Perioperative medicine & outcomes
Development and multicentre validation of the FLEX score: personalised preoperative surgical risk prediction using attention-based ICD-10 and Current Procedural Terminology set embeddings
Authors' conclusion
FLEX utilises information from a wider range of medical diagnostic and procedural codes than previously possible and can adapt to different coding practices to accurately predict adverse postoperative outcomes.
Study context
- Population
- Adult noncardiac surgical patients at four hospitals within the Mass General Brigham (MGB) system, US
- Participants
- 243,479 patients · 4 hospitals
- Outcome
- Prediction of 30-day mortality, 30-day readmission, discharge to long-term care, and hospital LOS
Methodological detailsprediction model development and validation, machine learning
- Prediction model development and validation
- Machine learning
Main finding
As reported in the abstract
Predictive performance of the FLEX score
- FLEX score achieved state-of-the-art performance to identify comorbidities that significantly contribute to the risk of each adverse outcome
- Comorbidity contributions weighted by patient-specific context, yielding personalised risk predictions
Observational data: associations, not effects.
Original publication
Development and multicentre validation of the FLEX score: personalised preoperative surgical risk prediction using attention-based ICD-10 and Current Procedural Terminology set embeddings. Br J Anaesth. Published 6 January 2024. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →