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Introduction: Risk assessments for predicting post-operative complications after cardiac surgery are rarely studied compared to mortality. Objectives: We compared EuroSCORE, EuroSCORE II, and Society of Thoracic Surgeon’s (STS) Score and an Australasian model (Aus-AVR Score) for predicting morbidities after aortic valve replacement (AVR), and also evaluated seven STS complications models in this context. Methods: We retrospectively calculated all risk scores for the 620 patients undergoing isolated AVR at Auckland City Hospital during 2005-2012, and assessed their discrimination and calibration for post-operative complications. Results: Amongst the mortality scores, EuroSCORE was the best at discriminating stroke (c-statistic 0.845); EuroSCORE II at deep sternal wound infection (c1⁄40.748); and STS Score at composite morbidity or mortality (c1⁄40.666), renal failure (c1⁄40.634), ventilation >24 hours (c1⁄40.732), return to theatre (c1⁄40.577) and prolonged hospital stay >14 days post-operatively (c1⁄40.707). The individual STS complications models had slightly higher c-statistic (c1⁄40.634-0.846) for all complications except deep sternal wound infection, and had good calibration (Hosmer-Lemeshow test P-value 0.123-0.915) for all complications, including when divided in quintiles. Independent predictors for composite morbidity outcomes were age, critical pre-operative state, urgent surgery and dialysis. Conclusion: The STS Score was overall the best at discriminating post-operative complications and their composite for AVR. All STS complications model except for deep sternal wound infection had good discrimination and calibration for post-operative complications. Operation and complications specific models improve the detection of these outcomes in AVR. Disclosure of Interest: None Declared