Publications by authors named "M V Mendizabal"
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).
Article Synopsis
- A comprehensive study analyzed 468 cases of idiosyncratic drug-induced liver injury (DILI) in Latin America over a decade, revealing key demographic details such as a predominance of women (62%) and a mean age of 49 years.
- The analysis found that hepatocellular injury was the most common (62%), with significant occurrences of jaundice (60%) and hospitalization (42%), while 4.1% of cases resulted in fatal outcomes.
- The study highlights a rising incidence of liver injuries linked to herbal and dietary supplements, as well as specific drugs like nimesulide and nitrofurantoin, suggesting the need for public health initiatives to educate on the risks associated with these medications.
Background And Aims: Alcohol-associated hepatitis (AH) poses significant short-term mortality. Existing prognostic models lack precision for 90-day mortality. Utilizing artificial intelligence in a global cohort, we sought to derive and validate an enhanced prognostic model.
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