Objectives: Several prognostic indices (PIs) have been proposed for Budd-Chiari syndrome (BCS). However, patient characteristics, causal factors, and treatment outcomes have changed since these indices have been elaborated. Validation in a recent patient population and comparison of predictive accuracy between these PIs are needed.

Methods: A database of 96 BCS patients diagnosed between 1995 and 2005 was analyzed. Cox survival models were fitted with time to liver transplantation or death, and time to invasive therapy or death, as end points. The prognostic values of known indices (Child-Pugh score, model for end-stage liver disease (MELD), Clichy, Rotterdam BCS index, New Clichy, and BCS-TIPS (transjugular intrahepatic portosystemic shunt)) at diagnosis were assessed in Cox models using the chi-square test, the Kent and O'Quigley measure of dependence, and unrestricted bootstrapping analysis. Areas under receiver operating characteristic curves (AUROCs) were built for both end points and compared.

Results: All prognostic indices, except BCS-TIPS, were significant predictors of transplant-free and invasive therapy-free survival. However, only 31 and 37% of the variance in transplant-free and invasive therapy-free survival, respectively, were explained by the best performing indices. For transplant-free survival, AUROCs were < 0.70. For invasive therapy-free survival, AUROCs were < 0.80. For both end points, BCS-TIPS PI AUROCs were significantly lower than others.

Conclusions: Most PIs are valid for transplant-free survival and invasive therapy-free survival in a population of current BCS patients, and thus can be used for stratification in clinical studies. However, predictive accuracy is insufficient to be used for individual patients.

Download full-text PDF

Source
http://dx.doi.org/10.1038/ajg.2009.63DOI Listing

Publication Analysis

Top Keywords

invasive therapy-free
16
therapy-free survival
16
prognostic indices
12
budd-chiari syndrome
8
clinical studies
8
insufficient individual
8
predictive accuracy
8
bcs patients
8
transplant-free invasive
8
transplant-free survival
8

Similar Publications

We propose a fully automatic multi-task Bayesian model, named Bayesian Sequential Network (BSN), for predicting high-grade (Gleason   8) prostate cancer (PCa) prognosis using pre-prostatectomy FDG-PET/CT images and clinical data. BSN performs one classification task and five survival tasks: predicting lymph node invasion (LNI), biochemical recurrence-free survival (BCR-FS), metastasis-free survival, definitive androgen deprivation therapy-free survival, castration-resistant PCa-free survival, and PCa-specific survival (PCSS). Experiments are conducted using a dataset of 295 patients.

View Article and Find Full Text PDF

Background: As per the latest Surviving Sepsis Campaign guidelines, fluid resuscitation should be guided by repeated measurements of blood lactate levels until normalization. Nevertheless, raised lactate levels should be interpreted in the clinical context, as there may be other causes of elevated lactate levels. Thus, it may not be the best tool for real-time assessment of the effect of hemodynamic resuscitation, and exploring alternative resuscitation targets should be an essential research priority in sepsis.

View Article and Find Full Text PDF

Background: Salvage radiotherapy (sRT) is the main potentially curative treatment after biochemical failure/locoregional relapse post-radical prostatectomy (RP). The aim of the study was to characterize the population who underwent sRT after RP at our Department, to understand the influence of several potential prognosis factors, and to determine possible optimization strategies.

Materials And Methods: We retrospectively analyzed patients undergoing sRT at our department between 2012 and 2017, evaluating patient, tumor and treatment characteristics, restaging procedures and clinical outcomes - namely biochemical relapse-free survival (BC-RFS), clinical relapse-free survival (C-RFS), additional hormone therapy-free survival (HT-FS) and overall survival (OS).

View Article and Find Full Text PDF

Modern advances in technology such as next-generation sequencing and digital PCR make detection of minor circulating cell-free tumor DNA amounts in blood from cancer patients possible. Samples can be obtained minimal-invasively, tested for treatment-determining genetic alterations and are considered to reflect the genetic constitution of the whole tumor mass. Furthermore, tumor development can be determined by a time course of the quantified circulating cell-free tumor DNA.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!