Background Aims: Cut-points for non-invasive tests (NITs) for risk stratification in metabolic dysfunction-associated steatotic liver disease (MASLD) were derived from predominantly non-Hispanic populations. It is unknown if these cut-points perform adequately in Hispanic individuals. We assessed the performance characteristics of current NIT cut-points among Hispanic patients and determined whether they could be further optimized.
View Article and Find Full Text PDFUnlabelled: With the increasing rate of infections caused by multidrug-resistant organisms (MDRO), selecting appropriate empiric antibiotics has become challenging. We aimed to develop and externally validate a model for predicting the risk of MDRO infections in patients with cirrhosis.
Methods: We included patients with cirrhosis and bacterial infections from two prospective studies: a transcontinental study was used for model development and internal validation (n = 1302), and a study from Argentina and Uruguay was used for external validation (n = 472).
Background: With the emergence of multidrug-resistant infections, healthcare professionals must evaluate the effectiveness of empiric antibiotic treatments.
Aims: To assess the antibiotic susceptibility patterns of microorganisms causing spontaneous infections in patients with cirrhosis and to evaluate the suitability of empiric antibiotic treatments based on major clinical guidelines.
Methods: This cross-sectional study utilized two datasets from prospective studies of patients with cirrhosis and culture-positive spontaneous bacterial infections in Argentina and Uruguay.
To improve current data systems for institutional decision-making, the Adult Liver Transplant Registry was established at the Hospital Italiano de Buenos Aires, Argentina. This article describes its design and implementation and reports on the outcomes for patients transplanted since its January 2020 launch. A multidisciplinary team designed the registry by identifying key variables from a literature review while considering balance between data depth and feasibility.
View Article and Find Full Text PDF