Publications by authors named "M Gabriela Aucar"
Article Synopsis
- This study conducts the first large-scale genetic analysis of inherited eye diseases in Argentina, involving a retrospective analysis of medical records from 22 ophthalmology and genetics services across 13 provinces, including 773 patients primarily with inherited retinal diseases.* -
- The most prevalent condition identified was retinitis pigmentosa (RP), comprising 62% of cases, with the most commonly affected genes being USH2A, RPGR, and ABCA4, which are linked to various types of retinal dystrophies.* -
- Notably, the research uncovered 35% of previously unreported pathogenic variants, highlighting the genetic diversity in inherited eye diseases in Argentina and establishing a foundational reference for future studies and clinical applications.*
Background: Hypertriglyceridemia (HTG) is a well-established cause of acute pancreatitis often leading to significant morbidity, mortality, and healthcare burden. This study aimed to describe the rate, reasons, and predictors of HTG-induced acute pancreatitis (HTG-AP) in the USA.
Methods: This retrospective study analyzed the Nationwide Readmissions Database (NRD) for 2018 to determine all adults (≥ 18 years) readmitted within 30 days of an index hospitalization of HTG-AP.
Background/objective: The aims of this study were to describe the rates and characteristics of nonelective 30-day readmission among adult patients hospitalized for acute gout and to assess predictors of readmission.
Methods: We analyzed the 2017 Nationwide Readmission Database. Gout hospitalizations were identified using the International Classification of Diseases, Tenth Revision, Clinical Modification code.
Context: Diabetic ketoacidosis (DKA) is a serious endocrine emergency, associated with morbidity and mortality. Readmissions play a significant but sometimes preventable role in healthcare cost burden on the US.
Objective: This study aimed to describe rates and characteristics of nonelective 30-day readmission among adult patients with diabetes mellitus type 1 (T1DM) hospitalized for DKA and also identify predictors of readmission.
Today high-throughput docking is one of the most commonly used computational tools in drug lead discovery. While there has been an impressive methodological improvement in docking accuracy, docking scoring still remains an open challenge. Most docking programs are rooted in classical molecular mechanics.
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