11 research outputs found
CiRM tools and new TICs as a support of Electronic Government
Las nuevas Tecnologías de la Información y las Comunicaciones, combinadas con la aplicación de herramientas de Customer Relationship Management al ámbito de la administración pública (Citizen Relationship Management) pueden convertirse en una interesante combinación para el sostenimiento de la gestión cimentada en el Gobierno Electrónico. Estas tecnologías permiten, si hay voluntad política de lograrlo, escuchar la voz de la ciudadanía, interactuando mediante plataformas multicanales que permiten rápido acceso, flexibilidad y capacidad de seguimiento, sin importar la vía de ingreso.Fil: Larrosa, Mónica Irene. Universidad Nacional de La Matanza; Argentina.Fil: Pepe, María Laura. Universidad Nacional de La Matanza; Argentina.Fil: Gabay, Gabriela Patricia. Universidad Nacional de La Matanza; Argentina.Fil: Molina, Carlos. Universidad Nacional de La Matanza; Argentina.Fil. Paradela, Carlos. Universidad Nacional de La Matanza; Argentina.Fil: Crocco, Carla. Universidad Nacional de La Matanza; Argentina
Factores que afectan la permanencia de los estudiantes en las carreras de Ingeniería de la UNLaM
La deserción es uno de los principales problemas que enfrentan las instituciones de Educación Superior debido a la complejidad de los factores involucrados. Este proyecto abordó el estudio de esta problemática desde diferentes perspectivas y atendiendo a marcos teóricos ampliamente reconocidos en otros entornos.
El Departamento de Ingeniería e Investigaciones Tecnológicas (DIIT) de la Universidad Nacional de La Matanza (UNLaM) cuenta con el sistema de gestión SIU-Guaraní que registra y administra todas las actividades académicas de los estudiantes, lo que aportó al proyecto la base de datos principal. A partir de 2011 el equipo de tutorías del DIIT construye otra base de datos llamada CAPPA (Control de Asistencia Para Primeros Años), con información complementaria de los estudiantes que cursan materias del Ciclo General de Materias Básicas (CGMB) de las carreras de Ingeniería. Adicionalmente, considerando que la Asignatura Probabilidad y Estadística (PyE) puede tomarse como referencia del ciclo medio de las carreras de Ingeniería, se relevaron datos de alumnos con información complementaria a la de las bases anteriores a partir de seguimiento de alumnos realizados desde 2009.
Este proyecto trabajó sobre tres líneas de investigación interna: (I) Compatibilización y Análisis estadístico de los registros disponibles, (II) Análisis de información cualitativa a partir de informantes claves y, finalmente (III) Análisis de la deserción en PyE.
La información disponible permitió trabajar diferenciadamente sobre datos de alumnos de los primeros años y alumnos avanzados. A su vez se sumó información relevada en el contexto de esta investigación a través del contacto con informantes claves, docentes, tutores y alumnos.
Para analizar cuantitativamente las bases de datos disponibles y comparar modelos en relación a la capacidad predictiva de los mismos se probaron diferentes técnicas de data mining con los registros disponibles. Se estudió la adecuación de diferentes modelos estadísticos predictivos, lo que implicó un arduo trabajo previo de depuración de las bases. Los modelos desarrollados son de alcance limitado aún, requiriendo para mejorarlos una ampliación de la serie de registros a ciclos académicos posteriores.
Asimismo, año se obtuvieron resultados relevantes a partir del análisis cualitativo de la base de datos CAPPA y de los resultados de los grupos focales realizados con docentes y tutores de primer. Se analizaron las causas de abandono relatadas por los estudiantes en diferentes asignaturas y luego fueron contrastadas con factores de abandono reseñados en la bibliografía de referencia, diferenciando entre los casos de exclusión académica y deserción voluntaria. Además, se identificaron como factores recurrentes algunos relativos a “compromisos externos” y a la “experiencia institucional”.
Respecto a la asignatura PyE, se realizaron análisis complementarios en relación a la propuesta de diferentes estrategias didácticas desde el punto de vista docente.
Los resultados obtenidos en cada una de las tres líneas de investigación del proyecto, fueron presentados en congresos y reuniones científicas. Así también, ddurante el desarrollo del proyecto fue importante la formación de recursos humanos, dado que el equipo está integrado mayoritariamente por investigadores nóveles.
La importancia de este proyecto se centra en la necesidad de analizar el gran conjunto de datos disponible desde una perspectiva estadística multivariada utilizando modelos predictivos. Los resultados permiten identificar factores que inciden en el abandono y desgranamiento de los estudiantes de modo que se pueda detectar grupos en riesgo. Para la continuación del trabajo realizado es necesario profundizar en la ponderación de los factores identificados y la complementación de la información con encuestas.Fil: Giuliano, Mónica Graciela. Universidad Nacional de La Matanza; Argentina.Fil: Pérez, Silvia Noemí. Universidad Nacional de La Matanza; Argentina.Fil: Sacerdoti, Aldo. Universidad Nacional de La Matanza; Argentina.Fil: Larrosa, Mónica Irene. Universidad Nacional de La Matanza; Argentina.Fil: Edwards Molina, Diego Julio. Universidad Nacional de La Matanza; Argentina.Fil: Martínez, Ana María. Universidad Nacional de La Matanza; Argentina.Fil: Gargano, Cecilia Victoria. Universidad Nacional de La Matanza; Argentina.Fil: Agüero, Nélida Mabel. Universidad Nacional de La Matanza; Argentina.Fil: Gil, Myrian Noemí. Universidad Nacional de La Matanza; Argentina.Fil: Videla, Lucas. Universidad Nacional de La Matanza; Argentina.Fil: García, Martín Rodrigo. Universidad Nacional de La Matanza; Argentina.Fil: Defusto, Sergio. Universidad Nacional de La Matanza; Argentina.Fil: Bosio, Agustín. Universidad Nacional de La Matanza; Argentina.Fil: Fernández Ussher, Juan Manuel. Universidad Nacional de La Matanza; Argentina.Fil: Prosman, Rodrigo Facundo. Universidad Nacional de La Matanza; Argentina.Fil: Pisano, Daniel Eduardo. Universidad Nacional de La Matanza; Argentina.Fil.: Spósitto, Osvaldo Mario. Universidad Nacional de La Matanza; Argentina
CARB-ES-19 Multicenter Study of Carbapenemase-Producing Klebsiella pneumoniae and Escherichia coli From All Spanish Provinces Reveals Interregional Spread of High-Risk Clones Such as ST307/OXA-48 and ST512/KPC-3.
CARB-ES-19 is a comprehensive, multicenter, nationwide study integrating whole-genome sequencing (WGS) in the surveillance of carbapenemase-producing K. pneumoniae (CP-Kpn) and E. coli (CP-Eco) to determine their incidence, geographical distribution, phylogeny, and resistance mechanisms in Spain. Methods: In total, 71 hospitals, representing all 50 Spanish provinces, collected the first 10 isolates per hospital (February to May 2019); CPE isolates were first identified according to EUCAST (meropenem MIC > 0.12 mg/L with immunochromatography, colorimetric tests, carbapenem inactivation, or carbapenem hydrolysis with MALDI-TOF). Prevalence and incidence were calculated according to population denominators. Antibiotic susceptibility testing was performed using the microdilution method (EUCAST). All 403 isolates collected were sequenced for high-resolution single-nucleotide polymorphism (SNP) typing, core genome multilocus sequence typing (cgMLST), and resistome analysis. Results: In total, 377 (93.5%) CP-Kpn and 26 (6.5%) CP-Eco isolates were collected from 62 (87.3%) hospitals in 46 (92%) provinces. CP-Kpn was more prevalent in the blood (5.8%, 50/853) than in the urine (1.4%, 201/14,464). The cumulative incidence for both CP-Kpn and CP-Eco was 0.05 per 100 admitted patients. The main carbapenemase genes identified in CP-Kpn were bla OXA-48 (263/377), bla KPC-3 (62/377), bla VIM-1 (28/377), and bla NDM-1 (12/377). All isolates were susceptible to at least two antibiotics. Interregional dissemination of eight high-risk CP-Kpn clones was detected, mainly ST307/OXA-48 (16.4%), ST11/OXA-48 (16.4%), and ST512-ST258/KPC (13.8%). ST512/KPC and ST15/OXA-48 were the most frequent bacteremia-causative clones. The average number of acquired resistance genes was higher in CP-Kpn (7.9) than in CP-Eco (5.5). Conclusion: This study serves as a first step toward WGS integration in the surveillance of carbapenemase-producing Enterobacterales in Spain. We detected important epidemiological changes, including increased CP-Kpn and CP-Eco prevalence and incidence compared to previous studies, wide interregional dissemination, and increased dissemination of high-risk clones, such as ST307/OXA-48 and ST512/KPC-3
Corrigendum: CARB-ES-19 multicenter study of carbapenemase-producing Klebsiella pneumoniae and Escherichia coli from all Spanish provinces reveals interregional spread of high-risk clones such as ST307/OXA-48 and ST512/KPC-3
Table_4_CARB-ES-19 Multicenter Study of Carbapenemase-Producing Klebsiella pneumoniae and Escherichia coli From All Spanish Provinces Reveals Interregional Spread of High-Risk Clones Such as ST307/OXA-48 and ST512/KPC-3.pdf
[Objectives] CARB-ES-19 is a comprehensive, multicenter, nationwide study integrating whole-genome sequencing (WGS) in the surveillance of carbapenemase-producing K. pneumoniae (CP-Kpn) and E. coli (CP-Eco) to determine their incidence, geographical distribution, phylogeny, and resistance mechanisms in Spain.[Methods] In total, 71 hospitals, representing all 50 Spanish provinces, collected the first 10 isolates per hospital (February to May 2019); CPE isolates were first identified according to EUCAST (meropenem MIC > 0.12 mg/L with immunochromatography, colorimetric tests, carbapenem inactivation, or carbapenem hydrolysis with MALDI-TOF). Prevalence and incidence were calculated according to population denominators. Antibiotic susceptibility testing was performed using the microdilution method (EUCAST). All 403 isolates collected were sequenced for high-resolution single-nucleotide polymorphism (SNP) typing, core genome multilocus sequence typing (cgMLST), and resistome analysis.[Results] In total, 377 (93.5%) CP-Kpn and 26 (6.5%) CP-Eco isolates were collected from 62 (87.3%) hospitals in 46 (92%) provinces. CP-Kpn was more prevalent in the blood (5.8%, 50/853) than in the urine (1.4%, 201/14,464). The cumulative incidence for both CP-Kpn and CP-Eco was 0.05 per 100 admitted patients. The main carbapenemase genes identified in CP-Kpn were blaOXA–48 (263/377), blaKPC–3 (62/377), blaVIM–1 (28/377), and blaNDM–1 (12/377). All isolates were susceptible to at least two antibiotics. Interregional dissemination of eight high-risk CP-Kpn clones was detected, mainly ST307/OXA-48 (16.4%), ST11/OXA-48 (16.4%), and ST512-ST258/KPC (13.8%). ST512/KPC and ST15/OXA-48 were the most frequent bacteremia-causative clones. The average number of acquired resistance genes was higher in CP-Kpn (7.9) than in CP-Eco (5.5).[Conclusion] This study serves as a first step toward WGS integration in the surveillance of carbapenemase-producing Enterobacterales in Spain. We detected important epidemiological changes, including increased CP-Kpn and CP-Eco prevalence and incidence compared to previous studies, wide interregional dissemination, and increased dissemination of high-risk clones, such as ST307/OXA-48 and ST512/KPC-3.Peer reviewe
CARB-ES-19 Multicenter Study of Carbapenemase-Producing Klebsiella pneumoniae and Escherichia coli From All Spanish Provinces Reveals Interregional Spread of High-Risk Clones Such as ST307/OXA-48 and ST512/KPC-3
ObjectivesCARB-ES-19 is a comprehensive, multicenter, nationwide study integrating whole-genome sequencing (WGS) in the surveillance of carbapenemase-producing K. pneumoniae (CP-Kpn) and E. coli (CP-Eco) to determine their incidence, geographical distribution, phylogeny, and resistance mechanisms in Spain.MethodsIn total, 71 hospitals, representing all 50 Spanish provinces, collected the first 10 isolates per hospital (February to May 2019); CPE isolates were first identified according to EUCAST (meropenem MIC > 0.12 mg/L with immunochromatography, colorimetric tests, carbapenem inactivation, or carbapenem hydrolysis with MALDI-TOF). Prevalence and incidence were calculated according to population denominators. Antibiotic susceptibility testing was performed using the microdilution method (EUCAST). All 403 isolates collected were sequenced for high-resolution single-nucleotide polymorphism (SNP) typing, core genome multilocus sequence typing (cgMLST), and resistome analysis.ResultsIn total, 377 (93.5%) CP-Kpn and 26 (6.5%) CP-Eco isolates were collected from 62 (87.3%) hospitals in 46 (92%) provinces. CP-Kpn was more prevalent in the blood (5.8%, 50/853) than in the urine (1.4%, 201/14,464). The cumulative incidence for both CP-Kpn and CP-Eco was 0.05 per 100 admitted patients. The main carbapenemase genes identified in CP-Kpn were blaOXA–48 (263/377), blaKPC–3 (62/377), blaVIM–1 (28/377), and blaNDM–1 (12/377). All isolates were susceptible to at least two antibiotics. Interregional dissemination of eight high-risk CP-Kpn clones was detected, mainly ST307/OXA-48 (16.4%), ST11/OXA-48 (16.4%), and ST512-ST258/KPC (13.8%). ST512/KPC and ST15/OXA-48 were the most frequent bacteremia-causative clones. The average number of acquired resistance genes was higher in CP-Kpn (7.9) than in CP-Eco (5.5).ConclusionThis study serves as a first step toward WGS integration in the surveillance of carbapenemase-producing Enterobacterales in Spain. We detected important epidemiological changes, including increased CP-Kpn and CP-Eco prevalence and incidence compared to previous studies, wide interregional dissemination, and increased dissemination of high-risk clones, such as ST307/OXA-48 and ST512/KPC-3
Corrigendum : CARB-ES-19 multicenter study of carbapenemase-producing Klebsiella pneumoniae and Escherichia coli from all Spanish provinces reveals interregional spread of high-risk clones such as ST307/OXA-48 and ST512/KPC-3
[This corrects the article DOI: 10.3389/fmicb.2022.918362.]
CARB-ES-19 Multicenter Study of Carbapenemase-Producing Klebsiella pneumonia e and Escherichia coli From All Spanish Provinces Reveals Interregional Spread of High-Risk Clones Such as ST307/OXA-48 and ST512/KPC-3
Objectives: CARB-ES-19 is a comprehensive, multicenter, nationwide study integrating whole-genome sequencing (WGS) in the surveillance of carbapenemase-producing K. pneumoniae (CP-Kpn) and E. coli (CP-Eco) to determine their incidence, geographical distribution, phylogeny, and resistance mechanisms in Spain.
Methods: In total, 71 hospitals, representing all 50 Spanish provinces, collected the first 10 isolates per hospital (February to May 2019); CPE isolates were first identified according to EUCAST (meropenem MIC > 0.12 mg/L with immunochromatography, colorimetric tests, carbapenem inactivation, or carbapenem hydrolysis with MALDI-TOF). Prevalence and incidence were calculated according to population denominators. Antibiotic susceptibility testing was performed using the microdilution method (EUCAST). All 403 isolates collected were sequenced for high-resolution single-nucleotide polymorphism (SNP) typing, core genome multilocus sequence typing (cgMLST), and resistome analysis.
Results: In total, 377 (93.5%) CP-Kpn and 26 (6.5%) CP-Eco isolates were collected from 62 (87.3%) hospitals in 46 (92%) provinces. CP-Kpn was more prevalent in the blood (5.8%, 50/853) than in the urine (1.4%, 201/14,464). The cumulative incidence for both CP-Kpn and CP-Eco was 0.05 per 100 admitted patients. The main carbapenemase genes identified in CP-Kpn were bla OXA-48 (263/377), bla KPC-3 (62/377), bla VIM-1 (28/377), and bla NDM-1 (12/377). All isolates were susceptible to at least two antibiotics. Interregional dissemination of eight high-risk CP-Kpn clones was detected, mainly ST307/OXA-48 (16.4%), ST11/OXA-48 (16.4%), and ST512-ST258/KPC (13.8%). ST512/KPC and ST15/OXA-48 were the most frequent bacteremia-causative clones. The average number of acquired resistance genes was higher in CP-Kpn (7.9) than in CP-Eco (5.5).
Conclusion: This study serves as a first step toward WGS integration in the surveillance of carbapenemase-producing Enterobacterales in Spain. We detected important epidemiological changes, including increased CP-Kpn and CP-Eco prevalence and incidence compared to previous studies, wide interregional dissemination, and increased dissemination of high-risk clones, such as ST307/OXA-48 and ST512/KPC-3.Funding: This research was supported by grants from the Instituto de Salud Carlos III (numbers PI18CIII/00030 and PI21CIII/00039). It was also supported by Plan Nacional de I + D + i 2013–2016, Instituto de Salud Carlos III, Subdirección General de Redes y Centros de Investigación Cooperativa, Ministerio de Economía y Competitividad, Spanish Network for Research in Infectious Diseases (grants RD16CIII/0004/0002, RD16/0016/0001, RD16/0016/0003, RD16/0016/0004, RD16/0016/0006, RD16/0016/0007, RD16/0016/0008, RD16/0016/0010, and RD16/0016/0011). Cofinanced by the European Development Regional Fund “A way to achieve Europe,” Operative Program Intelligent Growth 2014– 2020. CIBER – Consorcio Centro de Investigación Biomédica en Red (CB21/13/00095, CB21/13/00012, CB21/13/00049, CB21/13/00054, CB21/13/00055, CB21/13/00068, CB21/13/00081, CB21/13/00084, and CB21/13/00099) (CIBERINFEC) and Instituto de Salud Carlos III, Ministerio de Ciencia e Innovación and Unión Europea – NextGenerationEU also supported this work.
Acknowledgments: We thank all participating hospitals and the Genomics Unit of the Centro Nacional de Microbiología for support with DNA sequencing.CARB-ES-19 studyKlebsiella pneumoniaeCarbapenemasesHigh-risk clonesWhole genome sequencin
CARB-ES-19 Multicenter Study of Carbapenemase-Producing Klebsiella pneumonia e and Escherichia coli From All Spanish Provinces Reveals Interregional Spread of High-Risk Clones Such as ST307/OXA-48 and ST512/KPC-3
Objectives: CARB-ES-19 is a comprehensive, multicenter, nationwide study integrating whole-genome sequencing (WGS) in the surveillance of carbapenemase-producing K. pneumoniae (CP-Kpn) and E. coli (CP-Eco) to determine their incidence, geographical distribution, phylogeny, and resistance mechanisms in Spain.
Methods: In total, 71 hospitals, representing all 50 Spanish provinces, collected the first 10 isolates per hospital (February to May 2019); CPE isolates were first identified according to EUCAST (meropenem MIC > 0.12 mg/L with immunochromatography, colorimetric tests, carbapenem inactivation, or carbapenem hydrolysis with MALDI-TOF). Prevalence and incidence were calculated according to population denominators. Antibiotic susceptibility testing was performed using the microdilution method (EUCAST). All 403 isolates collected were sequenced for high-resolution single-nucleotide polymorphism (SNP) typing, core genome multilocus sequence typing (cgMLST), and resistome analysis.
Results: In total, 377 (93.5%) CP-Kpn and 26 (6.5%) CP-Eco isolates were collected from 62 (87.3%) hospitals in 46 (92%) provinces. CP-Kpn was more prevalent in the blood (5.8%, 50/853) than in the urine (1.4%, 201/14,464). The cumulative incidence for both CP-Kpn and CP-Eco was 0.05 per 100 admitted patients. The main carbapenemase genes identified in CP-Kpn were bla OXA-48 (263/377), bla KPC-3 (62/377), bla VIM-1 (28/377), and bla NDM-1 (12/377). All isolates were susceptible to at least two antibiotics. Interregional dissemination of eight high-risk CP-Kpn clones was detected, mainly ST307/OXA-48 (16.4%), ST11/OXA-48 (16.4%), and ST512-ST258/KPC (13.8%). ST512/KPC and ST15/OXA-48 were the most frequent bacteremia-causative clones. The average number of acquired resistance genes was higher in CP-Kpn (7.9) than in CP-Eco (5.5).
Conclusion: This study serves as a first step toward WGS integration in the surveillance of carbapenemase-producing Enterobacterales in Spain. We detected important epidemiological changes, including increased CP-Kpn and CP-Eco prevalence and incidence compared to previous studies, wide interregional dissemination, and increased dissemination of high-risk clones, such as ST307/OXA-48 and ST512/KPC-3.Funding: This research was supported by grants from the Instituto de Salud Carlos III (numbers PI18CIII/00030 and PI21CIII/00039). It was also supported by Plan Nacional de I + D + i 2013–2016, Instituto de Salud Carlos III, Subdirección General de Redes y Centros de Investigación Cooperativa, Ministerio de Economía y Competitividad, Spanish Network for Research in Infectious Diseases (grants RD16CIII/0004/0002, RD16/0016/0001, RD16/0016/0003, RD16/0016/0004, RD16/0016/0006, RD16/0016/0007, RD16/0016/0008, RD16/0016/0010, and RD16/0016/0011). Cofinanced by the European Development Regional Fund “A way to achieve Europe,” Operative Program Intelligent Growth 2014– 2020. CIBER – Consorcio Centro de Investigación Biomédica en Red (CB21/13/00095, CB21/13/00012, CB21/13/00049, CB21/13/00054, CB21/13/00055, CB21/13/00068, CB21/13/00081, CB21/13/00084, and CB21/13/00099) (CIBERINFEC) and Instituto de Salud Carlos III, Ministerio de Ciencia e Innovación and Unión Europea – NextGenerationEU also supported this work.
Acknowledgments: We thank all participating hospitals and the Genomics Unit of the Centro Nacional de Microbiología for support with DNA sequencing.CARB-ES-19 studyKlebsiella pneumoniaeCarbapenemasesHigh-risk clonesWhole genome sequencin
Pseudomonas aeruginosa antibiotic susceptibility profiles, genomic epidemiology and resistance mechanisms: a nation-wide five-year time lapse analysisResearch in context
Summary: Background: Pseudomonas aeruginosa healthcare-associated infections are one of the top antimicrobial resistance threats world-wide. In order to analyze the current trends, we performed a Spanish nation-wide high-resolution analysis of the susceptibility profiles, the genomic epidemiology and the resistome of P. aeruginosa over a five-year time lapse. Methods: A total of 3.180 nonduplicated P. aeruginosa clinical isolates from two Spanish nation-wide surveys performed in October 2017 and 2022 were analyzed. MICs of 13 antipseudomonals were determined by ISO-EUCAST. Multidrug resistance (MDR)/extensively drug resistance (XDR)/difficult to treat resistance (DTR)/pandrug resistance (PDR) profiles were defined following established criteria. All XDR/DTR isolates were subjected to whole genome sequencing (WGS). Findings: A decrease in resistance to all tested antibiotics, including older and newer antimicrobials, was observed in 2022 vs 2017. Likewise, a major reduction of XDR (15.2% vs 5.9%) and DTR (4.2 vs 2.1%) profiles was evidenced, and even more patent among ICU isolates [XDR (26.0% vs 6.0%) and DTR (8.9% vs 2.6%)] (p < 0.001). The prevalence of Extended-spectrum β-lactamase/carbapenemase production was slightly lower in 2022 (2.1%. vs 3.1%, p = 0.064). However, there was a significant increase in the proportion of carbapenemase production among carbapenem-resistant strains (29.4% vs 18.1%, p = 0.0246). While ST175 was still the most frequent clone among XDR, a slight reduction in its prevalence was noted (35.9% vs 45.5%, p = 0.106) as opposed to ST235 which increased significantly (24.3% vs 12.3%, p = 0.0062). Interpretation: While the generalized decrease in P. aeruginosa resistance, linked to a major reduction in the prevalence of XDR strains, is encouraging, the negative counterpart is the increase in the proportion of XDR strains producing carbapenemases, associated to the significant advance of the concerning world-wide disseminated hypervirulent high-risk clone ST235. Continued high-resolution surveillance, integrating phenotypic and genomic data, is necessary for understanding resistance trends and analyzing the impact of national plans on antimicrobial resistance. Funding: MSD and the Instituto de Salud Carlos III, Ministerio de Ciencia e Innovación and Unión Europea—NextGenerationEU