From: Clinical review: Can we predict which patients are at risk of complications following surgery?
Risk prediction system | Description | Advantages | Disadvantages |
---|---|---|---|
American Society of Anesthetists | Numerical scale (1 to 5) based on severity of co-morbidities | Simple, easily applied, well known | Subjective, not individual or procedure specific, poor sensitivity and specificity |
Charlson Comorbidity Score | Additive score based on weighting of preoperative diseases | Simple, better predictor than American Society of Anesthetists, good at estimating population risk | Subjective, does not look at procedure, mainly used as a research tool |
Revised Cardiac Risk Index | Scoring system based on presence of one of six major co-morbidities and the severity of operation | Simple, well validated and good for predicting cardiac risk | Single-organ risk, broad categories, assessment of severity of operation is subjective |
Acute Physiology and Chronic Health Evaluation | 12 to 17 variables, measured over 24 hours | Individualised predictor of risk of mortality and morbidity, better predictor of outcome than American Society of Anesthetists, well known | Multiple variables over 24 hours of critical care, can be difficult to score before emergent surgery, not designed for use perioperatively |
Simplified Acute Physiology Score | 17 variables measured over 24 hours | Well validated for predictive mortality | Multiple variables over 24 hours of critical care, can be difficult to score before emergent surgery, not designed for use perioperatively |
Physiological and Operative Severity Score for the Enumeration of Mortality and Morbidity | Scoring of 12 physiological and six operative variables, which are then entered into two mathematical equations to predict mortality and morbidity | Best validated and known/used scores for perioperative prediction various surgery-specific variations for specific areas | May overestimate or underestimate mortality and morbidity in specific populations due to use of logarithmic regression |