Development and validation of a LASSO-logistic regression model for predicting subtherapeutic infliximab trough concentrations in patients with Crohn’s disease

Puntos clave

• The aim is to develop a predictive model for identifying subtherapeutic infliximab concentrations in Crohn's disease patients.
• Developed a LASSO-logistic regression model.
• Utilized clinical data for analysis.
• Focused on predicting infliximab trough concentrations.
• The model shows promising predictive accuracy.
• Facilitates early risk assessment.
• Enhances individualized treatment strategies.