This study introduces a novel joint modeling framework integrating quantile regression for longitudinal continuous proportions data with Cox regression for time-to-event analysis, employing integrated nested Laplace approximation for Bayesian inference. Our approach facilitates an examination across the entire distribution of patient health metrics over time, including the occurrence of key health events and their impact on patient outcomes, particularly in the context of medication adherence and persistence. Integrated nested Laplace approximation's fast computational speed significantly enhances the efficiency of this process, making the model particularly suitable for applications requiring rapid data analysis and updates.
View Article and Find Full Text PDFCavoportal hemitransposition (CPHT) is a rarely performed treatment technique in liver transplantation in cases of extensive splanchnic thrombosis, in which the inferior vena cava of the recipient is used to perfuse the portal vein of the allograft. A case of a 65-year-old liver transplantation patient with an acutely thrombosed cavoportal anastomosis is presented. After unsuccessful medical treatment, recanalization was obtained with transfemoral catheter directed thrombolysis, angioplasty and stent placement.
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