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Related Concept Videos

Pharmacokinetic–Pharmacodynamic Relationship: Problems01:24

Pharmacokinetic–Pharmacodynamic Relationship: Problems

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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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Pharmacokinetic–Pharmacodynamic Relationship: Exposure, Response and Effect01:26

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The pharmacokinetic-pharmacodynamic (PK-PD) relationship describes the intricate link between drug exposure, efficacy, and toxicity, forming the foundation for optimal dosing regimens. This relationship uses mathematical modeling to characterize drug concentration-effect dynamics, ensuring precise therapeutic outcomes.Exposure represents the pharmacokinetic aspect of the PK-PD relationship, denoting the drug amount that elicits a biological response. It is typically quantified by administered...
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PK–PD modeling has significantly influenced FDA regulatory decisions, particularly drug approval, dosage optimization, and labeling. These models integrate pharmacokinetics (PK) and pharmacodynamics (PD) to predict drug behavior and effects, aiding in optimizing dosing regimens and enhancing the probability of clinical trial success.One notable example is Nesiritide (Natrecor®), a recombinant human brain natriuretic peptide for treating acute decompensated congestive heart failure...
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Pharmacokinetic-pharmacodynamic (PK–PD) modeling is essential in drug development and clinical pharmacology. It provides a quantitative framework to predict drug behavior and response over time. This approach integrates pharmacokinetics (PK), which describes the drug's absorption, distribution, metabolism, and excretion, with pharmacodynamics (PD), which characterizes the drug’s biological effects and mechanisms of action.The disposition kinetics of a drug determine its plasma...
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Dosage Regimens: Partial Pharmacokinetic Parameters01:01

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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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Pharmacokinetic Models: Comparison and Selection Criterion01:26

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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.
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Relationship between Student Pharmacist Decision Making Preferences and Experiential Learning.

Charlene R Williams1, Jacqueline E McLaughlin2, Wendy C Cox2

  • 1University of North Carolina Eshelman School of Pharmacy, Asheville Campus, Asheville, North Carolina.

American Journal of Pharmaceutical Education
|October 21, 2016
PubMed
Summary

Student pharmacists' thinking styles did not change after advanced pharmacy practice experiences (APPEs). APPE performance was generally unrelated to thinking preferences, though an experiential thinking style negatively predicted hospital APPE grades.

Keywords:
advanced pharmacy practice experiencedecision-makingexperientialrationalstudent pharmacists

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Area of Science:

  • Pharmacy Education
  • Cognitive Psychology

Background:

  • Student pharmacists possess distinct thinking style preferences, categorized as rational or experiential.
  • Understanding the relationship between these preferences and clinical performance is crucial for optimizing pharmacy education.

Purpose of the Study:

  • To investigate the association between student pharmacists' rational-experiential thinking preferences and their performance in advanced pharmacy practice experiences (APPEs).
  • To determine if thinking style preferences evolve after completing APPEs.

Main Methods:

  • The Rational Experiential Inventory (REI) was administered to student pharmacists pre- and post-APPEs.
  • Student performance was evaluated using APPE grades, which were correlated with initial REI scores.

Main Results:

  • Rational Experiential Inventory scores demonstrated stability, showing no significant change before and after APPEs.
  • Overall APPE grades were found to be independent of student thinking style preferences (REI scores).
  • A significant negative correlation was observed between the REI experiential score and hospital APPE grades in a regression analysis.

Conclusions:

  • Decision-making style preferences do not appear to influence overall APPE performance and do not change following immersion in APPEs.
  • Pedagogical strategies should focus on enhancing critical thinking and reflection rather than tailoring to specific decision-making styles.