1,740 research outputs found
Predicting death and morbidity in perforated peptic ulcer
Peptic ulcers are defined as defects in the gastrointestinal mucosa that extend through the muscularis mucosae. Although not being the most common complication, perforations stand out as being the complication with the highest mortality rate. To predict the probability of mortality, several scoring systems based on clinical and biochemical parameters, such as the Boey and PULP scoring system have been developed. This article explores, using data mining in the medical data available, how the scoring systems perform when trying to predict mortality and patients’ state complication. We also try to conclude, from the two scoring systems presented, which predicts better the situations described. Regarding the results, we concluded that the PULP scoring allows a better mortality prediction achieving, in this case, above 90% accuracy, however, the results may be inconclusive due to the lack of patients who died in the dataset used. Regarding the complications, we concluded that, on the other hand, the Boey system achieves better results leading to a better prediction when it comes to predicting patients’ state complication.FCT - Fundação para a Ciência e a Tecnologia (UID/CEC/00319/2013
Monitoring bubble production in a seagrass meadow using a source of opportunity
Under high irradiance, the photosynthetic activity of dense seagrass meadows saturates the water forming oxygen bubbles. The diel cycle of bubble production peaks at mid-day, following light intensity pattern. It is well known that bubbles strongly affect the acoustic propagation, increasing signal attenuation and decreasing the effective water sound speed, noticeable at low frequencies. Thus, the diurnal variability of bubbles may show an interference pattern in the spectrograms of low frequency acoustic signals. In an experiment conducted in July 2016 at the Aquaculture Research Station of the Portuguese Institute for the Sea and Atmosphere in Olhão, Portugal, the spectrograms of low frequency (<20kHz) broadband noise produced by water pumps in a pond of 0.48ha covered by the seagrass Cymodocea nodosa showed interference patterns that can be ascribed to the variability of the sound speed in the water. Preliminary analysis suggests that the daily cycle of bubble concentration can be inferred from these interference patterns.info:eu-repo/semantics/publishedVersio
Evidence and Ideology in Macroeconomics: The Case of Investment Cycles
The paper reports the principal findings of a long term research project on the description and explanation of business cycles. The research strongly confirmed the older view that business cycles have large systematic components that take the form of investment cycles. These quasi-periodic movements can be represented as low order, stochastic, dynamic processes with complex eigenvalues. Specifically, there is a fixed investment cycle of about 8 years and an inventory cycle of about 4 years. Maximum entropy spectral analysis was employed for the description of the cycles and continuous time econometrics for the explanatory models. The central explanatory mechanism is the second order accelerator, which incorporates adjustment costs both in relation to the capital stock and the rate of investment. By means of parametric resonance it was possible to show, both theoretically and empirically how cycles aggregate from the micro to the macro level. The same mathematical tool was also used to explain the international convergence of cycles. I argue that the theory of investment cycles was abandoned for ideological, not for evidential reasons. Methodological issues are also discussed
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Rarity of monodominance in hyperdiverse Amazonian forests.
Tropical forests are known for their high diversity. Yet, forest patches do occur in the tropics where a single tree species is dominant. Such "monodominant" forests are known from all of the main tropical regions. For Amazonia, we sampled the occurrence of monodominance in a massive, basin-wide database of forest-inventory plots from the Amazon Tree Diversity Network (ATDN). Utilizing a simple defining metric of at least half of the trees ≥ 10 cm diameter belonging to one species, we found only a few occurrences of monodominance in Amazonia, and the phenomenon was not significantly linked to previously hypothesized life history traits such wood density, seed mass, ectomycorrhizal associations, or Rhizobium nodulation. In our analysis, coppicing (the formation of sprouts at the base of the tree or on roots) was the only trait significantly linked to monodominance. While at specific locales coppicing or ectomycorrhizal associations may confer a considerable advantage to a tree species and lead to its monodominance, very few species have these traits. Mining of the ATDN dataset suggests that monodominance is quite rare in Amazonia, and may be linked primarily to edaphic factors
Recommendations for the introduction of metagenomic high-throughput sequencing in clinical virology, part I:Wet lab procedure
Metagenomic high-throughput sequencing (mHTS) is a hypothesis-free, universal pathogen detection technique for determination of the DNA/RNA sequences in a variety of sample types and infectious syndromes. mHTS is still in its early stages of translating into clinical application. To support the development, implementation and standardization of mHTS procedures for virus diagnostics, the European Society for Clinical Virology (ESCV) Network on Next-Generation Sequencing (ENNGS) has been established. The aim of ENNGS is to bring together professionals involved in mHTS for viral diagnostics to share methodologies and experiences, and to develop application recommendations. This manuscript aims to provide practical recommendations for the wet lab procedures necessary for implementation of mHTS for virus diagnostics and to give recommendations for development and validation of laboratory methods, including mHTS quality assurance, control and quality assessment protocols
Age-specific burden of cervical cancer associated with HIV: A global analysis with a focus on sub-Saharan Africa
HIV substantially worsens human papillomavirus (HPV) carcinogenicity and contributes to an important population excess of cervical cancer, particularly in sub-Saharan Africa (SSA). We estimated HIV- and age-stratified cervical cancer burden at a country, regional, and global level in 2020. Proportions of cervical cancer a) diagnosed in women living with HIV (WLHIV), and b) attributable to HIV, were calculated using age-specific estimates of HIV prevalence (UNAIDS) and relative risk. These proportions were validated against empirical data and applied to age-specific cervical cancer incidence (GLOBOCAN 2020). HIV was most important in SSA, where 24.9% of cervical cancers were diagnosed in WLHIV, and 20.4% were attributable to HIV (vs 1.3% and 1.1%, respectively, in the rest of the world). In all world regions, contribution of HIV to cervical cancer was far higher in younger women (as seen also in empirical series). For example, in Southern Africa, where more than half of cervical cancers were diagnosed in WLHIV, the HIV-attributable fraction decreased from 86% in women ≤34 years to only 12% in women ≥55 years. The absolute burden of HIV-attributable cervical cancer (approximately 28 000 cases globally) also shifted towards younger women: in Southern Africa, 63% of 5341 HIV-attributable cervical cancer occurred in women <45 years old, compared to only 17% of 6901 non-HIV-attributable cervical cancer. Improved quantification of cervical cancer burden by age and HIV status can inform cervical cancer prevention efforts in SSA, including prediction of the impact of WLHIV-targeted vs general population approaches to cervical screening, and impact of HIV prevention
Gender Dimorphism in Skeletal Muscle Leptin Receptors, Serum Leptin and Insulin Sensitivity
To determine if there is a gender dimorphism in the expression of leptin receptors (OB-R170, OB-R128 and OB-R98) and the protein suppressor of cytokine signaling 3 (SOCS3) in human skeletal muscle, the protein expression of OB-R, perilipin A, SOCS3 and alpha-tubulin was assessed by Western blot in muscle biopsies obtained from the m. vastus lateralis in thirty-four men (age = 27.1±6.8 yr) and thirty-three women (age = 26.7±6.7 yr). Basal serum insulin concentration and HOMA were similar in both genders. Serum leptin concentration was 3.4 times higher in women compared to men (P<0.05) and this difference remained significant after accounting for the differences in percentage of body fat or soluble leptin receptor. OB-R protein was 41% (OB-R170, P<0.05) and 163% (OB-R128, P<0.05) greater in women than men. There was no relationship between OB-R expression and the serum concentrations of leptin or 17β-estradiol. In men, muscle OB-R128 protein was inversely related to serum free testosterone. In women, OB-R98 and OB-R128 were inversely related to total serum testosterone concentration, and OB-R128 to serum free testosterone concentration. SOCS3 protein expression was similar in men and women and was not related to OB-R. In women, there was an inverse relationship between the logarithm of free testosterone and SCOS3 protein content in skeletal muscle (r = −0.46, P<0.05). In summary, there is a gender dimorphism in skeletal muscle leptin receptors expression, which can be partly explained by the influence of testosterone. SOCS3 expression in skeletal muscle is not up-regulated in women, despite very high serum leptin concentrations compared to men. The circulating form of the leptin receptor can not be used as a surrogate measure of the amount of leptin receptors expressed in skeletal muscles
Age-dependent impact of the major common genetic risk factor for COVID-19 on severity and mortality
AG has received support by NordForsk Nordic Trial Alliance (NTA) grant, by Academy of
Finland Fellow grant N. 323116 and the Academy of Finland for PREDICT consortium N.
340541.
The Richards research group is supported by the Canadian Institutes of Health Research
(CIHR) (365825 and 409511), the Lady Davis Institute of the Jewish General Hospital, the
Canadian Foundation for Innovation (CFI), the NIH Foundation, Cancer Research UK,
Genome Québec, the Public Health Agency of Canada, the McGill Interdisciplinary Initiative in
Infection and Immunity and the Fonds de Recherche Québec Santé (FRQS). TN is supported
by a research fellowship of the Japan Society for the Promotion of Science for Young
Scientists. GBL is supported by a CIHR scholarship and a joint FRQS and Québec Ministry of
Health and Social Services scholarship. JBR is supported by an FRQS Clinical Research
Scholarship. Support from Calcul Québec and Compute Canada is acknowledged. TwinsUK is
funded by the Welcome Trust, the Medical Research Council, the European Union, the
National Institute for Health Research-funded BioResource and the Clinical Research Facility
and Biomedical Research Centre based at Guy’s and St. Thomas’ NHS Foundation Trust in
partnership with King’s College London. The Biobanque Québec COVID19 is funded by FRQS,
Genome Québec and the Public Health Agency of Canada, the McGill Interdisciplinary
Initiative in Infection and Immunity and the Fonds de Recherche Québec Santé. These funding
agencies had no role in the design, implementation or interpretation of this study.
The COVID19-Host(a)ge study received infrastructure support from the DFG Cluster of
Excellence 2167 “Precision Medicine in Chronic Inflammation (PMI)” (DFG Grant: “EXC2167”).
The COVID19-Host(a)ge study was supported by the German Federal Ministry of Education
and Research (BMBF) within the framework of the Computational Life Sciences funding
concept (CompLS grant 031L0165). Genotyping in COVID19-Host(a)ge was supported by a
philantropic donation from Stein Erik Hagen.
The COVID GWAs, Premed COVID-19 study (COVID19-Host(a)ge_3) was supported by
"Grupo de Trabajo en Medicina Personalizada contra el COVID-19 de Andalucia"and also by
the Instituto de Salud Carlos III (CIBERehd and CIBERER). Funding comes from
COVID-19-GWAS, COVID-PREMED initiatives. Both of them are supported by "Consejeria de
Salud y Familias" of the Andalusian Government. DMM is currently funded by the the
Andalussian government (Proyectos Estratégicos-Fondos Feder PE-0451-2018).
The Columbia University Biobank was supported by Columbia University and the National
Center for Advancing Translational Sciences, NIH, through Grant Number UL1TR001873. The content is solely the responsibility of the authors and does not necessarily represent the official
views of the NIH or Columbia University.
The SPGRX study was supported by the Consejería de Economía, Conocimiento, Empresas y
Universidad #CV20-10150.
The GEN-COVID study was funded by: the MIUR grant “Dipartimenti di Eccellenza 2018-2020”
to the Department of Medical Biotechnologies University of Siena, Italy; the “Intesa San Paolo
2020 charity fund” dedicated to the project NB/2020/0119; and philanthropic donations to the
Department of Medical Biotechnologies, University of Siena for the COVID-19 host genetics
research project (D.L n.18 of March 17, 2020). Part of this research project is also funded by
Tuscany Region “Bando Ricerca COVID-19 Toscana” grant to the Azienda Ospedaliero
Universitaria Senese (CUP I49C20000280002). Authors are grateful to: the CINECA
consortium for providing computational resources; the Network for Italian Genomes (NIG)
(http://www.nig.cineca.it) for its support; the COVID-19 Host Genetics Initiative
(https://www.covid19hg.org/); the Genetic Biobank of Siena, member of BBMRI-IT, Telethon
Network of Genetic Biobanks (project no. GTB18001), EuroBioBank, and RD-Connect, for
managing specimens.
Genetics against coronavirus (GENIUS), Humanitas University (COVID19-Host(a)ge_4) was
supported by Ricerca Corrente (Italian Ministry of Health), intramural funding (Fondazione
Humanitas per la Ricerca). The generous contribution of Banca Intesa San Paolo and of the
Dolce&Gabbana Fashion Firm is gratefully acknowledged.
Data acquisition and sample processing was supported by COVID-19 Biobank, Fondazione
IRCCS Cà Granda Milano; LV group was supported by MyFirst Grant AIRC n.16888, Ricerca
Finalizzata Ministero della Salute RF-2016-02364358, Ricerca corrente Fondazione IRCCS
Ca’ Granda Ospedale Maggiore Policlinico, the European Union (EU) Programme Horizon
2020 (under grant agreement No. 777377) for the project LITMUS- “Liver Investigation:
Testing Marker Utility in Steatohepatitis”, Programme “Photonics” under grant agreement
“101016726” for the project “REVEAL: Neuronal microscopy for cell behavioural examination
and manipulation”, Fondazione Patrimonio Ca’ Granda “Liver Bible” PR-0361. DP was
supported by Ricerca corrente Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico,
CV PREVITAL “Strategie di prevenzione primaria nella popolazione Italiana” Ministero della
Salute, and Associazione Italiana per la Prevenzione dell’Epatite Virale (COPEV).
Genetic modifiers for COVID-19 related illness (BeLCovid_1) was supported by the "Fonds
Erasme". The Host genetics and immune response in SARS-Cov-2 infection (BelCovid_2)
study was supported by grants from Fondation Léon Fredericq and from Fonds de la
Recherche Scientifique (FNRS).
The INMUNGEN-CoV2 study was funded by the Consejo Superior de Investigaciones
Científicas.
KUL is supported by the German Research Foundation (LU 1944/3-1) SweCovid is funded by the SciLifeLab/KAW national COVID-19 research program project
grant to Michael Hultström (KAW 2020.0182) and the Swedish Research Council to Robert
Frithiof (2014-02569 and 2014-07606). HZ is supported by Jeansson Stiftelser, Magnus
Bergvalls Stiftelse.
The COMRI cohort is funded by Technical University of Munich, Munich, Germany.
Genotyping for the COMRI cohort was performed and funded by the Genotyping Laboratory of
Institute for Molecular Medicine Finland FIMM Technology Centre, University of Helsinki,
Helsinki, Finland.
These funding agencies had no role in the design, implementation or interpretation of this
study.Background: There is considerable variability in COVID-19 outcomes amongst younger
adults—and some of this variation may be due to genetic predisposition. We characterized the
clinical implications of the major genetic risk factor for COVID-19 severity, and its age-dependent
effect, using individual-level data in a large international multi-centre consortium.
Method: The major common COVID-19 genetic risk factor is a chromosome 3 locus, tagged by
the marker rs10490770. We combined individual level data for 13,424 COVID-19 positive
patients (N=6,689 hospitalized) from 17 cohorts in nine countries to assess the association of this
genetic marker with mortality, COVID-19-related complications and laboratory values. We next
examined if the magnitude of these associations varied by age and were independent from
known clinical COVID-19 risk factors.
Findings: We found that rs10490770 risk allele carriers experienced an increased risk of
all-cause mortality (hazard ratio [HR] 1·4, 95% confidence interval [CI] 1·2–1·6) and COVID-19
related mortality (HR 1·5, 95%CI 1·3–1·8). Risk allele carriers had increased odds of several
COVID-19 complications: severe respiratory failure (odds ratio [OR] 2·0, 95%CI 1·6-2·6),
venous thromboembolism (OR 1·7, 95%CI 1·2-2·4), and hepatic injury (OR 1·6, 95%CI
1·2-2·0). Risk allele carriers ≤ 60 years had higher odds of death or severe respiratory failure
(OR 2·6, 95%CI 1·8-3·9) compared to those > 60 years OR 1·5 (95%CI 1·3-1·9, interaction
p-value=0·04). Amongst individuals ≤ 60 years who died or experienced severe respiratory
COVID-19 outcome, we found that 31·8% (95%CI 27·6-36·2) were risk variant carriers,
compared to 13·9% (95%CI 12·6-15·2%) of those not experiencing these outcomes.
Prediction of death or severe respiratory failure among those ≤ 60 years improved when
including the risk allele (AUC 0·82 vs 0·84, p=0·016) and the prediction ability of rs10490770
risk allele was similar to, or better than, most established clinical risk factors.
Interpretation: The major common COVID-19 risk locus on chromosome 3 is associated with
increased risks of morbidity and mortality—and these are more pronounced amongst individuals
≤ 60 years. The effect on COVID-19 severity was similar to, or larger than most established risk
factors, suggesting potential implications for clinical risk management.Academy of
Finland Fellow grant N. 323116Academy of Finland for PREDICT consortium N.
340541.Canadian Institutes of Health Research
(CIHR) (365825 and 409511)Lady Davis Institute of the Jewish General HospitalCanadian Foundation for Innovation (CFI)NIH FoundationCancer Research UKGenome QuébecPublic Health Agency of CanadaMcGill Interdisciplinary Initiative in
Infection and Immunity and the Fonds de Recherche Québec Santé (FRQS)Japan Society for the Promotion of Science for Young
ScientistsCIHR scholarship and a joint FRQS and Québec Ministry of
Health and Social Services scholarshipFRQS Clinical Research
ScholarshipCalcul QuébecCompute CanadaWelcome TrustMedical Research CouncEuropean UnionNational Institute for Health Research-funded BioResourceClinical Research Facility
and Biomedical Research Centre based at Guy’s and St. Thomas’ NHS Foundation TrustKing’s College LondonGenome QuébecPublic Health Agency of CanadaMcGill Interdisciplinary
Initiative in Infection and ImmunityFonds de Recherche Québec Santé(DFG Grant: “EXC2167”)(CompLS grant 031L0165)Stein Erik Hagen"Grupo de Trabajo en Medicina Personalizada contra el COVID-19 de Andalucia"Instituto de Salud Carlos III (CIBERehd and CIBERER)COVID-19-GWASCOVID-PREMED initiatives"Consejeria de
Salud y Familias" of the Andalusian GovernmentAndalusian government (Proyectos Estratégicos-Fondos Feder PE-0451-2018)Columbia UniversityNational
Center for Advancing Translational SciencesNIH Grant Number UL1TR001873Consejería de Economía, Conocimiento, Empresas y
Universidad #CV20-10150MIUR grant “Dipartimenti di Eccellenza 2018-2020”“Intesa San Paolo
2020 charity fund” dedicated to the project NB/2020/0119Tuscany Region “Bando Ricerca COVID-19 Toscana”CINECA
consortiumNetwork for Italian Genomes (NIG)COVID-19 Host Genetics InitiativeGenetic Biobank of SienaEuroBioBankRD-ConnectRicerca Corrente (Italian Ministry of Health)Fondazione
Humanitas per la RicercaBanca Intesa San PaoloDolce&Gabbana Fashion FirmCOVID-19 BiobankFondazione
IRCCS Cà Granda MilanoMyFirst Grant AIRC n.16888Ricerca
Finalizzata Ministero della Salute RF-2016-02364358Ricerca corrente Fondazione IRCCS
Ca’ Granda Ospedale Maggiore PoliclinicoEuropean Union (EU) Programme Horizon
2020 (under grant agreement No. 777377)“Photonics” “101016726”Fondazione Patrimonio Ca’ Granda “Liver Bible” PR-0361CV PREVITAL “Strategie di prevenzione primaria nella popolazione Italiana” Ministero della
Salute, and Associazione Italiana per la Prevenzione dell’Epatite Virale (COPEV)"Fonds
Erasme"Fondation Léon FredericqFonds de la
Recherche Scientifique (FNRS)Consejo Superior de Investigaciones
CientíficasGerman Research Foundation (LU 1944/3-1)SciLifeLab/KAW national COVID-19 research program project (KAW 2020.0182)Swedish Research Council (2014-02569 and 2014-07606)Jeansson Stiftelser, Magnus
Bergvalls StiftelseTechnical University of Munich, Munich, GermanyGenotyping Laboratory of
Institute for Molecular Medicine Finland FIMM Technology Centre, University of Helsinki,
Helsinki, Finlan
Guillain-Barré Syndrome Outbreak in Peru 2019 Associated With Campylobacter jejuni Infection
OBJECTIVE: To identify the clinical phenotypes and infectious triggers in the 2019 Peruvian Guillain-Barré syndrome (GBS) outbreak. METHODS: We prospectively collected clinical and neurophysiologic data of patients with GBS admitted to a tertiary hospital in Lima, Peru, between May and August 2019. Molecular, immunologic, and microbiological methods were used to identify causative infectious agents. Sera from 41 controls were compared with cases for antibodies to Campylobacter jejuni and gangliosides. Genomic analysis was performed on 4 C jejuni isolates. RESULTS: The 49 included patients had a median age of 44 years (interquartile range [IQR] 30-54 years), and 28 (57%) were male. Thirty-two (65%) had symptoms of a preceding infection: 24 (49%) diarrhea and 13 (27%) upper respiratory tract infection. The median time between infectious to neurologic symptoms was 3 days (IQR 2-9 days). Eighty percent had a pure motor form of GBS, 21 (43%) had the axonal electrophysiologic subtype, and 18% the demyelinating subtype. Evidence of recent C jejuni infection was found in 28/43 (65%). No evidence of recent arbovirus infection was found. Twenty-three cases vs 11 controls (OR 3.3, confidence interval [CI] 95% 1.2-9.2, p < 0.01) had IgM and/or IgA antibodies against C jejuni. Anti-GM1:phosphatidylserine and/or anti-GT1a:GM1 heteromeric complex antibodies were strongly positive in cases (92.9% sensitivity and 68.3% specificity). Genomic analysis showed that the C jejuni strains were closely related and had the Asn51 polymorphism at cstII gene. CONCLUSIONS: Our study indicates that the 2019 Peruvian GBS outbreak was associated with C jejuni infection and that the C jejuni strains linked to GBS circulate widely in different parts of the world
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