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Skin response using NIH consensus criteria vs Hopkins scale in a phase II study for steroid-refractory chronic GVHD
D A Jacobsohn1, A Rademaker, M Kaup
1Robert H Lurie Comprehensive Cancer Center of Northwestern University, Baltimore, MD, USA. djacobsohn@childrensmemorial.org
Standardizing chronic graft-versus-host disease (GVHD) research is crucial. This study compared the NIH and Hopkins scales for cutaneous GVHD, finding the Hopkins scale better predicted early response, especially for sclerosis.
Area of Science:
- Hematology
- Immunology
- Dermatology
Background:
- Standardized response criteria are lacking for chronic graft-versus-host disease (GVHD) research.
- The National Institutes of Health (NIH) proposed criteria that require validation.
- Chronic GVHD treatment research faces challenges due to measurement inconsistencies.
Purpose of the Study:
- To compare the NIH and Hopkins scales for evaluating cutaneous responses in chronic GVHD.
- To assess the predictive value of each scale for treatment response.
- To identify challenges in quantifying GVHD manifestations, particularly sclerosis.
Main Methods:
- Prospective collection of percent body-surface-area (BSA) involvement for rash, superficial sclerosis, and deep sclerosis during a pentostatin trial.
- Comparison of cutaneous response assessments using the NIH and Hopkins scales.
- Analysis of agreement rates between the two scales for overall and domain-specific responses.
Main Results:
- Both scales showed similar overall response rates (80% agreement).
- Domain-specific response rates differed, with lower agreement for fasciitis/non-moveable sclerosis (64%).
- The Hopkins scale, incorporating skin softening, was more predictive of early response than the NIH scale's BSA focus, especially for sclerosis.
Conclusions:
- Disparities in sclerosis measurement highlight quantification difficulties.
- The Hopkins scale's focus on skin softening may be valuable for early detection of treatment activity in chronic GVHD.
- Further validation of the NIH scale is necessary to ensure clinical utility and predictive power.
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