Year: 2018
Type: review
Abstract: PURPOSE OF REVIEW: The 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 FINDINGS: Simple, 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. SUMMARY: Risk 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.
Source: Current anesthesiology reports
Institutions: John Hunter Hospital, University of Newcastle Australia
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,890
OpenAlex ID: W4211017920