was lowest in northwestern Europe, and highest in Polynesia and Micronesia, at nearly 25%, followed by Melanesia and the Middle East and north Africa. Between 1980 and 2014 there was little change in age-standardised diabetes prevalence in adult women in continental western Europe, although crude prevalence rose because of ageing of the population. By contrast, age-standardised adult prevalence rose by 15 percentage points in men and women in Polynesia and Micronesia. In 2014, American Samoa had the highest national prevalence of diabetes (>30% in both sexes), with age-standardised adult prevalence also higher than 25% in some other islands in Polynesia and Micronesia. If post-2000 trends continue, the probability of meeting the global target of halting the rise in the prevalence of diabetes by 2025 at the 2010 level worldwide is lower than 1% for men and is 1% for women. Only nine countries for men and 29 countries for women, mostly in western Europe, have a 50% or higher probability of meeting the global target. INTERPRETATION: Since 1980, age-standardised diabetes prevalence in adults has increased, or at best remained unchanged, in every country. Together with population growth and ageing, this rise has led to a near quadrupling of the number of adults with diabetes worldwide. The burden of diabetes, both in terms of prevalence and number of adults affected, has increased faster in low-income and middle-income countries than in high-income countries. FUNDING: Wellcome Trust

    Impacts of the Tropical Pacific/Indian Oceans on the Seasonal Cycle of the West African Monsoon

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    The current consensus is that drought has developed in the Sahel during the second half of the twentieth century as a result of remote effects of oceanic anomalies amplified by local land–atmosphere interactions. This paper focuses on the impacts of oceanic anomalies upon West African climate and specifically aims to identify those from SST anomalies in the Pacific/Indian Oceans during spring and summer seasons, when they were significant. Idealized sensitivity experiments are performed with four atmospheric general circulation models (AGCMs). The prescribed SST patterns used in the AGCMs are based on the leading mode of covariability between SST anomalies over the Pacific/Indian Oceans and summer rainfall over West Africa. The results show that such oceanic anomalies in the Pacific/Indian Ocean lead to a northward shift of an anomalous dry belt from the Gulf of Guinea to the Sahel as the season advances. In the Sahel, the magnitude of rainfall anomalies is comparable to that obtained by other authors using SST anomalies confined to the proximity of the Atlantic Ocean. The mechanism connecting the Pacific/Indian SST anomalies with West African rainfall has a strong seasonal cycle. In spring (May and June), anomalous subsidence develops over both the Maritime Continent and the equatorial Atlantic in response to the enhanced equatorial heating. Precipitation increases over continental West Africa in association with stronger zonal convergence of moisture. In addition, precipitation decreases over the Gulf of Guinea. During the monsoon peak (July and August), the SST anomalies move westward over the equatorial Pacific and the two regions where subsidence occurred earlier in the seasons merge over West Africa. The monsoon weakens and rainfall decreases over the Sahel, especially in August.Peer reviewe

    Mortality and pulmonary complications in patients undergoing surgery with perioperative SARS-CoV-2 infection: an international cohort study

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    Background: The impact of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on postoperative recovery needs to be understood to inform clinical decision making during and after the COVID-19 pandemic. This study reports 30-day mortality and pulmonary complication rates in patients with perioperative SARS-CoV-2 infection. Methods: This international, multicentre, cohort study at 235 hospitals in 24 countries included all patients undergoing surgery who had SARS-CoV-2 infection confirmed within 7 days before or 30 days after surgery. The primary outcome measure was 30-day postoperative mortality and was assessed in all enrolled patients. The main secondary outcome measure was pulmonary complications, defined as pneumonia, acute respiratory distress syndrome, or unexpected postoperative ventilation. Findings: This analysis includes 1128 patients who had surgery between Jan 1 and March 31, 2020, of whom 835 (74·0%) had emergency surgery and 280 (24·8%) had elective surgery. SARS-CoV-2 infection was confirmed preoperatively in 294 (26·1%) patients. 30-day mortality was 23·8% (268 of 1128). Pulmonary complications occurred in 577 (51·2%) of 1128 patients; 30-day mortality in these patients was 38·0% (219 of 577), accounting for 81·7% (219 of 268) of all deaths. In adjusted analyses, 30-day mortality was associated with male sex (odds ratio 1·75 [95% CI 1·28–2·40], p\textless0·0001), age 70 years or older versus younger than 70 years (2·30 [1·65–3·22], p\textless0·0001), American Society of Anesthesiologists grades 3–5 versus grades 1–2 (2·35 [1·57–3·53], p\textless0·0001), malignant versus benign or obstetric diagnosis (1·55 [1·01–2·39], p=0·046), emergency versus elective surgery (1·67 [1·06–2·63], p=0·026), and major versus minor surgery (1·52 [1·01–2·31], p=0·047). Interpretation: Postoperative pulmonary complications occur in half of patients with perioperative SARS-CoV-2 infection and are associated with high mortality. Thresholds for surgery during the COVID-19 pandemic should be higher than during normal practice, particularly in men aged 70 years and older. Consideration should be given for postponing non-urgent procedures and promoting non-operative treatment to delay or avoid the need for surgery. Funding: National Institute for Health Research (NIHR), Association of Coloproctology of Great Britain and Ireland, Bowel and Cancer Research, Bowel Disease Research Foundation, Association of Upper Gastrointestinal Surgeons, British Association of Surgical Oncology, British Gynaecological Cancer Society, European Society of Coloproctology, NIHR Academy, Sarcoma UK, Vascular Society for Great Britain and Ireland, and Yorkshire Cancer Research

    Surgical site infection after gastrointestinal surgery in high-income, middle-income, and low-income countries: a prospective, international, multicentre cohort study

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    Background: Surgical site infection (SSI) is one of the most common infections associated with health care, but its importance as a global health priority is not fully understood. We quantified the burden of SSI after gastrointestinal surgery in countries in all parts of the world. Methods: This international, prospective, multicentre cohort study included consecutive patients undergoing elective or emergency gastrointestinal resection within 2-week time periods at any health-care facility in any country. Countries with participating centres were stratified into high-income, middle-income, and low-income groups according to the UN's Human Development Index (HDI). Data variables from the GlobalSurg 1 study and other studies that have been found to affect the likelihood of SSI were entered into risk adjustment models. The primary outcome measure was the 30-day SSI incidence (defined by US Centers for Disease Control and Prevention criteria for superficial and deep incisional SSI). Relationships with explanatory variables were examined using Bayesian multilevel logistic regression models. This trial is registered with ClinicalTrials.gov, number NCT02662231. Findings: Between Jan 4, 2016, and July 31, 2016, 13 265 records were submitted for analysis. 12 539 patients from 343 hospitals in 66 countries were included. 7339 (58·5%) patient were from high-HDI countries (193 hospitals in 30 countries), 3918 (31·2%) patients were from middle-HDI countries (82 hospitals in 18 countries), and 1282 (10·2%) patients were from low-HDI countries (68 hospitals in 18 countries). In total, 1538 (12·3%) patients had SSI within 30 days of surgery. The incidence of SSI varied between countries with high (691 [9·4%] of 7339 patients), middle (549 [14·0%] of 3918 patients), and low (298 [23·2%] of 1282) HDI (p < 0·001). The highest SSI incidence in each HDI group was after dirty surgery (102 [17·8%] of 574 patients in high-HDI countries; 74 [31·4%] of 236 patients in middle-HDI countries; 72 [39·8%] of 181 patients in low-HDI countries). Following risk factor adjustment, patients in low-HDI countries were at greatest risk of SSI (adjusted odds ratio 1·60, 95% credible interval 1·05–2·37; p=0·030). 132 (21·6%) of 610 patients with an SSI and a microbiology culture result had an infection that was resistant to the prophylactic antibiotic used. Resistant infections were detected in 49 (16·6%) of 295 patients in high-HDI countries, in 37 (19·8%) of 187 patients in middle-HDI countries, and in 46 (35·9%) of 128 patients in low-HDI countries (p < 0·001). Interpretation: Countries with a low HDI carry a disproportionately greater burden of SSI than countries with a middle or high HDI and might have higher rates of antibiotic resistance. In view of WHO recommendations on SSI prevention that highlight the absence of high-quality interventional research, urgent, pragmatic, randomised trials based in LMICs are needed to assess measures aiming to reduce this preventable complication

    Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis of 2181 population-based studies with 65 million participants

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    Summary Background Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents. Methods For this pooled analysis, we used a database of cardiometabolic risk factors collated by the Non-Communicable Disease Risk Factor Collaboration. We applied a Bayesian hierarchical model to estimate trends from 1985 to 2019 in mean height and mean BMI in 1-year age groups for ages 5–19 years. The model allowed for non-linear changes over time in mean height and mean BMI and for non-linear changes with age of children and adolescents, including periods of rapid growth during adolescence. Findings We pooled data from 2181 population-based studies, with measurements of height and weight in 65 million participants in 200 countries and territories. In 2019, we estimated a difference of 20 cm or higher in mean height of 19-year-old adolescents between countries with the tallest populations (the Netherlands, Montenegro, Estonia, and Bosnia and Herzegovina for boys; and the Netherlands, Montenegro, Denmark, and Iceland for girls) and those with the shortest populations (Timor-Leste, Laos, Solomon Islands, and Papua New Guinea for boys; and Guatemala, Bangladesh, Nepal, and Timor-Leste for girls). In the same year, the difference between the highest mean BMI (in Pacific island countries, Kuwait, Bahrain, The Bahamas, Chile, the USA, and New Zealand for both boys and girls and in South Africa for girls) and lowest mean BMI (in India, Bangladesh, Timor-Leste, Ethiopia, and Chad for boys and girls; and in Japan and Romania for girls) was approximately 9–10 kg/m2. In some countries, children aged 5 years started with healthier height or BMI than the global median and, in some cases, as healthy as the best performing countries, but they became progressively less healthy compared with their comparators as they grew older by not growing as tall (eg, boys in Austria and Barbados, and girls in Belgium and Puerto Rico) or gaining too much weight for their height (eg, girls and boys in Kuwait, Bahrain, Fiji, Jamaica, and Mexico; and girls in South Africa and New Zealand). In other countries, growing children overtook the height of their comparators (eg, Latvia, Czech Republic, Morocco, and Iran) or curbed their weight gain (eg, Italy, France, and Croatia) in late childhood and adolescence. When changes in both height and BMI were considered, girls in South Korea, Vietnam, Saudi Arabia, Turkey, and some central Asian countries (eg, Armenia and Azerbaijan), and boys in central and western Europe (eg, Portugal, Denmark, Poland, and Montenegro) had the healthiest changes in anthropometric status over the past 3·5 decades because, compared with children and adolescents in other countries, they had a much larger gain in height than they did in BMI. The unhealthiest changes—gaining too little height, too much weight for their height compared with children in other countries, or both—occurred in many countries in sub-Saharan Africa, New Zealand, and the USA for boys and girls; in Malaysia and some Pacific island nations for boys; and in Mexico for girls. Interpretation The height and BMI trajectories over age and time of school-aged children and adolescents are highly variable across countries, which indicates heterogeneous nutritional quality and lifelong health advantages and risks
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