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Is it all about cutoffs? Can DIC scores predict bleeding in APL?

Hung Chang

    Medical Oncology (Northwood, London, England)
    |July 12, 2013
    PubMed

    Insights

    Interpreting disseminated intravascular coagulation (DIC) scores requires caution. While a DIC score of 6 may indicate bleeding risk in acute promyelocytic leukemia, further large-scale studies are needed.

    Area of Science:

    • Hematology
    • Clinical Pathology

    Background:

    • The disseminated intravascular coagulation (DIC) scoring system is used for outcome prediction.
    • Accurate application requires well-established cutoff values for variables.
    • Previous studies have presented variables like prothrombin time (PT) in inconsistent units (seconds vs. percentage).

    Purpose of the Study:

    • To evaluate the reliability of the DIC scoring system in predicting bleeding events.
    • To investigate the correlation between DIC scores and bleeding in acute promyelocytic leukemia (APL) patients.
    • To address concerns regarding the arbitrary cutoff values and inconsistent variable expressions in DIC scoring.

    Main Methods:

    • Analysis of a hospital cohort using the chi-square method to correlate DIC scores with bleeding events.
    • Reanalysis of data using a DIC score cutoff of 6.
    • Comparison of bleeding risk between high-score and low-score patient groups.

    Main Results:

    • No significant relationship was found between overall DIC scores and bleeding or fatal bleeding events in the initial analysis.
    • A marginally significant difference in bleeding risk was observed between high-score (DIC ≥6) and low-score patients (P = 0.046).
    • The difference in bleeding risk was not significant for life-threatening bleeding events.

    Conclusions:

    • The DIC scoring system, particularly the cutoff values and variable expressions, warrants careful interpretation and validation.
    • A DIC score of 6 may be associated with increased bleeding risk in APL patients, but this requires further investigation.
    • Large-scale studies and expert critical review are essential to validate the DIC scoring system's predictive accuracy and clinical utility.

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