AI Article Synopsis

  • Acute graft versus host disease (GVHD) is a significant complication for children undergoing hematopoietic cell transplantation (HCT), and new tools have been developed to assess the risk of nonrelapse mortality (NRM) at the onset of treatment.
  • The study compared the Minnesota risk system and the MAGIC algorithm using biomarkers ST2 and REG3α, finding that MAGIC's probabilities (MAPs) were more effective in predicting outcomes in pediatric patients compared to Minnesota risk alone.
  • A combined model using both Minnesota risk and biomarker scores increased prediction accuracy further, demonstrating the potential for more personalized treatment approaches for children with GVHD.

Article Abstract

Acute graft versus host disease (GVHD) is a common and serious complication of allogeneic hematopoietic cell transplantation (HCT) in children but overall clinical grade at onset only modestly predicts response to treatment and survival outcomes. Two tools to assess risk at initiation of treatment were recently developed. The Minnesota risk system stratifies children for risk of nonrelapse mortality (NRM) according to the pattern of GVHD target organ severity. The Mount Sinai Acute GVHD International Consortium (MAGIC) algorithm of 2 serum biomarkers (ST2 and REG3α) predicts NRM in adult patients but has not been validated in a pediatric population. We aimed to develop and validate a system that stratifies children at the onset of GVHD for risk of 6-month NRM. We determined the MAGIC algorithm probabilities (MAPs) and Minnesota risk for a multicenter cohort of 315 pediatric patients who developed GVHD requiring treatment with systemic corticosteroids. MAPs created 3 risk groups with distinct outcomes at the start of treatment and were more accurate than Minnesota risk stratification for prediction of NRM (area under the receiver operating curve (AUC), .79 versus .62, P = .001). A novel model that combined Minnesota risk and biomarker scores created from a training cohort was more accurate than either biomarkers or clinical systems in a validation cohort (AUC .87) and stratified patients into 2 groups with highly different 6-month NRM (5% versus 38%, P < .001). In summary, we validated the MAP as a prognostic biomarker in pediatric patients with GVHD, and a novel risk stratification that combines Minnesota risk and biomarker risk performed best. Biomarker-based risk stratification can be used in clinical trials to develop more tailored approaches for children who require treatment for GVHD.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11139591PMC
http://dx.doi.org/10.1016/j.jtct.2024.03.022DOI Listing

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