Search

La enfermedad hepática crónica y sus complicaciones, la cirrosis y el carcinoma hepatocelular, presentan una elevada mortalidad. Los tratamientos curativos, como la hepatectomía parcial o el trasplante hepático, tienen una aplicación limitada en pacientes con cirrosis, por su escasa capacidad de regeneración hepática. Son necesarias otras alternativas diagnósticas y terapéuticas para prevenir la progresión de la enfermedad y mejorar la supervivencia. Diversos estudios preclínicos demuestran el importante papel de la proteína quinasa B(Akt) en la disfunción hepática, aunque aún se desconoce el estado de Akt y sus dianas en las patologías hepáticas crónicas. El principal objetivo es determinar el estado de activación de la vía Akt y su relación con la función hepática en pacientes cirróticos.

Chronic liver disease and related complications, cirrhosis and hepatocellular carcinoma, are associated with high mortality. Curative treatments, partial hepatectomy or liver transplantation, have limited applicability in patients with cirrhosis due to the poor liver regenerative capacity. Thus, we need to find new diagnostic and therapeutic alternatives, to block the disease progression and to improve the survival of patients. In this context, preclinical studies have demonstrated the key role of the protein kinase B (Akt) in liver dysfunction, but the status of Akt and its targets in patients with chronic hepatopathy remains unknown. Aims: To determine the activation status of the Akt pathway and their association with liver functionality in cirrhotic patients.

El estradiol en suero (E2) se emplea para el diagnóstico y/o seguimiento de una amplia variedad de patologías. El objeto del presente estudio es evaluar el ensayo enhanced estradiol (eE2) de Siemens en el sistema Atellica IM 1600 (Siemens Healthineers) y llevar a cabo una comparación de muestras con el analizador Advia Centaur XP (Siemens Healthineers).

Serum estradiol (E2) levels may be used in the diagnostic and/or monitoring of a broad variety of clinical conditions. The aims of this study were to evaluate the Siemens enhanced estradiol assay (eE2) on Atellica IM 1600 (Siemens Healthineers) and to perform a sample comparison with the Siemens ADVIA Centaur XP (Siemens Healthineers).

Background: Mother's own milk does not provide enough nutrients to feed a preterm baby born before 32 weeks' gestation; therefore, human milk fortifiers are needed. However, human milk fortifiers increase the osmolality, and enteral administration of high osmolality fluids has been associated with gastrointestinal symptoms. For this reason, it is necessary for laboratories to have a validated system in order to measure human milk osmolality. Research aim: The aim of this study was to validate the OM-6050 Station System for measuring the osmolality of fortified mother's milk samples. Methods: Osmolality was measured using the osmometer OM-6050 Station System. Milk samples from healthy mothers (N = 3) unfortified and with two fortifiers (Almirón Fortifier® or NAN FM85®), as well as a nutritional supplement (Duocal MCT®) were used in the validation study through precision and linearity analysis. Results: In the precision study the mean intra-assay coefficient of variation was 1.2% and 1.7% for mother's milk and fortified mother's milk, respectively. The mean inter-assay coefficient of variation was ≤ 1% in both cases. In the linearity study the regression analysis had a linear response to fortified mother's milk osmolality between 294 mOsm/kg and 539 mOsm/kg. Conclusion: The osmometer OM-6050 Station was reliable for determining the osmolality of fortified and unfortified mother's milk. It may be useful in the clinical practices within Neonatal Intensive Care Units. [ABSTRACT FROM AUTHOR]

Background: COVID-19 causes high mortality and long hospitalization periods. The aim of this study was to search for new early prognostic strategies accessible to most health care centers. Methods: Laboratory results, demographic and clinical data from 500 patients with positive SARS-CoV-2 infection were included in our study. The data set was split into training and test set prior to generating different multivariate models considering the occurrence of death as the response variable. A final computational method called the BGM score was obtained by combining the previous models and is available as an interactive web application. Results: The logistic regression model comprising age, creatinine (CREA), D-dimer (DD), C-reactive protein (CRP), platelet count (PLT), and troponin I (TNI) showed a sensitivity of 47.3%, a specificity of 98.7%, a kappa of 0.56, and a balanced accuracy of 0.73. The CART classification tree yielded TNI, age, DD, and CRP as the most potent early predictors of mortality (sensitivity = 68.4%, specificity = 92.5%, kappa = 0.61, and balanced accuracy = 0.80). The artificial neural network including age, CREA, DD, CRP, PLT, and TNI yielded a sensitivity of 66.7%, a specificity of 92.3%, a kappa of 0.54, and a balanced accuracy of 0.79. Finally, the BGM score surpassed the prediction accuracy performance of the independent multivariate models, yielding a sensitivity of 73.7%, a specificity of 96.5%, a kappa of 0.74, and a balanced accuracy of 0.85. Conclusions: The BGM score may support clinicians in managing COVID-19 patients and providing focused interventions to those with an increased risk of mortality. [ABSTRACT FROM AUTHOR]