[Assessment by logistic model of hemodynamic changes during general anesthesia]

Area of Science:

• Anesthesiology and Pharmacology
• Mathematical Modeling in Medicine

Context:

• Anesthesia induction commonly reduces blood pressure.
• Cardiovascular agents during anesthesia cause significant hemodynamic alterations.
• Hemodynamic responses (blood pressure, heart rate) often follow sigmoidal patterns.

Purpose:

• To introduce a logistic function model for analyzing hemodynamic changes during anesthesia.
• To demonstrate the utility of logistic function parameters in quantifying drug effects, age, and sex differences.
• To review the application of logistic analysis for systolic (sBP) and diastolic blood pressure (dBP), and heart rate (HR) during anesthesia.

Summary:

• Hemodynamic changes during anesthesia can be accurately modeled using a logistic function.
• The four parameters of the logistic function (asymptotes, slope, time to inflection) quantify physiological responses.
• This analysis was applied to sBP and dBP during preintubation and to HR, sBP, and dBP during landiolol hydrochloride infusion for tachycardia management.

Impact:

• Logistic parameters provide valuable insights into hemodynamic responses during general anesthesia.
• This modeling approach enhances the assessment and management of anesthesia.
• The logistic model contributes to a more precise understanding of cardiovascular dynamics under anesthetic conditions.