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Evaluation of the ACS-NSQIP Risk Calculator for Emergent Surgery in a Spanish Population
Nowadays, quality of life and individualised medicine are becoming more important in the everyday medical practice and surgery it is not an exception. In recent years, the interest in the improvement of the quality of surgical procedures and outcomes has increased. This quality can be improved by assessing the surgical or operative risk by evaluating the postoperative mortality and morbidity. Most of the risk stratification tools are used in elective surgery. Only few have been specifically validated for immediate or urgent. However, there are different situations. In elective interventions, the patient and the surgeon can discuss the advantages and drawbacks and postpone the decision. Moreover, an improvement in the physical status of the patient can be performed whereas in immediate or urgent surgery there is no time to neither of them. POSSUM is used as the main tool for the prediction of mortality and morbidity and for assessing the quality care of the General Surgery Unit of Corporació Sanitària Parc Taulí. Nevertheless, this system has its limitations. It overestimates mortality in low risk patients and it does not take into account the specific surgical procedure. That is why, it is believed that the ACS-NSQIP risk calculator -created in 2013- is a potential good tool to stratify surgical risks. In contrast with POSSUM, it considers any surgical procedure -according to the Current Procedural Terminology. The calculator has been externally validated in population of North-America which requires emergent surgery with a somewhat underestimation of the risk. As populations have different profiles and there are different levels of care, it is needed the external validation in other countries. In essence, there is a need of validation of risk calculators in different populations and emergency surgery (immediate and urgent) is distinct from the elective operation, therefore they should be considered separately when risk is calculated. Therefore, there is a nee
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