Publications by authors named "F Gaillard"

Background: Few studies on multiple sclerosis (MS) have explored the variability of percentage brain volume change (PBVC) measurements obtained from different clinical MRIs. In a retrospective multicentre cohort study, we quantified the variability of annualised PBVC in clinical MRIs.

Methods: Clinical MRIs of relapse-onset MS patients were assessed by icobrain.

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Article Synopsis
  • The study evaluates the effectiveness of machine learning (ML) techniques in predicting glomerular filtration rate (GFR) compared to the traditional EKFC equation, which measures kidney function.
  • Using data from 19,629 patients across 13 cohorts, the researchers tested various ML methods, particularly focusing on factors like age, sex, and serum creatinine levels.
  • Results indicated that the random forest (RF) method performed similarly to EKFC, with slight advantages for RF in younger patients, suggesting ML could enhance future GFR prediction methods.
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Background: Creatinine-based equations are the most used to estimate glomerular filtration rate (eGFR). The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI), the re-expressed Lund-Malmö Revised (r-LMR) and the European Kidney Function Consortium (EKFC) equations are the most validated. The EKFC and r-LMR equations have been suggested to have better performances in young adults, but this is debated.

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Living donation (LD) transplantation is the preferred treatment for kidney failure as compared to donation after brain death (DBD), but age may play a role. We compared the 1-year estimated glomerular filtration rate (eGFR) after kidney transplantation for recipients of LD and DBD stratified by recipient and donor age between 2015 and 2018 in a matched cohort. The strength of the association between donation type and 1-year eGFR differed by recipient age ( < 0.

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