Abstract 18674: Predicting Long Term Outcome in Patients Treated With Continuous Flow Left Ventricular Assist Device - The Penn - Columbia Risk Score

Mechanical assist devices have emerged as an established therapeutic option for patients with end-stage heart failure. Predicting which patients are unlikely to benefit from continuous flow left ventricular assist device (cf-LVAD) treatment is crucial for the identification of appropriate patients while excluding those considered futile. Previously developed scoring systems are limited to prior eras of device and medical support or restricted to specific devices. Methods: We performed a retrospective analysis of all patients implanted with a cf-LVAD (Heartmate II or HVAD) at our institution between 2005 and 2014. From all plausible pre-operative covariates, we performed univariate Cox regression analysis for covariates affecting the odds of 1yr post implantation survival (p Results: A total of 204 patients (male 78%; mean age 57+15, mean follow up 465+486 days). After stepwise selection for variables that increased predictive power, a final optimized model was identified (Figure). One yr survival was significantly lower in patients with higher risk score (HR 2.48, p= Conclusion: We present a novel risk score and its validation for prediction of long-term survival in patients on cf-LVAD support. This score may prove useful for patient selection and identification of patients requiring adjuvant therapies