Publications by authors named "E Catalina Rodriguez Guerra"

Colorectal endoscopic submucosal dissection (ESD) is often challenging and time-consuming. Prolonged sedation and general anesthesia are associated with a relevant risk of anesthesia-related adverse events (ARAEs), especially in elderly and frail patients. Spinal anesthesia (SA), a simple technique providing analgesia and motor block without systemic drug administration, has never been described in gastrointestinal endoscopy.

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Background: This study aimed to evaluate the effectiveness and safety of direct-acting antivirals (DAAs) for hepatitis C treatment by measuring sustained virologic response (SVR) and serious adverse events to help design effective interventions for reducing disease prevalence.

Methods: This was a retrospective, observational, real-life study of patients with chronic hepatitis C receiving DAA treatment in the state of Ceará, Brazil. Data were collected in REDCap and analyzed using R® software by the Student's t, chi-square, and Fisher's exact tests, with a significance level of 5%.

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Coronary artery disease (CAD) remains a leading cause of morbidity and mortality worldwide, accounting for over 9 million deaths annually. The prevalence of CAD continues to rise, driven by ageing and the increasing prevalence of risk factors such as hypertension, diabetes, and obesity. Current clinical guidelines emphasize the importance of functional tests in the diagnostic pathway, particularly for assessing the presence and severity of ischemia.

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Background: BRCA1/2 genes play a critical role in genome stability and DNA repair. In animal models, loss of cardiomyocyte-specific BRCA1/2 is associated with DNA damage, apoptosis, cardiac dysfunction, and mortality following anthracycline exposure. However, whether these preclinical findings translate to humans remains unclear.

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Fractures are one of the most common reasons of admission to emergency department affecting individuals of all ages and regions worldwide that can be misdiagnosed during radiologic examination. Accurate and timely diagnosis of fracture is crucial for patients, and artificial intelligence that uses algorithms to imitate human intelligence to aid or enhance human performs is a promising solution to address this issue. In the last few years, numerous commercially available algorithms have been developed to enhance radiology practice and a large number of studies apply artificial intelligence to fracture detection.

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