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Volume of Distribution01:20

Volume of Distribution

The apparent volume of distribution (Vd) is a crucial pharmacokinetic parameter representing the hypothetical body fluid volume into which a drug disperses. It is calculated based on the total amount of drug in the body (estimated from the administered dose and bioavailability) divided by the plasma drug concentration. The total amount of drug in the body does not directly refer to the dose given but is derived by accounting for absorption, distribution, metabolism, and excretion processes.
Drug Distribution: Volume of Distribution01:25

Drug Distribution: Volume of Distribution

The volume of distribution refers to the theoretical volume necessary to contain the entire amount of an administered drug at the same concentration observed in the blood plasma. The body's intracellular fluid compartment, which makes up two-thirds of the total body water, is contrasted with the extracellular fluid compartment—comprising plasma and interstitial fluid—that accounts for one-third. The volume of distribution can vary depending on the characteristics of the drug.
Respiratory Volumes01:15

Respiratory Volumes

Respiratory volumes are crucial metrics, meticulously measured to quantify the air exchanged in and out of the lungs during various phases of the breathing cycle. These precise measurements are vital for assessing lung function, diagnosing respiratory conditions, and monitoring overall respiratory health. Each parameter provides specific insights into the mechanics of breathing and the functional capacity of the lungs.
Tidal Volume (TV) Tidal volume (TV) is the air inhaled or exhaled in a...
Drug Accumulation During Multiple Dosing: Repetitive IV Injections01:21

Drug Accumulation During Multiple Dosing: Repetitive IV Injections

Calculating drug dosage and accumulation in multiple-dose regimens is crucial for achieving therapeutic efficacy while avoiding toxicity. This involves determining the plasma drug concentrations over time to optimize dosing schedules. The principle of superposition is fundamental in this process, allowing for the prediction of drug concentration in plasma following multiple doses based on single-dose data.The principle of superposition asserts that the plasma concentration-time curves from...
Pharmacodynamic Models: Direct Effect Model and Indirect Response Model01:29

Pharmacodynamic Models: Direct Effect Model and Indirect Response Model

Pharmacodynamic models are essential tools in understanding the relationship between drug concentrations and their effects on biological systems. By characterizing the dynamics of drug action, these models guide dose selection, optimize therapeutic efficacy, and inform the development of new drugs. Two major classes of pharmacodynamic models include direct effect and indirect response models.Direct Effect ModelsDirect effect models describe the immediate relationship between drug concentration...
Determination of Multiple Dosing Parameters: Loading and Maintenance Doses01:25

Determination of Multiple Dosing Parameters: Loading and Maintenance Doses

A loading dose is an essential pharmacological strategy to rapidly achieve the target plasma drug concentration necessary for an immediate therapeutic effect. This approach is especially critical for drugs characterized by slow absorption or extended half-lives, where delaying therapeutic plasma levels could compromise treatment outcomes. By administering a loading dose, clinicians ensure a prompt onset of drug action, even for agents with complex pharmacokinetic profiles.Achieving steady-state...

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Related Experiment Video

Updated: May 26, 2026

Continuous Venous-Arterial Doppler Ultrasound During a Preload Challenge
09:32

Continuous Venous-Arterial Doppler Ultrasound During a Preload Challenge

Published on: January 20, 2023

Dynamic indices do not predict volume responsiveness in routine clinical practice.

B Lansdorp1, J Lemson, M J A M van Putten

  • 1MIRA--Institute for Biomedical Technology and Technical Medicine, University of Twente, PO Box 217, 7500 AE Enschede, The Netherlands. b.lansdorp@utwente.nl

British Journal of Anaesthesia
|December 22, 2011
PubMed
Summary
This summary is machine-generated.

Dynamic indices like pulse pressure variation (PPV) predict fluid responsiveness but require strict conditions. Routine use with low tidal volumes or arrhythmias significantly reduces their accuracy.

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Adult and Pediatric Porcine Model of Acute Volume Overload
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Adult and Pediatric Porcine Model of Acute Volume Overload

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Last Updated: May 26, 2026

Continuous Venous-Arterial Doppler Ultrasound During a Preload Challenge
09:32

Continuous Venous-Arterial Doppler Ultrasound During a Preload Challenge

Published on: January 20, 2023

Adult and Pediatric Porcine Model of Acute Volume Overload
06:09

Adult and Pediatric Porcine Model of Acute Volume Overload

Published on: January 12, 2024

Area of Science:

  • Critical Care Medicine
  • Cardiovascular Physiology
  • Mechanical Ventilation

Background:

  • Dynamic indices (PPV, SPV, SVV) predict fluid responsiveness under controlled ventilation without arrhythmias.
  • Clinical practice often deviates from these strict conditions.
  • The impact of common variations on predictive accuracy is unclear.

Purpose of the Study:

  • To evaluate the effect of ventilator settings, calculation methods, and arrhythmias on dynamic indices' predictive value for fluid responsiveness.
  • To determine optimal conditions for using dynamic indices in sedated, mechanically ventilated patients.

Main Methods:

  • Prospective evaluation of 47 fluid challenges in 29 cardiac surgery patients.
  • Patients grouped by tidal volume (TV).
  • Dynamic indices calculated using various methods (30s, breath-by-breath, TV correction, arrhythmia exclusion).

Main Results:

  • Optimal prediction achieved with TV >7 ml/kg, breath-by-breath calculation, TV correction, and arrhythmia exclusion (AUC 0.90-0.95).
  • Lower TVs decreased predictive value.
  • Calculation over 30s and exclusion of arrhythmias reduced AUC significantly (0.51-0.63).

Conclusions:

  • Dynamic indices (PPV, SPV, SVV) are reliable predictors only under strict conditions.
  • Low tidal volume, cardiac arrhythmias, and specific calculation methods substantially reduce predictive value in routine practice.