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1.
Br J Clin Pharmacol ; 88(10): 4311-4327, 2022 10.
Artigo em Inglês | MEDLINE | ID: mdl-32860456

RESUMO

More than half of women take medications during breastfeeding, predisposing their infants to medication exposure via breast milk. As a result, adverse drug reactions may emerge in the infant, although they are rarely reported. Disposition of maternal drugs in breast milk is described with several key parameters, which include relative infant dose (RID): infant drug intake via milk (weight- and time-adjusted) expressed as a percentage of the similarly adjusted mother's dose. Most drugs show RID values of <10%, indicating that drug concentrations in infant serum do not reach a level known to be therapeutic in adults unless drug clearance is markedly lower than the adult level on a weight basis. RID is a function of milk-to-(maternal) plasma drug concentration ratio (MP ratio) and maternal drug clearance. Therefore, MP ratio between drugs must be interpreted not by itself but with maternal drug clearance of each drug. This is why some drugs such as phenobarbital show an MP ratio of <1 but an RID as high as 50-70%, while morphine shows an MP ratio of 2 but an RID in the range of 5%. Using RID, we interpreted case reports of infant adverse outcomes, and we observed cases with relatively low infant serum concentrations of drug, consistent with low RID, as well as those with near- or above-adult therapeutic serum concentrations, with or without increased drug intake (i.e. high RID). It is important to consider both pharmacokinetic and pharmacodynamic factors in interpreting adverse outcomes in infants breastfed by a mother taking medications.


Assuntos
Efeitos Colaterais e Reações Adversas Relacionados a Medicamentos , Leite Humano , Adulto , Aleitamento Materno/efeitos adversos , Efeitos Colaterais e Reações Adversas Relacionados a Medicamentos/epidemiologia , Feminino , Humanos , Lactente , Lactação
2.
J Pharmacokinet Pharmacodyn ; 47(4): 295-304, 2020 08.
Artigo em Inglês | MEDLINE | ID: mdl-32034606

RESUMO

The relative lack of information on medication use during breastfeeding is an ongoing problem for health professionals and mothers alike. Most nursing mothers are prescribed some form of medication, yet some mothers either discontinue breastfeeding or avoid medications entirely. Although regulatory authorities have proposed a framework for clinical lactation studies, data on drug passage into breastmilk are often lacking. Model-based approaches can potentially be used to estimate the passage of drugs into milk, predict exposures in breastfed infants, and identify drugs that need clinical lactation studies. When a human study is called for, measurement of the drug concentration in milk are often adequate to characterize safety. Data from these studies can be leveraged to further refine pharmacokinetic models with subsequent Monte Carlo simulations to estimate the spread of exposure values. Both clinical lactation studies and model-based approaches have some limitations and pitfalls which are discussed.


Assuntos
Aleitamento Materno , Efeitos Colaterais e Reações Adversas Relacionados a Medicamentos/prevenção & controle , Lactação/metabolismo , Leite Humano/química , Modelos Biológicos , Simulação por Computador , Feminino , Humanos , Lactente , Recém-Nascido , Método de Monte Carlo , Distribuição Tecidual
3.
Pharm Res ; 35(3): 45, 2018 Feb 06.
Artigo em Inglês | MEDLINE | ID: mdl-29411152

RESUMO

One impediment to breastfeeding is the lack of information on the use of many drugs during lactation, especially newer ones. The principles of drug passage into breastmilk are well established, but have often not been optimally applied prospectively. Commonly used preclinical rodent models for determining drug excretion into milk are very unreliable because of marked differences in milk composition and transporters compared to those of humans. Measurement of drug concentrations in humans remains the gold standard, but computer modeling is promising. New FDA labeling requirements present an opportunity to apply modeling to preclinical drug development in place of conventional animal testing for drug excretion into breastmilk, which should improve the use of medications in nursing mothers.


Assuntos
Aleitamento Materno , Exposição Dietética/efeitos adversos , Lactação/efeitos dos fármacos , Leite Humano/química , Farmacocinética , Animais , Simulação por Computador , Rotulagem de Medicamentos/legislação & jurisprudência , Feminino , Humanos , Lactente , Recém-Nascido , Lactação/fisiologia , Modelos Animais , Modelos Biológicos , Estados Unidos , United States Food and Drug Administration/legislação & jurisprudência
4.
Front Pediatr ; 11: 1147566, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-37077336

RESUMO

Introduction: Breastfeeding has major benefits to the maternal-infant dyad and yet healthcare providers have expressed uncertainty about advocating breastfeeding when mothers are taking medications. The tendency for some providers to be more cautious in their advising approach is likely a consequence of limited, unfamiliar, and unreliable existing information on medication use during lactation. A novel risk metric termed the Upper Area Under the Curve Ratio (UAR) was developed to overcome existing resource shortcomings. However, the perception and use of the UAR in practice by providers is not known. The aim of this study was to understand existing resource use and potential UAR use in practice, their advantages and disadvantages, and areas of improvement for the UAR. Methods: Healthcare providers mainly practicing in California with experience advising on medication use during lactation were recruited. One-on-one semi-structured interviews that included questions on current practices when advising medication use during breastfeeding, and approaches to a given a scenario with and without information about the UAR were conducted. The Framework Method was applied for data analysis to construct themes and codes. Results: Twenty-eight providers representing multiple professions and disciplines were interviewed. Six main themes emerged: (1) Current Practice Approaches, (2) Advantages of Existing Resources, (3) Disadvantages of Existing Resources, (4) Advantages of the UAR, (5) Disadvantages of the UAR, and (6) Strategies to Improve the UAR. Overall, 108 codes were identified that illustrated theme topics ranging from a general lack of metric use to the realities of advising. A workflow describing current practice approaches connected all other themes. Almost all disadvantages of existing resources could be overcome by advantages of other resources and the UAR. Several improvements to the UAR were identified to address its shortcomings. Conclusion: Through interviews with providers who use resources to advise on medication use during breastfeeding, an improved understanding of current practice approaches and accessed resources was ascertained. Ultimately, it was found that the UAR would confer multiple benefits over existing resources, and improvements of the UAR were identified. Future work should focus on implementing the suggested recommendations to ensure optimal uptake of the UAR to improve advising practices.

6.
Breastfeed Med ; 19(3): 152-154, 2024 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-38394232
7.
Breastfeed Med ; 14(5): 290-294, 2019 06.
Artigo em Inglês | MEDLINE | ID: mdl-31107104

RESUMO

A central goal of the Academy of Breastfeeding Medicine is the development of clinical protocols for managing common medical problems that may impact breastfeeding success. These protocols serve only as guidelines for the care of breastfeeding mothers and infants and do not delineate an exclusive course of treatment or serve as standards of medical care. Variations in treatment may be appropriate according to the needs of an individual patient.


Assuntos
Doenças Mamárias/diagnóstico por imagem , Aleitamento Materno , Mama/diagnóstico por imagem , Protocolos Clínicos , Lactação , Adulto , Mama/patologia , Doenças Mamárias/patologia , Feminino , Guias como Assunto , Humanos , Mães , Cuidado Pós-Natal , Sociedades Médicas
13.
17.
Breastfeed Med ; 17(5): 377-379, 2022 05.
Artigo em Inglês | MEDLINE | ID: mdl-35384717
18.
Breastfeed Med ; 17(12): 981-983, 2022 12.
Artigo em Inglês | MEDLINE | ID: mdl-36475937
19.
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