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CareDx Announces New Clinical Data on AlloMap Score Variability and Service to Support Assessment of Long-Term Transplant Recipient Risk
The concept of AMV was developed over the course of five years and began as an observation of low score variability among stable patients who did not experience rejection episodes1. Following that observation, investigators hypothesized that AMV might also predict future clinical events2.
The use of AMV to predict future clinical events has now been evaluated in two published studies. The current study was performed by investigators from the Cardiac Allograft Rejection Gene Expression Observational II Study (CARGO II) and describes the performance characteristics of AMV3.
"While the potential clinical utility of AlloMap score variability to predict clinical events has been noted in previous publications, this is the first study to generate negative and positive predictive values in a patient population," said Dr.
The primary endpoint in this retrospective, case-control study was an event of significant graft dysfunction, death from any cause, or re-transplantation. Patients selected from the CARGO II cohort were assigned to either the event (n=36) or control (n=55) group. Results demonstrated that lower AMV was associated with a lower risk of future events, while higher AMV was associated with a higher risk of future events.
"The core of our mission is to transform long-term patient care in transplantation," commented
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1 Deng, et al. Low Variability of Intraindividual Longitudinal Leukocyte Gene Expression Profiling Cardiac Allograft Rejection Scores. Transplantation. 2010; 90(4): 459-461.
2 Deng, et al. Utility of Gene Expression Profiling Score Variability to Predict Clinical Events in Heart Transplant Recipients. Transplantation. 2014; 97(6): 708-714.
3 Crespo-Leiro, et al. Performance of gene-expression profiling test score variability to predict future clinical events in heart transplant recipients. BMC Cardiovasc Disord 2015; 15: 120.
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