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A modified EBMT risk score predicts the outcome of patients with acute myeloid leukemia receiving allogeneic stem cell transplants. | LitMetric

AI Article Synopsis

  • The study assesses the effectiveness of a modified European group for blood and marrow transplantation (mEBMT) risk score in predicting outcomes for patients with acute myeloid leukemia (AML) undergoing allogeneic stem cell transplantation (alloSCT).
  • Overall survival rates of patients at 1, 3, and 5 years were found to be 62%, 48%, and 45%, while the risk of relapse or non-relapse mortality increased over these years.
  • A higher mEBMT risk score correlated with lower overall survival and higher relapse rates, confirming its predictive value in both univariate and multivariate analyses.

Article Abstract

The systematic and standardized pretransplant risk assessment represents an important tool to predict the outcome of patients undergoing allogeneic stem cell transplantation (alloSCT). To investigate the capacity of a modified European group for blood and marrow transplantation (mEBMT) risk score to predict the outcome of patients with acute myeloid leukemia (AML) receiving allogeneic stem cell transplants, we retrospectively analyzed 214 patients transplanted at our center between 1995 and 2008. Overall survival (OS) of the whole cohort at 1, 3, and 5 yr was 62%, 48%, and 45%, whereas the cumulative incidence of relapse or non-relapse mortality (NRM) was 26%, 33%, and 33% or 19%, 21%, and 22%. In univariate analysis, a higher mEBMT risk score was associated with an inferior OS ranging from 69% for patients with a score of 0/1 to 26% for patients with a score of 5/6 at 5 yr (P < 0.0001) and steadily increasing hazard ratios for each additional score point. Likewise, a higher mEBMT risk score was associated with an increased incidence of relapse (P = 0.049). Importantly, the prognostic value of the mEBMT risk score in terms of OS and relapse was maintained in multivariate analysis. Taken together, this indicates that a mEBMT risk score may be used to predict the outcome of patients with AML following alloSCT.

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Source
http://dx.doi.org/10.1111/j.1600-0609.2011.01580.xDOI Listing

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