4.7 Article

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

期刊

BLOOD
卷 123, 期 23, 页码 3664-3671

出版社

AMER SOC HEMATOLOGY
DOI: 10.1182/blood-2014-01-552984

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资金

  1. American Society of Clinical Oncology Career Development Award
  2. National Institute of Allergy and Infectious Diseases (NIAID) [U19 AI 29530]
  3. National Heart, Lung and Blood Institute (NHLBI) [PO1 HL 070149]
  4. Public Health Service from the National Cancer Institute (NCI) [U24-CA76518]
  5. NHLBI
  6. NIAID
  7. NHLBI [5U01HL069294]
  8. NCI
  9. Health Resources and Services Administration/Department of Health and Human Services [HHSH234200637015C]
  10. Office of Naval Research [N00014-06-1-0704, N00014-08-1-0058]
  11. Allos, Inc.
  12. Amgen, Inc.
  13. Angioblast

向作者/读者索取更多资源

Because the outcome of allogeneic hematopoietic cell transplantation (HCT) is predominantly influenced by disease type and status, it is essential to be able to stratify patients undergoing HCT by disease risk. The Disease Risk Index (DRI) was developed for this purpose. In this study, we analyzed 13 131 patients reported to the Center for International Blood and Marrow Transplant Research who underwent HCT between 2008 and 2010. TheDRI stratified patients into 4 groups with 2-year overall survival (OS) ranging from 64% to 24% and was the strongest prognostic factor, regardless of age, conditioning intensity, graft source, or donor type. A randomly selected training subgroup of 9849 patients was used to refine the DRI, using a multivariable regression model for OS. This refined DRI had improved prediction ability for the remaining 3282 patients compared with the original DRI or other existing schemes. This validated and refined DRI can be used as a 4- or 3-group index, depending on the size of the cohort under study, for prognostication; to facilitate the interpretation of single-center, multicenter, or registry studies; to adjust center outcome data; and to stratify patients entering clinical trials that enroll patients across disease categories.

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