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MAGIC Composite Score Predicts Outcomes of Second-Line Therapy for Acute GVHD

Sebastian, T.; Weber, D.; Etra, A. M.; Vasova, I.; Ayuk, F.; Choe, H. K.; DeFilipp, Z.; Quagliarella, F.; Bedirian, K.; Diniz, M. A.; Aguayo-Hiraldo, P.; Bader, P.; Baez, J.; Chanswangphuwana, C.; Eng, G.; Francke, T.; Hexner, E. O.; Katsivelos, N.; Kitko, C. L.; Kraus, S.; Louloudis, I. E.; Morales, G.; Nakamura, R.; Olson, T. S.; Qayed, M.; Reddy, P.; Reshef, R.; Schechter, T.; Wang, T.; Wolf, M.; Young, R.; Zeiser, R.; Hogan, W. J.; Levine, J. E.; Ferrara, J. L. M.

2026-07-13 oncology
10.64898/2026.07.09.26357664 medRxiv
Show abstract

Approximately 30% of patients with acute graft-versus-host disease (GVHD) develop steroid-refractory disease and have very poor outcomes. Ruxolitinib has become the standard of care for steroid-refractory acute GVHD, but it is unclear which patients derive benefit. The MAGIC Composite Score (MCS), an algorithm that combines clinical symptoms and biomarkers, has been validated to predict outcomes at the start of primary GVHD treatment. Here, we evaluated its performance at the initiation of second-line treatment in 278 patients. MCS stratified patients into three risk groups (MCS1-3), with the majority (88%) classified as intermediate or high risk. Increasing MCS score was associated with progressively higher 1-year non-relapse mortality (NRM) rates (16%, 41%, and 73%; p<0.001), lower 1-year survival (77%, 56%, and 24%; p<0.001), and lower complete response (CR) rates at day 28 (47%, 38%, and 20%, respectively; p<0.01). The area under the receiver operating characteristic curve (AUROC) for 1-year NRM was significantly higher with MCS compared to clinical symptoms alone (0.70 vs. 0.63; p=0.023). Among patients treated with ruxolitinib, higher MCS similarly predicted higher NRM and lower survival and CR rates. Patients classified as MCS2/3 had poor outcomes despite ruxolitinib, underscoring the need for novel therapies in this patient population. In conclusion the MCS is an accurate predictor of outcomes for patients who require second-line treatment and may be of use as an eligibility criterion for future clinical trials in this high-risk population.

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