Literature DB >> 12921514

Prediction of milk/plasma concentration ratio of drugs.

Line Alleslev Larsen1, Shinya Ito, Gideon Koren.   

Abstract

OBJECTIVE: The milk to plasma (m/p) concentration ratio of drugs is used to estimate the amount of drug offered to the suckling infant. Published literature was reviewed to identify drugs for which sufficient data exist for calculation of m/p ratio and to examine whether the existing empiric data agree with the published method of Atkinson for mathematical prediction of m/p ratios based on physiochemical characteristics.
METHODS: Using a comprehensive reference text, we identified studies reporting sufficient data to calculate m/p ratio based on the AUC for milk and plasma. Subsequently, we calculated the m/p ratio with Atkinson's formula based on pKa, lipophilicity, and protein binding. We then correlated the empiric versus predicted (calculated) m/p ratios.
RESULTS: Of 192 drugs of which at least some data on milk accumulation have been published, there were sufficient data to quantify m/p ratios for only 69 medications (78 studies). There was no significant correlation between the empiric m/p ratios and the predicted values using the Atkinson's model.
CONCLUSIONS: Reliable data on m/p concentration ratios exist for few medications. Presently, there is no appropriate model to predict milk concentrations of drugs in humans.

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Year:  2003        PMID: 12921514     DOI: 10.1345/aph.1C379

Source DB:  PubMed          Journal:  Ann Pharmacother        ISSN: 1060-0280            Impact factor:   3.154


  9 in total

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Review 7.  Cannabis use in pregnancy and breastfeeding: The pharmacist's role.

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8.  Maternal blood, plasma, and breast milk lead: lactational transfer and contribution to infant exposure.

Authors:  Adrienne S Ettinger; Ananya Roy; Chitra J Amarasiriwardena; Donald Smith; Nicola Lupoli; Adriana Mercado-García; Hector Lamadrid-Figueroa; Martha Maria Tellez-Rojo; Howard Hu; Mauricio Hernández-Avila
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9.  Prediction of drug concentrations in milk during breastfeeding, integrating predictive algorithms within a physiologically-based pharmacokinetic model.

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Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2021-07-02
  9 in total

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