7,728 research outputs found
Clinical Subtypes of Medication Overuse Headache – Findings From a Large Cohort
No full textBACKGROUND:
The International Classification of Headache Disorders lists different subtypes of medication overuse headache (MOH), according to the medication overused. The aim of this study is to evaluate whether the different subtypes correspond to clinically distinguishable phenotypes in a large population.
METHOD:
This descriptive cross-sectional observational study included 660 patients with MOH referred to headache centers in Europe and Latin America as a part of the COMOESTAS project. Information about clinical features was collected with structured patient interviews and with self-administered questionnaires for measuring disability, anxiety, and depression.
RESULTS:
Female/male ratio, body mass index, marital status, and level of education were similar among in subjects enrolled in the 5 centers. The mean age was higher among subjects overusing triptans (T-MOH) with respect to subjects overusing simple analgesic (A-MOH). Duration of headache before chronification was longer in T-MOH (19.2 ± 11.9 years) and in subjects overusing ergotamines (E-MOH, 17.8 ± 11.7 years) with respect to the A-MOH group (13.1 ± 10.9; P < .001 and P = .017, respectively) and in T-MOH with respect multiple drug classes (M-MOH, 14.9 ± 11.7; P = .030). Migraine Disability Assessment (MIDAS) score was significantly lower in E-MOH group (33.6 ± 41.6), while T-MOH group (56.8 ± 40.6) had a significant lower MIDAS score with respect to M-MOH (67.2 ± 62.5; P = .016 and P = .037, respectively). Prevalence of depression and anxiety was lower in patients overusing T with respect to other groups of patients (χ2 = 10.953, P = .027 and χ2 = 25.725, P < .001, respectively).
CONCLUSION:
In this study on a large and very well characterized population of MOH, we describe the distinctive clinical characteristics of MOH subtypes. These findings contribute to more clearly define the clinical picture of a poorly delineated headache disorder. They also provide some insights in the possible trajectories leading to this highly disabling chronic headache, that is classified as a secondary form, but whose occurrence is entirely dependent on an underlying primary headache.Fil: Viana, Michele. IRCCS Mondino Foundation. Headache Science Center; Italia. Regional Hospital Lugano. Neurocenter of Southern Switzerland. Headache Center; Suiza. King's College London. Department of Basic and Clinical Neurosciences. Headache Group; Reino Unido.Fil: De Icco, Roberto. IRCCS Mondino Foundation. Headache Science Center; Italia. University of Pavia. Department of Brain and Behavioral Sciences; Italia.Fil: Allena, Marta. IRCCS Mondino Foundation. Headache Science Center; Italia.Fil: Sances, Grazia. IRCCS Mondino Foundation. Headache Science Center; Italia.Fil: Højland Jensen, Rigmor. Glostrup Hospital. Department of Neurology. Danish Headache Centre; Dinamarca.Fil: Katsarava, Zaza. University of Duisburg-Essen. Department of Neurology; Alemania. Evangelical Hospital Unna. Department of Neurology; Alemania. EVEX Medical Corporation; Estados Unidos. Sechenov University Moscow; Rusia.Fil: Lainez, Miguel J. A. University Clinical Hospital. Foundation of the Valencian Community; España.Fil: Fadic, Ricardo. Pontificia Universidad Católica de Chile. Department of Neurology; Chile.Fil: Goicochea, Maria Teresa. Fleni. Departamento de Neurología. Clínica del Color. Clínica de Cefaleas; Argentina.Fil: Nappi, Giuseppe. IRCCS Mondino Foundation. Headache Science Center; Italia.Fil: Tassorelli, Cristina. IRCCS Mondino Foundation. Headache Science Center; Italia. University of Pavia. Department of Brain and Behavioral Sciences; Italia
SHui open data research platform
No full textData collected and revised by individual instutions of the Shui-Consortium. Publication by the EU-China Consortium SHui.For each data-file, the author (institution) of the file is given as “operator”.-- At project end, June 30th, 2022.-- For each data-file, the author/data owner for citation is given as “operator” and “contact”.-- Plot data as .csv; catchment data ad libitum.Spatial situation data: Plot data and catchment data available; country, latitude, and longitude coordinates given.-- Temporal situation data: Long-term and single-season data available. Start and end date for each data file given.CC BY-SA. No embargo. The release on the Shui download site and CSIC repository implies expiration of any embargo delivered by the data owner.Project Co-ordinators: Dr. Jose Alfonso Gómez Calero (Instituto de Agricultura Sostenible (IAS-CISC), Dr. Weifeng Xu (Fujian Agriculture and Forest University, FAFU).This data set contains data from the SHui open-data platform for sharing long-term agricultural experiments aimed to optimizing yield and soil and water. Data and additional material are available under https://shui.boku.ac.at/shui/public/startAlphanumeric data measured at hydrologic and agronomical experiments (e.g., plant development, soil properties, hydrology, erosion, management).Further information on the data, project, partners, and publications under https://www.shui-eu.org/EU-China Consortium SHui: European Union Project 773903 and Chinese MOST.Peer reviewe
Enrichment and characterization of a bacteria consortium capable of heterotrophic nitrification and aerobic denitrification at low temperature
Get PDFNitrogen removal in wastewater treatment plants is usually severely inhibited under cold temperature. The present study proposes bioaugmentation using psychrotolerant heterotrophic nitrification-aerobic denitrification consortium to enhance nitrogen removal at low temperature. A functional consortium has been successfully enriched by stepped increase in DO concentration. Using this consortium, the specific removal rates of ammonia and nitrate at 10 degrees C reached as high as 3.1 mg N/(g SS h) and 9.6 mg N/ (g SS h), respectively. PCR-DGGE and clone library analysis both indicated a significant reduction in bacterial diversity during enrichment. Phylogenetic analysis based on nearly full-length 16S rRNA genes showed that Alphaproteobacteria. Deltaproteobacteria and particularly Bacteroidetes declined while Gammaproteobacteria (all clustered into Pseudomonas sp.) and Betaproteobacteria (mainly Rhodoferax ferrireducens) became dominant in the enriched consortium. It is likely that Pseudomonas spp. played a major role in nitrification and denitrification, while R. ferrireducens and its relatives utilized nitrate as both electron acceptor and nitrogen source. Crown Copyright (C) 2012 Published by Elsevier Ltd. All rights reserved.</p
Arabic Treebank : Part 2 v 3.1
No full textArabic Treebank: Part 2 (ATB2) v 3.1 , Linguistic Data Consortium (LDC) catalog number LDC2011T09 and isbn 1-58563-590-1, was developed at LDC. It consists of 501 newswire stories from Ummah Press with part-of-speech (POS), morphology, gloss and syntactic treebank annotation in accordance with the Penn Arabic Treebank (PATB) Guidelines developed in 2008 and 2009
Publisher Correction: Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes (Nature Genetics, (2018), 50, 4, (524-537), 10.1038/s41588-018-0058-3)
No full textIn the HTML version of this article initially published, the author groups ‘AFGen Consortium’, ‘Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium’, ‘International Genomics of Blood Pressure (iGEN-BP) Consortium’, ‘INVENT Consortium’, ‘STARNET’, ‘BioBank Japan Cooperative Hospital Group’, ‘COMPASS Consortium’, ‘EPIC-CVD Consortium’, ‘EPIC-InterAct Consortium’, ‘International Stroke Genetics Consortium (ISGC)’, ‘METASTROKE Consortium’, ‘Neurology Working Group of the CHARGE Consortium’, ‘NINDS Stroke Genetics Network (SiGN)’, ‘UK Young Lacunar DNA Study’ and ‘MEGASTROKE Consortium’ appeared at the end of the author list but should have appeared earlier in the list. In addition, the author group ‘MEGASTROKE Consortium’ was duplicated, and its members were not displayed in the ‘Author information’ section. The errors have been corrected in the HTML version of the article
Economic benefits of treating medication-overuse headache - results from the multicenter COMOESTAS project
Get PDFBackground: Medication-overuse headache is a costly disease for individuals and society.
Objective: To estimate the impact of medication-overuse headache treatment on direct and indirect headache-related health care costs.
Methods: This prospective longitudinal study was part of the COMOESTAS project (COntinuous MOnitoring of Medication Overuse Headache in Europe and Latin America: development and STAndardization of an Alert and decision support System). Patients with medication-overuse headache were included from four European and two Latin American headache centers. Costs of acute medication, costs of health care services, and measurements of productivity were calculated at baseline and at 6-month follow-up Treatment consisted of overused drug withdrawal with optional preventive medication.
Results: A total of 475 patients (71%) completed treatment and were followed up for 6 months. Direct health care costs were on average reduced significantly by 52% ( p < 0.001) for the total study population. Significant reductions were seen in both number of consumed tablets (-71%, p < 0.001) and number of visits to physicians (-43%, p < 0.001). Fifty percent of patients reduced their number of consumed tablets ≥ 80%. Headache-related productivity loss, calculated either as absence from work or ≥ 50% reduction of productivity during the workday, were reduced by 21% and 34%, respectively ( p < 0.001).
Conclusion: Standardized treatment of medication-overuse headache in six countries significantly reduced direct health care costs and increased productivity. This emphasizes the importance of increasing awareness of the value of treating medication-overuse headache.Fil: Jellestad, Pernille Linde. Rigshospitalet Glostrup; Dinamarca.Fil: Ninett Carlsen, Louise. Rigshospitalet Glostrup; Dinamarca.Fil: Westergaard, Maria Lurenda. Rigshospitalet Glostrup; Dinamarca.Fil: Munksgaard, Signe Bruun. Rigshospitalet Glostrup; Dinamarca.Fil: Bendtsen, Lars. Rigshospitalet Glostrup; Dinamarca.Fil: Lainez, Miguel J. A. Pontificia Catolica University of Chile; Chile.Fil: Fadic, Ricardo. Foundation of the Valencian Community; España.Fil: Katsarava, Zaza. University of Essen; Alemania.Fil: Goicochea, María Teresa. Fleni. Departamento de Neurología. Clínica del Dolor. Clínica de Cefaleas; Argentina.Fil: Spadafora, Santiago. Universidad ISalud; Argentina.Fil: Højland Jensen, Rigmor. Rigshospitalet Glostrup; Dinamarca.Fil: Nappi, Giuseppe. Mondino National Neurological Institute; Italia. University of Pavia; Italia
Author Correction: Expanded encyclopaedias of DNA elements in the human and mouse genomes
Get PDFOnline Correction for: https://doi.org/10.1038/s41586-020-2493-4 | Erratum for https://bura.brunel.ac.uk/handle/2438/21299In the version of this article initially published, two members of the ENCODE Project Consortium were missing from the author list. Rizi Ai (Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA, USA) and Shantao Li (Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA) are now included in the author list. These errors have been corrected in the online version of the article : 'Expanded encyclopaedias of DNA elements in the human and mouse genomes'.https://www.nature.com/articles/s41586-021-04226-3https://www.nature.com/articles/s41586-021-04226-
Author Correction: Perspectives on ENCODE (Nature, (2020), 583, 7818, (693-698), 10.1038/s41586-020-2449-8)
No full textThe Original Article (https://doi.org/10.1038/s41586-020-2449-8) was published on 29 July 2020.Copyright © The Authors 2022. In this Article, the authors Rizi Ai (Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA, USA) and Shantao Li (Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA) were mistakenly omitted from the ENCODE Project Consortium author list. The original Article has been corrected online
Comparing consortial repositories: a model-driven analysis
No full textThis study aims to provide a comparative assessment of different repository consortia as a reference to inform future work in the area. A review of the literature was used to identify repository consortia, and their features were compared. Three models of consortial repositories were derived from this comparison, based on their structure and aims. The consortial models were based around either: creating a shared repository for the members, developing a repository software platform or creating a metadata harvesting service to aggregate content. Using case studies of each type of repository consortium, each model was assessed in terms of its particular strengths and weaknesses. These strengths were then compared across the models to enable those considering a consortial repository project to assess which model, or combination of models, would best address their needs and to aid in project planning
Fermentation of glucose-xylose-arabinose mixtures by a synthetic consortium of single-sugar-fermenting Saccharomyces cerevisiae strains
No full textD-Glucose, D-xylose and L-arabinose are major sugars in lignocellulosic hydrolysates. This study explores fermentation of glucose-xylose-arabinose mixtures by a consortium of three ‘specialist’ Saccharomyces cerevisiae strains. A D-glucose- and L-arabinose-tolerant xylose specialist was constructed by eliminating hexose phosphorylation in an engineered xylose-fermenting strain and subsequent laboratory evolution. A resulting strain anaerobically grew and fermented D-xylose in the presence of 20 g L-1 of D-glucose and L-arabinose. A synthetic consortium that additionally comprised a similarly obtained arabinose specialist and a pentose-non-fermenting laboratory strain, rapidly and simultaneously converted D-glucose and L-arabinose in anaerobic batch cultures on three-sugar mixtures. However, performance of the xylose specialist was strongly impaired in these mixed cultures. After prolonged cultivation of the consortium on three-sugar mixtures, the time required for complete sugar conversion approached that of a previously constructed and evolved ‘generalist’ strain. In contrast to the generalist strain, whose fermentation kinetics deteriorated during prolonged repeated-batch cultivation on a mixture of 20 g L-1 D-glucose, 10 g L-1 D-xylose and 5 g L-1 L-arabinose, the evolved consortium showed stable fermentation kinetics. Understanding the interactions between specialist strains is a key challenge in further exploring the applicability of this synthetic consortium approach for industrial fermentation of lignocellulosic hydrolysates.Accepted Author ManuscriptBT/Industriele MicrobiologieBT/Biotechnologi
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