Risk stratification model in predicting mortality among adult cardiac surgery patients and its application in Indonesia: A review

Abstract

Risk stratification models have become an important tool for predicting mortality among adult cardiac surgery patients. These models provide clinicians with valuable information to guide decision-making and improve patient outcomes. While various models have been developed and validated globally, their application in the Indonesian context has gained attention. This study aims to examine the use of risk stratification models in predicting mortality among adult cardiac surgery patients in Indonesia. Several validated models, including EuroSCORE II, have shown good calibration and discriminative ability in the Indonesian population. EuroSCORE II, in particular, stands out for its efficient use of variables and the ability to predict mortality across different types of cardiac surgeries. However, it is essential to consider other risk stratification models that offer specific strengths and applications relevant to the Indonesian setting. The implementation of these models can greatly assist clinicians in assessing surgical risks, making informed decisions, and optimizing patient care. To further enhance the application of risk stratification models in Indonesia, additional validation studies specific to the Indonesian population are warranted. Furthermore, the establishment of a comprehensive patient database containing cardiac surgery information in Indonesia would facilitate ongoing research and improve the accuracy of model validation. In conclusion, risk stratification models play a crucial role in predicting mortality among adult cardiac surgery patients. Their application in Indonesia shows promising results, particularly with EuroSCORE II. However, further research, validation, and the development of a comprehensive patient database are needed to maximize the effectiveness and applicability of these models in the Indonesian context.