Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Rational Dosage Regimen: Maintenance Dose and Loading Dose01:24

Rational Dosage Regimen: Maintenance Dose and Loading Dose

4.0K
A rational dosage regimen considers a drug's pharmacokinetics, including its absorption, distribution, metabolism, and elimination from the body. By understanding these factors, the appropriate dosage can be determined, and the dosing schedule can be designed to achieve and maintain the desired therapeutic effect while minimizing adverse effects.
In most cases, drugs are administered repetitively or infused continuously to maintain a steady-state concentration in the body. At a steady...
4.0K
Nonlinear Pharmacokinetics: Overview01:19

Nonlinear Pharmacokinetics: Overview

352
Nonlinear or dose-dependent pharmacokinetics is a phenomenon that occurs when the pharmacokinetic parameters of certain drugs deviate from linear pharmacokinetics at higher doses. These drugs do not follow the expected first-order kinetics, where the rate of drug elimination is directly proportional to the drug concentration. Instead, they exhibit a nonlinear relationship, which can be attributed to several factors.
Nonlinearity can arise due to the saturation of plasma protein-binding or...
352
Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

66
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
66
Time Course of Drug Effect01:14

Time Course of Drug Effect

2.0K
The progression of a drug's impact can be analyzed by examining both the concentration-time course and the effect-time course. The concentration-time course is determined by the drug's half-life and is influenced by factors such as its pharmacokinetics, including absorption, distribution, metabolism, and elimination. The effect of the drug is often related to its concentration in the plasma and is calculated using the maximum drug effect and the plasma concentration that generates 50...
2.0K
Fundamental Mathematical Principles in Pharmacokinetics: Calculus and Graphs01:21

Fundamental Mathematical Principles in Pharmacokinetics: Calculus and Graphs

1.3K
The fundamental mathematical principles, such as calculus and graphs, play crucial roles in analyzing drug movement and determining pharmacokinetic parameters. Differential calculus examines rates of change and helps to determine the dissolution rate of drugs in biofluids, as well as how drug concentrations change over time. For instance, it can help calculate the rate of elimination of a drug from the body based on its concentration-time profile.
On the other hand, integral calculus focuses on...
1.3K
Drug Concentration Versus Time Correlation01:15

Drug Concentration Versus Time Correlation

733
The plasma drug concentration-time curve is a crucial tool in pharmacokinetics, representing the drug's concentration in plasma at different time intervals post-administration. This curve illustrates the drug's journey from absorption into the systemic circulation, distribution to body tissues, and eventual elimination through excretion or biotransformation.
Two pivotal parameters are the minimum effective concentration (MEC) and the minimum toxic concentration (MTC). The MEC is the...
733

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The Drug Titration Paradox Updated and Reinterpreted: With Perfect Titration, Dose and Effect Will Be Uncorrelated.

Clinical pharmacology and therapeutics·2025
Same author

Enhancing Sepsis prognosis: Integrating social determinants and demographic variables into a comprehensive model for critically ill patients.

Journal of critical care·2024
Same author

Drug Titration Paradox: Comment.

Anesthesiology·2024
Same author

Pulse oximetry in electronic health record data: garbage in, garbage out.

British journal of anaesthesia·2024
Same author

Electronic health record data is unable to effectively characterize measurement error from pulse oximetry: a simulation study.

Journal of clinical monitoring and computing·2024
Same author

Bolus pharmacokinetics: moving beyond mass-based dosing to guide drug administration.

Journal of pharmacokinetics and pharmacodynamics·2020

Related Experiment Video

Updated: Jun 24, 2025

Diagonal Method to Measure Synergy Among Any Number of Drugs
12:08

Diagonal Method to Measure Synergy Among Any Number of Drugs

Published on: June 21, 2018

18.5K

The drug titration paradox: a control engineering perspective.

Elie Sarraf1

  • 1Penn State College of Medicine, Hershey, Pennsylvania, USA.

Current Opinion in Anaesthesiology
|June 6, 2024
PubMed
Summary

The drug titration paradox shows drug doses negatively correlating with clinical effects in populations. This review examines this anesthetic pharmacology challenge using control engineering principles.

More Related Videos

Stepwise Dosing Protocol for Increased Throughput in Label-Free Impedance-Based GPCR Assays
06:13

Stepwise Dosing Protocol for Increased Throughput in Label-Free Impedance-Based GPCR Assays

Published on: February 21, 2020

6.6K
Collecting Variable-concentration Isothermal Titration Calorimetry Datasets in Order to Determine Binding Mechanisms
10:04

Collecting Variable-concentration Isothermal Titration Calorimetry Datasets in Order to Determine Binding Mechanisms

Published on: April 7, 2011

12.8K

Related Experiment Videos

Last Updated: Jun 24, 2025

Diagonal Method to Measure Synergy Among Any Number of Drugs
12:08

Diagonal Method to Measure Synergy Among Any Number of Drugs

Published on: June 21, 2018

18.5K
Stepwise Dosing Protocol for Increased Throughput in Label-Free Impedance-Based GPCR Assays
06:13

Stepwise Dosing Protocol for Increased Throughput in Label-Free Impedance-Based GPCR Assays

Published on: February 21, 2020

6.6K
Collecting Variable-concentration Isothermal Titration Calorimetry Datasets in Order to Determine Binding Mechanisms
10:04

Collecting Variable-concentration Isothermal Titration Calorimetry Datasets in Order to Determine Binding Mechanisms

Published on: April 7, 2011

12.8K

Area of Science:

  • Anesthetic Pharmacology
  • Control Engineering
  • Clinical Data Analysis

Background:

  • The drug titration paradox, a recent discovery in anesthetic pharmacology, highlights a negative correlation between drug doses and clinical effects at the population level.
  • This phenomenon is derived from analyses of large clinical datasets, posing challenges for traditional dosing strategies.

Purpose of the Study:

  • To interpret the drug titration paradox from a control engineering perspective.
  • To understand the constraints on clinical dosing in response to unknown patient effects.

Main Methods:

  • Review of existing literature on drug titration and the drug titration paradox.
  • Application of control engineering principles to analyze dosing challenges.
  • Examination of clinical data sets and their implications.

Main Results:

  • Current medication delivery systems (infusion pumps, vaporizers) lack the speed and robustness for effective drug titration.
  • Clinicians may exhibit reluctance to deviate from established protocols or prefer managing patients within defined therapeutic boundaries.

Conclusions:

  • The drug titration paradox reflects limitations in how clinicians dose patients with variable responses.
  • Further research is needed to explore how automated dosing strategies might overcome these limitations and alter the paradox's implications.