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Related Concept Videos

Pharmacokinetic Models: Overview01:20

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Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
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Related Experiment Video

Updated: Jun 7, 2025

Trans-Tympanic Drug Delivery for the Treatment of Ototoxicity
09:52

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Published on: March 16, 2018

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Predictive model for aminoglycoside induced ototoxicity.

Adebolajo A Adeyemo1,2, Josephine Adeolu1, Joshua O Akinyemi3

  • 1Institute of Child Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.

Frontiers in Neurology
|November 18, 2024
PubMed
Summary
This summary is machine-generated.

Aminoglycoside ototoxicity, a significant risk of hearing loss, can now be predicted in the general population. A new model identifies age, cumulative dosage, and baseline hearing as key predictors, improving clinical care.

Keywords:
aminoglycosidesmodel validationototoxicitypredictive modeltuberculosis

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Area of Science:

  • Pharmacology and Toxicology
  • Otolaryngology
  • Biostatistics

Background:

  • Aminoglycoside antibiotics are associated with irreversible hearing loss, a critical adverse effect.
  • Accurate prediction of aminoglycoside-induced ototoxicity remains a significant clinical challenge.
  • This study aimed to develop a predictive model for aminoglycoside ototoxicity applicable to the general population.

Purpose of the Study:

  • To develop and validate a predictive model for aminoglycoside ototoxicity.
  • To identify key clinical and audiological predictors of ototoxicity in patients receiving Streptomycin-based anti-tuberculosis therapy.

Main Methods:

  • A prospective cohort of 153 adults treated with Streptomycin for non-drug-resistant tuberculosis was studied.
  • High-frequency pure-tone audiometry was performed regularly to assess hearing changes.
  • Logistic regression was used to develop a prediction model incorporating variables such as age, cumulative dosage, and baseline pure tone average (PTA).

Main Results:

  • Ototoxicity was observed in 35% of the participants.
  • Age, cumulative Streptomycin dosage, and baseline PTA were identified as significant predictors of ototoxicity.
  • The developed model demonstrated good discriminatory ability with an area under the receiver operating characteristic curve of 0.84 for training and 0.79 for validation.

Conclusions:

  • A validated prediction model for aminoglycoside ototoxicity has been developed.
  • This model, utilizing age, cumulative dosage, and baseline PTA, can aid in predicting ototoxicity risk in the general population.
  • The findings can improve clinical management and patient counseling regarding aminoglycoside therapy.