Statistical analysis
REGRESSION, EVENT
Statistical analysis was performed using Stata statistical software (Stata/MP, Version 17.0) and SPSS Statistics 26 (IBM Corp., Armonk, NY), with data presented as median and interquartile range (IQR) or mean ± SD. A 2-tailed Initially, we performed the Mann-Whitney Receiver operating curve (ROC) analyses were performed and the area under the curve (AUC) computed for individual and combinatory indexes to generate cutoffs. The specificity and sensitivity of resulting cutoffs were then used to generate the positive and negative predictive values based on Bayesian priors (% mortality) (To test whether parenclitic indexes may differentiate between survivors and nonsurvivors at 6 months after targeted albumin treatment, we performed a multivariate Cox regression including patients' treatment arm (albumin or standard care) and each of the parenclitic indexes as interacting variables. The cutoff of parenclitic indexes that showed significant interaction with treatment in predicting survival was then used to categorize each patient into “1” if ≥cutoff and “0” if otherwise. The treatment arm of patients was then used to plot ROC curves to assess the 6-month survival grouped by the cutoffs of the significant parenclitic indexes.To assess possible improvement in prognostic performance of MELD due to the addition of parenclitic indexes, Brier scores, integrated discrimination improvement (IDI), and net reclassification indexes (NRIs) were computed on Stata statistical software. The Brier score provides the mean of the squared distance between observed and predicted risks of event (mortality) for the individual patient. Generally, the lower the Brier score, the better the predictive model (