SNFGE SNFGE
 
Thématique :
- Foie (hors cancers)
Originalité :
Très original
Solidité :
Intermédiaire
Doit faire évoluer notre pratique :
Immédiatement
 
 
Nom du veilleur :
Docteur Bertrand HANSLIK
Coup de coeur :
 
 
Gut
  2018/10  
 
  2018 Oct;67(10):1864-1869.  
  doi: 10.1136/gutjnl-2016-313681.  
 
  A novel prognostic model for transplant-free survival in primary sclerosing cholangitis.  
 
  de Vries EM, Wang J, Williamson KD, Leeflang MM, Boonstra K, Weersma RK, Beuers U, Chapman RW, Geskus RB, Ponsioen CY  
  https://www.ncbi.nlm.nih.gov/pubmed/28739581  
 
 

Abstract
 

OBJECTIVE:

Most prognostic models for primary sclerosing cholangitis (PSC) are based on patients referred to tertiary care and may not be applicable for the majority of patients with PSC. The aim of this study was to construct and externally validate a novel, broadly applicable prognostic model for transplant-free survival in PSC, based on a large, predominantly population-based cohort using readily available variables.

DESIGN:

The derivation cohort consisted of 692 patients with PSC from the Netherlands, the validation cohort of 264 patients with PSC from the UK. Retrospectively, clinical and biochemical variables were collected. We derived the prognostic index from a multivariable Cox regression model in which predictors were selected and parameters were estimated using the least absolute shrinkage and selection operator. The composite end point of PSC-related death and liver transplantation was used. To quantify the models' predictive value, we calculated the C-statistic as discrimination index and established its calibration accuracy by comparing predicted curves with Kaplan-Meier estimates.

RESULTS:

The final model included the variables: PSC subtype, age at PSC diagnosis, albumin, platelets, aspartate aminotransferase, alkaline phosphatase and bilirubin. The C-statistic was 0.68 (95% CI 0.51 to 0.85). Calibration was satisfactory. The model was robust in the sense that the C-statistic did not change when prediction was based on biochemical variables collected at follow-up.

CONCLUSION:

The Amsterdam-Oxford model for PSC showed adequate performance in estimating PSC-related death and/or liver transplant in a predominantly population-based setting. The transplant-free survival probability can be recalculated when updated biochemical values are available.

 
Question posée
 
Construction (rétrospective) d’un indice pronostique de survie sans transplantation chez les patients avec CSP en population générale.
 
Question posée
 
7 paramètres au diagnostic, simples. Cohorte de dérivation (690 patients) et de validation. Calcul online : http://www. amc.nl/ psc
 
Commentaires

Certainement plus représentatif de la réalité que les indices disponibles jusqu’à présent, issus de cohortes de centres tertiaires. La performance de l’indice reste bonne si on actualise les paramètres au cours du suivi.

 
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