British journal of anaesthesia
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Most current surgical risk models contain many variables: some of which may be esoteric, require a physician's assessment or must be obtained intraoperatively. Early preoperative risk stratification is essential to identify high risk, elective surgical patients for medical optimization and care coordination across the perioperative period. We sought to create a simple, patient-driven scoring system using: gender, age and list of medications to predict in-hospital postoperative morbidity. We hypothesized that certain medications would elevate risk, as indices of underlying conditions. ⋯ The combination of a patient's gender, age, and medication list provided reliable prediction of postoperative morbidity. Our model has the added benefit of increased objectivity, can be conducted preoperatively, and is amenable to patient-use as it requires only limited medical knowledge.