Related Experiment Videos
Surgical mortality score: risk management tool for auditing surgical performance
Vassilis G Hadjianastassiou1, Paris P Tekkis, Jan D Poloniecki
1Department of Vascular Surgery, University Hospital Lewisham, London SE13 6LH, UK. vassilis@doctors.org.uk
World Journal of Surgery
|January 7, 2004
Summary
A new Surgical Mortality Score (SMS) simplifies risk adjustment for surgical audits. This accessible tool uses existing hospital data to predict patient mortality, improving surgical outcome monitoring.
Area of Science:
- Medical Informatics
- Health Services Research
- Surgical Outcomes
Background:
- Current surgical audit risk adjustment methods are complex and expensive.
- There is a need for simpler, cost-effective tools for monitoring surgical outcomes.
- Hospital Patient Administration System (PAS) databases contain valuable data for risk stratification.
Purpose of the Study:
- To develop a simple risk stratification score for mortality.
- To create a robust audit tool using existing hospital PAS data.
- To assess the accuracy and applicability of the developed score in surgical audit.
Main Methods:
- Observational study of 11,089 surgical patients over two years.
- Logistic regression analysis to identify predictors of in-hospital mortality.
- Derivation of the Surgical Mortality Score (SMS) using odds ratios and validation.
Main Results:
- The SMS model demonstrated good calibration and high discriminant ability in both development and validation sets.
- The model accurately predicted in-hospital mortality across five surgical specialties.
- Subgroup analyses confirmed its utility for both elective and emergency procedures.
Conclusions:
- The Surgical Mortality Score (SMS) is an accurate and simple risk stratification tool.
- It can be derived from existing hospital database resources, reducing costs.
- The SMS effectively aids in surgical audit and risk management by detecting outcome aberrations.