Factores asociados a infección de sitio quirúrgico en pacientes con Hemiartroplastía de cadera

Establecer los factores de riesgo y un modelo predictivo para infección de sitio quirúrgico (ISQ) en pacientes sometidos a hemiartroplastía de cadera. Material y métodos: Estudio observacional, retrospectivo y transversal realizado en el Hospital Víctor Lazarte Echegaray (HVLE) de Trujillo, donde se incluyeron pacientes sometidos a hemiartroplastía de cadera durante el periodo 2009 – 2019. De 318 expedientes médicos analizados, 243 cumplieron los criterios de inclusión. Se realizó un análisis bivariado utilizando las pruebas Chi-cuadrado y T de Student, considerándose significativo un valor de p < 0,05. Se ejecutó un análisis multivariado mediante regresión logística para identificar factores relacionados a ISQ. Asimismo, un modelo de predicción a través de la curva ROC. Resultados: Se identifican 22 ISQ, de tipo incisional superficial, lo que revela una prevalencia del 9,1%. En el análisis bivariado, la infección se asocia significativamente con la edad, nivel de instrucción, hipertensión arterial, enfermedad renal crónica, desnutrición, uso de drenaje, catéter urinario, transfusión sanguínea, estancia hospitalaria e índice NNIS ≥ 2, obteniendo valores de p < 0,05. Por otro lado, el análisis de regresión logística solo identifica al uso de drenaje (OR: 6,20; IC 95%: 1,25–30,85; p= 0,026), transfusión sanguínea (OR: 5,70; IC 95%: 1,35–24,00; p= 0,018), estancia hospitalaria (OR: 1,53; IC 95%: 1,18–2,00; p= 0,002) e índice NNIS ≥ 2 (OR: 34,52; IC 95%: 8,38–142,11; p < 0,001) como factores de riesgo independientes y significativos. El modelo predictivo para ISQ expuso un área bajo la curva de 0,955. Conclusiones: La ISQ en pacientes sometidos a hemiartroplastía de cadera se asocia con el uso de drenaje, transfusión sanguínea, estancia hospitalaria e índice de riesgo NNIS ≥ 2. Estas variables tienen una potencia de predicción del 95,5%.To establish risk factors and a predictive model for surgical site infection (SSI) in patients undergoing hip hemiarthroplasty. Material and methods: Observational, retrospective and cross-sectional study conducted at Victor Lazarte Echegaray Hospital (HVLE) in Trujillo, which included patients who underwent hip hemiarthroplasty during the period 2009-2019. Of 318 medical records analysed, 243 met the inclusion criteria. A bivariate analysis was performed using the Chi-square and Student's T tests, considering a p value < 0,05 significant. A multivariate analysis was performed using logistic regression to identify factors related to SSI. Also, a prediction model through the ROC curve. Results: 22 SSIs are identified, of superficial incisional type, revealing a prevalence of 9,1%. In the bivariate analysis, infection is significantly associated with age, education level, arterial hypertension, chronic kidney disease, malnutrition, use of drainage, urinary catheter, blood transfusion, hospital stay, and NNIS index ≥ 2, obtaining values of p < 0,05. On the other hand, logistic regression analysis only identifies the use of drainage (OR: 6,20; 95% CI: 1,25 – 30,85; p = 0,026), blood transfusion (OR: 5,70; 95% CI: 1,35 – 24,00; p = 0,018), hospital stay (OR: 1,53; 95% CI: 1,18 – 2,00; p = 0,002) and NNIS index ≥ 2 (OR: 34,52; 95% CI: 8,38 – 142,11; p < 0,001) as independent and significant risk factors. The predictive model for SSI exposed an area under the curve of 0,955. Conclusions: SSI in patients undergoing hip hemiarthroplasty is associated with the use of drainage, blood transfusion, hospital stay, and NNIS risk index ≥ 2. These variables have a predictive power of 95.5%.Tesi

Long-term effect of SARS-CoV-2 infection: Post-Covid-19 neurological syndrome

Introducción: La pandemia de la COVID-19 ha provocado aproximadamente 182 millones de casos y cerca de cuatro millones de muertes en todo el mundo, comprometiendo con mayor frecuencia a personas de 25 y 64 años de edad. Esta infección afecta principalmente al sistema respiratorio, pero otros órganos y sistemas pueden verse afectados a corto plazo como el neurológico. Una gran población de pacientes ha logrado superar la infección por el SARS-CoV-2, sin embargo, han comenzado a reportarse una serie de manifestaciones clínicas tardías, básicamente neuropsiquiátricas, dentro de ellas se ha referido a la ansiedad, depresión, deterioro del sueño, dolor muscular, mareos, cefaleas, fatiga, anosmia, entre otros; a este conjunto de manifestaciones tardías se le ha denominado síndrome neurológico post-Covid-19 y requiere por un lado, la atención de la comunidad médica para investigar las manifestaciones tardías o secuelas de esta enfermedad y por otro lado, una vigilancia médica ante la consulta de pacientes con estas manifestaciones

The fatal contribution of serine protease-related genetic variants to COVID-19 outcomes

IntroductionSerine proteases play a critical role during SARS-CoV-2 infection. Therefore, polymorphisms of transmembrane protease serine 2 (TMPRSS2) and serpine family E member 1 (SERPINE1) could help to elucidate the contribution of variability to COVID-19 outcomes.MethodsTo evaluate the genetic variants of the genes previously associated with COVID-19 outcomes, we performed a cross-sectional study in which 1536 SARS-CoV-2-positive participants were enrolled. TMPRSS2 (rs2070788, rs75603675, rs12329760) and SERPINE1 (rs2227631, rs2227667, rs2070682, rs2227692) were genotyped using the Open Array Platform. The association of polymorphisms with disease outcomes was determined by logistic regression analysis adjusted for covariates (age, sex, hypertension, type 2 diabetes, and obesity).ResultsAccording to our codominant model, the GA genotype of rs2227667 (OR=0.55; 95% CI = 0.36-0.84; p=0.006) and the AG genotype of rs2227667 (OR=0.59; 95% CI = 0.38-0.91; p=0.02) of SERPINE1 played a protective role against disease. However, the rs2227692 T allele and TT genotype SERPINE1 (OR=1.45; 95% CI = 1.11-1.91; p=0.006; OR=2.08; 95% CI = 1.22-3.57; p=0.007; respectively) were associated with a decreased risk of death. Similarly, the rs75603675 AA genotype TMPRSS2 had an OR of 1.97 (95% CI = 1.07-3.6; p=0.03) for deceased patients. Finally, the rs2227692 T allele SERPINE1 was associated with increased D-dimer levels (OR=1.24; 95% CI = 1.03-1.48; p=0.02).DiscussionOur data suggest that the rs75603675 TMPRSS2 and rs2227692 SERPINE1 polymorphisms are associated with a poor outcome. Additionally, rs2227692 SERPINE1 could participate in hypercoagulable conditions in critical COVID-19 patients, and this genetic variant could contribute to the identification of new pharmacological targets and treatment strategies to block the inhibition of TMPRSS2 entry into SARS-CoV-2

Albiglutide and cardiovascular outcomes in patients with type 2 diabetes and cardiovascular disease (Harmony Outcomes): a double-blind, randomised placebo-controlled trial

Background: Glucagon-like peptide 1 receptor agonists differ in chemical structure, duration of action, and in their effects on clinical outcomes. The cardiovascular effects of once-weekly albiglutide in type 2 diabetes are unknown. We aimed to determine the safety and efficacy of albiglutide in preventing cardiovascular death, myocardial infarction, or stroke. Methods: We did a double-blind, randomised, placebo-controlled trial in 610 sites across 28 countries. We randomly assigned patients aged 40 years and older with type 2 diabetes and cardiovascular disease (at a 1:1 ratio) to groups that either received a subcutaneous injection of albiglutide (30–50 mg, based on glycaemic response and tolerability) or of a matched volume of placebo once a week, in addition to their standard care. Investigators used an interactive voice or web response system to obtain treatment assignment, and patients and all study investigators were masked to their treatment allocation. We hypothesised that albiglutide would be non-inferior to placebo for the primary outcome of the first occurrence of cardiovascular death, myocardial infarction, or stroke, which was assessed in the intention-to-treat population. If non-inferiority was confirmed by an upper limit of the 95% CI for a hazard ratio of less than 1·30, closed testing for superiority was prespecified. This study is registered with ClinicalTrials.gov, number NCT02465515. Findings: Patients were screened between July 1, 2015, and Nov 24, 2016. 10 793 patients were screened and 9463 participants were enrolled and randomly assigned to groups: 4731 patients were assigned to receive albiglutide and 4732 patients to receive placebo. On Nov 8, 2017, it was determined that 611 primary endpoints and a median follow-up of at least 1·5 years had accrued, and participants returned for a final visit and discontinuation from study treatment; the last patient visit was on March 12, 2018. These 9463 patients, the intention-to-treat population, were evaluated for a median duration of 1·6 years and were assessed for the primary outcome. The primary composite outcome occurred in 338 (7%) of 4731 patients at an incidence rate of 4·6 events per 100 person-years in the albiglutide group and in 428 (9%) of 4732 patients at an incidence rate of 5·9 events per 100 person-years in the placebo group (hazard ratio 0·78, 95% CI 0·68–0·90), which indicated that albiglutide was superior to placebo (p&lt;0·0001 for non-inferiority; p=0·0006 for superiority). The incidence of acute pancreatitis (ten patients in the albiglutide group and seven patients in the placebo group), pancreatic cancer (six patients in the albiglutide group and five patients in the placebo group), medullary thyroid carcinoma (zero patients in both groups), and other serious adverse events did not differ between the two groups. There were three (&lt;1%) deaths in the placebo group that were assessed by investigators, who were masked to study drug assignment, to be treatment-related and two (&lt;1%) deaths in the albiglutide group. Interpretation: In patients with type 2 diabetes and cardiovascular disease, albiglutide was superior to placebo with respect to major adverse cardiovascular events. Evidence-based glucagon-like peptide 1 receptor agonists should therefore be considered as part of a comprehensive strategy to reduce the risk of cardiovascular events in patients with type 2 diabetes. Funding: GlaxoSmithKline

Multiplicity dependence of light (anti-)nuclei production in p–Pb collisions at sNN=5.02 TeV

The measurement of the deuteron and anti-deuteron production in the rapidity range −1 < y < 0 as a function of transverse momentum and event multiplicity in p–Pb collisions at √sNN = 5.02 TeV is presented. (Anti-)deuterons are identified via their specific energy loss dE/dx and via their time-of- flight. Their production in p–Pb collisions is compared to pp and Pb–Pb collisions and is discussed within the context of thermal and coalescence models. The ratio of integrated yields of deuterons to protons (d/p) shows a significant increase as a function of the charged-particle multiplicity of the event starting from values similar to those observed in pp collisions at low multiplicities and approaching those observed in Pb–Pb collisions at high multiplicities. The mean transverse particle momenta are extracted from the deuteron spectra and the values are similar to those obtained for p and particles. Thus, deuteron spectra do not follow mass ordering. This behaviour is in contrast to the trend observed for non-composite particles in p–Pb collisions. In addition, the production of the rare 3He and 3He nuclei has been studied. The spectrum corresponding to all non-single diffractive p-Pb collisions is obtained in the rapidity window −1 < y < 0 and the pT-integrated yield dN/dy is extracted. It is found that the yields of protons, deuterons, and 3He, normalised by the spin degeneracy factor, follow an exponential decrease with mass number

Educar en derechos humanos : un espacio para el juego

Proyecto Aula Activa: Juegos Cooperativos para la educación para la paz Guía didáctica Colección: Jugando para la paz Material didáctico gratuito Editora Evelyn Cerdas AgüeroEsta guía didáctica titulada “Educar en derechos humanos un espacio para el juego” forma parte del proyecto Aula activa: juegos educativos para la educación para la paz del Instituto de Estudios Latinoamericanos (IDELA). Este proyecto busca fomentar en el estudiantado un proceso de cambio en la aprehensión y vivencia de los derechos humanos de manera que logren reconstruir actitudes, aprender valores y desarrollar habilidades susceptibles de ejercitarse en su interacción diaria, por medio de conductas y actitudes coherentes con el respeto de los derechos humanos y la construcción de una cultura de paz. En este participan estudiantes del curso Espacios Lúdicos para la Educación en Derechos Humanos del Instituto de Estudios Latinoamericanos. Autores: Chacón Campos Stephanie González Camacho Ana Lucía Loría Cubillo Marco Oconitrillo Arce Yuliana Quesada Sancho Fabiola Adrián Barrantes Aguilar Karina Díaz Monge Edith Jiménez Venegas Valeria Moya Pereira Nicolás Salas Ruíz Ericka Sánchez Morera Raúl Hidalgo Perez Stephen Mekbel Ashley Pereira Mónica Cordero Ramírez Jennifer Matarrita Corrales Pamela Brenes Navarro Elvira Mena Brenes Daniela Murillo Orozco Susan Solano Monge Francisco Suarez Pérez Carlos González Leandro Priscilla López Rojas. Carolina Montero Iyara Vargas Lobo Evelyn Figueroa Elizondo Anne Hübner Jacqueline Valencia González Miriam Lizbeth Velázquez Ávila Valerie Calderón Jennifer Campos Jessica Ochoa Monserrath Navarro Ericka Lewis Carolina Rojas Jazmín Arroyo Calderón Melany Arroyo Calderón Mónica Brenes Luna María Sofía Haug Cordero María José Redondo Ríos Ayleen Cascante Zúñiga Marta Azofeifa Matamoros Melanie Guillén Miranda Scarleth Luca Brenes David Valverde Murillo María Castro Arce Natalia Chacón Muñoz Hazel Campos Hernández María José Garita Barahona Raquel González Hernández Laura Ramos Solórzano Gisselle Porras Víquez Pedro ChaverríThis didactic guide entitled "Educating in human rights, a space for play" is part of the project Active Classroom: educational games for peace education of the Institute of Latin American Studies (IDELA). This project seeks to foster in students a process of change in the understanding and experience of human rights so that they can rebuild attitudes, learn values and develop skills that can be exercised in their daily interaction, through behaviors and attitudes consistent with respect for human rights and the construction of a culture of peace. Students from the course Playful Spaces for Human Rights Education of the Institute of Latin American Studies participate in this one. Authors: Chacón Campos Stephanie González Camacho Ana Lucía Loría Cubillo Marco Oconitrillo Arce Yuliana Quesada Sancho Fabiola Adrian Barrantes Aguilar Karina Díaz Monge Edith Jimenez Venegas Valeria Moya Pereira Nicolás Salas Ruíz Ericka Sánchez Morera Raúl Hidalgo Perez Stephen Mekbel Ashley Pereira Mónica Cordero Ramírez Jennifer Matarrita Corrales Pamela Brenes Navarro Elvira Mena Brenes Daniela Murillo Orozco Susan Solano Monge Francisco Suarez Perez Carlos González Leandro Priscilla Lopez Rojas Carolina Montero Iyara Vargas Lobo Evelyn Figueroa Elizondo Anne Hübner Jacqueline Valencia González Miriam Lizbeth Velázquez Ávila Valerie Calderon Jennifer Campos Jessica Ochoa Monserrath Navarro Ericka Lewis Carolina Rojas Jazmin Arroyo Calderon Melany Arroyo Calderon Mónica Brenes Luna María Sofía Haug Cordero María José Redondo Ríos Ayleen Cascante Zúñiga Marta Azofeifa Matamoros Melanie Guillén Miranda Scarleth Luca Brenes David Valverde Murillo María Castro Arce Natalia Chacón Muñoz Hazel Campos Hernández María José Garita Barahona Raquel González Hernández Laura Ramos Solórzano Gisselle Porras Víquez Pedro ChaverríInstituto de Estudios Latinoamericano

XVII International Congress of Control Electronics and Telecommunications: "Advanced Science, Technology and Innovation to move towards a new socio-technical system: Sustainable Social Transformation"

Contenido: Approach to the diagnostic of cesarean birth using bio-inspired models. ; Design of a tool in a virtual reality environment to manipulate anatomical models. ; The effect of COVID-19 restrictions on the electricity price forecasting models. ; Depression prevention through artificial intelligence. ; State of the art in Prototypes as complements to the learning of the Colombian Sign Language (LSC). ; A computational proposal for gene expression deterministic analysis in associated disorders to depression and anxiety. ; Evaluation of postural stability from the predictability of the measurement of the center of pressure. ; Psychophysiological Analysis of Sound Stimuli.; Delphi method for the identification of relevant variables in the development of low-power photovoltaic solar projects. ; Socioeconomic impact of a refrigerator powered by a photovoltaic system in La Guajira. ; Energy Efficiency: characteristics that allow the reduction of greenhouse gases in. ; Possibilities for the implementation of a bioreactor from organic waste. ; Energy Potential with Small Hydroelectric Power Plants in Non- interconnected Zones of Colombia. ; Energy Potential in Photovoltaic Solar Solutions in Non-Interconnected Areas of Colombia. ; Photovoltaic system, towards the energy transition from home. ; Blockchain model to increase the transparency of public sector processes. ; Intelligent agricultural irrigation prescription system based on sensor networks and crop modeling. ; Design and implementation of a digital modulation classification system using intelligent algorithms. ; A mobile application proposal to minimize intermediation during agricultural process distribution of products in supply chain. ; Accompanying strategy for the social appropriation of new technologies in vulnerable agricultural communities: case in communities producing Gulupas fruits (Passiflora edulis Sims). ; Predictive model of transparency as an indicator of Public Policies. ; Smart system for recognition of ripening level in blackberry fruits. ; Project-based learning as an alternative methodology for technological education in electronics. ; Design and construction of an automated system for N. ; Four bar mechanisms (FBM) and their Software-Based applications: a reviewFT aquaponic culture of Red Carp and Crespa Lettuce. ; Intelligent search implementation for the construction of states of the art: a python application. ; Indoor and Outdoor propagation models on 5G environments: state of the art. ;The electronic detection of offenders (DOO) in the District Secretary of mobility of Bogotá: a step forward in the configuration of the concept of digital citizenship in Colombia. ; Monitoring through ICT of Mobility: technological collaborative feature to incorporate IoT in a Smart City. ; Characterization model of asphalt mixtures using digital image processing. ; Review: identification of diseases and/or pests in fruit trees through image processing techniques and artificial intelligence. ; VRS applicated to Nasa Yuwe language. ; Application of Pix2Pix for edge reconstruction in images. ; Brushless DC Motor Control System for Active Myoelectric Prosthesis. ; Implementation of a Water Conductivity Measuring System. ; 2 DOF robot programmed with MatLab® (guide and Peter Corke) and Arduino uno for writing alphabetical characters. ; Simulator of the behavior of the center of mass in a quadruped robot. ; Biomimetic prototype for flapping movement of batsContent: Contenido: Approach to the diagnostic of cesarean birth using bio-inspired models. ; Design of a tool in a virtual reality environment to manipulate anatomical models. ; The effect of COVID-19 restrictions on the electricity price forecasting models. ; Depression prevention through artificial intelligence. ; State of the art in Prototypes as complements to the learning of the Colombian Sign Language (LSC). ; A computational proposal for gene expression deterministic analysis in associated disorders to depression and anxiety. ; Evaluation of postural stability from the predictability of the measurement of the center of pressure. ; Psychophysiological Analysis of Sound Stimuli.; Delphi method for the identification of relevant variables in the development of low-power photovoltaic solar projects. ; Socioeconomic impact of a refrigerator powered by a photovoltaic system in La Guajira. ; Energy Efficiency: characteristics that allow the reduction of greenhouse gases in. ; Possibilities for the implementation of a bioreactor from organic waste. ; Energy Potential with Small Hydroelectric Power Plants in Non- interconnected Zones of Colombia. ; Energy Potential in Photovoltaic Solar Solutions in Non-Interconnected Areas of Colombia. ; Photovoltaic system, towards the energy transition from home. ; Blockchain model to increase the transparency of public sector processes. ; Intelligent agricultural irrigation prescription system based on sensor networks and crop modeling. ; Design and implementation of a digital modulation classification system using intelligent algorithms. ; A mobile application proposal to minimize intermediation during agricultural process distribution of products in supply chain. ; Accompanying strategy for the social appropriation of new technologies in vulnerable agricultural communities: case in communities producing Gulupas fruits (Passiflora edulis Sims). ; Predictive model of transparency as an indicator of Public Policies. ; Smart system for recognition of ripening level in blackberry fruits. ; Project-based learning as an alternative methodology for technological education in electronics. ; Design and construction of an automated system for N. ; Four bar mechanisms (FBM) and their Software-Based applications: a reviewFT aquaponic culture of Red Carp and Crespa Lettuce. ; Intelligent search implementation for the construction of states of the art: a python application. ; Indoor and Outdoor propagation models on 5G environments: state of the art. ;The electronic detection of offenders (DOO) in the District Secretary of mobility of Bogotá: a step forward in the configuration of the concept of digital citizenship in Colombia. ; Monitoring through ICT of Mobility: technological collaborative feature to incorporate IoT in a Smart City. ; Characterization model of asphalt mixtures using digital image processing. ; Review: identification of diseases and/or pests in fruit trees through image processing techniques and artificial intelligence. ; VRS applicated to Nasa Yuwe language. ; Application of Pix2Pix for edge reconstruction in images. ; Brushless DC Motor Control System for Active Myoelectric Prosthesis. ; Implementation of a Water Conductivity Measuring System. ; 2 DOF robot programmed with MatLab® (guide and Peter Corke) and Arduino uno for writing alphabetical characters. ; Simulator of the behavior of the center of mass in a quadruped robot. ; Biomimetic prototype for flapping movement of bat

I simposio Internacional sobre Investigación en la enseñanza de las ciencias

Edición 202

Revista Temas Agrarios Volumen 26; Suplemento 1 de 2021

1st International and 2nd National Symposium of Agronomic Sciences: The rebirth of the scientific discussion space for the Colombian Agro.1 Simposio Intenacional y 2 Nacional de Ciencias Agronómicas: El renacer del espacio de discusión científica para el Agro colombiano