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In Vitro Drug Dissolution: Compendial Testing Models II01:09

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Various dissolution methods are utilized to assess a drug’s dissolution rate, including the flow-through cell, paddle-over-disk, cylinder, and reciprocating disk methods.The flow-through cell apparatus (USP (United States Pharmacopeia) method 4) comprises a reservoir for the dissolution medium and a pump that propels the medium through the cell containing the test sample. This method is crucial for assessing modified-release dosage forms with minimally soluble active ingredients,...
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Pharmacodynamic (PD) responses describe the interaction between a drug and its biological target, culminating in a physiological effect. These responses can be classified into different types: continuous variables, such as blood glucose levels; categorical outcomes, like survival rates; and time-to-event metrics, such as disease progression. Understanding and modeling PD responses are critical for optimizing drug efficacy and safety.PD models describe the relationship between drug concentration...
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In Vitro Drug Dissolution: Compendial Testing Models I01:13

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Compendial dissolution methods are standardized procedures defined by pharmacopeias to evaluate the rate at which a drug dissolves in a specific medium. These methods ensure batch-to-batch consistency, enable quality control, and support the prediction of drug bioavailability. They are critical for both immediate and modified-release drug products.The apparatuses used for dissolution testing differ in their design and mechanical function, but all aim to simulate the physiological environment of...
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The acceptance criteria for dissolution profile data are anchored in Q values, representing the percentage of drug dissolved within a specified period. This assessment unfolds in three stages:First Stage: The test passes if all six drug dosage units are equal to or greater than Q plus 5%; otherwise, the sample proceeds to the second stage.Second Stage: The average of twelve units must be equal to or greater than Q, with no unit falling below Q - 15% to pass; if not, it progresses to the final...
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Antimicrobial Characterization of Advanced Materials for Bioengineering Applications
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Determination of disk diffusion susceptibility testing interpretive criteria using model-based analysis: development

Glen DePalma1, John Turnidge2, Bruce A Craig3

  • 1Fitbit, 405 Howard St., San Francisco, CA 94105, USA.

Diagnostic Microbiology and Infectious Disease
|November 19, 2016
PubMed
Summary
This summary is machine-generated.

Determining antibiotic resistance breakpoints is challenging. A new free software, dBETS, simplifies analysis of diffusion test data using visualization and model-based methods for improved accuracy.

Keywords:
AntibioticsBreakpoint EstimationDisk DiffusionError-Rate BoundedMinimum Inhibitory ConcentrationSoftware PackageSusceptibility

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Area of Science:

  • Microbiology
  • Computational Biology
  • Clinical Laboratory Science

Background:

  • Increasing antimicrobial resistance necessitates accurate breakpoint determination.
  • Current modified error-rate bounded methods are widely used but have limitations.
  • Advanced model-based methods offer better precision but are computationally complex.

Purpose of the Study:

  • To introduce dBETS (diffusion Breakpoint Estimation Testing Software), a free online tool.
  • To simplify the analysis of diffusion test breakpoints for clinicians.
  • To provide accessible model-based and error-rate bounded breakpoint determination.

Main Methods:

  • Development of the dBETS software package.
  • Implementation of visualization, error-rate bounded, and model-based approaches.
  • Analysis of four public Clinical and Laboratory Standards Institute datasets using dBETS.

Main Results:

  • dBETS facilitates easy analysis of susceptibility experiment data.
  • The software integrates multiple breakpoint determination methodologies.
  • Demonstrated utility of dBETS on publicly available datasets.

Conclusions:

  • dBETS offers a user-friendly solution for determining diffusion test breakpoints.
  • The software addresses the computational barriers of advanced breakpoint determination methods.
  • dBETS can aid clinicians in more accurately assessing antimicrobial resistance.