Algorithm-driven testing for your program, in exclusive partnership with Mount Sinai Acute GVHD International Consortium (MAGIC) and the leaders in treating GVHD
Our proprietary, licensed aGVHD Algorithm testing — utilizing the Mount Sinai Acute GVHD International Consortium (MAGIC) algorithm — was developed by Drs. James Ferrara and John Levine, and validated in conjunction with 17 hematopoietic cell transplantation (HCT) centers to help predict the risk of non-relapse mortality (NRM) and aGVHD in HCT patients. 1,2
Clinically validated cutoffs help healthcare providers definitively identify patients at risk, delivering actionable data that could improve outcomes.
Advantages of aGVHD Algorithms
- Predicts high risk NRM and severe aGVHD
- Guides decisions to begin preemptive intervention
- Minimizes the risk for relapse & infectious complications; potentially avoids the need for high levels of immunosuppression
- Provides a faster, cost effective & less invasive testing option than biopsy
- Delivers results in less than 24 hours from specimen receipt
Test Name |
Clinical Situation for Use |
Test Results / Reporting |
|
| aGVHD Pre-Symptomatic Algorithm |
Patient is not yet showing symptoms for aGVHD post transplant |
Report includes:
Interpretation of results, based on clinically validated cutoffs, is provided for each application. Interpretation consists of risk for severe acute GVHD and non-relapse mortality. |
|
| aGVHD Symptomatic Onset Algorithm |
Patient begins displaying symptoms for aGVHD post transplant |
||
| aGVHD Post-Treatment Algorithm |
Patient has been given treatment for aGVHD post transplant |
||
Understanding the MAGIC Algorithm Testing
Diving Deeper into aGVHD
Predict Risk
PRE-SYMPTOMATIC
Using the pre-symptomatic algorithm with a blood sample taken approximately 7 days after transplant, physicians can identify a patient at high risk for severe aGVHD and NRM, when the patient is not actively displaying symptoms, and can potentially adjust therapy to mitigate identified risks.
“…the use of the MAGIC algorithm could facilitate preemptive intervention for GVHD prior to the onset of clinical disease in a substantial number of patients.” 1
Confirm aGVHD
SYMPTOMATIC ONSET
With the symptomatic onset algorithm, results predict the pathology of some of the most severe forms of aGVHD — for example, presentation in the gastrointestinal tract — before disease progression becomes serious.
“We now appreciate that both ST2 and REG3α are closely associated with GI GVHD and we speculate further that the levels of these biomarkers’ concentrations both on day 7 and at the onset of overall symptoms reflect GI pathology that is not yet clinically apparent.” 1
Evaluate Steroid Resistant Patients
POST-TREATMENT
The post-treatment algorithm allows healthcare providers to identify high-risk patients for treatment resistance with increased odds of NRM.
"The algorithm analysis identified an unexpectedly large proportion (48%-72%) of the early treatment–resistant patients as low probability and who experienced strikingly less NRM than the high probability group in all 3 cohorts." 2
Explore More
GVHD Video Series
Validation of an interpretive algorithm based on serum ST2 and REG3α levels accurately predicts risks for allo-HCT patients when testing is performed at 7 days post-transplant, at the onset of aGVHD symptoms, and ≥ one week after the initiation of systemic therapy.
-Steve Kleiboeker, PhD, Vice President Research & Development, Eurofins Viracor
White Paper
Diagnostic methods to predict outcomes for acute graft vs host disease in allogeneic hematopoietic cell transplant recipients
Application of clinically validated cutoffs has allowed stratification of patients into risk categories at approximately 7 days post-transplant, at the onset of clinical signs, and following 1 week of treatment. Knowledge of a patient’s individual risk will allow adjustments to therapy with a goal of improved outcomes.
Complete Test Solutions for Acute GVHD
| Test Name - Specimen Type | Test Code | CPT Code(s) | Turnaround Time |
| aGVHD Pre-Symptomatic Algorithm - serum | 403571 | 83006, 83520 |
Same day (within 24 hours from receipt of specimen), Monday through Friday. |
| aGVHD Symptomatic Onset Algorithm - serum | 403572 | 83006, 83520 | |
| aGVHD Post-Treatment Algorithm - serum | 403573 | 83006, 83520 | |
| Elafin - serum | 30140 | 83520 |
3 business days from receipt of specimen |
| Elafin - plasma | 30141 | 83520 | |
| Hepatocyte growth factor (HGF) - serum | 30142 | 83520 | |
| Hepatocyte growth factor (HGF) - plasma | 30143 | 83520 | |
| Interleukin-8 (IL-8) - serum | 1219 | 83520 | 3-5 business days from receipt of specimen |
| Interleukin-8 (IL-8) - plasma | 1229 | 83520 | |
| Soluble IL-2 Receptor (sIL-2R) - serum | 30057 | 84238 | 7 business days from receipt of specimen |
| Soluble TNF receptor 1 (sTNF RI) - serum | 30144 | 84238 | 3 business days from receipt of specimen |
| Soluble TNF receptor 1 (sTNF RI) - plasma | 30145 | 84238 |
References
1 Hartwell MJ, Ozbek U, Holler E, et al. An early-biomarker algorithm predicts lethal graft-versus-host-disease and survival. JCI Insight. 2017;2(3):e89798.
2 Major-Monfried H, Renteria AS, Pwarode A, et al. MAGIC biomarkers predict long-term outcomes for steroid-resistant acute GVHD. Blood. 2018 Jun 21;131(25):2846-2856.
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