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Induction of Graft-versus-host Disease and In Vivo T Cell Monitoring Using an MHC-matched Murine Model
Published on: August 29, 2012
Oral chronic graft-vs.-host disease characterization using the NIH scale.
1Experimental Transplantation and Immunology Branch, National Cancer Institute, NIH, 10 Center Drive, Bethesda, MD 20892, USA. helen.fassil@tufts.edu
Chronic graft-vs-host disease (cGVHD) affects oral health after stem cell transplants. A new NIH scale helps identify oral cGVHD, aiding clinical trials and patient care.
Area of Science:
- Hematology
- Immunology
- Oncology
Background:
- Chronic graft-vs-host disease (cGVHD) is a significant complication following allogeneic hematopoietic stem cell transplantation (alloHSCT).
- Oral cGVHD presents with diverse symptoms including mucosal, salivary, and sclerotic changes, often leading to pain and reduced quality of life.
Purpose of the Study:
- To characterize demographic, clinical, and laboratory markers associated with oral cGVHD in alloHSCT patients.
- To propose a reproducible and clinically meaningful measure for diagnosing oral cGVHD.
Main Methods:
- A cross-sectional study involving 187 alloHSCT patients was conducted at the NIH (ClinicalTrials.gov #NCT00331968).
- The 15-point NIH cGVHD clinician assessment scale was utilized to evaluate oral cGVHD.
- Multivariable logistic regression analysis identified predictive factors for oral cGVHD.
Main Results:
- Oral cGVHD was diagnosed in 44 patients.
- Oral cGVHD correlated with quiescent or de novo cGVHD onset, increased cGVHD severity, lower albumin levels, and higher total complement levels.
- Significant associations were found with increased mouth pain, oral ulcer bother, and food-related discomfort (p < 0.0001).
Conclusions:
- A cut-off score of >2 on the NIH scale is proposed as a reproducible definition for clinically significant oral cGVHD.
- This proposed measure can aid in clinical settings, serve as an eligibility criterion for clinical trials, or function as a trial endpoint.
- Predictive modeling using albumin, mouth pain, and total complement demonstrated high accuracy in identifying oral cGVHD.
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