Evolution of Association Between Renal and Liver Functions While Awaiting Heart Transplant: An Application Using a Bivariate Multiphase Nonlinear Mixed Effects Model

Overview

Journal Stat Methods Med Res

Publisher Sage Publications

Specialties Public Health
Science

Date 2016 Nov 19

PMID 27856959

Authors

Jeevanantham Rajeswaran

Eugene H Blackstone

John Barnard

Affiliations

Soon will be listed here.

Abstract

In many longitudinal follow-up studies, we observe more than one longitudinal outcome. Impaired renal and liver functions are indicators of poor clinical outcomes for patients who are on mechanical circulatory support and awaiting heart transplant. Hence, monitoring organ functions while waiting for heart transplant is an integral part of patient management. Longitudinal measurements of bilirubin can be used as a marker for liver function and glomerular filtration rate for renal function. We derive an approximation to evolution of association between these two organ functions using a bivariate nonlinear mixed effects model for continuous longitudinal measurements, where the two submodels are linked by a common distribution of time-dependent latent variables and a common distribution of measurement errors.

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