Validation and refinement of the Disease Risk Index for allogeneic stem cell transplantation

Philippe Armand1, Haesook T Kim2, Brent R Logan3

  • 1Department of Medical Oncology and.

Blood
|April 19, 2014
PubMed

Insights

Stratifying patients by disease risk is crucial for hematopoietic cell transplantation (HCT) outcomes. The refined Disease Risk Index (DRI) accurately predicts survival, improving patient stratification for HCT.

Area of Science:

  • Hematology
  • Oncology
  • Transplantation Medicine

Background:

  • Allogeneic hematopoietic cell transplantation (HCT) outcomes are heavily influenced by disease type and status.
  • Accurate patient stratification by disease risk is essential for HCT success.
  • The Disease Risk Index (DRI) was previously developed to address this need.

Purpose of the Study:

  • To analyze a large cohort of HCT patients to validate and refine the Disease Risk Index (DRI).
  • To improve the prognostic accuracy of the DRI for stratifying patients undergoing HCT.
  • To establish a reliable tool for interpreting HCT outcomes and guiding clinical trial enrollment.

Main Methods:

  • Analysis of 13,131 patients undergoing HCT between 2008 and 2010 from the Center for International Blood and Marrow Transplant Research (CIBMTR) database.
  • A multivariable regression model was used on a training subgroup (9849 patients) to refine the DRI based on overall survival (OS).
  • The refined DRI's predictive ability was validated on a separate subgroup of 3282 patients.

Main Results:

  • The original DRI stratified patients into 4 groups with 2-year OS ranging from 64% to 24%.
  • The DRI was identified as the strongest prognostic factor, outperforming age, conditioning intensity, graft source, or donor type.
  • The refined DRI demonstrated improved prediction accuracy compared to the original DRI and other existing schemes.

Conclusions:

  • The validated and refined DRI provides a robust tool for prognostication in allogeneic HCT.
  • The DRI can be utilized as a 3- or 4-group index for cohort stratification and outcome interpretation.
  • This refined index facilitates the comparison of studies, adjustment of center outcome data, and patient stratification in clinical trials.