Ontology highlight
ABSTRACT:
SUBMITTER: Pladys A
PROVIDER: S-EPMC7244576 | biostudies-literature | 2020 May
REPOSITORIES: biostudies-literature
Pladys Adélaïde A Vigneau Cécile C Raffray Maxime M Sautenet Bénédicte B Gentile Stéphanie S Couchoud Cécile C Bayat Sahar S
Scientific reports 20200522 1
Comorbidity scores to predict mortality are very useful to facilitate decision-making for personalized patient management. This study aim was to assess the contribution of medico-administrative data in addition to French Renal Epidemiology and Information Network (REIN) data to the development of a risk score to predict the 1-year all-cause mortality in patients with End Stage Renal Disease (ESRD), and to compare it with previous scores. Data from a derivation sample (n = 6336 patients who start ...[more]