A pharmacometric multistate model for predicting long-term treatment outcomes of patients with pulmonary TB.

ABSTRACT:

Background

Studying long-term treatment outcomes of TB is time-consuming and impractical. Early and reliable biomarkers reflecting treatment response and capable of predicting long-term outcomes are urgently needed.

Objectives

To develop a pharmacometric multistate model to evaluate the link between potential predictors and long-term outcomes.

Methods

Data were obtained from two Phase II clinical trials (TMC207-C208 and TMC207-C209) with bedaquiline on top of a multidrug background regimen. Patients were typically followed throughout a 24 week investigational treatment period plus a 96 week follow-up period. A five-state multistate model (active TB, converted, recurrent TB, dropout, and death) was developed to describe observed transitions. Evaluated predictors includ

SUBMITTER: Lin YJ 

PROVIDER: S-EPMC11441995 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature