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Activity Number: 18 - Survival Analysis Developments for Improving Medical Decision Making
Type: Topic Contributed
Date/Time: Sunday, July 29, 2018 : 2:00 PM to 3:50 PM
Sponsor: ENAR
Abstract #327264
Title: Optimal Timing of Stem Cell Transplant for Leukemia Patients
Author(s): Xuelin Huang* and Ruosha Li and Jorge Cortes
Companies: University of Texas MD Anderson Cancer Center and University of Texas School of Public Health and University of Texas MD Anderson Cancer Center
Keywords: Continuous time Markov model; Survival analysis; Functional principal component analysis; Restricted survival time; Mean residual life time; Life expectancy

Patients with chronic myeloid leukemia may go through a chronic phase, accelerated phase and blast crisis. While they are in early chronic phase, there are a few targeted therapies that can bring their disease under control without causing severe toxicities. At this time, when the risk of death is low, stem cell transplant, which is potentially dangerous, may not be a good option. However, by the time of blast crisis, when the risk of death is very high, it might be too late to receive a transplant. Then a natural question is that, during this process, when is the best time for transplant? We answer this question by analyzing the patients diagnosed after the year 2001. Some of them never received a transplant, other received transplant during different disease stages, with different types of donors, including siblings, well-matched or partially-matched non-siblings, and other types. The identification of the optimal timing, accounting for patient status and the availability of donor types, is important for guiding clinical practice. Various statistical methods are used for these data analyses, including multistate Markov model, g-estimation, and also dynamic prediction models.

Authors who are presenting talks have a * after their name.

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