Purpose of ReviewThe central question of preoperative assessment is not “What can be done?” but “What should be done and how?” Predicting a patient’s risk of unwanted outcomes is vital to answering this question. This review discusses risk prediction tools currently available and anticipates future developments.Recent FindingsSimple, parsimonious risk scales and scores are being replaced by complex risk prediction models as high-capacity information systems become ubiquitous. The accuracy of risk estimation will be further increased by improved assessment of physical fitness, frailty, and incorporation of existing and novel biomarkers. However, the limitations of risk prediction for individual patient care must be recognized.SummaryRisk prediction is transforming from clinical estimation to statistical science. Predictions should be used within the context of a patient’s baseline risk (life expectancy independent of surgery), personal circumstances, quality of life, their expectations and values, and consideration of outcomes that are meaningful for the patient.
Risk Assessment
Pragya Ajitsaria,Sabry Eissa,R. Kerridge
Published 2018 in Current Anesthesiology Reports
ABSTRACT
PUBLICATION RECORD
- Publication year
2018
- Venue
Current Anesthesiology Reports
- Publication date
2018-01-30
- Fields of study
Medicine
- Identifiers
- External record
- Source metadata
Semantic Scholar, PubMed
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REFERENCES
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