Publications by authors named "A Giuseppi"

Objectives: To prospectively assess, using polysomnography (PSG), the evolution in obstructive sleep apnea (OSA) in infants with Robin Sequence (RS) during their first year of life and to evaluate the role of PSG in OSA treatment.

Methods: Prospective and longitudinal study conducted in 2 tertiary hospitals (2018-2021). Data from 2 PSG (PSG1 0-3 months of life, PSG2 6-10 months of life) performed in RS infants in different sleep positions/conditions (without treatment: supine [SP]; with treatment: lateral [LP], prone [PP], respiratory support) were analyzed.

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  • Infants with severe epidermolysis bullosa (EB) often face dehydration and malnutrition, but their nutritional needs are not well studied.
  • A study looked at 27 newborns with EB to assess their nutritional status and found many had low sodium levels and needed extra fluids and sodium.
  • The results suggest that these infants require higher food and nutrient intake than usual to grow properly and stay healthy, especially during their first month of life.
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  • The ACE-536-MF-001 trial studied the effects of luspatercept on myelofibrosis patients, enrolling 95 participants divided into four groups based on their dependency on transfusions and anemia status.
  • The primary outcome measured was the anemia response rate, where 14%-26% of patients met the criteria based on their cohort, with significant hemoglobin increases noted, particularly in non-transfusion dependent patients.
  • Adverse events were common, with 94% of patients experiencing at least one; the most frequent were hypertension and other manageable issues, while the treatment showed consistent efficacy and safety results similar to previous studies.
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Portal hypertension is a complex medical condition characterized by elevated blood pressure in the portal venous system. The conventional diagnosis of such disease often involves invasive procedures such as liver biopsy, endoscopy, or imaging techniques with contrast agents, which can be uncomfortable for patients and carry inherent risks. This study presents a deep neural network method in support of the non-invasive diagnosis of portal hypertension in patients with chronic liver diseases.

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