Titre :

A simple score to predict early death after kidney transplantation

Auteur(s) :

Bamoulid, Jamal [Auteur]
Interactions hôte-greffon-tumeur, ingénierie cellulaire et génique - UFC (UMR INSERM 1098) [RIGHT]
Service de Néphrologie [CHRU Besançon]
Frimat, Marie [Auteur]
Lille Inflammation Research International Center - U 995 [LIRIC]
Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement - U 1167 [RID-AGE]
Courivaud, Cecile [Auteur]
Interactions hôte-greffon-tumeur, ingénierie cellulaire et génique - UFC (UMR INSERM 1098) [RIGHT]
Service de Néphrologie [CHRU Besançon]
Crepin, Thomas [Auteur]
Interactions hôte-greffon-tumeur, ingénierie cellulaire et génique - UFC (UMR INSERM 1098) [RIGHT]
Service de Néphrologie [CHRU Besançon]
Gaiffe, Emilie [Auteur]
Interactions hôte-greffon-tumeur, ingénierie cellulaire et génique - UFC (UMR INSERM 1098) [RIGHT]
Hazzan, Marc [Auteur]
Service de Néphrologie et Transplantation rénale [CHRU-lille]
Lille Inflammation Research International Center - U 995 [LIRIC]
Ducloux, Didier [Auteur]
Interactions hôte-greffon-tumeur, ingénierie cellulaire et génique - UFC (UMR INSERM 1098) [RIGHT]
Service de Néphrologie [CHRU Besançon]

Titre de la revue :

European Journal of Clinical Investigation

Pagination :

e13312

Éditeur :

Wiley

Date de publication :

2020-06-13

ISSN :

0014-2972

Mot(s)-clé(s) :

kidney transplantation
score
survival

Discipline(s) HAL :

Sciences du Vivant [q-bio]

Résumé en anglais : [en]

BACKGROUND: Few studies have focused on risk stratification for premature death after transplantation. However, stratification of individual risk is an essential step in personalized care.METHODS: We have developed a risk ...
Lire la suite >BACKGROUND: Few studies have focused on risk stratification for premature death after transplantation. However, stratification of individual risk is an essential step in personalized care.METHODS: We have developed a risk score of early post-transplant death (ORLY score) in a prospective multicentre cohort including 942 patients and validated our model in a retrospective independent replication cohort including 874 patients.RESULTS: 60 patients (6.4%) from the prospective cohort died during the first three-year post-transplant. Age, male gender, diabetes, dialysis duration and chronic respiratory failure were associated with early post-transplant death. The multivariable model exhibited good discrimination ability (C-index = 0.78, 95%CI [0.75-0.81]). ORLY score highly predicted early death after transplantation (1.34; 95%CI, 1.22 to 1.48 for each increase of 1 point in score; P < .001). The predictive value of the score in the validation cohort was close to that observed in the experimental cohort (1.41; 95%CI, 1.27 to 1.56 for each increase of 1 point in score; P < .001). Merging the two cohorts, four categories of risk could be individualized: low, 0-5 (n = 522, mean risk, 1%); intermediate, 6-7 (n = 739, mean risk 4.7%); moderate, 8-10 (n = 429, mean risk 10%); and high risk 11-15 (n = 132, mean risk 19%).CONCLUSIONS: The ORLY score discriminates patients with high risk of early death.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement (RID-AGE) - U1167

Source :

Harvested from HAL