Related Experiment Video
Updated: Jun 19, 2026

Bone Marrow Transplantation Platform to Investigate the Role of Dendritic Cells in Graft-versus-Host Disease
Published on: March 17, 2020
A modified comorbidity index for hematopoietic cell transplantation
T E DeFor1, N S Majhail, D J Weisdorf
1Biostatistics and Informatics Core, Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455, USA. defor001@umn.edu
Insights
The modified comorbidity index (MCI) improves risk prediction in allogeneic hematopoietic cell transplant (HCT) recipients. This new index offers better discrimination for non-relapse mortality (NRM) compared to the HCT-specific comorbidity index (HCT-CI).
Area of Science:
- Hematology
- Transplant Medicine
- Biostatistics
Background:
- The HCT-specific comorbidity index (HCT-CI) is used to assess transplant-related risk in allogeneic hematopoietic cell transplant (HCT) recipients.
- Previous validation analysis indicated that the HCT-CI may not effectively segregate patient risk.
- There is a need for improved tools to predict mortality and stratify risk in HCT patients.
Purpose of the Study:
- To develop and evaluate a modified comorbidity index (MCI) with enhanced predictive and discriminating power for mortality in allogeneic HCT recipients.
- To improve upon the existing HCT-specific comorbidity index (HCT-CI) by utilizing hazard ratios (HR) instead of categorical weights for comorbidities.
- To assess the MCI's ability to predict non-relapse mortality (NRM) and overall survival.
Main Methods:
- A cohort of 444 adult allogeneic HCT recipients was used to develop the MCI.
- A pure multiplicative model was employed, replacing categorical comorbidity weights with HRs from a Fine and Gray adjusted regression model.
- The predictive performance of the MCI was compared against the HCT-CI for non-relapse mortality (NRM).
Main Results:
- The modified comorbidity index (MCI) demonstrated improved discrimination for non-relapse mortality (NRM) compared to the HCT-specific comorbidity index (HCT-CI).
- For intermediate-risk patients, the HR for NRM was 1.3 with HCT-CI versus 1.6 with MCI.
- For high-risk patients, the HR for NRM was 1.6 with HCT-CI versus 2.7 with MCI.
Conclusions:
- The modified comorbidity index (MCI) shows potential for higher discriminating and predictive power for overall survival and non-relapse mortality (NRM) in allogeneic HCT recipients.
- The MCI offers a more nuanced risk assessment by using hazard ratios for individual comorbidities.
- Further validation of the MCI in larger and independent HCT recipient cohorts is warranted.
Abstract:
A recent validation analysis at our center among allogeneic hematopoietic cell transplant (HCT) recipients did not find the HCT-specific comorbidity index (HCT-CI) to clearly segregate patient's transplant-related risk. We hypothesized that the discriminating and predictive power of the HCT-CI for mortality could be improved by eliminating the assignment of categorical weights to comorbidities and instead replacing them with hazard ratios (HR) from a Fine and Gray adjusted regression model. This approach allowed us to look carefully at each component of the comorbidity index. We developed the modified comorbidity index (MCI) using a cohort of 444 adult allogeneic HCT recipients using a pure multiplicative model. Compared with low-risk patients, the HR for non-relapse mortality (NRM) using the HCT-CI was 1.3 (95% confidence intervals, 0.7-2.4) for intermediate risk and 1.6 (0.9-2.8) for high-risk patients, and with the MCI was 1.6 (0.9-2.8) and 2.7 (1.5-5.0), respectively. In conclusion, we are introducing the MCI which may have higher discriminating and predictive power for overall survival and NRM. Validation of the HCT-CI and the MCI in larger and separate cohorts of HCT recipients is still needed.
Related Concept Videos
Bone Marrow Sampling and Transplants
The transplant begins with high doses of chemotherapy and radiation treatment, which aim to destroy the...
Immunodeficiency Diseases
There are three main causes of immunodeficiency disorders...

