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Álvarez-Álvarez L, Vitelli-Storelli F, Rubín-García M, García S, Bouzas C, Ruíz-Canela M, Corella D, Salas-Salvadó J, Fitó M, Martínez JA, Tojal-Sierra L, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Santos-Lozano JM, Serra-Majem L, Bueno-Cavanillas A, García-Fernández C, Esteve-Luque V, Delgado-Rodríguez M, Torrego-Ellacuría M, Vidal J, Prieto L, Daimiel L, Casas R, García Arellano A, Shyam S, González JI, Castañer O, García-Rios A, Ortiz Díaz F, Fernández AC, Sánchez-Villegas A, Morey M, Cano-Ibañez N, Sorto-Sánchez C, Bernal-López MR, Bes-Rastrollo M, Nishi SK, Coltell O, Zomeño MD, Peña-Orihuela PJ, Aparicio DV, Zulet MA, Vázquez Z, Babio N, Pérez KA, Tur JA, Martín-Sánchez V. Impact of mediterranean diet promotion on environmental sustainability: a longitudinal analysis. Public Health 2024; 230:12-20. [PMID: 38479163 DOI: 10.1016/j.puhe.2024.02.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 02/12/2024] [Accepted: 02/14/2024] [Indexed: 04/16/2024]
Abstract
OBJECTIVE This article aims to estimate the differences in environmental impact (greenhouse gas [GHG] emissions, land use, energy used, acidification and potential eutrophication) after one year of promoting a Mediterranean diet (MD). METHODS Baseline and 1-year follow-up data from 5800 participants in the PREDIMED-Plus study were used. Each participant's food intake was estimated using validated semi-quantitative food frequency questionnaires, and the adherence to MD using the Dietary Score. The influence of diet on environmental impact was assessed through the EAT-Lancet Commission tables. The influence of diet on environmental impact was assessed through the EAT-Lancet Commission tables. The association between MD adherence and its environmental impact was calculated using adjusted multivariate linear regression models. RESULTS After one year of intervention, the kcal/day consumed was significantly reduced (-125,1 kcal/day), adherence to a MD pattern was improved (+0,9) and the environmental impact due to the diet was significantly reduced (GHG: -361 g/CO2-eq; Acidification:-11,5 g SO2-eq; Eutrophication:-4,7 g PO4-eq; Energy use:-842,7 kJ; and Land use:-2,2 m2). Higher adherence to MD (high vs. low) was significantly associated with lower environmental impact both at baseline and one year follow-up. Meat products had the greatest environmental impact in all the factors analysed, both at baseline and at one-year follow-up, in spite of the reduction observed in their consumption. CONCLUSIONS A program promoting a MD, after one year of intervention, significantly reduced the environmental impact in all the factors analysed. Meat products had the greatest environmental impact in all the dimensions analysed.
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Affiliation(s)
- L Álvarez-Álvarez
- Group of Investigation in Interactions Gene-Environment and Health (GIIGAS), Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - F Vitelli-Storelli
- Group of Investigation in Interactions Gene-Environment and Health (GIIGAS), Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - M Rubín-García
- Group of Investigation in Interactions Gene-Environment and Health (GIIGAS), Institute of Biomedicine (IBIOMED), University of León, León, Spain.
| | - S García
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands-IUNICS, Guillem Colom Bldg, Campus, E-07122, Palma de Mallorca, Spain
| | - C Bouzas
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands-IUNICS, Guillem Colom Bldg, Campus, E-07122, Palma de Mallorca, Spain
| | - M Ruíz-Canela
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain
| | - D Corella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - J Salas-Salvadó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - M Fitó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - J A Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain; Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - L Tojal-Sierra
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - J Wärnberg
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; EpiPHAAN research group, School of Health Sciences, University of Málaga - Instituto de Investigación Biomédica en Málaga (IBIMA), Málaga, Spain
| | - J Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain
| | - D Romaguera
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - J López-Miranda
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - R Estruch
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - F J Tinahones
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Virgen de la Victoria Hospital, Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA). University of Málaga, Málaga, Spain
| | - J M Santos-Lozano
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - L Serra-Majem
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria & Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas de Gran Canaria, Spain
| | - A Bueno-Cavanillas
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain; Instituto de Investigación Biosanitarias Granada (IBS-Granada), Granada, Spain
| | - C García-Fernández
- Department of Food Hygiene and Technology, Veterinary Faculty, University of León, León, Spain
| | - V Esteve-Luque
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge-IDIBELL, Hospitalet de Llobregat, Barcelona Spain
| | - M Delgado-Rodríguez
- Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain; Division of Preventive Medicine, Faculty of Medicine, University of Jaén, Jaén, Spain
| | - M Torrego-Ellacuría
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - J Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Endocrinology, Institut d' Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - L Prieto
- Department of Endocrinology and Nutrition, Hospital Fundación Jimenez Díaz. Instituto de Investigaciones Biomédicas IISFJD. University Autonoma, Madrid, Spain
| | - L Daimiel
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Nutritional Control of the Epigenome Group. Precision Nutrition and Obesity Program. IMDEA Food, CEI UAM + CSIC, Madrid, Spain; Departamento de Ciencias Farmacéuticas y de la Salud, Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, 28660 Boadilla del Monte, Spain
| | - R Casas
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - A García Arellano
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain
| | - S Shyam
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain; Centre for Translational Research, IMU Institute for Research and Development (IRDI), International Medical University (IMU), Kuala Lumpur 57000, Malaysia
| | - J I González
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - O Castañer
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - A García-Rios
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - F Ortiz Díaz
- Centro Salud San Vicente del Raspeig, Alicante, Spain
| | - A C Fernández
- EpiPHAAN research group, School of Health Sciences, University of Málaga - Instituto de Investigación Biomédica en Málaga (IBIMA), Málaga, Spain; Departament de Geografia, Universitat de les Illes Balears, Palma, Spain
| | - A Sánchez-Villegas
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Nutrition Research Group, Research Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, Las Palmas, Spain
| | - M Morey
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - N Cano-Ibañez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain; Instituto de Investigación Biosanitarias Granada (IBS-Granada), Granada, Spain
| | - C Sorto-Sánchez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - M R Bernal-López
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Internal Medicine Department, Regional University Hospital of Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA-Plataforma Bionand), University of Málaga, Málaga, Spain
| | - M Bes-Rastrollo
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain
| | - S K Nishi
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain; Toronto 3D (Diet, Digestive Tract and Disease) Knowledge Synthesis and Clinical Trials Unit, Toronto, ON, Canada; Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada; Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - O Coltell
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Computer Languages and Systems, Jaume I University, Castellón, Spain
| | - M D Zomeño
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain; Blanquerna-Ramon Llull University, 08022, Barcelona, Spain
| | - P J Peña-Orihuela
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - D V Aparicio
- Centro Salud San Vicente del Raspeig, Alicante, Spain
| | - M A Zulet
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Z Vázquez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, Pamplona, Spain
| | - N Babio
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - K A Pérez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - J A Tur
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - V Martín-Sánchez
- Group of Investigation in Interactions Gene-Environment and Health (GIIGAS), Institute of Biomedicine (IBIOMED), University of León, León, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
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Almasarweh SI, Suntharos P, Saini A, Prieto L, Sasaki J. Contemporary risk factors for a longer hospital stay following bidirectional cavopulmonary anastomosis. Cardiol Young 2023; 33:1529-1535. [PMID: 35997027 DOI: 10.1017/s1047951122002694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND Despite high survival after bidirectional cavopulmonary anastomosis, a considerable number of patients suffer significant post-operative morbidities related to prolonged length of stay. METHODS A single-center retrospective cohort study of all consecutive patients undergoing a first-time bidirectional cavopulmonary anastomosis from 2006 to 2019. RESULTS Prolonged length of stay was defined as hospital stay greater than the 75th percentile for our cohort. Of 195 patients who met inclusion criteria, the median post-operative length of stay was 8 days (interquartile range, 4-15 days). Prolonged length of stay was defined as greater than 15 days. In multivariate analysis, greater than mild systemic atrioventricular valve regurgitation (odds ratio 3.7, 95% CI 1.05-13.068, p = 0.04), longer length of stay after the initial palliative procedure (odds ratio 1.028, 95% CI 1.004-1.05, p = 0.02), and pre-operative higher superior vena cava oxygen saturation (odds ratio 0.922, 95% CI 0.85-0.99, p = 0.04) maintained statistical significance as independent risk and protective factors for prolonged length of stay. A one-level increase in the severity of pre-operative systemic atrioventricular valve regurgitation was associated with a multiplicative change in the odds ratio of prolonged length of stay of 5.45 (p = 0.005) independent of the severity of systemic ventricular dysfunction. CONCLUSION Pre-operative characteristics with greater than mild systemic atrioventricular valve regurgitation, longer length of stay after the initial palliative procedure, and lower superior vena cava oxygen saturation were associated with prolonged length of stay after a first-time bidirectional cavopulmonary anastomosis.
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Affiliation(s)
- Saleem I Almasarweh
- Division of Cardiology, Department of Pediatrics, Children's Healthcare of Atlanta, Atlanta, GE, USA
| | | | - Ashish Saini
- Department of Cardiology, Nicklaus Children's Hospital, Miami, FL, USA
| | - Lourdes Prieto
- Department of Cardiology, Nicklaus Children's Hospital, Miami, FL, USA
| | - Jun Sasaki
- Division of Pediatric Critical Care Medicine, Department of Pediatrics, Weill Cornell Medicine/NewYork-Presbyterian Komansky Children's Hospital, New York, NY, USA
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Aizpurua-Iraola J, Rasal R, Prieto L, Comas D, Bonet N, Casals F, Calafell F, Vásquez P. Population analysis of complete mitogenomes for 334 samples from El Salvador. Forensic Sci Int Genet 2023; 66:102906. [PMID: 37364481 DOI: 10.1016/j.fsigen.2023.102906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 06/09/2023] [Accepted: 06/10/2023] [Indexed: 06/28/2023]
Abstract
The use of mitochondrial DNA (mtDNA) in the field of forensic genetics is widely spread mainly due to its advantages when identifying highly degraded samples. In this sense, massive parallel sequencing has made the analysis of the whole mitogenome more accessible, noticeably increasing the informativeness of mtDNA haplotypes. The civil war (1980-1992) in El Salvador caused many deaths and disappearances (including children) all across the country and the economic and social instability after the war forced many people to emigration. For this reason, different organizations have collected DNA samples from relatives with the aim of identifying missing people. Thus, we present a dataset containing 334 complete mitogenomes from the Salvadoran general population. To the best of our knowledge, this is the first publication of a nationwide forensic-quality complete mitogenome database of any Latin American country. We found 293 different haplotypes, with a random match probability of 0.0041 and 26.6 mean pairwise differences, which is similar to other Latin American populations, and which represent a marked improvement from the values obtained with just control region sequences. These haplotypes belong to 54 different haplogroups, being 91% of them of Native American origin. Over a third (35.9%) of the individuals carried at least a heteroplasmic site (excluding length heteroplasmies). Ultimately, the present database aims to represent mtDNA haplotype diversity in the general Salvadoran populations as a basis for the identification of people that disappeared during or after the civil war.
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Affiliation(s)
- Julen Aizpurua-Iraola
- Institut de Biologia Evolutiva (CSIC-UPF), Universitat Pompeu Fabra, Departament de Medicina i Ciències de la Vida, Barcelona, Spain
| | - Raquel Rasal
- Genomics Core Facility, Departament de Medicina i Ciències de la Vida, Universitat Pompeu Fabra, Parc de Recerca Biomèdica de Barcelona, Barcelona, Spain
| | - Lourdes Prieto
- Instituto de Ciencias Forenses, Universidad de Santiago de Compostela, Santiago de Compostela, Spain; Comisaría General de Policía Científica. DNA Laboratory, Madrid, Spain
| | - David Comas
- Institut de Biologia Evolutiva (CSIC-UPF), Universitat Pompeu Fabra, Departament de Medicina i Ciències de la Vida, Barcelona, Spain
| | - Núria Bonet
- Genomics Core Facility, Departament de Medicina i Ciències de la Vida, Universitat Pompeu Fabra, Parc de Recerca Biomèdica de Barcelona, Barcelona, Spain
| | - Ferran Casals
- Genomics Core Facility, Departament de Medicina i Ciències de la Vida, Universitat Pompeu Fabra, Parc de Recerca Biomèdica de Barcelona, Barcelona, Spain; Departament de Genètica, Microbiologia i Estadística, Universitat de Barcelona, Barcelona, Spain; Institut de Biomedicina de la Universitat de Barcelona (IBUB), Universitat de Barcelona, Barcelona, Spain
| | - Francesc Calafell
- Institut de Biologia Evolutiva (CSIC-UPF), Universitat Pompeu Fabra, Departament de Medicina i Ciències de la Vida, Barcelona, Spain
| | - Patricia Vásquez
- Asociación Pro-Búsqueda de Niñas y Niños Desaparecidos de El Salvador, San Salvador, El Salvador
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Bleka Ø, Prieto L, Gill P. EFMrep: An extension of EuroForMix for improved combination of STR DNA mixture profiles. Forensic Sci Int Genet 2022; 61:102771. [DOI: 10.1016/j.fsigen.2022.102771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 08/19/2022] [Accepted: 08/25/2022] [Indexed: 11/04/2022]
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Green PJ, Mortera J, Prieto L. Casework applications of probabilistic genotyping methods for DNA mixtures that allow relationships between contributors. Forensic Sci Int Genet 2021; 52:102482. [PMID: 33640736 DOI: 10.1016/j.fsigen.2021.102482] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 01/10/2021] [Accepted: 02/08/2021] [Indexed: 10/22/2022]
Abstract
In both criminal cases and civil cases there is an increasing demand for the analysis of DNA mixtures involving relationships. The goal might be, for example, to identify the contributors to a DNA mixture where the unknown donors may be related, or to infer the relationship between individuals based on a DNA mixture. This paper applies a new approach to modelling and computation for DNA mixtures involving contributors with arbitrarily complex relationships to two real cases from the Spanish Forensic Police.
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Affiliation(s)
| | - Julia Mortera
- University of Bristol, UK; Università Roma Tre, Italy.
| | - Lourdes Prieto
- Forensic Sciences Institute, University of Santiago de Compostela, Spain; Comisaría General de Policía Científica, DNA Laboratory, Madrid, Spain
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Patel B, Downing T, Prieto L, Santana-Acosta D. Myocardial infarction due to thrombosis of native aorta late after Fontan procedure for hypoplastic left heart syndrome. Ann Pediatr Cardiol 2021; 14:72-74. [PMID: 33679064 PMCID: PMC7918022 DOI: 10.4103/apc.apc_103_20] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 07/15/2020] [Accepted: 09/17/2020] [Indexed: 11/13/2022] Open
Abstract
Patients with single ventricle physiology who have undergone the Fontan procedure are at risk for long-term complications such as thrombus formation. Thrombus formation in the native aortic root (NAR) can be life-threatening if retrograde filling of the coronary arteries (CAs) is impaired. We present three cases of NAR thrombus with embolization to the CA, resulting in myocardial infarction. Thromboembolic events are well-documented complications of Fontan physiology, and optimal prevention and treatment strategies are poorly defined.
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Affiliation(s)
- Bhavi Patel
- Pediatric Cardiac Critical Care/Cardiology, Nicklaus Children's Hospital, Miami, FL, USA
| | - Tacy Downing
- Pediatric Cardiac Critical Care/Cardiology, Nicklaus Children's Hospital, Miami, FL, USA
| | - Lourdes Prieto
- Pediatric Cardiac Critical Care/Cardiology, Nicklaus Children's Hospital, Miami, FL, USA
| | - Darline Santana-Acosta
- Pediatric Cardiac Critical Care/Cardiology, Nicklaus Children's Hospital, Miami, FL, USA
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7
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Rao S, Challapudi G, Chellu N, Bhimani S, Prieto L, Komarlu R. Selective Coronary Artery Angiography in Hypoplastic Left Heart Syndrome. J Invasive Cardiol 2020; 32:E326-E330. [PMID: 33168779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Coronary artery disease in palliated hypoplastic left heart syndrome is uncommon. Myocardial infarction from a coronary thrombus, serving as a substrate for ventricular arrhythmia in Fontan physiology, is under-reported despite known hypercoagulopathic state. Traditional risk factors for coronary artery occlusion include intracardiac thrombi, hyperlipidemia, and hypertension. Baffle leaks and abnormal ventriculocoronary fistulae found in these patients are contributing factors. We sought to assess and describe coronary artery involvement in this complex patient population. Our research highlights both the need to assess distal coronary vasculature and to thoroughly evaluate hemodynamics and biventricular function with new-onset troponin leak or ventricular arrhythmias.
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Affiliation(s)
| | | | | | | | | | - Rukmini Komarlu
- Department of Pediatric Cardiology, Cleveland Clinic Children's Hospital, 9500 Euclid Avenue, Cleveland, OH 44195 USA.
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8
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Mehta S, Avila J, Niklitschek S, Fernandez F, Villagran C, Vera F, Rocuant R, Cardenas G, Frauenfelder A, Vieira D, Vijayan Y, Pinto G, Vallenilla I, Prieto L, Cardenas J. Enhancing AI-guided STEMI detection algorithms by incorporating higher quality fiduciary EKG elements. Eur Heart J 2020. [DOI: 10.1093/ehjci/ehaa946.3554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
As EKG interpretation paradigms to a physician-free milieu, accumulating massive quantities of distilled pre-processed data becomes a must for machine learning techniques. In our pursuit of reducing ischemic times in STEMI management, we have improved our Artificial Intelligence (AI)-guided diagnostic tool by following a three-step approach: 1) Increase accuracy by adding larger clusters of data. 2) Increase the breadth of EKG classifications to provide more precise feedback and further refine the inputs which ultimately reflects in better and more accurate outputs. 3) Improving the algorithms' ability to discern between cardiovascular entities reflected in the EKG records.
Purpose
To bolster our algorithm's accuracy and reliability for electrocardiographic STEMI recognition.
Methods
Dataset: A total of 7,286 12-lead EKG records of 10-seconds length with a sampling frequency of 500 Hz obtained from Latin America Telemedicine Infarct Network from April 2014 to December 2019. This included the following balanced classes: angiographically confirmed STEMI, branch blocks, non-specific ST-T abnormalities, normal, and abnormal (200+ CPT codes, excluding the ones included in other classes). Labels of each record were manually checked by cardiologists to ensure precision (Ground truth). Pre-processing: First and last 250 samples were discarded to avoid a standardization pulse. Order 5 digital low pass filters with a 35 Hz cut-off was applied. For each record, the mean was subtracted to each individual lead. Classification: Determined classes were “STEMI” and “Not-STEMI” (A combination of randomly sampled normal, branch blocks, non-specific ST-T abnormalities and abnormal records – 25% of each subclass). Training & Testing: A 1-D Convolutional Neural Network was trained and tested with a dataset proportion of 90/10, respectively. The last dense layer outputs a probability for each record of being STEMI or Not-STEMI. Additional testing was performed with a subset of the original complete dataset of unconfirmed STEMI. Performance indicators (accuracy, sensitivity, and specificity) were calculated for each model and results were compared with our previous findings from past experiments.
Results
Complete STEMI data: Accuracy: 95.9% Sensitivity: 95.7% Specificity: 96.5%; Confirmed STEMI: Accuracy: 98.1% Sensitivity: 98.1% Specificity: 98.1%; Prior Data obtained in our previous experiments are shown below for comparison.
Conclusion(s)
After the addition of clustered pre-processed data, all performance indicators for STEMI detection increased considerably between both Confirmed STEMI datasets. On the other hand, the Complete STEMI dataset kept a strong and steady set of performance metrics when compared with past results. These findings not only validate the consistency and reliability of our algorithm but also connotes the importance of creating a pristine dataset for this and any other AI-derived medical tools.
Funding Acknowledgement
Type of funding source: None
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Affiliation(s)
- S Mehta
- Lumen Foundation, Miami, United States of America
| | - J Avila
- Cardionomous AI, Santiago, Chile
| | | | | | | | - F Vera
- Cardionomous AI, Santiago, Chile
| | | | | | | | - D Vieira
- Lumen Foundation, Miami, United States of America
| | - Y Vijayan
- Lumen Foundation, Miami, United States of America
| | - G Pinto
- Lumen Foundation, Miami, United States of America
| | - I Vallenilla
- Lumen Foundation, Miami, United States of America
| | - L Prieto
- Lumen Foundation, Miami, United States of America
| | - J Cardenas
- Lumen Foundation, Miami, United States of America
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9
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Mehta S, Niklitschek S, Fernandez F, Villagran C, Vera F, Frauenfelder A, Vieira D, Ceschim M, Quintero S, Pinto G, Vallenilla I, Perez Del Nogal G, Cardenas J, Prieto L, Luna M. Waddling beyond door to balloon times and impinging true ischemic times with artificial intelligence-guided single lead EKG for STEMI detection. Eur Heart J 2020. [DOI: 10.1093/ehjci/ehaa946.3566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
The present process of STEMI detection is cumbersome as it utilizes outdated equipment and requires a trained technician and an expert cardiologist. We have developed a patient-administered, Artificial Intelligence (AI) guided, Single Lead EKG for early STEMI detection.
Purpose
To answer the question “Is early STEMI detection possible with a Single Lead EKG?”
Methods
We experimented with an AI-guided algorithm for a single-lead EKG for STEMI detection with the following step-wise developments: 1) An AI algorithm that predictably interprets STEMI using a 12-lead EKG; 2) An AI algorithm for STEMI detection using a single-lead EKG; 3) A methodology for identifying the best single lead to detect STEMI; 4) Advanced AI algorithms for STEMI localization with a single-lead EKG. The AI methodology was as follows: Sample: The mammoth Latin American Telemedicine Infarct Network telemedicine database that provides an umbrella of AMI management to 100 million patients in Brazil, Colombia, Mexico, Chile, and Argentina was queried for cardiologist annotated EKG. A total of 8,511 EKG and 90,592 classified heartbeats were selected for the experiments. Preprocessing: segmentation of each ECG into individual heartbeats. Training & Testing: 90% and 10%, respectively, of the total dataset. Classification: 1-D Convolutional Neural Network; classes were construed for each heartbeat. Performance indicators were calculated per lead.
Results
The algorithm was able to provide an accuracy of 91.9%. Lead V2 yielded the best results among individual leads for STEMI detection.
Conclusions
Early experiments provide a framework for augmenting STEMI detection with the use of AI-guided, single lead techniques. Such approaches seem rational as we target the reduction of true STEMI ischemic times.
Funding Acknowledgement
Type of funding source: None
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Affiliation(s)
- S Mehta
- Lumen Foundation, Miami, United States of America
| | | | | | | | - F Vera
- Cardionomous AI, Santiago, Chile
| | | | - D Vieira
- Lumen Foundation, Miami, United States of America
| | - M Ceschim
- Lumen Foundation, Miami, United States of America
| | - S Quintero
- Lumen Foundation, Miami, United States of America
| | - G Pinto
- Lumen Foundation, Miami, United States of America
| | - I Vallenilla
- Lumen Foundation, Miami, United States of America
| | | | - J Cardenas
- Lumen Foundation, Miami, United States of America
| | - L Prieto
- Lumen Foundation, Miami, United States of America
| | - M Luna
- Lumen Foundation, Miami, United States of America
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10
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Mehta S, Gibson M, Niklitschek S, Fernandez F, Villagran C, Escobar E, Vera F, Frauenfelder A, Vieira D, Quintero S, Merchant S, Tamayo C, Ceschim M, Vallenilla I, Prieto L. AI and telemedicine: total remote guidance of AMI management. Eur Heart J 2020. [DOI: 10.1093/ehjci/ehaa946.3478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background
For a decade, Latin American Telemedicine Infarct Network (LATIN) Telemedicine has transformed AMI management in Brazil, Colombia, Mexico, Chile, and Argentina. With a hub and spoke strategy, AMI coverage was expanded to 100 million population and 877,177 telemedicine encounters were performed. Cost savings from avoiding unnecessary transfer of patients was $291 million. We are now rapidly escalating on a path to making the telemedicine process “physician-free” by utilizing Artificial Intelligence (AI) protocols.
Purpose
To demonstrate that AI can replace a cardiologist for remote AMI telemedicine guidance.
Methods
The process of total AI guidance focused on both aspects of our telemedicine strategy – accurate AMI diagnosis and tele-guidance of the entire STEMI process. We developed our innovative approach by initially creating AI algorithms for computer-aided diagnosis. Next, we incorporated logistic variables (duration of chest pain, transfer times to LATIN hub, etc) to the algorithm for physician-free triage into thrombolysis, primary PCI and pharmaco-invasive management. The intent of creating AI algorithms was early STEMI detection and triage. After the patient was efficiently transferred to the hub, a final treatment decision was made by the hub cardiologists.
Results
Three crucial areas of telemedicine efficiency are being monitored – Time-to-Telemedicine Diagnosis (TTD), Door-In-Door-Out (DIDO) and Transfer Times (TT). All are showing improvements. Detailed results will be available at the time of presentation.
Conclusions
We are encouraged with the possibility of making the entire telemedicine guidance of AMI management “physician-free”. Next-Gen improvements are being contemplated by including a Single Lead EKG for AMI detection that will impact symptom-to-balloon times.
Funding Acknowledgement
Type of funding source: None
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Affiliation(s)
- S Mehta
- Lumen Foundation, Miami, United States of America
| | - M Gibson
- Harvard Medical School, Boston, United States of America
| | | | | | | | | | - F Vera
- Cardionomous AI, Santiago, Chile
| | | | - D Vieira
- Lumen Foundation, Miami, United States of America
| | - S Quintero
- Lumen Foundation, Miami, United States of America
| | - S Merchant
- Lumen Foundation, Miami, United States of America
| | - C.J Tamayo
- Lumen Foundation, Miami, United States of America
| | - M Ceschim
- Lumen Foundation, Miami, United States of America
| | - I Vallenilla
- Lumen Foundation, Miami, United States of America
| | - L Prieto
- Lumen Foundation, Miami, United States of America
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11
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Barrio PA, García Ó, Phillips C, Prieto L, Gusmão L, Fernández C, Casals F, Freitas JM, González-Albo MDC, Martín P, Mosquera A, Navarro-Vera I, Paredes M, Pérez JA, Pinzón A, Rasal R, Ruiz-Ramírez J, Trindade BR, Alonso A. The first GHEP-ISFG collaborative exercise on forensic applications of massively parallel sequencing. Forensic Sci Int Genet 2020; 49:102391. [PMID: 32957016 DOI: 10.1016/j.fsigen.2020.102391] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2020] [Revised: 08/20/2020] [Accepted: 08/28/2020] [Indexed: 01/17/2023]
Abstract
One of the main goals of the Spanish and Portuguese-Speaking Working Group of the International Society for Forensic Genetics (GHEP-ISFG) is to promote and contribute to the development and dissemination of scientific knowledge in the field of forensic genetics. The GHEP-ISFG supports several Working Commissions which develop different scientific activities. One of them, the Working Commission on "Massively Parallel Sequencing (MPS): Forensic Applications", organized its first collaborative exercise on forensic applications of MPS technology in 2019. The aim of this exercise was to assess the concordance between the MPS results and those obtained with conventional technologies (capillary electrophoresis and Sanger sequencing), as well as to compare the results obtained within the different MPS platforms and/or the different kits/panels and analysis software packages (commercial and open-access) available on the market. The seven participating laboratories analyzed some samples of the annual GHEP-ISFG proficiency test (EIADN No. 27 (2019)), using Ion Torrent™ or MiSeq FGx® platforms. Six of them sent autosomal STR sequence data, five laboratories performed MPS analysis of individual identification SNPs, four laboratories reported MPS data of Y-chromosomal STRs, and X-chromosomal STRs, three laboratories performed MPS analysis of ancestry informative SNPs and phenotype informative SNPs, two labs performed MPS analysis of the mitochondrial DNA control region, and only one lab produced MPS data of lineage informative SNPs. Autosomal STR sequencing results were highly concordant to the consensus obtained by capillary electrophoresis in the EIADN No. 27 (2019) exercise. Furthermore, in general, a high level of concordance was observed between the results of the participating laboratories, regardless of the platform used. The main discordances were due to errors during the analysis process or from sequence data obtained with low depth of coverage. In this paper we highlight some issues that still arise, such as standardization of the nomenclature for STRs analyzed by sequencing with MPS, the universal uptake of a nomenclature framework by the analysis software, and well established validation and accreditation of the new MPS platforms for use in routine forensic case-work.
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Affiliation(s)
- Pedro A Barrio
- Working Commission on "Massively Parallel Sequencing (MPS): Forensic Applications" of the GHEP-ISFG (The Spanish and Portuguese Speaking Working Group of the International Society for Forensic Genetics), Spain; Biology Service, National Institute of Toxicology and Forensic Sciences, Department of Madrid, Spain.
| | - Óscar García
- Working Commission on "Massively Parallel Sequencing (MPS): Forensic Applications" of the GHEP-ISFG (The Spanish and Portuguese Speaking Working Group of the International Society for Forensic Genetics), Spain; Forensic Science Unit, Forensic Genetics Section, Basque Country Police, Erandio, Bizkaia, Spain
| | - Christopher Phillips
- Working Commission on "Massively Parallel Sequencing (MPS): Forensic Applications" of the GHEP-ISFG (The Spanish and Portuguese Speaking Working Group of the International Society for Forensic Genetics), Spain; Forensic Genetics Unit, University of Santiago de Compostela, Spain
| | - Lourdes Prieto
- Working Commission on "Massively Parallel Sequencing (MPS): Forensic Applications" of the GHEP-ISFG (The Spanish and Portuguese Speaking Working Group of the International Society for Forensic Genetics), Spain; Forensic Genetics Unit, University of Santiago de Compostela, Spain; Comisaría General de Policía Científica, Madrid, Spain
| | - Leonor Gusmão
- Working Commission on "Massively Parallel Sequencing (MPS): Forensic Applications" of the GHEP-ISFG (The Spanish and Portuguese Speaking Working Group of the International Society for Forensic Genetics), Spain; DNA Diagnostics Laboratory (LDD), State University of Rio de Janeiro (UERJ), Rio de Janeiro, Brazil
| | - Coro Fernández
- Quality Service, National Institute of Toxicology and Forensic Sciences, Department of Madrid, Spain
| | - Ferran Casals
- Servei de Genòmica, Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain
| | - Jorge M Freitas
- Instituto Nacional de Criminalística, Polícia Federal, Brazil
| | | | - Pablo Martín
- Biology Service, National Institute of Toxicology and Forensic Sciences, Department of Madrid, Spain
| | - Ana Mosquera
- Forensic Genetics Unit, University of Santiago de Compostela, Spain
| | | | - Manuel Paredes
- Subdirección de Investigación Científica, Instituto Nacional de Medicina Legal y Ciencias Forenses, Colombia
| | - Juan Antonio Pérez
- Forensic Science Unit, Forensic Genetics Section, Basque Country Police, Erandio, Bizkaia, Spain
| | - Andrea Pinzón
- Grupo Nacional de Ciencias Forenses, Instituto Nacional de Medicina Legal y Ciencias Forenses, Colombia
| | - Raquel Rasal
- Servei de Genòmica, Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain
| | | | | | - Antonio Alonso
- Working Commission on "Massively Parallel Sequencing (MPS): Forensic Applications" of the GHEP-ISFG (The Spanish and Portuguese Speaking Working Group of the International Society for Forensic Genetics), Spain; Biology Service, National Institute of Toxicology and Forensic Sciences, Department of Madrid, Spain
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12
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Saragoni VG, Celis RC, Intriago M, Melillán-Sanzana AA, Reyes P, Prieto L, Gill P. Overcoming the undetected inhibition of bone DNA extracts obtained by total demineralization. Forensic Sci Int Genet 2020; 48:102363. [DOI: 10.1016/j.fsigen.2020.102363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2019] [Revised: 07/21/2020] [Accepted: 07/22/2020] [Indexed: 10/23/2022]
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13
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Esteban M, Prieto L, Álvarez-Ossorio J, Gómez A, Cortiñas J, Serrano A, Cózar J. Urological recommendations regarding surgical care of suspected or confirmed SARS-CoV-2 or COVID-19+ patients. Actas Urológicas Españolas (English Edition) 2020. [PMCID: PMC7831435 DOI: 10.1016/j.acuroe.2020.07.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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14
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Steele J, Prieto L, Majdalany D, Stewart R, Najm H, Yaman ME. Congenital and Acquired Systemic Venous Anomalies: A Potpourri of Right to Left Shunts. World J Pediatr Congenit Heart Surg 2020; 11:NP176-NP181. [DOI: 10.1177/2150135118788786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Systemic venous anomalies can occur in isolation or in association with other congenital heart disease. A left superior vena cava draining to a roofed coronary sinus represents the most common venous variant and is usually inconsequential. Embryologic or acquired disruptions in systemic veins can be problematic due to shunting and/or venous obstruction. In this case series, we report four systemic venous anomalies in patients with atrial and ventricular situs solitus. Each case demonstrates how clinically significant right to left shunts can occur from a systemic vein to the left atrium. Diagnosis in each of these patients was delayed due to suboptimal diagnostic testing. Accurate diagnosis can be made by thorough anatomic evaluation of the presence, patency, and drainage of all systemic veins and supported with proper planning and interpretation of bubble studies.
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Affiliation(s)
- Jeremy Steele
- Department of Pediatric Cardiology, Cleveland Clinic Children’s Hospital, Cleveland, OH, USA
| | | | - David Majdalany
- Heart and Vascular Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - Robert Stewart
- Heart and Vascular Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - Hani Najm
- Heart and Vascular Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - Malek El Yaman
- Department of Pediatric Cardiology, Cleveland Clinic Children’s Hospital, Cleveland, OH, USA
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15
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Cyterski M, Barber C, Galvin M, Parmar R, Johnston JM, Smith D, Ignatius A, Prieto L, Wolfe K. PiSCES: Pi(scine) stream community estimation system. Environ Model Softw 2020; 127:10.1016/j.envsoft.2020.104703. [PMID: 33746558 PMCID: PMC7970533 DOI: 10.1016/j.envsoft.2020.104703] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
The Piscine Stream Community Estimation System (PiSCES) provides users with a hypothesized fish community for any stream reach in the conterminous United States using information obtained from Nature Serve, the US Geological Survey (USGS), StreamCat, and the Peterson Field Guide to Freshwater Fishes of North America for over 1000 native and non-native freshwater fish species. PiSCES can filter HUC8-based fish assemblages based on species-specific occurrence models; create a community abundance/biomass distribution by relating relative abundance to mean body weight of each species; and allow users to query its database to see ancillary characteristics of each species (e.g., habitat preferences and maximum size). Future efforts will aim to improve the accuracy of the species distribution database and refine/augment increase the occurrence models. The PiSCES tool is accessible at the EPA's Quantitative Environmental Domain (QED) website at https://qed.epacdx.net/pisces/.
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Affiliation(s)
- Mike Cyterski
- United States Environmental Protection Agency, National Exposure Research Laboratory, Athens, GA, USA
| | - Craig Barber
- United States Environmental Protection Agency, National Exposure Research Laboratory, Athens, GA, USA
| | - Mike Galvin
- United States Environmental Protection Agency, National Exposure Research Laboratory, Athens, GA, USA
| | - Rajbir Parmar
- United States Environmental Protection Agency, National Exposure Research Laboratory, Athens, GA, USA
| | - John M. Johnston
- United States Environmental Protection Agency, National Exposure Research Laboratory, Athens, GA, USA
| | - Deron Smith
- Student Services Contractor, United States Environmental Protection Agency, National Exposure Research Laboratory, Athens, GA, USA
| | - Amber Ignatius
- ORISE Research Associate, Oak Ridge Institute for Science and Education, Oak Ridge, TN, USA
| | - Lourdes Prieto
- United States Environmental Protection Agency, National Exposure Research Laboratory, Athens, GA, USA
| | - Kurt Wolfe
- United States Environmental Protection Agency, National Exposure Research Laboratory, Athens, GA, USA
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16
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García-Navarro C, Jimenez de Ory S, Velo Higueras C, Zamora B, Prieto L, Ramos JT, Navarro ML, Escosa-García L, Jurado-Barba R, Falcón D, Moreno D, González-Tomé MI. Significant differences between verbal and non-verbal intellectual scales on a perinatally HIV-infected cohort: from pediatrics to young adults. Heliyon 2020; 6:e03600. [PMID: 32368635 PMCID: PMC7184518 DOI: 10.1016/j.heliyon.2020.e03600] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2019] [Revised: 09/09/2019] [Accepted: 03/10/2020] [Indexed: 11/30/2022] Open
Abstract
Delayed neurodevelopment is a common outcome in perinatally HIV-infected children. Our aim was to assess the intellectual profile of our cohort, considering both the infection and socio-environmental related variables. A cross-sectional cohort study was undertaken at seven major hospitals in Spain belonging to the CoRISpeS cohort (n = 97). Patients were followed up according to a standard protocol. Intellectual measures, psychosocial profile and HIV infection-related data have been analysed. The average patient age was 15 years. The median CD4 cell percentage was 35% (1,59). Viral load was undetectable in 80% of the patients and 27% were on AIDS category; 38% of whom had encephalopathy. The average composite score of both crystallized intelligence (CI) and intelligence quotient (IQ) for the cohort was lower than that of the general population (p < 0.001). Results revealed a significant difference of 38% between crystallized and fluid intelligence. There was a clear association between IQ and age of diagnosis (p = 0.022); CI and CDC classification (p = 0.035), CD4 count (p = 0.011) and CD4 nadir (p = 0.001). Higher parental education was associated with better performance across all intelligence scales (p < 0.002). A regression model showed that CI was influenced by the academic level of caregivers (p = 0.002), age at start of cART (p = 0.050) and primary language (p = 0.058). Findings revealed significant differences in verbal and non-verbal intellectual scales resulting in a misleading IQ Composite score. Crystallized intelligence demonstrated the highest level of impairment despite adequate treatment and good immunovirological status, while fluid intelligence results were average. Caregiver level of education was the strongest factor across all intelligence measures.
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Affiliation(s)
- C García-Navarro
- Department of Pediatrics, Hospital Universitario 12 de Octubre, Madrid, Spain.,Research Institute Hospital 12 de Octubre (i+12), Spain
| | - S Jimenez de Ory
- Hospital General Universitario Gregorio Marañón, Madrid, Spain.,Instituto de Investigación Sanitaria Hospital Gregorio Marañón (IisGM), Spain
| | - C Velo Higueras
- Department of Pediatrics, Hospital Universitario 12 de Octubre, Madrid, Spain.,Research Institute Hospital 12 de Octubre (i+12), Spain
| | - B Zamora
- Department of Pediatrics, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - L Prieto
- Department of Pediatrics, Hospital Universitario de Getafe, Madrid, Spain
| | - J T Ramos
- Department of Pediatrics, Hospital Clínico San Carlos, Madrid, Spain.,Departamento de Salud Pública y Materno-Infantil UCM, Spain.,Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Spain
| | - M L Navarro
- Hospital General Universitario Gregorio Marañón, Madrid, Spain.,Instituto de Investigación Sanitaria Hospital Gregorio Marañón (IisGM), Spain.,Departamento de Salud Pública y Materno-Infantil UCM, Spain.,Translational Research Network in Pediatric Infectious Diseases (RITIP), Spain
| | - L Escosa-García
- Department of Pediatric HIV and Infectious Diseases, Hospital Universitario La Paz, Madrid, Spain.,La Paz Institute for Health Research (IdiPAZ), Madrid, Spain
| | - R Jurado-Barba
- Research Institute Hospital 12 de Octubre (i+12), Spain.,Department of Psychology, Facultad de Educación y Salud, Universidad Camilo José Cela, Madrid, Spain
| | - Dolores Falcón
- Department of Paediatrics, Hospital Virgen del Rocío, Sevilla, Spain
| | - David Moreno
- Department of Pediatrics, Pediatric Infectology & Immunodeficiency Unit, Regional University Children's Hospital of Malaga, Malaga, Spain.,IBIMA Multidisciplinary Group for Pediatric Research of Malaga, Malaga University, Malaga, Spain
| | - M I González-Tomé
- Department of Pediatrics, Hospital Universitario 12 de Octubre, Madrid, Spain
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17
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Dorado-Moreno M, Navarin N, Gutiérrez P, Prieto L, Sperduti A, Salcedo-Sanz S, Hervás-Martínez C. Multi-task learning for the prediction of wind power ramp events with deep neural networks. Neural Netw 2020; 123:401-411. [DOI: 10.1016/j.neunet.2019.12.017] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2018] [Revised: 10/27/2019] [Accepted: 12/20/2019] [Indexed: 11/17/2022]
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18
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Cornejo-Bueno L, Camacho-Gómez C, Aybar-Ruiz A, Prieto L, Barea-Ropero A, Salcedo-Sanz S. Correction to: Wind power ramp event detection with a hybrid neuro-evolutionary approach. Neural Comput Appl 2020. [DOI: 10.1007/s00521-019-04122-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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19
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Prieto L, Gill P, Bleka Ø. How to avoid driving DNA caseworkers crazy: CaseSolver, an expert system to investigate complex crime scenes. Forensic Science International: Genetics Supplement Series 2019. [DOI: 10.1016/j.fsigss.2019.09.036] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Desmyter S, Dognaux S, Noel F, Prieto L. Base specific variation rates at mtDNA positions 16093 and 16183 in human hairs. Forensic Sci Int Genet 2019; 43:102142. [PMID: 31437782 DOI: 10.1016/j.fsigen.2019.102142] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Revised: 07/25/2019] [Accepted: 08/11/2019] [Indexed: 10/26/2022]
Abstract
Small variations between haplotypes detected in different tissues from the same individual have been previously described. These differences complicate the interpretation of mtDNA results in real forensic casework. mtDNA haplotypes detected in hair strands collected at the crime scene have to be frequently compared with haplotypes of reference samples (buccal swabs) from victims or suspects. Nucleotide position 16093 is a well-known hot spot where differences can accumulate between different tissues of the same individual. Intra individual variation was also detected at positions 16182 and 16183 in haplotypes showing an uninterrupted HV1 poly-C stretch (with 16189C). In order to better characterize the type of variation in these positions between buccal cells and hair strands from the same individual, we have performed Sanger sequencing in 25-28 hair strands (411 in total) from 15 individuals showing either an uninterrupted HV1 polyC-stretch (16189C) or 16093C/Y in their buccal cells. The results have been evaluated by also taking into account our previous results published in [19]. We have found that no variation among hair strands was detected in individuals showing T16093 in buccal cells, while variation in hair strands (T16093, 16093C and 16093Y) were detected in individuals showing 16093C or 16093Y in buccal cells. Regarding nucleotide positions 16182 and 16183 in combination with an uninterrupted polyC-stretch, no variation was detected in hairs from individuals showing A16182 16183C in their buccal cells. In contrast, individuals A16182 A16183 showed hair strands with A16182 16183 M and A16182 16183C. And finally, individuals with 16182C 16183C showed some variation in a small amount of their hair strands (some hairs with 16182 M 16183C). These results can be relevant for forensic practitioners when comparing reference samples with hair strands, which is the type of sample most tested by using mtDNA analysis in forensic casework.
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Affiliation(s)
- Stijn Desmyter
- NICC - Belgian Institute for Forensic Science and Criminology, Vilvoordsesteenweg 100, B-1120, Brussels, Belgium.
| | - Sophie Dognaux
- NICC - Belgian Institute for Forensic Science and Criminology, Vilvoordsesteenweg 100, B-1120, Brussels, Belgium
| | - Fabrice Noel
- NICC - Belgian Institute for Forensic Science and Criminology, Vilvoordsesteenweg 100, B-1120, Brussels, Belgium
| | - Lourdes Prieto
- Instituto de Ciencias Forenses. Grupo de Medicina Xenómica. Universidade de Santiago de Compostela, Spain; Laboratorio ADN. Comisaría General de Policía Científica, Madrid, Spain
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Bleka Ø, Prieto L, Gill P. CaseSolver: An investigative open source expert system based on EuroForMix. Forensic Sci Int Genet 2019; 41:83-92. [DOI: 10.1016/j.fsigen.2019.03.024] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Revised: 03/01/2019] [Accepted: 03/31/2019] [Indexed: 12/17/2022]
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Vajapey R, Lee CM, Prieto L, Ghobrial J, Majdalany D. INCIDENCE OF ATRIAL ARRHYTHMIAS IN ADULT PATIENTS POST-PERCUTANEOUS CLOSURE OF SECUNDUM ATRIAL SEPTAL DEFECT: IMPORTANCE OF AGE AT DIAGNOSIS. J Am Coll Cardiol 2019. [DOI: 10.1016/s0735-1097(19)31251-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Favarato G, Bailey H, Burns F, Prieto L, Soriano-Arandes A, Thorne C. Migrant women living with HIV in Europe: are they facing inequalities in the prevention of mother-to-child-transmission of HIV?: The European Pregnancy and Paediatric HIV Cohort Collaboration (EPPICC) study group in EuroCoord. Eur J Public Health 2019; 28:55-60. [PMID: 28449111 DOI: 10.1093/eurpub/ckx048] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Background In pregnancy early interventions are recommended for prevention of mother-to-child-transmission (PMTCT) of HIV. We examined whether pregnant women who live with HIV in Europe and are migrants encounter barriers in accessing HIV testing and care. Methods Four cohorts within the European Pregnancy and Paediatric HIV Cohort Collaboration provided data for pooled analysis of 11 795 pregnant women who delivered in 2002-12 across ten European countries. We defined a migrant as a woman delivering in a country different from her country of birth and grouped the countries into seven world regions. We compared three suboptimal PMTCT interventions (HIV diagnosis in late pregnancy in women undiagnosed at conception, late anti-retroviral therapy (ART) start in women diagnosed but untreated at conception and detectable viral load (VL) at delivery in women on antenatal ART) in native and migrant women using multivariable logistic regression models. Results Data included 9421 (79.9%) migrant women, mainly from sub-Saharan Africa (SSA); 4134 migrant women were diagnosed in the current pregnancy, often (48.6%) presenting with CD4 count <350 cells/µl. Being a migrant was associated with HIV diagnosis in late pregnancy [OR for SSA vs. native women, 2.12 (95% CI 1.67, 2.69)] but not with late ART start if diagnosed but not on ART at conception, or with detectable VL at delivery once on ART. Conclusions Migrant women were more likely to be diagnosed in late pregnancy but once on ART virological response was good. Good access to antenatal care enables the implementation of PMTCT protocols and optimises both maternal and children health outcomes generally.
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Affiliation(s)
- G Favarato
- Faculty of Population Health Sciences, UCL, UCL Great Ormond Street Institute of Child Health, London, UK
| | - H Bailey
- Faculty of Population Health Sciences, UCL, UCL Great Ormond Street Institute of Child Health, London, UK
| | - F Burns
- Research Department of Infection and Population Health, UCL, London, UK.,Royal Free London NHS Foundation Trust, London, UK
| | - L Prieto
- Department of Paediatrics, Hospital Universitario de Getafe, Madrid, Spain
| | - A Soriano-Arandes
- Paediatric Infectious Diseases and Immunodeficiencies Unit, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - C Thorne
- Faculty of Population Health Sciences, UCL, UCL Great Ormond Street Institute of Child Health, London, UK
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Jhaveri S, Prieto L, Suntharos P. Hammock effect and complete cusp prolapse: Rare mechanisms of Melody valve failure demonstrated by intracardiac echocardiography. Ann Pediatr Cardiol 2019; 12:342-344. [PMID: 31516300 PMCID: PMC6716308 DOI: 10.4103/apc.apc_143_18] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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Martínez-González MA, Buil-Cosiales P, Corella D, Bulló M, Fitó M, Vioque J, Romaguera D, Martínez JA, Wärnberg J, López-Miranda J, Estruch R, Bueno-Cavanillas A, Arós F, Tur JA, Tinahones F, Serra-Majem L, Martín V, Lapetra J, Vázquez C, Pintó X, Vidal J, Daimiel L, Delgado-Rodríguez M, Matía P, Ros E, Fernández-Aranda F, Botella C, Portillo MP, Lamuela-Raventós RM, Marcos A, Sáez G, Gómez-Gracia E, Ruiz-Canela M, Toledo E, Alvarez-Alvarez I, Díez-Espino J, Sorlí JV, Basora J, Castañer O, Schröder H, Navarrete-Muñoz EM, Zulet MA, García-Rios A, Salas-Salvadó J, Corella D, Estruch R, Fitó M, Martínez-González MA, Ros E, Salas-Salvadó J, Babio N, Ros E, Sánchez-Tainta A, Martínez-González MA, Fitó M, Schröder H, Marcos A, Corella D, Wärnberg J, Martínez-González MA, Estruch R, Fernández-Aranda F, Botella C, Salas-Salvadó J, Razquin C, Bes-Rastrollo M, Sanchez Tainta A, Vázquez Z, SanJulian Aranguren B, Goñi E, Goñi L, Barrientos I, Canales M, Sayón-Orea MC, Rico A, Basterra Gortari J, Garcia Arellano A, Lecea-Juarez O, Carlos Cenoz-Osinaga J, Bartolome-Resano J, Sola-Larraza† A, Lozano-Oloriz E, Cano-Valles B, Eguaras S, Güeto V, Pascual Roquet-Jalmar E, Galilea-Zabalza I, Lancova H, Ramallal R, Garcia-Perez ML, Estremera-Urabayen V, Ariz-Arnedo MJ, Hijos-Larraz C, Fernandez Alfaro C, Iñigo-Martinez B, Villanueva Moreno R, Martin-Almendros S, Barandiaran-Bengoetxea L, Fuertes-Goñi C, Lezaun-Indurain A, Guruchaga-Arcelus MJ, Olmedo-Cruz O, Iñigo-Martínez B, Escriche-Erviti L, Ansorena-Ros R, Sanmatin-Zabaleta R, Apalategi-Lasa J, Villanueva-Telleria J, Hernández-Espinosa MM, Arroyo-Bergera I, Herrera-Valdez L, Dorronsoro-Dorronsoro L, González JI, Sorlí JV, Portolés O, Fernández-Carrión R, Ortega-Azorín C, Barragán R, Asensio EM, Coltell O, Sáiz C, Osma R, Férriz E, González-Monje I, Giménez-Fernández F, Quiles L, Carrasco P, San Onofre N, Carratalá-Calvo A, Valero-Barceló C, Antón F, Mir C, Sánchez-Navarro S, Navas J, González-Gallego I, Bort-Llorca L, Pérez-Ollero L, Giner-Valero M, Monfort-Sáez R, Nadal-Sayol J, Pascual-Fuster V, Martínez-Pérez M, Riera C, Belda MV, Medina A, Miralles E, Ramírez-Esplugues MJ, Rojo-Furió M, Mattingley G, Delgado MA, Pages MA, Riofrío Y, Abuomar L, Blasco-Lafarga N, Tosca R, Lizán L, Guillem-Saiz P, Valcarce AM, Medina MD, Monfort R, de Valcárcel S, Tormo N, Felipe-Román O, Lafuente S, Navío EI, Aldana G, Crespo JV, Llosa JL, González-García L, Raga-Marí R, Pedret Llaberia R, Gonzalez R, Sagarra Álamo R, París Palleja F, Balsells J, Roca JM, Basora Gallisa T, Vizcaino J, Llobet Alpizarte P, Anguera Perpiñá C, Llauradó Vernet M, Caballero C, Garcia Barco M, Morán Martínez MD, García Rosselló J, Del Pozo A, Poblet Calaf C, Arcelin Zabal P, Floresví X, Ciutat Benet M, Palau Galindo A, Cabré Vila JJ, Dolz Andrés F, Boj Casajuana J, Ricard M, Saiz F, Isach A, Sanchez Marin Martinez M, Bulló M, Babio N, Becerra-Tomás N, Mestres G, Basora J, Mena-Sánchez G, Barrubés Piñol L, Gil Segura M, Papandreou C, Rosique Esteban N, Chig S, Abellán Cano I, Ruiz García V, Salas-Huetos A, Hernandez P, Canudas S, Camacho-Barcia L, García-Gavilán J, Diaz A, Castañer O, Muñoz MA, Zomeño MD, Hernaéz A, Torres L, Quifer M, Llimona R, Gal LA, Pérez A, Farràs M, Elosua R, Marrugat J, Vila J, Subirana I, Pérez S, Muñoz MA, Goday A, Chillaron Jordan JJ, Flores Lerroux JA, Benaiges Boix D, Farré M, Menoyo E, Muñoz-Aguayo D, Gaixas S, Blanchart G, Sanllorente A, Soria M, Valussi J, Cuenca A, Forcano L, Pastor A, Boronat A, Tello S, Cabañero M, Franco L, Schröder H, De la Torre R, Medrano C, Bayó J, García MT, Robledo V, Babi P, Canals E, Soldevila N, Carrés L, Roca C, Comas MS, Gasulla G, Herraiz X, Martínez A, Vinyoles E, Verdú JM, Masague Aguade M, Baltasar Massip E, Lopez Grau M, Mengual M, Moldon V, Vila Vergaz M, Cabanes Gómez Ciurana R, Gili Riu M, Palomeras Vidal A, Garcia de la Hera M, González Palacios S, Torres Collado L, Valera Gran D, Compañ Gabucio L, Oncina Canovas A, Notario Barandiaran L, Orozco Beltran D, Pertusa Martínez S, Cloquell Rodrigo B, Hernándis Marsán MV, Asensio A, Altozano Rodado MC, Ballester Baixauli JJ, Fernándis Brufal N, Martínez Vergara MC, Román Maciá J, Candela García I, Pedro Cases Pérez E, Tercero Maciá C, Mira Castejón LA, de los Ángeles García García I, Zazo JM, Gisbert Sellés C, Sánchez Botella C, Fiol M, Moñino M, Colom A, Konieczna J, Morey M, Zamanillo R, Galmés AM, Pereira V, Martín MA, Yáñez A, Llobera J, Ripoll J, Prieto R, Grases F, Costa A, Fernández-Palomeque C, Fortuny E, Noris M, Munuera S, Tomás F, Fiol F, Jover A, Janer JM, Vallespir C, Mattei I, Feuerbach N, del Mar Sureda M, Vega S, Quintana L, Fiol A, Amador M, González S, Coll J, Moyá A, Abete I, Cantero I, Cristobo C, Ibero-Baraibar I, Lezáun Burgui MD, Goñi Ruiz N, Bartolomé Resano R, Cano Cáceres E, Elcarte López T, Echarte Osacain E, Pérez Sanz B, Blanco Platero I, Andueza Azcárate SA, Gimeno Aznar A, Ursúa Sesma E, Ojeda Bilbao B, Martinez Jarauta J, Ugalde Sarasa L, Rípodas Echarte B, Güeto Rubio MV, Fernández-Crehuet Navajas J, Gutiérrez Bedmar M, García Rodriguez A, Mariscal Larrubia A, Carnero Varo M, Muñoz Bravo C, Barón-López FJ, Fernández García JC, Pérez-Farinós N, Moreno-Morales N, del C Rodríguez-Martínez M, Pérez-López J, Benavente-Marín JC, Crespo Oliva E, Contreras Fernández E, Carmona González FJ, Carabaño Moral R, Torres Moreno S, Martín Ruíz MV, Alcalá Cornide M, Fuentes Gómez V, Criado García J, Jiménez Morales AI, Delgado Casado N, Ortiz Morales A, Torres Peña JD, Gómez Delgado FJ, Rodríguez Cantalejo F, Caballero Villaraso J, Alcalá JF, Peña Orihuela PJ, Quintana Navarro G, Casas R, Domenech M, Viñas C, Castro-Barquero S, Ruiz-León AM, Sadurní M, Frontana G, Villanueva P, Gual M, Soriano R, Camafort M, Sierra C, Sacanella E, Sala-Vila A, Cots JM, Sarroca I, García M, Bermúdez N, Pérez A, Duaso I, de la Arada A, Hernández R, Simón C, de la Poza MA, Gil I, Vila M, Iglesias C, Assens N, Amatller M, Rams LL, Benet T, Fernández G, Teruel J, Azorin A, Cubells M, López D, Llovet JM, Gómez ML, Climente P, de Paula L, Soto J, Carbonell C, Llor C, Abat X, Cama A, Fortuny M, Domingo C, Liberal AI, Martínez T, Yañez E, Nieto MJ, Pérez A, Lloret E, Carrazoni C, Belles AM, Olmos C, Ramentol M, Capell MJ, Casas R, Giner I, Muñoz A, Martín R, Moron E, Bonillo A, Sánchez G, Calbó C, Pous J, Massip M, García Y, Massagué MC, Ibañez R, Llaona J, Vidal T, Vizcay N, Segura E, Galindo C, Moreno M, Caubet M, Altirriba J, Fluxà G, Toribio P, Torrent E, Anton JJ, Viaplana A, Vieytes G, Duch N, Pereira A, Moreno MA, Pérez A, Sant E, Gené J, Calvillo H, Pont F, Puig M, Casasayas M, Garrich A, Senar E, Martínez A, Boix I, Sequeira E, Aragunde V, Riera S, Salgado M, Fuentes M, Martín E, Ubieto A, Pallarés F, Sala C, Abilla A, Moreno S, Mayor E, Colom T, Gaspar A, Gómez A, Palacios L, Garrigosa R, García Molina L, Riquelme Gallego B, Cano Ibañez N, Maldonado Calvo A, López Maldonado A, Garrido EM, Baena Dominguez A, García Jiménez F, Thomas Carazo E, Jesús Turnes González A, González Jiménez F, Padilla Ruiz F, Machado Santiago J, Martínez Bellón MD, Pueyos Sánchez A, Arribas Mir L, Rodríguez Tapioles R, Dorador Atienza F, Baena Camus L, Osorio Martos C, Rueda Lozano D, López Alcázar M, Ramos Díaz F, Cruz Rosales Sierra M, Alguacil Cubero P, López Rodriguez A, Guerrero García F, Tormo Molina J, Ruiz Rodríguez F, Rekondo J, Salaverria I, Alonso-Gómez A, Belló MC, Loma-Osorio A, Tojal L, Bruyel P, Goicolea L, Sorto C, Casi Casanellas A, Arnal Otero ML, Ortueta Martínez De Arbulo J, Vinagre Morgado J, Romeo Ollora J, Urraca J, Sarriegui Carrera MI, Toribio FJ, Magán E, Rodríguez A, Castro Madrid S, Gómez Merino MT, Rodríguez Jiménez M, Gutiérrez Jodra M, López Alonso B, Iturralde Iriso J, Pascual Romero C, Izquierdo De La Guerra A, Abbate M, Aguilar I, Angullo E, Arenas A, Argelich E, Bibiloni MM, Bisbal Y, Bouzas C, Busquets C, Capó X, Carreres S, De la Peña A, Gallardo L, Gámez JM, García B, García C, Julibert A, Llompart I, Mascaró CM, Mateos D, Montemayor S, Pons A, Ripoll T, Rodríguez T, Salaberry E, Sureda A, Tejada S, Ugarriza L, Valiño L, Bernal López MR, Macías González M, Ruiz Nava J, Fernández García JC, Muñoz Garach A, Vilches Pérez A, González Banderas A, Alcaide Torres J, Vargas Candela A, León Fernández M, Hernández Robles R, Santamaría Fernández S, Marín JM, Valdés Hernández S, Villalobos JC, Ortiz A, Álvarez-Pérez J, Díaz Benítez EM, Díaz-Collado F, Sánchez-Villegas A, Pérez-Cabrera J, Casañas-Quintana LT, García-Guerra RB, Bautista-Castaño I, Ruano-Rodríguez C, Sarmiento de la Fe F, García-Pastor JA, Macías-Gutiérrez B, Falcón-Sanabria I, Simón-García C, Santana-Santana AJ, Álvarez-Álvarez JB, Díaz-González BV, Castillo Anzalas JM, Sosa-Also RE, Medina-Ponce J, Abajo Olea S, Adlbi Sibai A, Aguado Arconada A, Álvarez L, Carriedo Ule E, Escobar Fernández M, Ferradal García JI, Fernández Vázquez JP, García González M, González Donquiles C, González Quintana C, González Rivero F, Lavinia Popescu M, López Gil JI, López de la Iglesia J, Marcos Delgado A, Merino Acevedo C, Reguero Celada S, Rodríguez Bul M, Vilorio-Marqués L, Santos-Lozano JM, Miró-Moriano L, Domínguez-Espinaco C, Vaquero-Díaz S, García-Corte FJ, Santos-Calonge A, Toro-Cortés C, Pelegrina-López N, Urbano-Fernández V, Ortega-Calvo M, Lozano-Rodríguez J, Rivera-Benítez I, Caballero-Valderrama M, Iglesias-Bonilla P, Román-Torres P, Corchado-Albalat Y, Mayoral-Sánchez E, de Cos AI, Gutierrez S, Artola S, Galdon A, Gonzalo I, Más S, Sierra R, Luca B, Prieto L, Galera A, Gimenez-Gracia M, Figueras R, Poch M, Freixedas R, Trias F, Sarasa I, Fanlo M, Lafuente H, Liceran M, Rodriguez-Sanchez A, Pallarols C, Monedero J, Corbella X, Corbella E, Altés A, Vinagre I, Mestres C, Viaplana J, Serra M, Vera J, Freitas T, Ortega E, Pla I, Ordovás JM, Micó V, Berninches L, Concejo MJ, Muñoz J, Adrián M, de la Fuente Y, Albertos C, Villahoz E, Cornejo ML, Gaforio JJ, Moraleda S, Liétor N, Peis JI, Ureña T, Rueda M, Ballesta MI, Moreno Lopera C, Aragoneses Isabel C, Sirur Flores MA, Ceballos de Diego M, Bescos Cáceres T, Peña Cereceda Y, Martínez Abad M, Cabrera Vela R, González Cerrajero M, Rubio Herrera MA, Torrego Ellacuría M, Barabash Bustelo A, Ortiz Ramos M, Garin Barrutia U, Baños R, García-Palacios A, Cerdá Micó C, Estañ Capell N, Iradi A, Fandos Sánchez M. Cohort Profile: Design and methods of the PREDIMED-Plus randomized trial. Int J Epidemiol 2018; 48:387-388o. [PMID: 30476123 DOI: 10.1093/ije/dyy225] [Citation(s) in RCA: 166] [Impact Index Per Article: 27.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/08/2018] [Indexed: 01/04/2023] Open
Affiliation(s)
- Miguel A Martínez-González
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, Pamplona, Spain
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Pilar Buil-Cosiales
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, Pamplona, Spain
- Atención Primaria, Servicio Navarro de Salud-Osasunbidea, Pamplona, Spain
| | - Dolores Corella
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Monica Bulló
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Rovira i Virgili University, Department of Biochemistry and Biotechnology, Human Nutrition Unit, IISPV, Hospital Universitari Sant Joan de Reus, Reus, Spain
| | - Montserrat Fitó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Mèdica (IMIM), Barcelona, Spain
| | - Jesús Vioque
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Miguel Hernandez University, ISABIAL-FISABIO, Alicante, Spain
| | - Dora Romaguera
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Clinical Epidemiology and Public Health Department, Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - J Alfredo Martínez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- University of Navarra, Department of Nutrition, Food Science and Physiology, IDISNA, Pamplona, Spain
| | - Julia Wärnberg
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nursing, School of Health Sciences, University of Málaga-IBIMA, Málaga, Spain
| | - Jose López-Miranda
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Ramón Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Aurora Bueno-Cavanillas
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Granada, Granada, Spain
| | - Fernando Arós
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Cardiology, University Hospital Araba, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Josep A Tur
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - Francisco Tinahones
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Virgen de la Victoria Hospital, Department of Endocrinology, University of Málaga, Málaga, Spain
| | - Lluis Serra-Majem
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- University of Las Palmas de Gran Canaria, Research Institute of Biomedical and Health Sciences (IUIBS), Preventive Medicine Service, Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas, Spain
| | - Vicente Martín
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Jose Lapetra
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Clotilde Vázquez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology, Fundación Jiménez-Díaz, Madrid, Spain
| | - Xavier Pintó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain
| | - Josep Vidal
- CIBER Diabetes y enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Lidia Daimiel
- Nutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Miguel Delgado-Rodríguez
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Division of Preventive Medicine, Faculty of Medicine, University of Jaén, Jaén, Spain
| | - Pilar Matía
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Emilio Ros
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipid Clinic, Department of Endocrinology and Nutrition, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Fernando Fernández-Aranda
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Eating Disorders Unit, Department of Psychiatry, University Hospital of Bellvitge-IDIBELL, Hospitalet del Llobregat, Barcelona, Spain
| | - Cristina Botella
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Basic and Clinical Psychology and Psychobiology, Universitat Jaume I, Castellón de la Plana, Spain
| | - María Puy Portillo
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nutrition and Food Science, Faculty of Pharmacy and Lucio Lascaray Research Center, Universidad del País Vasco (UPV/EHU), Vitoria, Spain
| | - Rosa M Lamuela-Raventós
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nutrition, Food Science and Gastronomy, XaRTA, INSA, -UB, School of Pharmacy and Food Science, University of Barcelona, Barcelona, Spain
| | - Ascensión Marcos
- Institute of Food Science, Technology and Nutrition (ICTAN), Spanish National Research Council (CSIC), Madrid, Spain
| | - Guillermo Sáez
- Department of Biochemistry and Molecular Biology, Faculty of Medicine and Odontology, University Hospital Dr. Peset, University of Valencia, Valencia, Spain
| | | | - Miguel Ruiz-Canela
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, Pamplona, Spain
| | - Estefania Toledo
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, Pamplona, Spain
| | - Ismael Alvarez-Alvarez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, Pamplona, Spain
| | - Javier Díez-Espino
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, Pamplona, Spain
- Atención Primaria, Servicio Navarro de Salud-Osasunbidea, Pamplona, Spain
| | - José V Sorlí
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Josep Basora
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Rovira i Virgili University, Department of Biochemistry and Biotechnology, Human Nutrition Unit, IISPV, Hospital Universitari Sant Joan de Reus, Reus, Spain
| | - Olga Castañer
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Mèdica (IMIM), Barcelona, Spain
| | - Helmut Schröder
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Mèdica (IMIM), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Eva María Navarrete-Muñoz
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Miguel Hernandez University, ISABIAL-FISABIO, Alicante, Spain
| | - Maria Angeles Zulet
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- University of Navarra, Department of Nutrition, Food Science and Physiology, IDISNA, Pamplona, Spain
| | - Antonio García-Rios
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Rovira i Virgili University, Department of Biochemistry and Biotechnology, Human Nutrition Unit, IISPV, Hospital Universitari Sant Joan de Reus, Reus, Spain
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26
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Dorado-Moreno M, Gutiérrez PA, Cornejo-Bueno L, Prieto L, Salcedo-Sanz S, Hervás-Martínez C. Ordinal Multi-class Architecture for Predicting Wind Power Ramp Events Based on Reservoir Computing. Neural Process Lett 2018. [DOI: 10.1007/s11063-018-9922-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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27
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Galizia M, Renapurkar R, Prieto L, Bolen M, Azok J, Lau CT, El-Sherief AH. Radiologic review of acquired pulmonary vein stenosis in adults. Cardiovasc Diagn Ther 2018; 8:387-398. [PMID: 30057885 DOI: 10.21037/cdt.2018.05.05] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Acquired pulmonary vein stenosis (PVS) is an uncommon occurrence in adults, but one that carries significant morbidity/mortality. PVS can be secondary to neoplastic infiltration/extrinsic compression, non-neoplastic infiltration/extrinsic compression, or iatrogenic intervention. This article: (I) reviews the common causes of acquired PVS; (II) illustrates direct and indirect cross-sectional imaging findings in acquired PVS (in order to avoid misinterpretation of these imaging findings); and (III) details the role of imaging before and after the treatment of acquired PVS.
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Affiliation(s)
- Mauricio Galizia
- Division of Thoracic Imaging, Cleveland Clinic, Cleveland, OH, USA.,Division of Thoracic Imaging, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Rahul Renapurkar
- Division of Thoracic Imaging, Cleveland Clinic, Cleveland, OH, USA.,Division of Cardiovascular Imaging, Cleveland Clinic, Cleveland, OH, USA
| | - Lourdes Prieto
- Division of Pediatric Cardiology, Cleveland Clinic, Cleveland, OH, USA
| | - Michael Bolen
- Division of Thoracic Imaging, Cleveland Clinic, Cleveland, OH, USA.,Division of Cardiovascular Imaging, Cleveland Clinic, Cleveland, OH, USA
| | - Joseph Azok
- Division of Thoracic Imaging, Cleveland Clinic, Cleveland, OH, USA
| | - Charles T Lau
- Division of Thoracic Imaging, Cleveland Clinic, Cleveland, OH, USA.,Division of Thoracic Imaging, Palo Alto Veterans Administration Medical Center, Los Angeles, CA, USA.,Stanford University School of Medicine, Stanford, CA, USA
| | - Ahmed H El-Sherief
- Division of Thoracic Imaging, Cleveland Clinic, Cleveland, OH, USA.,Division of Thoracic Imaging, Veterans Administration Greater Los Angeles Healthcare System, Los Angeles, CA, USA.,David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA, USA
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28
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29
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Whelan G, Kim K, Parmar R, Laniak GF, Wolfe K, Galvin M, Molina M, Pachepsky YA, Duda P, Zepp R, Prieto L, Kinzelman JL, Kleinheinz GT, Borchardt MA. Capturing Microbial Sources Distributed in a Mixed-use Watershed within an Integrated Environmental Modeling Workflow. Environ Model Softw 2018; 99:126-146. [PMID: 30078989 PMCID: PMC6069999 DOI: 10.1016/j.envsoft.2017.08.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/30/2023]
Abstract
Many watershed models simulate overland and instream microbial fate and transport, but few provide loading rates on land surfaces and point sources to the waterbody network. This paper describes the underlying equations for microbial loading rates associated with 1) land-applied manure on undeveloped areas from domestic animals; 2) direct shedding (excretion) on undeveloped lands by domestic animals and wildlife; 3) urban or engineered areas; and 4) point sources that directly discharge to streams from septic systems and shedding by domestic animals. A microbial source module, which houses these formulations, is part of a workflow containing multiple models and databases that form a loosely configured modeling infrastructure which supports watershed-scale microbial source-to-receptor modeling by focusing on animal- and human-impacted catchments. A hypothetical application - accessing, retrieving, and using real-world data - demonstrates how the infrastructure can automate many of the manual steps associated with a standard watershed assessment, culminating in calibrated flow and microbial densities at the watershed's pour point.
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Affiliation(s)
- Gene Whelan
- U.S. Environmental Protection Agency, Office of Research and Development, Athens, GA USA
| | - Keewook Kim
- Idaho Falls Center for Higher Education, University of Idaho, Idaho Falls, ID USA (currently at Busan Development Institute, Busan, South Korea)
| | - Rajbir Parmar
- U.S. Environmental Protection Agency, Office of Research and Development, Athens, GA USA
| | - Gerard F. Laniak
- U.S. Environmental Protection Agency, Office of Research and Development, Athens, GA USA
| | - Kurt Wolfe
- U.S. Environmental Protection Agency, Office of Research and Development, Athens, GA USA
| | - Michael Galvin
- U.S. Environmental Protection Agency, Office of Research and Development, Athens, GA USA
| | - Marirosa Molina
- U.S. Environmental Protection Agency, Office of Research and Development, Athens, GA USA
| | - Yakov A. Pachepsky
- U.S. Department of Agriculture, Agricultural Research Service, Beltsville, MD USA
| | - Paul Duda
- AQUA TERRA Consultants, a Division of RESPEC, INC, Decatur, GA USA
| | - Richard Zepp
- U.S. Environmental Protection Agency, Office of Research and Development, Athens, GA USA
| | - Lourdes Prieto
- U.S. Environmental Protection Agency, Office of Research and Development, Athens, GA USA
| | | | - Gregory T. Kleinheinz
- Department of Engineering Technology, University of Wisconsin Oshkosh, Oshkosh, WI USA
| | - Mark A. Borchardt
- U.S. Department of Agriculture, Agricultural Research Service, Marshfield, WI USA
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30
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Prieto L. Tablet-based sublingual immunotherapy for respiratory allergy. Allergol Immunopathol (Madr) 2017; 45 Suppl 1:30-35. [PMID: 29146015 DOI: 10.1016/j.aller.2017.09.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Allergic respiratory disease represents a significant and expanding health problem worldwide. The gold standard of therapeutic intervention is still grucocorticosteroids, although they are not effective in all patients and may cause side effects. Allergen Immunotherapy has been administrated as subcutaneous injections for treatment of allergic rhinoconjunctivitis and asthma and has been practiced for the past century. Sublingual immunotherapy (SLIT) tablets are now available for grass- or ragweed-induced rhinoconjunctivitis and will be available in Spain for house dust mite (HDM)-induced rhinoconjunctivitis and asthma in the next months. In this review, new developments in the field of tablet-based SLIT for respiratory allergy are summarized, with special emphasis on HDM-induced allergic rhinitis and asthma. SLIT tablets are the best-documented immunotherapy products on the market and represent a more patient-friendly concept because they can be self-administrated at home.
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31
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Zhao G, Green CF, Hui YH, Prieto L, Shepard R, Dong S, Wang T, Tan B, Gong X, Kays L, Johnson RL, Wu W, Bhattachar S, Del Prado M, Gillig JR, Fernandez MC, Roth KD, Buchanan S, Kuo MS, Geeganage S, Burkholder TP. Discovery of a Highly Selective NAMPT Inhibitor That Demonstrates Robust Efficacy and Improved Retinal Toxicity with Nicotinic Acid Coadministration. Mol Cancer Ther 2017; 16:2677-2688. [PMID: 29054982 DOI: 10.1158/1535-7163.mct-16-0674] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2016] [Revised: 04/13/2017] [Accepted: 09/21/2017] [Indexed: 11/16/2022]
Abstract
NAMPT, an enzyme essential for NAD+ biosynthesis, has been extensively studied as an anticancer target for developing potential novel therapeutics. Several NAMPT inhibitors have been discovered, some of which have been subjected to clinical investigations. Yet, the on-target hematological and retinal toxicities have hampered their clinical development. In this study, we report the discovery of a unique NAMPT inhibitor, LSN3154567. This molecule is highly selective and has a potent and broad spectrum of anticancer activity. Its inhibitory activity can be rescued with nicotinic acid (NA) against the cell lines proficient, but not those deficient in NAPRT1, essential for converting NA to NAD+ LSN3154567 also exhibits robust efficacy in multiple tumor models deficient in NAPRT1. Importantly, this molecule when coadministered with NA does not cause observable retinal and hematological toxicities in the rodents, yet still retains robust efficacy. Thus, LSN3154567 has the potential to be further developed clinically into a novel cancer therapeutic. Mol Cancer Ther; 16(12); 2677-88. ©2017 AACR.
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Affiliation(s)
- Genshi Zhao
- Cancer Research, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana.
| | - Colin F Green
- Toxicology, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana
| | - Yu-Hua Hui
- Drug Disposition, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana
| | - Lourdes Prieto
- Discovery Chemistry Research, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana
| | - Robert Shepard
- Cancer Research, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana
| | - Sucai Dong
- Cancer Research, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana
| | - Tao Wang
- Cancer Research, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana
| | - Bo Tan
- Toxicology, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana
| | - Xueqian Gong
- Cancer Research, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana
| | - Lisa Kays
- Cancer Research, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana
| | - Robert L Johnson
- Toxicology, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana
| | - Wenjuan Wu
- Cancer Research, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana
| | - Shobha Bhattachar
- Product Design and Developability, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana
| | - Miriam Del Prado
- Discovery Chemistry Research, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana
| | - James R Gillig
- Discovery Chemistry Research, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana
| | - Maria-Carmen Fernandez
- Discovery Chemistry Research, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana
| | - Ken D Roth
- Discovery Chemistry Research, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana
| | - Sean Buchanan
- Cancer Research, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana
| | - Ming-Shang Kuo
- Discovery Chemistry Research, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana
| | - Sandaruwan Geeganage
- Cancer Research, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana
| | - Timothy P Burkholder
- Discovery Chemistry Research, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana
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Dominguez-Ortega J, Delgado J, Blanco C, Prieto L, Arroabarren E, Cimarra M, Henriquez-Santana A, Iglesias-Souto J, Vega-Chicote JM, Tabar AI. Specific allergen immunotherapy for the treatment of allergic asthma: a review of current evidence. J Investig Allergol Clin Immunol 2017; 27:1-35. [PMID: 28603089 DOI: 10.18176/jiaci.0149] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Asthma is frequently associated with atopy, characterized by the production of specific immunoglobulin E in response to environmental allergens. Currently, two types of allergen immunotherapy (AIT) are used in clinical practice: subcutaneous and sublingual immunotherapy, both accepted as key components of the therapeutic repertoire for allergic rhinitis and conjunctivitis. However, their role in asthma remains controversial. The present document is aimed at providing the clinicians with a review of the evidence on the use of AIT in asthma, focusing on the most relevant aspects of its mechanism of action, its efficacy, and existing data on safety, tolerability, and cost-effectivity, both in pediatric and adult populations. A systematic search of MEDLINE, Cochrane, and Clinical Trials databases from 2000 to April of 2016 was carried out by a panel of experts from the Spanish Allergy and Clinical Immunology Scientific Society. Relevant studies prior to the year 2000 included in ulterior systematic reviews were also considered. More than 4000 articles were identified during the search and 241 were selected to retrieve available evidence on AIT, which was graded according to the Oxford classification. All the group members reviewed the resulting text until the final version reached the consensual agreement. A summary of recommendations on the more relevant topics are proposed. The role of AIT as a valuable therapeutic strategy for prevention of exacerbation and progressive decline in lung function is highlighted. Future research should include specific tools for asthma evaluation when assessing AIT effectiveness in asthmatic patients.
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Affiliation(s)
- J Dominguez-Ortega
- Servicio de Alergología, Instituto de Investigación Sanitaria del Hospital Universitario La Paz (IdiPAZ), CIBER de Enfermedades Respiratorias, CIBERES, Madrid, Spain
| | - J Delgado
- Unidad de Gestión Clínica de Alergología, Hospital Virgen Macarena, Sevilla, Spain
| | - C Blanco
- Servicio de Alergia, Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria Princesa (IP), Madrid, Spain
| | - L Prieto
- Sección de Alergología and Universidad de Valencia, Valencia, Spain
| | - E Arroabarren
- Servicio de Alergología, Complejo Hospitalario de Navarra, Pamplona, Spain
| | - M Cimarra
- Servicio de Alergología, Hospital Clínico Universitario San Carlos, Madrid, Spain
| | - A Henriquez-Santana
- Servicio de Alergología, Hospital Universitario Infanta Elena (Valdemoro), Madrid, Spain
| | | | - J M Vega-Chicote
- Unidad de Gestión Clínica de Alergología, Hospital Regional Universitario de Málaga, Spain
| | - A I Tabar
- Servicio de Alergología, Complejo Hospitalario de Navarra, Pamplona, Spain.,Instituto de Investigación Sanitaria de Navarra (IdiSNA), RETIC de Asma, Reacciones adversas y Alérgicas (ARADYAL), Pamplona, Spain
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33
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Alves C, Pereira R, Prieto L, Aler M, Amaral CR, Arévalo C, Berardi G, Di Rocco F, Caputo M, Carmona CH, Catelli L, Costa HA, Coufalova P, Furfuro S, García Ó, Gaviria A, Goios A, Gómez JJB, Hernández A, Hernández EDCB, Miranda L, Parra D, Pedrosa S, Porto MJA, Rebelo MDL, Spirito M, Torres MDCV, Amorim A, Pereira F. Species identification in forensic samples using the SPInDel approach: A GHEP-ISFG inter-laboratory collaborative exercise. Forensic Sci Int Genet 2017; 28:219-224. [DOI: 10.1016/j.fsigen.2017.03.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2017] [Revised: 03/02/2017] [Accepted: 03/03/2017] [Indexed: 10/20/2022]
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Felder CC, Schober DA, Tu Y, Quets A, Xiao H, Watt M, Siuda E, Nisenbaum E, Xiang C, Heinz B, Prieto L, McKinzie DL, Monn JA. Translational Pharmacology of the Metabotropic Glutamate 2 Receptor–Preferring Agonist LY2812223 in the Animal and Human Brain. J Pharmacol Exp Ther 2017; 361:190-197. [DOI: 10.1124/jpet.116.237859] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2016] [Accepted: 01/12/2017] [Indexed: 11/22/2022] Open
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Anton R, Haas M, Arlett P, Weise M, Balabanov P, Mazzaglia G, Prieto L, Keller-Stanislawski B, Raine J. Drug-induced progressive multifocal leukoencephalopathy in multiple sclerosis: European regulators' perspective. Clin Pharmacol Ther 2017; 102:283-289. [DOI: 10.1002/cpt.604] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2016] [Revised: 12/12/2016] [Accepted: 12/13/2016] [Indexed: 01/13/2023]
Affiliation(s)
- R Anton
- European Medicines Agency; London United Kingdom
| | - M Haas
- European Medicines Agency; London United Kingdom
| | - P Arlett
- European Medicines Agency; London United Kingdom
| | - M Weise
- Federal Institute for Drugs and Medical Devices; Bonn Germany
| | - P Balabanov
- European Medicines Agency; London United Kingdom
| | - G Mazzaglia
- European Medicines Agency; London United Kingdom
| | - L Prieto
- European Medicines Agency; London United Kingdom
| | - B Keller-Stanislawski
- Department of Safety of Medicinal Products and Medical Devices; Paul-Ehrlich Institute, Federal Institute for Vaccines and Biomedicines; Langen Germany
| | - J Raine
- Medicines and Healthcare Products Regulatory Agency; London United Kingdom
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Amorim A, Crespillo M, Luque JA, Prieto L, Garcia O, Gusmão L, Aler M, Barrio PA, Saragoni VG, Pinto N. Formulation and communication of evaluative forensic science expert opinion—A GHEP-ISFG contribution to the establishment of standards. Forensic Sci Int Genet 2016; 25:210-213. [DOI: 10.1016/j.fsigen.2016.09.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2016] [Revised: 06/30/2016] [Accepted: 09/02/2016] [Indexed: 11/29/2022]
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Gijón M, Bellusci M, Petraitiene B, Noguera-Julian A, Zilinskaite V, Sanchez Moreno P, Saavedra-Lozano J, Glikman D, Daskalaki M, Kaiser-Labusch P, Falup-Pecurariu O, Montagnani C, Prieto L, Gené A, Trumpulyte G, Kulecnikova I, Lepe JA, Cercenado E, Kudinsky R, Makri A, Huppertz HI, Bleotu L, Cocchi P, García-Hierro P, Vitkauskiene A, Fortuny C, Zukovskaja V, Neth O, Santos M, Rokney A, Petra M, Lixandru R, Galli L, Guillén S, Chaves F, Rojo Conejo P. Factors associated with severity in invasive community-acquired Staphylococcus aureus infections in children: a prospective European multicentre study. Clin Microbiol Infect 2016; 22:643.e1-6. [PMID: 27107685 DOI: 10.1016/j.cmi.2016.04.004] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2016] [Revised: 03/17/2016] [Accepted: 04/05/2016] [Indexed: 11/30/2022]
Abstract
Staphylococcus aureus is the main pathogen responsible for bone and joint infections worldwide and is also capable of causing pneumonia and other invasive severe diseases. Panton-Valentine leukocidin (PVL) and methicillin-resistant S. aureus (MRSA) have been studied as factors related with severity in these infections. The aims of this study were to describe invasive community-acquired S. aureus (CA-SA) infections and to analyse factors related to severity of disease. Paediatric patients (aged 0-16 years) who had a CA-SA invasive infection were prospectively recruited from 13 centres in 7 European countries. Demographic, clinical and microbiological data were collected. Severe infection was defined as invasive infection leading to death or admission to intensive care due to haemodynamic instability or respiratory failure. A total of 152 children (88 boys) were included. The median age was 7.2 years (interquartile range, 1.3-11.9). Twenty-six (17%) of the 152 patients had a severe infection, including 3 deaths (2%). Prevalence of PVL-positive CA-SA infections was 18.6%, and 7.8% of the isolates were MRSA. The multivariate analysis identified pneumonia (adjusted odds ratio (aOR) 13.39 (95% confidence interval (CI) 4.11-43.56); p 0.008), leukopenia at admission (<3000/mm(3)) (aOR 18.3 (95% CI 1.3-259.9); p 0.03) and PVL-positive infections (aOR 4.69 (95% CI 1.39-15.81); p 0.01) as the only factors independently associated with severe outcome. There were no differences in MRSA prevalence between severe and nonsevere cases (aOR 4.30 (95% CI 0.68- 28.95); p 0.13). Our results show that in European children, PVL is associated with more severe infections, regardless of methicillin resistance.
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Affiliation(s)
- M Gijón
- Pediatric Infectious Diseases, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - M Bellusci
- Pediatric Infectious Diseases, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - B Petraitiene
- Pediatric Infectious Diseases, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - A Noguera-Julian
- Pediatric Infectious Diseases, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - V Zilinskaite
- Pediatric Infectious Diseases, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - P Sanchez Moreno
- Pediatric Infectious Diseases, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - J Saavedra-Lozano
- Pediatric Infectious Diseases, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - D Glikman
- Pediatric Infectious Diseases, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - M Daskalaki
- Pediatric Infectious Diseases, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - P Kaiser-Labusch
- Pediatric Infectious Diseases, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - O Falup-Pecurariu
- Pediatric Infectious Diseases, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - C Montagnani
- Pediatric Infectious Diseases, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - L Prieto
- Pediatric Infectious Diseases, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - A Gené
- Pediatric Infectious Diseases, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - G Trumpulyte
- Pediatric Infectious Diseases, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - I Kulecnikova
- Pediatric Infectious Diseases, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - J A Lepe
- Pediatric Infectious Diseases, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - E Cercenado
- Pediatric Infectious Diseases, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - R Kudinsky
- Pediatric Infectious Diseases, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - A Makri
- Pediatric Infectious Diseases, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - H I Huppertz
- Pediatric Infectious Diseases, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - L Bleotu
- Pediatric Infectious Diseases, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - P Cocchi
- Pediatric Infectious Diseases, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - P García-Hierro
- Pediatric Infectious Diseases, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - A Vitkauskiene
- Pediatric Infectious Diseases, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - C Fortuny
- Pediatric Infectious Diseases, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - V Zukovskaja
- Pediatric Infectious Diseases, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - O Neth
- Pediatric Infectious Diseases, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - M Santos
- Pediatric Infectious Diseases, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - A Rokney
- Pediatric Infectious Diseases, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - M Petra
- Pediatric Infectious Diseases, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - R Lixandru
- Pediatric Infectious Diseases, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - L Galli
- Pediatric Infectious Diseases, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - S Guillén
- Pediatric Infectious Diseases, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - F Chaves
- Pediatric Infectious Diseases, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - P Rojo Conejo
- Pediatric Infectious Diseases, Hospital Universitario 12 de Octubre, Madrid, Spain.
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Devanagondi R, Latson L, Bradley-Skelton S, Prieto L. Results of coil closure of patent ductus arteriosus using a tapered tip catheter for enhanced control. Catheter Cardiovasc Interv 2016; 88:233-8. [PMID: 26800854 DOI: 10.1002/ccd.26415] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2015] [Revised: 11/01/2015] [Accepted: 12/26/2015] [Indexed: 11/08/2022]
Abstract
OBJECTIVES This article describes the efficacy and embolization rates of coil delivery via modified vertebral catheter (MVC) for patent ductus arteriosus (PDA) closure. BACKGROUND Various techniques have been devised to enhance coil control and prevent embolization during PDA closure. Since 1995, they have delivered coils via tapered vertebral catheters for improved coil control. METHODS Catheterization reports, angiograms, and echocardiograms were reviewed for patients with PDA occlusion via MVC from 2001 to 2014. Residual shunting was determined by angiography and echocardiogram within 24 hr post-procedure. Procedural success was defined as ≤ trivial angiographic and echocardiographic shunt, and no aortic nor LPA obstruction, after final coil delivery. RESULTS About 125 coil occlusions were attempted in 103 patients. Minimal PDA diameter was 2 (0.6-6) mm. Four coils were removed with a snare/bioptome due to aortic/LPA obstruction following release. Seven were malpositioned while still held by the MVC of which three embolized while attempting withdrawal. Five embolized after full release from the MVC. The embolization rate was 6.4%. Embolizations were more likely in PDAs ≥ 2.5 mm (P < 0.05). Ultimately, 98/103 PDAs were occluded using the MVC. No patient had greater trivial residual shunt or aortic/LPA obstruction for an overall success rate of 95%. For PDAs < 2.5 mm the success rate was 97%. CONCLUSIONS Coil delivery via MVC was safe and effective for small PDAs. While fully controlled release and retrieval devices are now available for PDA closure with lower embolization rates, coil occlusion by MVC should still be considered for small PDAs, especially in resource limited regions. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Rajiv Devanagondi
- Division of Pediatric Cardiology, Golisano Children's Hospital, University of Rochester Medical Center, Rochester, New York
| | - Larry Latson
- Heart Center, Joe DiMaggio Children's Hospital, Hollywood, Florida
| | - Sharon Bradley-Skelton
- Center for Pediatric and Congenital Heart Disease, Cleveland Clinic Foundation, Cleveland, Ohio
| | - Lourdes Prieto
- Center for Pediatric and Congenital Heart Disease, Cleveland Clinic Foundation, Cleveland, Ohio
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Monn JA, Prieto L, Taboada L, Hao J, Reinhard MR, Henry SS, Beadle CD, Walton L, Man T, Rudyk H, Clark B, Tupper D, Baker SR, Lamas C, Montero C, Marcos A, Blanco J, Bures M, Clawson DK, Atwell S, Lu F, Wang J, Russell M, Heinz BA, Wang X, Carter JH, Getman BG, Catlow JT, Swanson S, Johnson BG, Shaw DB, McKinzie DL. Synthesis and Pharmacological Characterization of C4-(Thiotriazolyl)-substituted-2-aminobicyclo[3.1.0]hexane-2,6-dicarboxylates. Identification of (1R,2S,4R,5R,6R)-2-Amino-4-(1H-1,2,4-triazol-3-ylsulfanyl)bicyclo[3.1.0]hexane-2,6-dicarboxylic Acid (LY2812223), a Highly Potent, Functionally Selective mGlu2 Receptor Agonist. J Med Chem 2015; 58:7526-48. [PMID: 26313429 DOI: 10.1021/acs.jmedchem.5b01124] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Identification of orthosteric mGlu(2/3) receptor agonists capable of discriminating between individual mGlu2 and mGlu3 subtypes has been highly challenging owing to the glutamate-site sequence homology between these proteins. Herein we detail the preparation and characterization of a series of molecules related to (1S,2S,5R,6S)-2-aminobicyclo[3.1.0]hexane-2,6-dicarboxylate 1 (LY354740) bearing C4-thiotriazole substituents. On the basis of second messenger responses in cells expressing other recombinant human mGlu2/3 subtypes, a number of high potency and efficacy mGlu2 receptor agonists exhibiting low potency mGlu3 partial agonist/antagonist activity were identified. From this, (1R,2S,4R,5R,6R)-2-amino-4-(1H-1,2,4-triazol-3-ylsulfanyl)bicyclo[3.1.0]hexane-2,6-dicarboxylic acid 14a (LY2812223) was further characterized. Cocrystallization of 14a with the amino terminal domains of hmGlu2 and hmGlu3 combined with site-directed mutation studies has clarified the underlying molecular basis of this unique pharmacology. Evaluation of 14a in a rat model responsive to mGlu2 receptor activation coupled with a measure of central drug disposition provides evidence that this molecule engages and activates central mGlu2 receptors in vivo.
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Affiliation(s)
- James A Monn
- Discovery Chemistry Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition and ⊥Neuroscience Research, Eli Lilly and Company , Lilly Corporate Center, Drop 0510, Indianapolis, Indiana 46285, United States
| | - Lourdes Prieto
- Discovery Chemistry Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition and ⊥Neuroscience Research, Eli Lilly and Company , Lilly Corporate Center, Drop 0510, Indianapolis, Indiana 46285, United States
| | - Lorena Taboada
- Discovery Chemistry Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition and ⊥Neuroscience Research, Eli Lilly and Company , Lilly Corporate Center, Drop 0510, Indianapolis, Indiana 46285, United States
| | - Junliang Hao
- Discovery Chemistry Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition and ⊥Neuroscience Research, Eli Lilly and Company , Lilly Corporate Center, Drop 0510, Indianapolis, Indiana 46285, United States
| | - Matthew R Reinhard
- Discovery Chemistry Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition and ⊥Neuroscience Research, Eli Lilly and Company , Lilly Corporate Center, Drop 0510, Indianapolis, Indiana 46285, United States
| | - Steven S Henry
- Discovery Chemistry Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition and ⊥Neuroscience Research, Eli Lilly and Company , Lilly Corporate Center, Drop 0510, Indianapolis, Indiana 46285, United States
| | - Christopher D Beadle
- Discovery Chemistry Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition and ⊥Neuroscience Research, Eli Lilly and Company , Lilly Corporate Center, Drop 0510, Indianapolis, Indiana 46285, United States
| | - Lesley Walton
- Discovery Chemistry Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition and ⊥Neuroscience Research, Eli Lilly and Company , Lilly Corporate Center, Drop 0510, Indianapolis, Indiana 46285, United States
| | - Teresa Man
- Discovery Chemistry Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition and ⊥Neuroscience Research, Eli Lilly and Company , Lilly Corporate Center, Drop 0510, Indianapolis, Indiana 46285, United States
| | - Helene Rudyk
- Discovery Chemistry Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition and ⊥Neuroscience Research, Eli Lilly and Company , Lilly Corporate Center, Drop 0510, Indianapolis, Indiana 46285, United States
| | - Barry Clark
- Discovery Chemistry Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition and ⊥Neuroscience Research, Eli Lilly and Company , Lilly Corporate Center, Drop 0510, Indianapolis, Indiana 46285, United States
| | - David Tupper
- Discovery Chemistry Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition and ⊥Neuroscience Research, Eli Lilly and Company , Lilly Corporate Center, Drop 0510, Indianapolis, Indiana 46285, United States
| | - S Richard Baker
- Discovery Chemistry Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition and ⊥Neuroscience Research, Eli Lilly and Company , Lilly Corporate Center, Drop 0510, Indianapolis, Indiana 46285, United States
| | - Carlos Lamas
- Discovery Chemistry Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition and ⊥Neuroscience Research, Eli Lilly and Company , Lilly Corporate Center, Drop 0510, Indianapolis, Indiana 46285, United States
| | - Carlos Montero
- Discovery Chemistry Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition and ⊥Neuroscience Research, Eli Lilly and Company , Lilly Corporate Center, Drop 0510, Indianapolis, Indiana 46285, United States
| | - Alicia Marcos
- Discovery Chemistry Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition and ⊥Neuroscience Research, Eli Lilly and Company , Lilly Corporate Center, Drop 0510, Indianapolis, Indiana 46285, United States
| | - Jaime Blanco
- Discovery Chemistry Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition and ⊥Neuroscience Research, Eli Lilly and Company , Lilly Corporate Center, Drop 0510, Indianapolis, Indiana 46285, United States
| | - Mark Bures
- Discovery Chemistry Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition and ⊥Neuroscience Research, Eli Lilly and Company , Lilly Corporate Center, Drop 0510, Indianapolis, Indiana 46285, United States
| | - David K Clawson
- Discovery Chemistry Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition and ⊥Neuroscience Research, Eli Lilly and Company , Lilly Corporate Center, Drop 0510, Indianapolis, Indiana 46285, United States
| | - Shane Atwell
- Discovery Chemistry Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition and ⊥Neuroscience Research, Eli Lilly and Company , Lilly Corporate Center, Drop 0510, Indianapolis, Indiana 46285, United States
| | - Frances Lu
- Discovery Chemistry Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition and ⊥Neuroscience Research, Eli Lilly and Company , Lilly Corporate Center, Drop 0510, Indianapolis, Indiana 46285, United States
| | - Jing Wang
- Discovery Chemistry Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition and ⊥Neuroscience Research, Eli Lilly and Company , Lilly Corporate Center, Drop 0510, Indianapolis, Indiana 46285, United States
| | - Marijane Russell
- Discovery Chemistry Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition and ⊥Neuroscience Research, Eli Lilly and Company , Lilly Corporate Center, Drop 0510, Indianapolis, Indiana 46285, United States
| | - Beverly A Heinz
- Discovery Chemistry Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition and ⊥Neuroscience Research, Eli Lilly and Company , Lilly Corporate Center, Drop 0510, Indianapolis, Indiana 46285, United States
| | - Xushan Wang
- Discovery Chemistry Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition and ⊥Neuroscience Research, Eli Lilly and Company , Lilly Corporate Center, Drop 0510, Indianapolis, Indiana 46285, United States
| | - Joan H Carter
- Discovery Chemistry Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition and ⊥Neuroscience Research, Eli Lilly and Company , Lilly Corporate Center, Drop 0510, Indianapolis, Indiana 46285, United States
| | - Brian G Getman
- Discovery Chemistry Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition and ⊥Neuroscience Research, Eli Lilly and Company , Lilly Corporate Center, Drop 0510, Indianapolis, Indiana 46285, United States
| | - John T Catlow
- Discovery Chemistry Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition and ⊥Neuroscience Research, Eli Lilly and Company , Lilly Corporate Center, Drop 0510, Indianapolis, Indiana 46285, United States
| | - Steven Swanson
- Discovery Chemistry Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition and ⊥Neuroscience Research, Eli Lilly and Company , Lilly Corporate Center, Drop 0510, Indianapolis, Indiana 46285, United States
| | - Bryan G Johnson
- Discovery Chemistry Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition and ⊥Neuroscience Research, Eli Lilly and Company , Lilly Corporate Center, Drop 0510, Indianapolis, Indiana 46285, United States
| | - David B Shaw
- Discovery Chemistry Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition and ⊥Neuroscience Research, Eli Lilly and Company , Lilly Corporate Center, Drop 0510, Indianapolis, Indiana 46285, United States
| | - David L McKinzie
- Discovery Chemistry Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition and ⊥Neuroscience Research, Eli Lilly and Company , Lilly Corporate Center, Drop 0510, Indianapolis, Indiana 46285, United States
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Vullo CM, Romero M, Catelli L, Šakić M, Saragoni VG, Jimenez Pleguezuelos MJ, Romanini C, Anjos Porto MJ, Puente Prieto J, Bofarull Castro A, Hernandez A, Farfán MJ, Prieto V, Alvarez D, Penacino G, Zabalza S, Hernández Bolaños A, Miguel Manterola I, Prieto L, Parsons T. GHEP-ISFG collaborative simulated exercise for DVI/MPI: Lessons learned about large-scale profile database comparisons. Forensic Sci Int Genet 2015; 21:45-53. [PMID: 26716885 DOI: 10.1016/j.fsigen.2015.11.004] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2015] [Revised: 11/13/2015] [Accepted: 11/17/2015] [Indexed: 11/24/2022]
Abstract
The GHEP-ISFG Working Group has recognized the importance of assisting DNA laboratories to gain expertise in handling DVI or missing persons identification (MPI) projects which involve the need for large-scale genetic profile comparisons. Eleven laboratories participated in a DNA matching exercise to identify victims from a hypothetical conflict with 193 missing persons. The post mortem database was comprised of 87 skeletal remain profiles from a secondary mass grave displaying a minimal number of 58 individuals with evidence of commingling. The reference database was represented by 286 family reference profiles with diverse pedigrees. The goal of the exercise was to correctly discover re-associations and family matches. The results of direct matching for commingled remains re-associations were correct and fully concordant among all laboratories. However, the kinship analysis for missing persons identifications showed variable results among the participants. There was a group of laboratories with correct, concordant results but nearly half of the others showed discrepant results exhibiting likelihood ratio differences of several degrees of magnitude in some cases. Three main errors were detected: (a) some laboratories did not use the complete reference family genetic data to report the match with the remains, (b) the identity and/or non-identity hypotheses were sometimes wrongly expressed in the likelihood ratio calculations, and (c) many laboratories did not properly evaluate the prior odds for the event. The results suggest that large-scale profile comparisons for DVI or MPI is a challenge for forensic genetics laboratories and the statistical treatment of DNA matching and the Bayesian framework should be better standardized among laboratories.
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Affiliation(s)
- Carlos M Vullo
- Equipo Argentino de Antropología Forense (EAAF), Córdoba, Argentina.
| | - Magdalena Romero
- Equipo Argentino de Antropología Forense (EAAF), Córdoba, Argentina
| | - Laura Catelli
- Equipo Argentino de Antropología Forense (EAAF), Córdoba, Argentina
| | - Mustafa Šakić
- International Commission for Missing Persons (ICMP), USA
| | | | - María Jose Jimenez Pleguezuelos
- Unitat Central de Laboratori Biològic, Divisió de Policia Científica, Policia de la Generalitat-Mossos d'Esquadra, BCN, Spain
| | - Carola Romanini
- Equipo Argentino de Antropología Forense (EAAF), Córdoba, Argentina
| | | | | | | | - Alexis Hernandez
- Instituto Nacional de Toxicología y Ciencias Forenses, (INTCF), Canarias, Spain
| | - María José Farfán
- Instituto Nacional de Toxicología y Ciencias Forenses, (INTCF), Madrid, Spain
| | - Victoria Prieto
- Instituto Nacional de Toxicología y Ciencias Forenses, (INTCF), Sevilla, Spain
| | - David Alvarez
- Laboratorio de ADN, Unidad Central de Análisis Científicos, Comisaría General de Policía Científica, Madrid, Spain
| | | | | | | | | | - Lourdes Prieto
- Instituto de Ciencias Forenses, Grupo de Medicina Xenómica, Universidade de Santiago de Compostela, Spain
| | - Thomas Parsons
- International Commission for Missing Persons (ICMP), USA
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Esteban M, Adot J, Arlandis S, Peri L, Prieto L, Salinas J, Cozar J. Recommendations for the Diagnosis and Management of Bladder Pain Syndrome. Spanish Urological Association Consensus Document. Actas Urol Esp 2015; 39:465-72. [PMID: 26026254 DOI: 10.1016/j.acuro.2015.01.006] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2014] [Revised: 01/20/2015] [Accepted: 01/21/2015] [Indexed: 11/25/2022]
Abstract
INTRODUCTION Bladder Pain Syndrome/Interstitial Cystitis (BPS/IC) and other bladder pathologies share common manifestations, such as the presence of mictional symptoms and a negative impact on the patient's quality of life. To be properly diagnosed and clinically managed, it is important to distinguish between its clinical modalities and diagnostic criteria for adequate exclusion. OBJECTIVE The purpose of this study was to standardize criteria for making decisions in BPS management, for its diagnosis, initial treatment and follow-up. MATERIAL AND METHOD A nominal group methodology was employed, using scientific evidence on BPS taken from a systematic (non-exhaustive) literature review for developing recommendations along with specialist expert opinions. RESULTS The diagnosis of BPS should be made based on the patient's clinical history, with emphasis on pain and mictional symptoms as well as excluding other pathologies with similar symptomatology. BPS treatment should be directed towards restoring normal bladder function, preventing symptom relapse and improving patients' quality of life. It is therefore advisable to start with conservative treatment and to adopt less conservative treatments as the level of clinical severity increases. It is also recommended to abandon ineffective treatments and reconsider other therapeutic options. CONCLUSIONS Quickly identifying the pathology is important when trying to positively influence morbidity and care quality for these patients.
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Crise A, Kaberi H, Ruiz J, Zatsepin A, Arashkevich E, Giani M, Karageorgis AP, Prieto L, Pantazi M, Gonzalez-Fernandez D, Ribera d'Alcalà M, Tornero V, Vassilopoulou V, Durrieu de Madron X, Guieu C, Puig P, Zenetos A, Andral B, Angel D, Altukhov D, Ayata SD, Aktan Y, Balcıoğlu E, Benedetti F, Bouchoucha M, Buia MC, Cadiou JF, Canals M, Chakroun M, Christou E, Christidis MG, Civitarese G, Coatu V, Corsini-Foka M, Cozzi S, Deidun A, Dell'Aquila A, Dogrammatzi A, Dumitrache C, Edelist D, Ettahiri O, Fonda-Umani S, Gana S, Galgani F, Gasparini S, Giannakourou A, Gomoiu MT, Gubanova A, Gücü AC, Gürses Ö, Hanke G, Hatzianestis I, Herut B, Hone R, Huertas E, Irisson JO, İşinibilir M, Jimenez JA, Kalogirou S, Kapiris K, Karamfilov V, Kavadas S, Keskin Ç, Kideyş AE, Kocak M, Kondylatos G, Kontogiannis C, Kosyan R, Koubbi P, Kušpilić G, La Ferla R, Langone L, Laroche S, Lazar L, Lefkaditou E, Lemeshko IE, Machias A, Malej A, Mazzocchi MG, Medinets V, Mihalopoulos N, Miserocchi S, Moncheva S, Mukhanov V, Oaie G, Oros A, Öztürk AA, Öztürk B, Panayotova M, Prospathopoulos A, Radu G, Raykov V, Reglero P, Reygondeau G, Rougeron N, Salihoglu B, Sanchez-Vidal A, Sannino G, Santinelli C, Secrieru D, Shapiro G, Simboura N, Shiganova T, Sprovieri M, Stefanova K, Streftaris N, Tirelli V, Tom M, Topaloğlu B, Topçu NE, Tsagarakis K, Tsangaris C, Tserpes G, Tuğrul S, Uysal Z, Vasile D, Violaki K, Xu J, Yüksek A, Papathanassiou E. A MSFD complementary approach for the assessment of pressures, knowledge and data gaps in Southern European Seas: The PERSEUS experience. Mar Pollut Bull 2015; 95:28-39. [PMID: 25892079 DOI: 10.1016/j.marpolbul.2015.03.024] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/25/2014] [Revised: 03/09/2015] [Accepted: 03/15/2015] [Indexed: 06/04/2023]
Abstract
PERSEUS project aims to identify the most relevant pressures exerted on the ecosystems of the Southern European Seas (SES), highlighting knowledge and data gaps that endanger the achievement of SES Good Environmental Status (GES) as mandated by the Marine Strategy Framework Directive (MSFD). A complementary approach has been adopted, by a meta-analysis of existing literature on pressure/impact/knowledge gaps summarized in tables related to the MSFD descriptors, discriminating open waters from coastal areas. A comparative assessment of the Initial Assessments (IAs) for five SES countries has been also independently performed. The comparison between meta-analysis results and IAs shows similarities for coastal areas only. Major knowledge gaps have been detected for the biodiversity, marine food web, marine litter and underwater noise descriptors. The meta-analysis also allowed the identification of additional research themes targeting research topics that are requested to the achievement of GES.
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Affiliation(s)
- A Crise
- OGS (Istituto Nazionale di Oceanografia e di Geofisica Sperimentale), Borgo Grotta Gigante 42/C, 34010_22 Sgonico, Trieste, Italy.
| | - H Kaberi
- Hellenic Centre for Marine Research, 46.7 km Athinon - Souniou Ave., 19013 Anavyssos, Greece
| | - J Ruiz
- Agencia Estatal Consejo Superior de Investigaciones Cientificas, Instituto de Ciencias Marinas de Andalucia, Avda Republica Saharaui 2, 11519 Puerto Real, Cadiz, Spain
| | - A Zatsepin
- P.P. Shirshov Institute of Oceanology of Russian Academy of Sciences, Nakhimovsky Ave. 36, 117997 Moscow, Russia
| | - E Arashkevich
- P.P. Shirshov Institute of Oceanology of Russian Academy of Sciences, Nakhimovsky Ave. 36, 117997 Moscow, Russia
| | - M Giani
- OGS (Istituto Nazionale di Oceanografia e di Geofisica Sperimentale), Borgo Grotta Gigante 42/C, 34010_22 Sgonico, Trieste, Italy
| | - A P Karageorgis
- Hellenic Centre for Marine Research, 46.7 km Athinon - Souniou Ave., 19013 Anavyssos, Greece
| | - L Prieto
- Agencia Estatal Consejo Superior de Investigaciones Cientificas, Instituto de Ciencias Marinas de Andalucia, Avda Republica Saharaui 2, 11519 Puerto Real, Cadiz, Spain
| | - M Pantazi
- Hellenic Centre for Marine Research, 46.7 km Athinon - Souniou Ave., 19013 Anavyssos, Greece
| | - D Gonzalez-Fernandez
- Institute for Environment and Sustainability, Joint Research Centre, European Commission, Via Enrico Fermi 2749, 21027, Italy
| | | | - V Tornero
- Institute for Environment and Sustainability, Joint Research Centre, European Commission, Via Enrico Fermi 2749, 21027, Italy; Stazione Zoologica Anton Dohrn, Villa Comunale, 80121 Napoli, Italy
| | - V Vassilopoulou
- Hellenic Centre for Marine Research, 46.7 km Athinon - Souniou Ave., 19013 Anavyssos, Greece
| | - X Durrieu de Madron
- Centre National de la Recherche Scientifique, Centre d'Etude et de Formation sur les Environnements Méditerranéens, Université de Perpignan Via Domitia, 52 avenue Paul Alduy, 66860 Perpignan, France
| | - C Guieu
- LOV UPMC CNRS Laboratoire d'Océanographie de Villefranche, France
| | - P Puig
- Institut de Ciencies del Mar (CSIC), Passeig Joan de Borbo s/n, 08039 Barcelona, Catalonia, Spain
| | - A Zenetos
- Hellenic Centre for Marine Research, 46.7 km Athinon - Souniou Ave., 19013 Anavyssos, Greece
| | - B Andral
- Institut Francais de Recherche pour l' Exploitation de la Mer, 155 Rue Jean Jacques Rousseau, Issy-Moulineaux 92138, France
| | - D Angel
- University of Haifa, Mount Carmel, Abba Khoushi Blvd, 31905 Haifa, Israel
| | - D Altukhov
- A.O. Kovalevskiy Institute of Biology of Southern Seas, Nakhimov Avenue 2, 99011 Sevastopol, Ukraine
| | - S D Ayata
- LOV UPMC CNRS Laboratoire d'Océanographie de Villefranche, France
| | - Y Aktan
- Istanbul University, Istanbul Universitesi Center Campus, 34452 Beyazit/Eminonu-Istanbul, Turkey
| | - E Balcıoğlu
- Istanbul University, Istanbul Universitesi Center Campus, 34452 Beyazit/Eminonu-Istanbul, Turkey
| | - F Benedetti
- LOV UPMC CNRS Laboratoire d'Océanographie de Villefranche, France
| | - M Bouchoucha
- Institut Francais de Recherche pour l' Exploitation de la Mer, 155 Rue Jean Jacques Rousseau, Issy-Moulineaux 92138, France
| | - M-C Buia
- Stazione Zoologica Anton Dohrn, Villa Comunale, 80121 Napoli, Italy
| | - J-F Cadiou
- Institut Francais de Recherche pour l' Exploitation de la Mer, 155 Rue Jean Jacques Rousseau, Issy-Moulineaux 92138, France
| | - M Canals
- Universitat de Barcelona, Departement d'Estratigrafia, Paleontologia i Geociènces Marines University of Barcelona, Zona Universitaria de Pedralbes, 08028 Barcelona, Spain
| | - M Chakroun
- SAROST SA, Immeuble SAADI Tour EF 8ème étage El Menzah IV, 1082, Tunisia
| | - E Christou
- Hellenic Centre for Marine Research, 46.7 km Athinon - Souniou Ave., 19013 Anavyssos, Greece
| | - M G Christidis
- Hellenic Centre for Marine Research, 46.7 km Athinon - Souniou Ave., 19013 Anavyssos, Greece
| | - G Civitarese
- OGS (Istituto Nazionale di Oceanografia e di Geofisica Sperimentale), Borgo Grotta Gigante 42/C, 34010_22 Sgonico, Trieste, Italy
| | - V Coatu
- Institutul National De Cercetare-Dezvoltare Marina, Grigore Antipa, Mamaia Blvd 300, 900581 Constanta, Romania
| | - M Corsini-Foka
- Hellenic Centre for Marine Research, 46.7 km Athinon - Souniou Ave., 19013 Anavyssos, Greece
| | - S Cozzi
- Consiglio Nazionale delle Ricerche, Piazzale Aldo Moro 7, 00185 Roma, Italy
| | - A Deidun
- Universitata Malta, University Campus, Tal-Qroqq Imsida MSD20_1180, Malta
| | - A Dell'Aquila
- Agenzia Nazionale per le Nuove Tecnologie, l'Energia e lo Sviluppo Economico Sostenibile, Lungotevere Grande Ammiraglio Thaon di Revel 76, 00196 Roma, Italy
| | - A Dogrammatzi
- Hellenic Centre for Marine Research, 46.7 km Athinon - Souniou Ave., 19013 Anavyssos, Greece
| | - C Dumitrache
- Institutul National De Cercetare-Dezvoltare Marina, Grigore Antipa, Mamaia Blvd 300, 900581 Constanta, Romania
| | - D Edelist
- University of Haifa, Mount Carmel, Abba Khoushi Blvd, 31905 Haifa, Israel
| | - O Ettahiri
- Institut National de Recherche Halieutique, Rue Tiznit 2, 20000 Casablanca, Morocco
| | - S Fonda-Umani
- Consorzio Nazionale Interuniversitario per le Scienze del Mare, Piazzale Flaminio 9, 00196 Rome, Italy
| | - S Gana
- SAROST SA, Immeuble SAADI Tour EF 8ème étage El Menzah IV, 1082, Tunisia
| | - F Galgani
- Institut Francais de Recherche pour l' Exploitation de la Mer, 155 Rue Jean Jacques Rousseau, Issy-Moulineaux 92138, France
| | - S Gasparini
- LOV UPMC CNRS Laboratoire d'Océanographie de Villefranche, France
| | - A Giannakourou
- Hellenic Centre for Marine Research, 46.7 km Athinon - Souniou Ave., 19013 Anavyssos, Greece
| | - M-T Gomoiu
- Institutul National de Cercetare-DezvoltarePentru Geologie si Geoecologie Marina, Dimitrie Onciul Street 23-25, 024053 Bucharest, Romania
| | - A Gubanova
- A.O. Kovalevskiy Institute of Biology of Southern Seas, Nakhimov Avenue 2, 99011 Sevastopol, Ukraine
| | - A-C Gücü
- Middle East Technical University, Dumlupinar 1, Cankaya 06800, Turkey
| | - Ö Gürses
- Middle East Technical University, Dumlupinar 1, Cankaya 06800, Turkey
| | - G Hanke
- Institute for Environment and Sustainability, Joint Research Centre, European Commission, Via Enrico Fermi 2749, 21027, Italy
| | - I Hatzianestis
- Hellenic Centre for Marine Research, 46.7 km Athinon - Souniou Ave., 19013 Anavyssos, Greece
| | - B Herut
- Israel Oceanographic and Limnological Research, Tel Shikmona, 31080 Haifa, Israel
| | - R Hone
- University of Plymouth, Drake Circus, PL4 8AA Plymouth, UK
| | - E Huertas
- Agencia Estatal Consejo Superior de Investigaciones Cientificas, Instituto de Ciencias Marinas de Andalucia, Avda Republica Saharaui 2, 11519 Puerto Real, Cadiz, Spain
| | - J-O Irisson
- LOV UPMC CNRS Laboratoire d'Océanographie de Villefranche, France
| | - M İşinibilir
- Istanbul University, Istanbul Universitesi Center Campus, 34452 Beyazit/Eminonu-Istanbul, Turkey
| | - J A Jimenez
- Laboratori d'Enginyeria Marítima, Universitat Politècnica de Catalunya, BarcelonaTech, c/Jordi Girona 1-3, Campus Nord ed D1, Barcelona 08034, Spain
| | - S Kalogirou
- Hellenic Centre for Marine Research, 46.7 km Athinon - Souniou Ave., 19013 Anavyssos, Greece
| | - K Kapiris
- Hellenic Centre for Marine Research, 46.7 km Athinon - Souniou Ave., 19013 Anavyssos, Greece
| | - V Karamfilov
- Institute for Biodiversity and Ecosystem Research at the Bulgraian Academy of Sciences, 2, Gagarin Street, 1113 Sofia, Bulgaria
| | - S Kavadas
- Hellenic Centre for Marine Research, 46.7 km Athinon - Souniou Ave., 19013 Anavyssos, Greece
| | - Ç Keskin
- Istanbul University, Istanbul Universitesi Center Campus, 34452 Beyazit/Eminonu-Istanbul, Turkey
| | - A E Kideyş
- Middle East Technical University, Dumlupinar 1, Cankaya 06800, Turkey
| | - M Kocak
- Middle East Technical University, Dumlupinar 1, Cankaya 06800, Turkey
| | - G Kondylatos
- Hellenic Centre for Marine Research, 46.7 km Athinon - Souniou Ave., 19013 Anavyssos, Greece
| | - C Kontogiannis
- Hellenic Centre for Marine Research, 46.7 km Athinon - Souniou Ave., 19013 Anavyssos, Greece
| | - R Kosyan
- P.P. Shirshov Institute of Oceanology of Russian Academy of Sciences, Nakhimovsky Ave. 36, 117997 Moscow, Russia
| | - P Koubbi
- Unité Biologie des organismes et écosystèmes aquatiques (BOREA, UMR 7208), Sorbonne Universités, Muséum national d'Histoire naturelle, Université Pierre et Marie Curie, Université de Caen Basse-Normandie, CNRS, IRD; CP26, 57 rue Cuvier 75005 Paris, France
| | - G Kušpilić
- Institute of Oceanography and Fisheries, Seatliste Ivana Mestrovica 63, 21000 Split, Croatia
| | - R La Ferla
- Consiglio Nazionale delle Ricerche, Piazzale Aldo Moro 7, 00185 Roma, Italy
| | - L Langone
- Consiglio Nazionale delle Ricerche, Piazzale Aldo Moro 7, 00185 Roma, Italy
| | - S Laroche
- Institut Francais de Recherche pour l' Exploitation de la Mer, 155 Rue Jean Jacques Rousseau, Issy-Moulineaux 92138, France
| | - L Lazar
- Institutul National De Cercetare-Dezvoltare Marina, Grigore Antipa, Mamaia Blvd 300, 900581 Constanta, Romania
| | - E Lefkaditou
- Hellenic Centre for Marine Research, 46.7 km Athinon - Souniou Ave., 19013 Anavyssos, Greece
| | - I E Lemeshko
- Marine Hydrophysical Institute, Ukrainian National Academy of Sciences, 2, Kapitanskaya Street, 99011 Sevastopol, Ukraine
| | - A Machias
- Hellenic Centre for Marine Research, 46.7 km Athinon - Souniou Ave., 19013 Anavyssos, Greece
| | - A Malej
- Nacionalni Institut Za Biologijo, VecnaPot 111, 1000 Ljubljana, Slovenia
| | - M-G Mazzocchi
- Stazione Zoologica Anton Dohrn, Villa Comunale, 80121 Napoli, Italy
| | - V Medinets
- Odessa National I.I. Mechnikov University, Dvoryanskaya Str 2, Odessa 65082, Ukraine
| | - N Mihalopoulos
- University of Crete, Panepistimioupoli Rethymnon, 74100 Rethymnon Kritis, Greece
| | - S Miserocchi
- Consiglio Nazionale delle Ricerche, Piazzale Aldo Moro 7, 00185 Roma, Italy
| | - S Moncheva
- Institute of Oceanology, Bulgarian Academy of Sciences, Parvi May Str 40, 9000 Varna, Bulgaria
| | - V Mukhanov
- A.O. Kovalevskiy Institute of Biology of Southern Seas, Nakhimov Avenue 2, 99011 Sevastopol, Ukraine
| | - G Oaie
- Institutul National de Cercetare-DezvoltarePentru Geologie si Geoecologie Marina, Dimitrie Onciul Street 23-25, 024053 Bucharest, Romania
| | - A Oros
- Institutul National De Cercetare-Dezvoltare Marina, Grigore Antipa, Mamaia Blvd 300, 900581 Constanta, Romania
| | - A A Öztürk
- Istanbul University, Istanbul Universitesi Center Campus, 34452 Beyazit/Eminonu-Istanbul, Turkey
| | - B Öztürk
- Istanbul University, Istanbul Universitesi Center Campus, 34452 Beyazit/Eminonu-Istanbul, Turkey
| | - M Panayotova
- Institute of Oceanology, Bulgarian Academy of Sciences, Parvi May Str 40, 9000 Varna, Bulgaria
| | - A Prospathopoulos
- Hellenic Centre for Marine Research, 46.7 km Athinon - Souniou Ave., 19013 Anavyssos, Greece
| | - G Radu
- Institutul National De Cercetare-Dezvoltare Marina, Grigore Antipa, Mamaia Blvd 300, 900581 Constanta, Romania
| | - V Raykov
- Institute of Oceanology, Bulgarian Academy of Sciences, Parvi May Str 40, 9000 Varna, Bulgaria
| | - P Reglero
- Instituto Espanol de Oceanografia, Corazon De Maria 8, Madrid, Spain
| | - G Reygondeau
- Center for Macroecology, Evolution and Climate, National Institute for Aquatic Resources, Technical University of Denmark (DTU Aqua), Kavalergården 6, 2920 Charlottenlund, Denmark; Fisheries Centre, 2202 Main Mall, Aquatic Ecosystems Research Laboratory, The University of British Columbia, Vancouver, British Columbia, Canada V6T 1Z4
| | - N Rougeron
- Institut Francais de Recherche pour l' Exploitation de la Mer, 155 Rue Jean Jacques Rousseau, Issy-Moulineaux 92138, France
| | - B Salihoglu
- LOV UPMC CNRS Laboratoire d'Océanographie de Villefranche, France
| | - A Sanchez-Vidal
- Universitat de Barcelona, Departement d'Estratigrafia, Paleontologia i Geociènces Marines University of Barcelona, Zona Universitaria de Pedralbes, 08028 Barcelona, Spain
| | - G Sannino
- Agenzia Nazionale per le Nuove Tecnologie, l'Energia e lo Sviluppo Economico Sostenibile, Lungotevere Grande Ammiraglio Thaon di Revel 76, 00196 Roma, Italy
| | - C Santinelli
- Consiglio Nazionale delle Ricerche, Piazzale Aldo Moro 7, 00185 Roma, Italy
| | - D Secrieru
- Institutul National de Cercetare-DezvoltarePentru Geologie si Geoecologie Marina, Dimitrie Onciul Street 23-25, 024053 Bucharest, Romania
| | - G Shapiro
- University of Plymouth, Drake Circus, PL4 8AA Plymouth, UK
| | - N Simboura
- Hellenic Centre for Marine Research, 46.7 km Athinon - Souniou Ave., 19013 Anavyssos, Greece
| | - T Shiganova
- P.P. Shirshov Institute of Oceanology of Russian Academy of Sciences, Nakhimovsky Ave. 36, 117997 Moscow, Russia
| | - M Sprovieri
- Consiglio Nazionale delle Ricerche, Piazzale Aldo Moro 7, 00185 Roma, Italy
| | - K Stefanova
- Institute of Oceanology, Bulgarian Academy of Sciences, Parvi May Str 40, 9000 Varna, Bulgaria
| | - N Streftaris
- Hellenic Centre for Marine Research, 46.7 km Athinon - Souniou Ave., 19013 Anavyssos, Greece
| | - V Tirelli
- OGS (Istituto Nazionale di Oceanografia e di Geofisica Sperimentale), Borgo Grotta Gigante 42/C, 34010_22 Sgonico, Trieste, Italy
| | - M Tom
- Israel Oceanographic and Limnological Research, Tel Shikmona, 31080 Haifa, Israel
| | - B Topaloğlu
- Istanbul University, Istanbul Universitesi Center Campus, 34452 Beyazit/Eminonu-Istanbul, Turkey
| | - N E Topçu
- Istanbul University, Istanbul Universitesi Center Campus, 34452 Beyazit/Eminonu-Istanbul, Turkey
| | - K Tsagarakis
- Hellenic Centre for Marine Research, 46.7 km Athinon - Souniou Ave., 19013 Anavyssos, Greece
| | - C Tsangaris
- Hellenic Centre for Marine Research, 46.7 km Athinon - Souniou Ave., 19013 Anavyssos, Greece
| | - G Tserpes
- Hellenic Centre for Marine Research, 46.7 km Athinon - Souniou Ave., 19013 Anavyssos, Greece
| | - S Tuğrul
- Middle East Technical University, Dumlupinar 1, Cankaya 06800, Turkey
| | - Z Uysal
- Middle East Technical University, Dumlupinar 1, Cankaya 06800, Turkey
| | - D Vasile
- Institut Francais de Recherche pour l' Exploitation de la Mer, 155 Rue Jean Jacques Rousseau, Issy-Moulineaux 92138, France
| | - K Violaki
- University of Crete, Panepistimioupoli Rethymnon, 74100 Rethymnon Kritis, Greece
| | - J Xu
- University of Plymouth, Drake Circus, PL4 8AA Plymouth, UK
| | - A Yüksek
- Istanbul University, Istanbul Universitesi Center Campus, 34452 Beyazit/Eminonu-Istanbul, Turkey
| | - E Papathanassiou
- Hellenic Centre for Marine Research, 46.7 km Athinon - Souniou Ave., 19013 Anavyssos, Greece
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Renapurkar RD, El-Sherief AH, Prieto L, Kapadia SR, Schoenhagen P. Transcatheter Structural Cardiac Intervention: A Radiology Perspective. AJR Am J Roentgenol 2015; 204:W648-W662. [DOI: 10.2214/ajr.14.12571] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Affiliation(s)
- Rahul D. Renapurkar
- Section of Thoracic Imaging, L10, Imaging Institute, Cleveland Clinic, Cleveland, OH 44195
- Cardiovascular Imaging Laboratory, Imaging Institute, Cleveland Clinic, Cleveland, OH
| | - Ahmed H. El-Sherief
- Section of Thoracic Imaging, L10, Imaging Institute, Cleveland Clinic, Cleveland, OH 44195
| | - Lourdes Prieto
- Heart and Vascular Institute, Cleveland Clinic, Cleveland, OH
| | | | - Paul Schoenhagen
- Cardiovascular Imaging Laboratory, Imaging Institute, Cleveland Clinic, Cleveland, OH
- Heart and Vascular Institute, Cleveland Clinic, Cleveland, OH
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Rojas Sánchez P, de Mulder M, Fernandez-Cooke E, Prieto L, Rojo P, Jiménez de Ory S, José Mellado M, Navarro M, Tomas Ramos J, Holguín Á. Clinical and virologic follow-up in perinatally HIV-1-infected children and adolescents in Madrid with triple-class antiretroviral drug-resistant viruses. Clin Microbiol Infect 2015; 21:605.e1-9. [PMID: 25680310 DOI: 10.1016/j.cmi.2015.02.003] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2014] [Revised: 12/29/2014] [Accepted: 02/01/2015] [Indexed: 11/16/2022]
Abstract
Drug resistance mutations compromise the success of antiretroviral treatment in human immunodeficiency virus type 1 (HIV-1)-infected children. We report the virologic and clinical follow-up of the Madrid cohort of perinatally HIV-infected children and adolescents after the selection of triple-class drug-resistant mutations (TC-DRM). We identified patients from the cohort carrying HIV-1 variants with TC-DRM to nucleoside reverse transcriptase inhibitors, nonnucleoside reverse transcriptase inhibitors and protease inhibitors according to IAS-USA-2013. We recovered pol sequences or resistance profiles from 2000 to 2011 and clinical-immunologic-virologic data from the moment of TC-DRM detection until December 2013. Viruses harbouring TC-DRM were observed in 48 (9%) of the 534 children and adolescents from 2000 to 2011, rising to 24.4% among those 197 with resistance data. Among them, 95.8% were diagnosed before 2003, 91.7% were Spaniards, 89.6% carried HIV-1-subtype B and 75% received mono/dual therapy as first regimen. The most common TC-DRM present in ≥50% of them were D67NME, T215FVY, M41L and K103N (retrotranscriptase) and L90M (protease). The susceptibility to darunavir, tipranavir, etravirine and rilpivirine was 67.7%, 43.7%, 33.3% and 33.3%, respectively, and all reported high resistance to didanosine, abacavir and nelfinavir. Despite the presence of HIV-1 resistance mutations to the three main antiretroviral families in our paediatric cohort, some drugs maintained their susceptibility, mainly the new protease inhibitors (tipranavir and darunavir) and nonnucleoside reverse transcriptase inhibitors (etravirine and rilpivirine). These data will help to improve the clinical management of HIV-infected children with triple resistance in Spain.
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Affiliation(s)
- P Rojas Sánchez
- HIV-1 Molecular Epidemiology Laboratory, Microbiology and Parasitology Department, Hospital Universitario Ramón y Cajal-IRyCIS and CIBERESP, Spain
| | - M de Mulder
- George Washington University, Washington, DC, USA
| | | | - L Prieto
- Hospital Universitario de Getafe, Spain
| | - P Rojo
- Hospital Universitario Doce de Octubre, Spain
| | | | | | - M Navarro
- Hospital General Universitario Gregorio Marañón, Spain
| | - J Tomas Ramos
- Servicio de Pediatría, Hospital Clinivo San Carlos, Facultad de Medicina, Universidad Complutense, Madrid, Spain
| | - Á Holguín
- HIV-1 Molecular Epidemiology Laboratory, Microbiology and Parasitology Department, Hospital Universitario Ramón y Cajal-IRyCIS and CIBERESP, Spain.
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45
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Monn JA, Prieto L, Taboada L, Pedregal C, Hao J, Reinhard MR, Henry SS, Goldsmith PJ, Beadle CD, Walton L, Man T, Rudyk H, Clark B, Tupper D, Baker SR, Lamas C, Montero C, Marcos A, Blanco J, Bures M, Clawson DK, Atwell S, Lu F, Wang J, Russell M, Heinz BA, Wang X, Carter JH, Xiang C, Catlow JT, Swanson S, Sanger H, Broad LM, Johnson MP, Knopp KL, Simmons RMA, Johnson BG, Shaw DB, McKinzie DL. Synthesis and Pharmacological Characterization of C4-Disubstituted Analogs of 1S,2S,5R,6S-2-Aminobicyclo[3.1.0]hexane-2,6-dicarboxylate: Identification of a Potent, Selective Metabotropic Glutamate Receptor Agonist and Determination of Agonist-Bound Human mGlu2 and mGlu3 Amino Terminal Domain Structures. J Med Chem 2015; 58:1776-94. [DOI: 10.1021/jm501612y] [Citation(s) in RCA: 49] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- James A. Monn
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - Lourdes Prieto
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - Lorena Taboada
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - Concepcion Pedregal
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - Junliang Hao
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - Matt R. Reinhard
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - Steven S. Henry
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - Paul J. Goldsmith
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - Christopher D. Beadle
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - Lesley Walton
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - Teresa Man
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - Helene Rudyk
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - Barry Clark
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - David Tupper
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - S. Richard Baker
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - Carlos Lamas
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - Carlos Montero
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - Alicia Marcos
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - Jaime Blanco
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - Mark Bures
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - David K. Clawson
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - Shane Atwell
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - Frances Lu
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - Jing Wang
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - Marijane Russell
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - Beverly A. Heinz
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - Xushan Wang
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - Joan H. Carter
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - Chuanxi Xiang
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - John T. Catlow
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - Steven Swanson
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - Helen Sanger
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - Lisa M. Broad
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - Michael P. Johnson
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - Kelly L. Knopp
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - Rosa M. A. Simmons
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - Bryan G. Johnson
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - David B. Shaw
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - David L. McKinzie
- Discovery Chemistry
Research and Technologies, ‡Quantitative Biology, §Structural Biology, ∥Drug Disposition,
and ⊥Neuroscience
Research, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
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46
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Cepero A, Martín-Hernández R, Prieto L, Gómez-Moracho T, Martínez-Salvador A, Bartolomé C, Maside X, Meana A, Higes M. Is Acarapis woodi a single species? A new PCR protocol to evaluate its prevalence. Parasitol Res 2014; 114:651-8. [DOI: 10.1007/s00436-014-4229-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2014] [Accepted: 11/06/2014] [Indexed: 10/24/2022]
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47
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Molina M, Hunter S, Cyterski M, Peed LA, Kelty CA, Sivaganesan M, Mooney T, Prieto L, Shanks OC. Factors affecting the presence of human-associated and fecal indicator real-time quantitative PCR genetic markers in urban-impacted recreational beaches. Water Res 2014; 64:196-208. [PMID: 25061692 DOI: 10.1016/j.watres.2014.06.036] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2014] [Revised: 06/25/2014] [Accepted: 06/27/2014] [Indexed: 06/03/2023]
Abstract
Urban runoff can carry a variety of pollutants into recreational beaches, often including bacterial pathogens and indicators of fecal contamination. To develop complete recreational criteria and risk assessments, it is necessary to understand conditions under which human contamination could be present at beaches solely impacted by urban runoff. Accurately estimating risk requires understanding sources, concentrations, and transport mechanisms of microbial contaminants in these environments. By applying microbial source tracking methods and empirical modeling, we assessed the presence and level of human contamination at urban runoff impacted recreational beaches. We also identified environmental parameters and pollution sources that can influence the concentration and transport of culturable and molecular fecal indicator bacteria (FIB) in systems impacted solely by urban runoff. Water samples and physico-chemical parameters were collected from shoreline locations from three South Carolina (SC) beaches (five locations per beach) and two Florida (FL) beaches (three locations per beach). Each SC beach was directly impacted by swashes or tidal creeks receiving stormwater runoff from the urbanized area and therefore were designated as swash drain associated (SDA) beaches, while FL beaches were designated as non-swash drain associated (NSDA). Sampling in swash drains (SD; three sites per SD) directly impacting each SC beach was also conducted. Results indicate that although culturable (enterococci) and real-time quantitative polymerase chain reaction (qPCR) (EC23S857, Entero1, and GenBac3) FIB concentrations were, on average, higher at SD locations, SDA beaches did not have consistently higher molecular FIB signals compared to NSDA beaches. Both human-associated markers (HF183 and HumM2) were concomitantly found only at SDA beaches. Bacteroidales species-specific qPCR markers (BsteriF1 and BuniF2) identified differences in the Bacteroidales community, depending on beach type. The marker for general Bacteroidales was most abundant at SD locations and exhibited a high correlation with both culturable and other molecular markers. Combining molecular information with predictive modeling allowed us to identify both alongshore movement of currents and SD outflow as significant influences on the concentration of molecular and culturable indicators in the bathing zone. Data also suggests that combining methodologies is a useful and cost effective approach to help understand transport dynamics of fecal contamination and identify potential sources of contamination at marine beaches.
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Affiliation(s)
- Marirosa Molina
- USEPA, Office of Research and Development, National Exposure Research Laboratory, Athens, GA, USA.
| | - Shayla Hunter
- SSA Contractor to the USEPA, ORD, NERL, Athens, GA, USA
| | - Mike Cyterski
- USEPA, Office of Research and Development, National Exposure Research Laboratory, Athens, GA, USA
| | - Lindsay A Peed
- USEPA, ORD, National Risk Management Research Laboratory, Cincinnati, OH, USA
| | - Catherine A Kelty
- USEPA, ORD, National Risk Management Research Laboratory, Cincinnati, OH, USA
| | - Mano Sivaganesan
- USEPA, ORD, National Risk Management Research Laboratory, Cincinnati, OH, USA
| | - Thomas Mooney
- SSA Contractor to the USEPA, ORD, NRMRL, Cincinnati, OH, USA
| | - Lourdes Prieto
- USEPA, Office of Research and Development, National Exposure Research Laboratory, Athens, GA, USA
| | - Orin C Shanks
- USEPA, ORD, National Risk Management Research Laboratory, Cincinnati, OH, USA
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48
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de Manuel Keenoy E, David M, Mora J, Prieto L, Domingo C, Orueta J, Valía E, Ródenas F, Pauws S, op den Buijs J, Simmons M, Contel J, Martí T, Baroni I, Nalin M, Robusto F, Lepore V, Avolio F, Bedbrook A, Bousquet J. Activation of Stratification Strategies and Results of the interventions on frail patients of Healthcare Services (ASSEHS) DG Sanco Project No. 2013 12 04. Eur Geriatr Med 2014. [DOI: 10.1016/j.eurger.2014.07.011] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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49
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de Blay F, Kuna P, Prieto L, Ginko T, Seitzberg D, Riis B, Canonica GW. SQ HDM SLIT-tablet (ALK) in treatment of asthma--post hoc results from a randomised trial. Respir Med 2014; 108:1430-7. [PMID: 25135744 DOI: 10.1016/j.rmed.2014.07.017] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2014] [Revised: 07/02/2014] [Accepted: 07/29/2014] [Indexed: 10/24/2022]
Abstract
INTRODUCTION In a double-blind, placebo-controlled trial (EudraCT identifier: 2006-001795-20), the standardised quality (SQ) house dust mite (HDM) sublingual immunotherapy (SLIT)-tablet (ALK, Denmark) was investigated. METHOD The trial included 604 subjects, ≥14 years, with mild-moderate HDM allergic asthma. Subjects were randomised 1:1:1:1 to 1, 3 or 6 SQ-HDM or placebo once daily. The primary endpoint was reduction in inhaled corticosteroid (ICS) after one year. ICS reduction, asthma quality of life questionnaire (AQLQ) and asthma control questionnaire (ACQ) score was analysed post hoc in a subgroup with daily ICS use of 400-800 μg and ACQ score of 1-1.5, corresponding to partly controlled asthma (N = 108). RESULTS The trial met its primary endpoint. In the subgroup, the difference between placebo and 6 SQ-HDM in change from baseline in daily ICS use was 327 μg (p < 0.0001), while it was 0.52 (p = 0.010) for AQLQ. The treatment effect on ICS reduction and AQLQ was increased for the subgroup versus the residual population (ICS reduction: p < 0.001); AQLQ: p = 0.044). CONCLUSION In this subgroup, including only patients with partly controlled asthma, the benefit of 1 year of treatment with SQ HDM SLIT-tablet was significantly higher than for the less severe full population, both in terms of increased asthma control and improved quality of life.
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Affiliation(s)
- F de Blay
- Chest Disease Department, University Hospital of Strasbourg, Federation of Translational Medicine, EA 3072, 67091 Strasbourg University, France.
| | - P Kuna
- Division of Internal Medicine, Asthma and Allergy, Barlicki University Hospital, Medical University of Lodz, ul. Kopcińskiego 22, 90-153 Łódź, Poland
| | - L Prieto
- Departamento de Medicina, Universidad de Valencia, Av. Blásco Ibáñez, 15, 46010 Valencia, Spain
| | - T Ginko
- Private Practice, Vorgebirgsstraße 43, 53119 Bonn, Germany
| | - D Seitzberg
- Global Clinical Development, ALK, Bøge Allé 6-8, 2970 Hørsholm, Denmark
| | - B Riis
- Global Clinical Development, ALK, Bøge Allé 6-8, 2970 Hørsholm, Denmark
| | - G W Canonica
- Allergy & Respiratory Dis. Clinic, DIMI, University of Genova, IRCCS AOU San Martino, Largo R. Benzi 10, 16132 Genova, Italy
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50
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Ruiz J, Macías D, Losada M, Díez-Minguito M, Prieto L. A simple biogeochemical model for estuaries with high sediment loads: Application to the Guadalquivir River (SW Iberia). Ecol Modell 2013. [DOI: 10.1016/j.ecolmodel.2013.06.012] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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