Caracterización de barita cubana y su reducción carbotérmica en horno de microondas

[email protected] barita cubana (BaSO4) se ha caracterizado por difracción de rayos X, análisis químico y microscopía electrónica de barrido. Se han identificado sus componentes mayoritarios y así mismo se muestra su morfología característica. Se ha realizado su reducción carbotérmica en horno de microondas con el propósito de mejorar el rendimiento de esta etapa durante el proceso de transformación del mineral en sulfuro de bario (producto intermedio), a partir del cual se obtienen reactivos de bario para diversas aplicaciones.The Cuban Barite (BaSO4) is characterized by X ray diffraction, chemical analysis and scanning electron microscopy. The principal components are identified and its characteristic morphology is shown. Its carbothermic reduction under microwave irradiation is carried out with the purpose of to improve the yield of this stage during the mineral transformation process in reagent of barium of diverse applications

Ecosistema de Manglar de la Bahía de Panamá: Investigaciones en desarrollo

Los bosques de manglar que existen en el mundo son ecosistemas extremada- mente productivos, tanto en el sentido biomasa como en el almacenamiento de carbono y otros usos. Estos bosques de manglar almacenan gran cantidad de car- bono no solo a nivel aéreo sino por debajo del suelo, siendo en algunos casos mayores secuestradores que otros organismos similares. Debido a esta importancia, el objetivo principal de esta mesa redonda realizada fue presentar las diferentes investigaciones que se están desarrollando relacionadas al ecosistema de manglar, específicamente las investigaciones que actualmente se están desarrollando en la Bahía de Panamá. Los expositores presentaron los avances de sus investigaciones sobre: el análisis de flujos de flujos de CO2; hidrodinámica de las halófitas y el papel de los rasgos de la vegetación en la respuesta del ecosistema a las perturbaciones en la interfaz terrestre-acuática; análisis de las variables meteorológicas de humedad y temperatura del aire en un manglar de Juan Díaz; y desarrollos informáticos en Python para la administración de data proveniente de la torre en el manglar de Juan Díaz. En todas las presentaciones hubo una sesión de preguntas y respuestas, enfocadas sobre cómo implementar políticas públicas y compromisos vinculantes que permitan un mejor manejo y conservación de los ecosistemas de manglar

Ventilator-associated pneumonia is an important risk factor for mortality after major cardiac surgery

Producción CientíficaVentilator-associated pneumonia (VAP) is the main infectious complication in cardiac surgery patients and is associated with an important increase in morbidity and mortality. The aim of our study was to analyze the impact of VAP on mortality excluding other comorbidities and to study its etiology and the risk factors for its development. MATERIALS AND METHODS: This prospective cohort study included 1610 postoperative cardiac surgery patients' status post cardiopulmonary bypass (CPB) between July 2004 and January 2008. The primary outcome measures were the development of VAP and in-hospital mortality. RESULTS: Ventilator-associated pneumonia was observed in 124 patients (7.7%). Patients with VAP had a longer length of hospitalization (40.7 ± 35.1 vs 16.1 ± 30.1 days, P <.0001) and greater in-hospital mortality (49.2% [61/124] vs 2.0% [30/1486], P =.0001) in comparison with patients without VAP. After performing the Cox multivariant analysis adjustment, VAP was identified as the most important independent mortality risk factor (adjusted hazard ratio [HR], 8.53; 95% confidence interval, 4.21-17.30; P =.0001). Other independent risk factors of in-hospital mortality were chronic renal failure (HR, 2.56), diabetes mellitus (HR, 1.90), CPB time (HR, 1.51), respiratory failure (HR, 2.13), acute renal failure (HR, 2.39), and mediastinal bleeding of at least 1000 mL (HR, 1.81)

Diagnosis of cardiac surgery-associated acute kidney injury: State of the art and perspectives

Producción CientíficaDiagnosis of cardiac surgery-associated acute kidney injury (CSA-AKI), a syndrome of sudden renal dysfunction occurring in the immediate post-operative period, is still sub-optimal. Standard CSA-AKI diagnosis is performed according to the international criteria for AKI diagnosis, afflicted with insufficient sensitivity, specificity, and prognostic capacity. In this article, we describe the limitations of current diagnostic procedures and of the so-called injury biomarkers and analyze new strategies under development for a conceptually enhanced diagnosis of CSA-AKI. Specifically, early pathophysiological diagnosis and patient stratification based on the underlying mechanisms of disease are presented as ongoing developments. This new approach should be underpinned by process-specific biomarkers including, but not limited to, glomerular filtration rate (GFR) to other functions of renal excretion causing GFR-independent hydro-electrolytic and acid-based disorders. In addition, biomarker-based strategies for the assessment of AKI evolution and prognosis are also discussed. Finally, special focus is devoted to the novel concept of pre-emptive diagnosis of acquired risk of AKI, a premorbid condition of renal frailty providing interesting prophylactic opportunities to prevent disease through diagnosis-guided personalized patient handling. Indeed, a new strategy of risk assessment complementing the traditional scores based on the computing of risk factors is advanced. The new strategy pinpoints the assessment of the status of the primary mechanisms of renal function regulation on which the impact of risk factors converges, namely renal hemodynamics and tubular competence, to generate a composite and personalized estimation of individual risk.Instituto de Salud Carlos III y Fondo Europeo de Desarrollo Regional (FEDER) - (grant PI18/00996, PI21/01226), Unión Europea, Red de Investigación Renal (Enfermedad Renal) - (grant RICORS2040)Unión Europea–NextGenerationEU, Mecanismo para la Recuperación y la Resiliencia (MRR) - (grant RD21/0005/0004)Junta de Castilla y León (Consejería de Educación) y Fondo Europeo de Desarrollo Regional (FEDER) - (grant IES160P20

IFNL3 rs12980275 Polymorphism Predicts Septic Shock-Related Death in Patients Undergoing Major Surgery: A Retrospective Study

Interferon lambda 3 (IFNL3, previously called IL-28B) is a cytokine with effects against viral and bacterial pathogens. We aimed to analyze the IFNL3 rs12980275 SNP in patients who underwent major surgery, in order to establish its relationship with susceptibility to septic shock and septic shock-related death in these patients. We performed a case-control study on 376 patients to establish the association between IFNL3 rs12980275 SNP and the susceptibility to develop septic shock. Besides, we performed a longitudinal study among 172 septic shock patients using survival analysis with one censoring point of 28-days mortality. The IFNL3 rs12980275 polymorphism was genotyped by Agena Bioscience's MassARRAY platform. IFNL3 rs12980275 polymorphism was not associated with higher susceptibility to infection and septic shock development. Regarding survival analysis, the Kaplan-Meier analysis showed that patients with IFNL3 rs12980275 AA genotype had higher survival than patients with GG genotype (p = 0.003). The Cox regression analysis adjusted by the most relevant clinical and epidemiological characteristics showed that the GG genotype (recessive model) and the presence of the G allele (additive model) were associated with higher risk of death [adjusted hazard ratio (aHR) = 2.15, p = 0.034; aHR = 1.50, p = 0.030, respectively]. In conclusion, IFNL3 rs12980275 polymorphism was associated with septic shock-related death in patients who underwent major surgery. The A allele was linked to protection, and the G allele was associated with an increased risk of death. This is a first preliminary study that suggests for the first time a role of IFNL3 polymorphisms in the prognosis of septic shock.This work has been supported by grants given by Instituto de Salud Carlos III (grant numbers PI15/01451 to ET), Gerencia de Salud, Consejería de Sanidad, Junta de Castilla y Leon (grant number GRS 463/A/10 and 773/A/13 to ET), and PFIZER (grant number CT25-ESP01-01 to SR). MJ-S and AF-R are supported by Instituto de Salud Carlos III (grant numbers CP17CIII/00007 and CP14CIII/00010, respectively).S

HGF, IL-1α, and IL-27 Are Robust Biomarkers in Early Severity Stratification of COVID-19 Patients

Producción CientíficaPneumonia is the leading cause of hospital admission and mortality in coronavirus disease 2019 (COVID-19). We aimed to identify the cytokines responsible for lung damage and mortality. We prospectively recruited 108 COVID-19 patients between March and April 2020 and divided them into four groups according to the severity of respiratory symptoms. Twenty-eight healthy volunteers were used for normalization of the results. Multiple cytokines showed statistically significant differences between mild and critical patients. High HGF levels were associated with the critical group (OR = 3.51; p < 0.001; 95%CI = 1.95–6.33). Moreover, high IL-1α (OR = 1.36; p = 0.01; 95%CI = 1.07–1.73) and low IL-27 (OR = 0.58; p < 0.005; 95%CI = 0.39–0.85) greatly increased the risk of ending up in the severe group. This model was especially sensitive in order to predict critical status (AUC = 0.794; specificity = 69.74%; sensitivity = 81.25%). Furthermore, high levels of HGF and IL-1α showed significant results in the survival analysis (p = 0.033 and p = 0.011, respectively). HGF, IL-1α, and IL 27 at hospital admission were strongly associated with severe/critical COVID-19 patients and therefore are excellent predictors of bad prognosis. HGF and IL-1α were also mortality biomarkers.Instituto de Salud Carlos III (grant COV20/00491

Gene Expression Patterns Distinguish Mortality Risk in Patients with Postsurgical Shock

Producción CientíficaNowadays, mortality rates in intensive care units are the highest of all hospital units. However, there is not a reliable prognostic system to predict the likelihood of death in patients with postsurgical shock. Thus, the aim of the present work is to obtain a gene expression signature to distinguish the low and high risk of death in postsurgical shock patients. In this sense, mRNA levels were evaluated by microarray on a discovery cohort to select the most differentially expressed genes between surviving and non-surviving groups 30 days after the operation. Selected genes were evaluated by quantitative real-time polymerase chain reaction (qPCR) in a validation cohort to validate the reliability of data. A receiver-operating characteristic analysis with the area under the curve was performed to quantify the sensitivity and specificity for gene expression levels, which were compared with predictions by established risk scales, such as acute physiology and chronic health evaluation (APACHE) and sequential organ failure assessment (SOFA). IL1R2, CD177, RETN, and OLFM4 genes were upregulated in the non-surviving group of the discovery cohort, and their predictive power was confirmed in the validation cohort. This work offers new biomarkers based on transcriptional patterns to classify the postsurgical shock patients according to low and high risk of death. The results present more accuracy than other mortality risk scores.Instituto de Salud Carlos III (grant PI15/01451)Junta de Castilla y León (grant 1255/A/16)Universidad de Valladolid - Fondo Europeo de Desarrollo Regional (grant VA321P18

CEACAM7 polymorphisms predict genetic predisposition to mortality in post-surgical septic shock patients

We carried out a retrospective exploratory study on 173 patients who underwent major surgery and developed septic shock after surgery. Our findings suggest that CEACAM7 rs1001578, rs10409040, and rs889365 polymorphisms could influence septic shock-related death in individuals who underwent major surgery.This work has been supported by grants given by Instituto de Salud Carlos III (grant number PI15/01451 to ET), “Gerencia de Salud, Consejería de Sanidad, Junta de Castilla y Leon” [grant number GRS 463/A/10 and 773/A/13 to ET], and PFIZER [grant number CT25-ESP01-01 to SR]. MAJS and AFR are supported by “Instituto de Salud Carlos III” [grant numbers CP17CIII/00007 and CP14CIII/00010, respectively]S

Predictive modeling of poor outcome in severe COVID-19: A single-center observational study based on clinical, cytokine and laboratory profiles

Producción CientíficaPneumonia is the main cause of hospital admission in COVID-19 patients. We aimed to perform an extensive characterization of clinical, laboratory, and cytokine profiles in order to identify poor outcomes in COVID-19 patients. Methods: A prospective and consecutive study involving 108 COVID-19 patients was conducted between March and April 2020 at Hospital Clínico Universitario de Valladolid (Spain). Plasma samples from each patient were collected after emergency room admission. Forty-five serum cytokines were measured in duplicate, and clinical data were analyzed using SPPS version 25.0. Results: A multivariate predictive model showed high hepatocyte growth factor (HGF) plasma levels as the only cytokine related to intubation or death risk at hospital admission (OR = 7.38, 95%CI—(1.28–42.4), p = 0.025). There were no comorbidities included in the model except for the ABO blood group, in which the O blood group was associated with a 14-fold lower risk of a poor outcome. Other clinical variables were also included in the predictive model. The predictive model was internally validated by the receiver operating characteristic (ROC) curve with an area under the curve (AUC) of 0.94, a sensitivity of 91.7% and a specificity of 95%. The use of a bootstrapping method confirmed these results. Conclusions: A simple, robust, and quick predictive model, based on the ABO blood group, four common laboratory values, and one specific cytokine (HGF), could be used in order to predict poor outcomes in COVID-19 patients.Instituto de Salud Carlos III - ( Proyecto COV20/00491)Consejeria de Educación de Castilla y León - (Proyecto VA256P20)Junta de Castilla y León y Fondo Europeo de Desarrollo Regional (FEDER) - (Proyecto EDU/1100/2017