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Prediction model for cardiac allograft vasculopathy: Comparison of three multivariable methods

18

Citations

40

References

2017

Year

Abstract

We have developed a clinical prediction model for assessing a recipient's risk of CAV using variables available at the time of HT. Application of this model may allow clinicians to determine which recipients will benefit from interventions to reduce the risk of development and progression of CAV.

References

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