Publications by authors named "Monica Llorente Barrio"

Background: Eosinophilic esophagitis (EoE) predominantly affects males across all ages; however, little is known about sex differences for other aspects of EoE.

Objective: To investigate associations between sex and clinical presentation, endoscopic features, treatment choice and response in EoE patients in real-world practice.

Methods: Cross-sectional analysis of the multicenter EoE CONNECT registry.

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This study compared short-term effectiveness of proton pump inhibitors (PPI), swallowed topical corticosteroids (STC), and dietary therapies in reversing clinical and histological features in pediatric patients with eosinophilic esophagitits (EoE). Determinants for treatment choice and PPI therapy effectiveness were also assessed.  A cross-sectional study analysis of patients under 18 years old recruited onto the multicenter EoE CONNECT registry was performed.

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Article Synopsis
  • Swallowed topical corticosteroids (tC) are commonly used to treat eosinophilic esophagitis (EoE), but their effectiveness varies due to different formulations and doses.
  • A study analyzed data from the EoE CONNECT registry, focusing on clinical and histological remission rates based on various tC treatments used in real-world settings.
  • Results showed that higher doses (≥0.8 mg/day) improved remission rates, budesonide orodispersible tablets were the most effective, and factors like reduced symptom severity influenced treatment outcomes.
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  • Infliximab is considered the most effective anti-TNF treatment for ulcerative colitis (UC), but there is limited information on its use as a second anti-TNF option.
  • This study analyzed 473 UC patients to compare outcomes between those receiving their first anti-TNF treatment via intravenous (IV) versus subcutaneous (SC) routes.
  • Results showed similar clinical response and remission rates after 14 and 52 weeks, suggesting that while a second anti-TNF can be effective, prior failure of the first anti-TNF significantly impacts long-term success.
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  • Researchers developed a machine learning model using Gradient Boosting Decision Trees (GBDT) to predict mortality in COVID-19 hospitalized patients, utilizing data from the Spanish SEMI-COVID-19 registry which included over 24,000 cases.
  • The model employed advanced classifiers like CatBoost and BorutaShap to identify key indicators and risk levels for mortality, achieving a notable AUC performance of 84.76 in a test group likely containing vaccinated individuals.
  • The study highlights the model's high predictive capacity despite needing a significant number of predictors, indicating its potential utility in clinical settings for managing COVID-19 patient care.
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We present the case of a 38-year-old man with no previous medical history who went to the emergency department due to abdominal pain and diarrheal stools with blood of 24 hours of evolution. The patient reports consumption of anti-inflammatories the previous days due to back pain.

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Introduction: apart from the known effects of vitamin D on phospho-calcium homeostasis, in recent years there is great interest in its extrabone effects.

Objectives: to know the concentration of 25-hydroxyvitamin D (25[OH] D) in newly diagnosed patients of cancer and to verify if there are differences between the different types of cancer.

Material And Methods: cross-sectional study of a cohort of recent diagnosed cancer patients who were referred to Endocrinology consultation for a nutritional pre-surgery evaluation.

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