Impacto de la tomografía computada en el manejo de la diverticulitis aguda del colon

Introducción: La diverticulitis aguda colónica (DAC) ha incrementado su incidencia durante las últimas décadas. La Tomografía Computada (TC) es el estándar de oro para su diagnóstico, ya que permite la identificación temprana de formas severas y de complicaciones. Objetivo: Comparar variables demográficas, clínicas, radiológicas y pronósticas en pacientes con DAC con manejo médico o quirúrgico. Material y métodos: De enero de 2006 a agosto de 2008, se incluyeron consecutivamente a todos los pacientes adultos con DAC corroborado por medio de TC atendidos en un hospital de tercer nivel de atención privada de la ciudad de Monterrey. Se registraron variables demográficas (edad y género), clínicas, de laboratorio, uso de antimicrobianos y pronósticas. La TC se realizó en todos los pacientes durante las 12 horas inmediatas a su ingreso. Se realizó análisis estadístico descriptivo y comparativo, considerando una diferencia significativa para valores de p < 0.05. Resultados: Se incluyeron 49 pacientes, hombres y mujeres, media de edad 55.2 ± 13.4. Con respecto al manejo, el 28.6% (n=14) fueron manejados quirúrgicamente y el 71.4% (n = 35) tuvo manejo médico. Con respecto a la gravedad, el 89.7% (n = 44) tuvo un episodio leve, requiriendo cirugía el 26.5%(n = 13). No se encontraron diferencias significativas entre ambos grupos con respecto al número de episodios previos de DAC ni a la estancia hospitalaria. No hubo defunciones. Conclusiones: La mayoría de los cuadros de DAC fueron leves. La decisión de la realización de una cirugía no dependió en base a los hallazgos de la TC. El tratamiento con antibióticos es muy heterogéneo y no parece influir en la decisión terapéutica, aunque en el caso de aquellos con cirugía existe una tendencia para el empleo de mayor número. La conducta de manejo quirúrgico es peculiar y no se aproxima a las guías nacionales o internacionales

A Bayesian Multiple-Trait and Multiple-Environment Model Using the Matrix Normal Distribution

Genomic selection (GS) is playing a major role in plant breeding for the selection of candidate individuals (animal or plants) early in time. However, for improving GS better statistical models are required. For this reason, in this chapter book we provide an improved version of the Bayesian multiple-trait and multiple-environment (BMTME) model of Montesinos-López et al. that takes into account the correlation between traits (genetic and residual) and between environments since allows general covariance’s matrices. This improved version of the BMTME model was derived using the matrix normal distribution that allows a more easy derivation of all full conditional distributions required, allows a more efficient model in terms of time of implementation. We tested the proposed model using simulated and real data sets. According to our results we have elements to conclude that this model improved considerably in terms of time of implementation and it is better than a Bayesian multiple-trait, multiple-environment model that not take into account general covariance structure for covariance’s of the traits and environments

Treatments for the Infection by SARS-CoV-2

In late 2019, pneumonia cases from unknown origin were detected in Wuhan, China. The cause was a new coronavirus. The World Health Organization (WHO) named the virus SARS-CoV-2 and COVID-19 the associated disease. In the first months of 2020, this disease became a pandemic with a high lethality reported. Since then, the search for treatments began. We started by searching among treatments previously approved for human use that were not designed for COVID-19 and were considered to treat this condition. We continued searching on the therapeutics guidelines published by the WHO for the management of infection by SARS-CoV-2. Based on these results, we searched for the literature in PubMed to obtain further evidence on the drugs against SARS-CoV-2. The treatments presented in this chapter are Ivermectin, Hydroxychloroquine, Nitazoxanide, Azithromycin, Molnupiravir, Casirivimab-Imdevimab, Ritonavir-Nirmatrelvir, Ritonavir-Lopinavir, Remdesivir, and Favipiravir. Two years ahead of the start of the COVID-19 pandemic, a plenty of options for treatment have been investigated. Only a few of them have been shown to be efficient and safe. According to the WHO, Ritonavir-Nirmatrelvir outperforms other proposed therapeutics

Identification of Marine Biotechnology Value Chains with High Potential in the Northern Mediterranean Region

© 2023. The authors. This document is made available under the CC-BY 4.0 license http://creativecommons.org/licenses/by /4.0/ This document is the Accepted version of a Published Work that appeared in final form in Marine Drugs. To access the final edited and published work see https://doi.org/10.3390/md21070416Marine (blue) biotechnology is an emerging field enabling the valorization of new products and processes with massive potential for innovation and economic growth. In the Mediterranean region, this innovation potential is not exploited as well as in other European regions due to a lack of a clear identification of the different value chains and the high fragmentation of business innovation initiatives. As a result, several opportunities to create an innovative society are being missed. To address this problem, eight Northern Mediterranean countries (Croatia, France, Greece, Mar. Drugs 2023, 21, 416. https://doi.org/10.3390/md21070416 https://www.mdpi.com/journal/marinedrugs Mar. Drugs 2023, 21, 416 2 of 26 Italy, Montenegro, Portugal, Slovenia and Spain) established five national blue biotechnology hubs to identify and address the bottlenecks that prevent the development of marine biotechnology in the region. Following a three-step approach (1. Analysis: setting the scene; 2. Transfer: identification of promising value chains; 3. Capitalization: community creation), we identified the three value chains that are most promising for the Northern Mediterranean region: algae production for added-value compounds, integrated multi-trophic aquaculture (IMTA) and valorization aquaculture/fisheries/processing by-products, unavoidable/unwanted catches and discards. The potential for the development and the technical and non-technical skills that are necessary to advance in this exciting field were identified through several stakeholder events which provided valuable insight and feedback that should be addressed for marine biotechnology in the Northern Mediterranean region to reach its full potential

Identification of Marine Biotechnology Value Chains with High Potential in the Northern Mediterranean Region

©2023. This manuscript version is made available under the CC-BY 4.0 license http://creativecommons.org/licenses/by/4.0/ This document is the Published, version of a Published Work that appeared in final form in Marine Drugs. To access the final edited and published work see https://doi.org/ 10.3390/md21070416Marine (blue) biotechnology is an emerging field enabling the valorization of new products and processes with massive potential for innovation and economic growth. In the Mediterranean region, this innovation potential is not exploited as well as in other European regions due to a lack of a clear identification of the different value chains and the high fragmentation of business innovation initiatives. As a result, several opportunities to create an innovative society are being missed. To address this problem, eight Northern Mediterranean countries (Croatia, France, Greece Italy, Montenegro, Portugal, Slovenia and Spain) established five national blue biotechnology hubs to identify and address the bottlenecks that prevent the development of marine biotechnology in the region. Following a three-step approach (1. Analysis: setting the scene; 2. Transfer: identifi cation of promising value chains; 3. Capitalization: community creation), we identified the three value chains that are most promising for the Northern Mediterranean region: algae production for added-value compounds, integrated multi-trophic aquaculture (IMTA) and valorization aquacul ture/fisheries/processing by-products, unavoidable/unwanted catches and discards. The potential for the development and the technical and non-technical skills that are necessary to advance in this exciting field were identified through several stakeholder events which provided valuable insight and feedback that should be addressed for marine biotechnology in the Northern Mediterranean region to reach its full potential

Integrative development of a short screening questionnaire of highly processed food consumption (sQ-HPF)

Background: Recent lifestyle changes include increased consumption of highly processed foods (HPF), which has been associated with an increased risk of non-communicable diseases (NCDs). However, nutritional information relies on the estimation of HPF consumption from food-frequency questionnaires (FFQ) that are not explicitly developed for this purpose. We aimed to develop a short screening questionnaire of HPF consumption (sQ-HPF) that integrates criteria from the existing food classification systems. Methods: Data from 4400 participants (48.1% female and 51.9% male, 64.9 +/- 4.9 years) of the Spanish PREDIMED-Plus (PREvention with MEDiterranean DIet) trial were used for this analysis. Items from the FFQ were classified according to four main food processing-based classification systems (NOVA, IARC, IFIC and UNC). Participants were classified into tertiles of HPF consumption according to each system. Using binomial logistic regression, food groups associated with agreement in the highest tertile for at least two classification systems were chosen as items for the questionnaire. ROC analysis was used to determine cut-off points for the frequency of consumption of each item, from which a score was calculated. Internal consistency of the questionnaire was assessed through exploratory factor analysis (EFA) and Cronbach's analysis, and agreement with the four classifications was assessed with weighted kappa coefficients. Results: Regression analysis identified 14 food groups (items) associated with high HPF consumption for at least two classification systems. EFA showed that items were representative contributors of a single underlying factor, the HPF dietary pattern (factor loadings around 0.2). We constructed a questionnaire asking about the frequency of consumption of those items. The threshold frequency of consumption was selected using ROC analysis. Comparison of the four classification systems and the sQ-HPF showed a fair to high agreement. Significant changes in lifestyle characteristics were detected across tertiles of the sQ-HPF score. Longitudinal changes in HPF consumption were also detected by the sQ-HPF, concordantly with existing classification systems. Conclusions: We developed a practical tool to measure HPF consumption, the sQ-HPF. This may be a valuable instrument to study its relationship with NCDs

Carbon dioxide (CO2) emissions and adherence to Mediterranean diet in an adult population: the Mediterranean diet index as a pollution level index

Background Research related to sustainable diets is is highly relevant to provide better understanding of the impact of dietary intake on the health and the environment. Aim To assess the association between the adherence to an energy-restricted Mediterranean diet and the amount of CO2 emitted in an older adult population. Design and population Using a cross-sectional design, the association between the adherence to an energy-reduced Mediterranean Diet (erMedDiet) score and dietary CO2 emissions in 6646 participants was assessed. Methods Food intake and adherence to the erMedDiet was assessed using validated food frequency questionnaire and 17-item Mediterranean questionnaire. Sociodemographic characteristics were documented. Environmental impact was calculated through greenhouse gas emissions estimations, specifically CO2 emissions of each participant diet per day, using a European database. Participants were distributed in quartiles according to their estimated CO2 emissions expressed in kg/day: Q1 (= 2.80 kg CO2). Results More men than women induced higher dietary levels of CO2 emissions. Participants reporting higher consumption of vegetables, fruits, legumes, nuts, whole cereals, preferring white meat, and having less consumption of red meat were mostly emitting less kg of CO2 through diet. Participants with higher adherence to the Mediterranean Diet showed lower odds for dietary CO2 emissions: Q2 (OR 0.87; 95%CI: 0.76-1.00), Q3 (OR 0.69; 95%CI: 0.69-0.79) and Q4 (OR 0.48; 95%CI: 0.42-0.55) vs Q1 (reference). Conclusions The Mediterranean diet can be environmentally protective since the higher the adherence to the Mediterranean diet, the lower total dietary CO2 emissions. Mediterranean Diet index may be used as a pollution level index

Dinámica empresarial: análisis de coyuntura en Ecuador

Economía en pandemia surge como un aporte al análisis y conocimiento de la realidad económica, social y empresarial ecuatoriana desde la Maestría de Administración de Empresas de la Universidad Politécnica Salesiana. La publicación aborda distintos temas: desde cuestiones relacionadas con las reformas tributarias ocurridas entre 2014 y 2018 hasta el análisis del impacto de la pandemia del COVID-19, en el sector de la construcción de la ciudad de Cuenca. Además, temas comerciales como el crecimiento de la demanda de automóviles de marcas chinas frente a marcas tradicionales, el análisis de las herramientas del comercio en línea utilizadas por la mipymes del sector textil y la relación comercial entre la concesionaria Yilport Terminal Operations del Terminal Marítimo Portuario de Puerto Bolívar ubicado en la provincia de El Oro

Consumption of caffeinated beverages and kidney function decline in an elderly Mediterranean population with metabolic syndrome

It remains unclear whether caffeinated beverages could have deleterious renal effects in elderly population with underlying comorbid conditions. We investigated the associations between coffee, tea, or caffeine intake and 1-year changes in glomerular filtration rate (eGFR) in a large Spanish cohort of overweight/obese elderly with metabolic syndrome (MetS). This prospective analysis includes 5851 overweight/obese adults (55-75 years) with MetS from the PREDIMED-Plus study. We assessed coffee, tea, and caffeine consumption from a validated food-frequency questionnaire and creatinine-based eGFR using the Chronic Kidney Disease Epidemiology Collaboration equation. Multivariate-adjusted regression models were applied to test associations between baseline coffee, tea, or caffeine intake and 1-year eGFR changes. Caffeinated coffee (> 2 cups/day) and tea (at least 1 cup/day) drinkers had 0.88 and 0.93 mL/min/1.73 m2 greater eGFR decrease respectively, compared to those with less than 1 cup/day of coffee consumption or non-tea drinkers. Furthermore, caffeinated coffee consumption of > 2 cups/day was associated with 1.19-fold increased risk of rapid eGFR decline > 3 mL/min/1.73 m2 (95% CI 1.01-1.41). Similarly, individuals in the highest (median, 51.2 mg/day) tertile of caffeine intake had a 0.87 mL/min/1.73 m2 greater eGFR decrease. Decaffeinated coffee was not associated with eGFR changes. In conclusion, higher consumption of caffeinated coffee, tea, and caffeine was associated with a greater 1-year eGFR decline in overweight/obese adults with MetS

Mediterranean, DASH, and MIND Dietary Patterns and Cognitive Function: The 2-Year Longitudinal Changes in an Older Spanish Cohort

Background and Aims: Plant-forward dietary patterns have been associated with cardiometabolic health benefits, which, in turn, have been related to cognitive performance with inconsistent findings. The objective of this study was to examine the relationship between baseline adherence to three a priori dietary patterns (Mediterranean, DASH, and MIND diets) with 2-year changes in cognitive performance in older adults with overweight or obesity and high cardiovascular disease risk. Methods: A prospective cohort analysis was conducted within the PREDIMED-Plus trial, involving 6,647 men and women aged 55-75 years with overweight or obesity and metabolic syndrome. Using a validated, semiquantitative 143-item food frequency questionnaire completed at baseline, the dietary pattern adherence scores were calculated. An extensive neuropsychological test battery was administered at baseline and 2-year follow-up. Multivariable-adjusted linear regression models were used to assess associations between 2-year changes in cognitive function z-scores across tertiles of baseline adherence to the a priori dietary patterns. Results: Adherence to the Mediterranean diet at baseline was associated with 2-year changes in the general cognitive screening Mini-Mental State Examination (MMSE, β: 0.070; 95% CI: 0.014, 0.175, P-trend = 0.011), and two executive function-related assessments: the Trail Making Tests Part A (TMT-A, β: −0.054; 95% CI: −0.110, − 0.002, P-trend = 0.047) and Part B (TMT-B, β: −0.079; 95% CI: −0.134, −0.024, P-trend = 0.004). Adherence to the MIND diet was associated with the backward recall Digit Span Test assessment of working memory (DST-B, β: 0.058; 95% CI: 0.002, 0.114, P-trend = 0.045). However, higher adherence to the DASH dietary pattern was not associated with better cognitive function over a period of 2 years. Conclusion: In older Spanish individuals with overweight or obesity and at high cardiovascular disease risk, higher baseline adherence to the Mediterranean dietary pattern may be associated with better cognitive performance than lower adherence over a period of 2 years