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Dosage Regimen: Individualization01:24

Dosage Regimen: Individualization

Individualization in dosing regimens is the customization of medication doses for individual patients. Its necessity arises from the goal of maximizing therapeutic benefits while minimizing risks. This approach is pivotal because human responses to drugs can vary widely; what is effective for one person may be inadequate or excessive for another. Interpatient (intersubject) variability refers to differences in drug responses between individuals, while intrapatient (intrasubject) variability...
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Determining the optimal dose size and dosing frequency in pharmacotherapy is crucial for achieving therapeutic effectiveness while minimizing adverse effects. This article explores the methodologies employed in determining these parameters, focusing on their significance and interplay to tailor dosing regimens.Dose Size: Dose size refers to the amount of a drug administered in a single dose. It is determined based on the drug's pharmacodynamics and pharmacokinetics properties and...
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The empirical approach to drug therapy optimization relies on correlating pharmacological response with administered dosage. Such an approach can be costly, time-consuming, and often yields poor correlation due to variables like formulation factors and drug elimination characteristics. A more precise approach correlates response with plasma drug concentration or the amount of drug in the body, rather than dosage. This is achieved through pharmacokinetic-pharmacodynamic (PK/PD) modeling, which...
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It is not uncommon for complete drug pharmacokinetic profiles to remain elusive in pharmacokinetics. This necessitates certain educated assumptions by pharmacokineticists to determine appropriate dosage regimens without comprehensive pharmacokinetic data from animal or human studies. One prevalent assumption is setting the bioavailability factor, denoted as F, to 1 or 100%. This assumption caters to the scenario where a drug doesn't achieve full systemic absorption, resulting in the patient...
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Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
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Related Experiment Video

Updated: May 14, 2026

Therapy Testing in a Spheroid-based 3D Cell Culture Model for Head and Neck Squamous Cell Carcinoma
06:11

Therapy Testing in a Spheroid-based 3D Cell Culture Model for Head and Neck Squamous Cell Carcinoma

Published on: April 20, 2018

HAE update: determining optimal patient specific therapy.

Richard G Gower1

  • 1University of Washington, Marycliff Allergy Specialists, Spokane, WA 99204, USA. rgower@marycliffallergy.com

Allergy and Asthma Proceedings
|February 15, 2013
PubMed
Summary

Hereditary angioedema (HAE) management requires personalized treatment plans. Available therapies for acute attacks and prophylaxis should be tailored to individual patient needs and preferences for optimal outcomes.

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Area of Science:

  • Immunology
  • Genetics
  • Pharmacology

Background:

  • Hereditary angioedema (HAE) is a rare autosomal dominant disorder.
  • It is characterized by recurrent swelling attacks due to C1 inhibitor deficiency or dysfunction.
  • Laryngeal attacks pose a life-threatening risk.

Purpose of the Study:

  • To provide an overview of current US-approved HAE treatments.
  • To outline strategies for individualizing therapy based on patient-specific factors.
  • To emphasize a patient-centered approach to HAE management.

Main Methods:

  • Literature search for HAE and available therapeutic modalities.
  • Evaluation of HAE guidelines and randomized controlled trials.
  • Review of FDA-approved acute and prophylactic treatments.

Main Results:

  • Several FDA-approved acute treatments exist: C1 inhibitor replacement, ecallantide, and icatibant.
  • Prophylactic options include attenuated androgens and C1 inhibitor.
  • All reviewed treatments demonstrated safety and efficacy in clinical trials.

Conclusions:

  • Optimal HAE therapy necessitates individualization based on attack frequency, severity, location, and quality of life burden.
  • Treatment decisions should consider patient preferences, occupation, and access to medical care.
  • A patient-centered approach is crucial for effective HAE management.