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Therapeutic Drug Monitoring: Affecting Factors01:29

Therapeutic Drug Monitoring: Affecting Factors

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Therapeutic Drug Monitoring (TDM) is the clinical practice of measuring specific drug levels in a patient's blood or body tissues to manage and optimize therapy. TDM is crucial for drugs with narrow therapeutic windows, like warfarin and phenytoin, where incorrect doses can lead to treatment failure or severe side effects. This monitoring ensures the dosage administered is within a safe and effective range. The factors affecting therapeutic drug monitoring include:Patient-Specific Factors:a.
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Factors Affecting Drug Biotransformation: Biological01:19

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Biological factors significantly impact drug metabolism, influencing drug clearance, efficacy, and potential toxicity.
Species differences: Variations in enzyme systems across species can cause disparities in drug metabolism. For instance, humans may metabolize certain drugs faster than rodents, altering therapeutic effects.
Strain differences: Genetic variations within a species can result in differing enzyme activity, impacting drug response and toxicity. For example, some mouse strains may...
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Factors Affecting Drug Response: Overview01:21

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When it comes to infants and young children, they are typically administered smaller doses of medication in comparison to adults. This is primarily because their organ functions still need to fully develop, meaning their bodies are not as efficient at metabolizing or eliminating drugs. Additionally, their blood-brain barrier is more permeable than in adults. As a result, high concentrations of drugs can easily penetrate the central nervous system (CNS), potentially leading to neurological...
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Factors Affecting Drug Distribution: Miscellaneous Factors01:19

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Drug distribution in the human body is a complex process influenced by various individual factors, including age, pregnancy, obesity, diet, body water composition, pH levels, and specific disease conditions.
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Biopharmaceutical Factors Influencing Drug Product Design: Overview01:22

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Rational drug product design integrates knowledge of the drug’s physicochemical properties, formulation components, manufacturing techniques, and intended route of administration. Each factor influences the drug’s performance, including how it is released, absorbed, and eliminated in the body.The physicochemical properties of a drug—such as solubility, stability, and particle size—affect its compatibility with excipients and the choice of dosage form. Excipients, though...
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Factors Affecting Renal Clearance: Drug Distribution and Drug Interactions01:09

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Renal clearance plays a pivotal role in drug elimination from the body and can be influenced by drug distribution and interactions. Understanding these factors is crucial in pharmacology as they impact the effectiveness and duration of drug therapy.
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Related Experiment Video

Updated: Nov 26, 2025

Treatment Model for Young Patients with Psychogenic Erectile Dysfunction and Resultant Infertility
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Treatment Model for Young Patients with Psychogenic Erectile Dysfunction and Resultant Infertility

Published on: May 30, 2025

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Factors influencing treatment efficiency.

Min-Ho Jung

    The Angle Orthodontist
    |December 8, 2020
    PubMed
    Summary

    Self-ligating brackets (SB) did not significantly reduce orthodontic treatment time compared to conventional brackets (CB). Factors like patient cooperation, extractions, and malocclusion severity significantly impacted treatment duration.

    Area of Science:

    • Orthodontics
    • Dental Materials Science

    Background:

    • Orthodontic treatment aims to correct malocclusions efficiently.
    • Self-ligating brackets (SB) are proposed to potentially reduce treatment time compared to conventional brackets (CB).

    Purpose of the Study:

    • To evaluate the effect of self-ligating brackets (SB) on orthodontic treatment duration.
    • To identify other factors influencing orthodontic treatment time.

    Main Methods:

    • Prospective, two-armed study with 134 patients choosing between SB and CB or randomly allocated.
    • Standardized archwire sequence and single orthodontist treatment.
    • Statistical analysis including ANCOVA and stepwise regression to predict treatment duration.

    Main Results:

    Keywords:
    ExtractionPatient's cooperationSelf-ligating bracketsTreatment duration

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    • No significant difference in treatment duration between SB and CB groups.
    • Stepwise regression identified five variables explaining 64.6% of treatment duration variance.

    Conclusions:

    • Self-ligating brackets (SB) do not significantly reduce orthodontic treatment time compared to conventional brackets (CB).
    • Patient cooperation, presence of extractions, and malocclusion severity are significant predictors of treatment duration.