Association of hematopoietic cell transplantation-specific comorbidity index with resource utilization after

L Decook1, Y-H Chang2, J Slack1

  • 1Department of Hematology/Oncology, Mayo Clinic Arizona, Phoenix, AZ, USA.

Insights

The hematopoietic cell transplantation (HCT)-specific comorbidity index (HCT-CI) is linked to increased resource utilization, including longer hospital stays and fewer days alive out of hospital, after allogeneic HCT. This finding helps identify patients at risk for high healthcare use.

Area of Science:

  • Hematology
  • Transplantation Medicine
  • Health Services Research

Background:

  • Comorbidities significantly impact patient outcomes and healthcare costs.
  • The hematopoietic cell transplantation (HCT)-specific comorbidity index (HCT-CI) is established for predicting mortality risk post-HCT.
  • The relationship between HCT-CI and resource utilization (RU) after HCT remains unclear.

Purpose of the Study:

  • To investigate the association between the HCT-CI and resource utilization (RU) in patients undergoing allogeneic HCT.
  • To analyze RU metrics including readmissions, length of hospital stay (LOS), and days out of hospital alive (DOHA) within the first 100 days and at 1 year post-HCT.

Main Methods:

  • Retrospective analysis of 328 allogeneic HCT patients from January 2010 to June 2014.
  • Categorization of patients into four HCT-CI score groups: 0-1, 2, 3, and ⩾4.
  • Multivariable analysis to assess the association of HCT-CI with RU metrics.

Main Results:

  • Readmissions were higher in the first 100 days for patients with HCT-CI >0-1 (P=0.03), but not significantly different at 1 year (P=0.13).
  • Multivariable analysis revealed that patients with HCT-CI >0-1 experienced increased LOS and fewer DOHA at both 100 days and 1 year.
  • Significant differences in age, disease risk, conditioning, and antithymocyte globulin use were observed across HCT-CI groups.

Conclusions:

  • The HCT-CI score of >0-1 is associated with increased resource utilization after allogeneic HCT.
  • Identifying HCT-CI as a predictor of RU can aid in recognizing high-risk patients.
  • Understanding RU predictors is crucial for managing healthcare costs and resource allocation in HCT.

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