Publications by authors named "Isabella Vanorio-Vega"

Article Synopsis
  • The study evaluates the effectiveness of the Healthcare Expenditures and Conditions Mapping (HECM) algorithm in identifying various health conditions, specifically for patients with end-stage kidney disease (ESKD) in France.
  • A total of 5,971 patients were analyzed, finding that 81% were accurately identified as having ESKD in both datasets, with diabetes showing the highest accuracy.
  • The HECM performed well overall but struggled with cancer identification, suggesting further validation is needed for broader use in different patient populations.
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End-stage kidney disease (ESKD) is associated with a substantial economic burden. In France, the cost of care for such patients represents 2.5% of the total French healthcare expenditures but serves less than 1% of the population.

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Purpose: Chronic kidney disease (CKD) is common in heart failure (HF). Chronic kidney disease often worsens the prognosis and impairs the management of patients with HF. Chronic kidney disease is frequently accompanied by sarcopenia, which limits the benefits of cardiac rehabilitation (CR).

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Massive Open Online Courses (MOOCs) are unlimited web-based courses accessed through computers, smartphones, or other digital devices. Although they have multiple advantages, a common challenge is the low course completion rates. Young family doctors of the World Organization of Family Doctors (WONCA) from more than 20 countries recently completed an initiative that combined social media platforms with a MOOC offered by Harvard University.

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