Key result
Perioperative risk prediction models help identify high-risk surgical patients, though current scoring systems like POSSUM and APACHE have limitations requiring selection based on patient and surgery.
This review summarizes commonly used perioperative risk prediction models and functional assessments for identifying patients at high risk of surgical complications.
Supports individualized model selection in perioperative care; leaves open need for refined risk prediction tools.
There are a vast number of operations carried out every year, with a small proportion of patients being at highest risk of mortality and morbidity. There has been considerable work to try and identify these high-risk patients. In this paper, we look in detail at the commonly used perioperative risk prediction models. Finally, we will be looking at the evolution and evidence for functional assessment and the National Surgical Quality Improvement Program (in the USA), both topical and exciting areas of perioperative prediction.
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Shah et al. (2013) conducted a review in Perioperative complications and postoperative morbidity. Perioperative risk prediction models was evaluated. Perioperative risk prediction models help identify high-risk surgical patients, though current scoring systems like POSSUM and APACHE have limitations requiring selection based on patient and surgery.
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