Risk models were developed to provide clinicians and hospitals with a tool to evaluate risk-adjusted outcomes and to guide quality improvement. The Society of Thoracic Surgeons (STS) Predicted Risk of Mortality (PROM) is the most commonly used risk algorithm, others being the EuroSCORE logistic and additive algorithm and the Ambler Risk Score. These models utilize pre-operative patient characteristics to predict operative risk and early outcomes. Although a great deal of effort has gone into models to predict short-term patient outcomes after common cardiac operations, there has been relatively little effort to develop a statistical algorithm to predict long-term outcomes. Moreover, no risk model takes into account early post-operative complications to construct an algorithm to predict long-term outcomes. The formulation of a risk stratification score based on post-operative complications following common cardiac surgical procedures may be used to estimate the likelihood of long-term survival for individual complications, as well as various permutations and combinations of complications. This may have profound implications in devising strategies to prevent the most devastating combination of complications. Also, this may assist in informing patients and families of the predicted survival after a particular complication or a combination of complications. As Dokollari et all pointed out, there is impetus towards the direction of formulating a risk stratification score, and this may indeed be the need of the hour.