Key result
Neural network model predicts propofol induction dose with ~32% less error than a regression equation.
Why the study?
Propofol causes dose-dependent hypotension and required doses decrease with age, but the optimal induction dose in older individuals is not well established.
Does a neural network model improve the prediction accuracy of propofol induction dose compared to a standard regression equation in patients undergoing elective non-cardiac surgery?
Observational (n=405)
No
Does a neural network model improve the prediction accuracy of propofol induction dose compared to a standard regression equation in patients undergoing elective non-cardiac surgery?
A neural network model provides more accurate predictions for propofol induction dosing than a traditional regression equation, quantifying a 0.1 mg/kg dose reduction per decade of age.
Answers are grounded in this paper and cite their sources.
Neural networks may refine propofol dosing predictions in elective non-cardiac surgery; hypothesis-generating and requires prospective validation.
Propofol is commonly used for anesthetic induction, but its dose-dependent hypotensive effect remains a concern. Although the required dose for loss of consciousness decreases with age, the optimal induction dose in older individuals is not well established. This retrospective study aimed to construct a neural network model to predict the propofol induction dose and to quantify the relationship between age and the propofol induction dose through model-based simulations. We analyzed data from 405 patients who underwent elective non-cardiac surgery. A multilayer perceptron model (“model N”) was developed to predict the required induction dose based on clinical parameters. Its predictive performance was compared with that of “model P”, a previously published regression equation derived from multivariable analysis, using the RMSE and MAE. Model N showed significantly better accuracy than model P (RMSE: 17.6 vs. 25.8; MAE: 13.0 vs. 16.7; p < 0.001). Simulation utilizing model N revealed that the induction dose of propofol per body weight decreased by approximately 0.1 mg/kg for every 10-year increase in age. These findings suggest that our proposed model may help determine more accurate and safer dosing strategies for elderly patients undergoing general anesthesia.
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Nishimura et al. (2025) conducted an observational in Elective non-cardiac surgery (n=405). Neural network model (model N) vs. Regression equation (model P) was evaluated on Predictive performance (RMSE) of the required induction dose (p=<0.001). A neural network model predicted propofol induction dose with significantly better accuracy than a regression equation (RMSE: 17.6 vs. 25.8; p < 0.001), showing dose decreases by 0.1 mg/kg per decade.
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