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| Name | Class |
|---|---|
| Innovative Medicines Initiative | OTHER |
| BELpREG | UNKNOWN |
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The goal of this observational study is to determine the concentration of medicines in human milk during maternal medicine intake. The main questions it aims to answer are:
Participants will be asked to
There is an immense information gap regarding safety of medicines during lactation which can result in a lack of breastfeeding adherence. According to literature, 50% of women need pharmacotherapy in the postpartum period. However, the proportion of nursing women in need of medication rises, due to later age pregnancies and the increased prevalence of chronic diseases. Evidence-based decisions on the use and selection of medicine during breastfeeding are challenging for many medicines, due to the lack of available information, such as cardiovascular compounds (e.g. atorvastatin, simvastatin), antidepressants (e.g. venlafaxine), anti-epileptics (e.g. topiramate, pregabalin), etc. This often results in unnecessary cessation of breastfeeding or poor adherence to/avoidance of pharmacological treatment.
The objective of this prospective trial is to collect information about the human milk transfer of maternal medicines, subsequent infant exposure, and general health outcome of the infant. Furthermore, the data of this clinical lactation study will be used to verify the performance of pharmacologically-based pharmacokinetic (PBPK) models to predict disposition of medicines in human milk and subsequent neonatal exposure during lactation. An umbrella protocol approach is used. This means that each request or compound for which milk samples might be collected / offered by women, will be reviewed and evaluated for feasibility and relevance.
The investigators expect to enroll 5, at maximum 15, mothers per year, who have been prescribed maternal medication for medical reasons and are breastfeeding their infant (/expressing milk) while taking this medication. The participating mother will be asked to collect milk samples and optionally to donate 2 blood samples during 24h: one at the time of milk pumping the first time after medication intake and one at the last pumping session of the 24h period. The parents can optionally consent for collecting a blood sample of the infant for the study (1-5% of the total blood volume, according to the FDA guidelines). In addition, clinical maternal and infant variables will be collected, as well as medication regimen, sampling details and general infant health information using 2 questionnaires.
To conclude, with this study data about the concentration of maternal medication in human milk, and the exposure in the nursing infant will be generated. This information is an essential first step towards evidence-based risk assessment on the use of drugs during lactation.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Human milk collection | Other | Every time the mother would normally feed the child, we ask to collect the total milk volume for the feed from both breasts by an electric pump. For each collection, the volume and time will be noted, the container will be inverted and 5 to 10ml of that volume will be transferred in a polypropylene test tube or other tube type depending on the type of compounds (=sample to determine drug concentration in milk) for analysis (max 10% of the collected volume of each feed). The participant decides how the remainder of the collected milk is used. The milk samples will immediately be stored in the refrigerator (4°C) after being labeled. The samples will be collected by one of the investigators within 24 hours, will be transported on ice and frozen at -80°C until analysis. | ||
| Optionally: maternal blood sample | Other | Blood collection to determine the drug concentration in plasma (6 to 10mL EDTA or other tube type, depending on the type of compound) will be performed at least within 1 hour interval with the first feeding (pumping) after medication intake, and 24 hours after medication intake (with preferable milk collection within 1 hour of blood sampling). The sample label, date and time of sampling will be noted. | ||
| Optionally: child blood sample | Other | Blood collection of the infant to determine systemic exposure of child(1-5% of the total blood volume, according to the FDA guidelines, in an EDTA or other tube type, depending on the type of compound,) will be performed at the same day as the maternal sampling, if parental consent is obtained. The sample label, date and time of sampling will be noted. |
| Measure | Description | Time Frame |
|---|---|---|
| The concentration of maternal medicines in human milk |
| 24 hours (sampling day) |
| Measure | Description | Time Frame |
|---|---|---|
| The estimated intake of medicines in the nursing infant via human milk: DID | The daily infant dosage (DID)(mg/d) = ∑(total drug concentration in each milk collection x expressed milk volume in each milk collection) | 24 hours (sampling day) |
| The estimated intake of medicines in the nursing infant via human milk: eDID - maxDID |
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Inclusion Criteria:
For breastfeeding women
For infants
Exclusion Criteria:
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Clinicians from University Hospitals Leuven and other healthcare facilities can give women who are breastfeeding or expressing milk and are actively taking maternal medicines, the contact information of the study team. Furthermore, the study background and contact information of the study team are available through the BELgPREG project (www.belpreg.be), a research initiative on the use of medicines during pregnancy. The study team will not interfere with the decision to prescribe medicines or to breastfeed. If interested, women can contact a study team member who will plan an information moment (by phone or video call) to explain the study and informed consent.
Healthy volunteers are healthy breastfeeding women, >18 years and willing to donate a milk sample and optionally a plasma sample.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Anne Smits, MD, PhD | Contact | +3216343565 | anne.smits@uzleuven.be | |
| Martje Van Neste, MD | Contact | +32 16 32 82 06 | martje.vanneste@kuleuven.be |
| Name | Affiliation | Role |
|---|---|---|
| Anne Smits, MD PhD | Universitaire Ziekenhuizen KU Leuven | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Universitaire Ziekenhuizen KU Leuven | Recruiting | Leuven | Vlaams-Brabant | 3000 | Belgium |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 29980160 | Background | Del Ciampo LA, Del Ciampo IRL. Breastfeeding and the Benefits of Lactation for Women's Health. Rev Bras Ginecol Obstet. 2018 Jun;40(6):354-359. doi: 10.1055/s-0038-1657766. Epub 2018 Jul 6. | |
| 26516340 | Background | Saha MR, Ryan K, Amir LH. Postpartum women's use of medicines and breastfeeding practices: a systematic review. Int Breastfeed J. 2015 Oct 28;10:28. doi: 10.1186/s13006-015-0053-6. eCollection 2015. |
| Label | URL |
|---|---|
| WHO Breastfeeding | View source |
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| ID | Term |
|---|---|
| D001942 | Breast Feeding |
| ID | Term |
|---|---|
| D005247 | Feeding Behavior |
| D001519 | Behavior |
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Human milk samples Optionally, plasma samples
The estimated Daily infant dosage (eDID)(mg/kg/d) and the infant risk (maxDID) expressed as a daily weight normalized dose (mg/kg/d), with 150mL/kg/d and 200mL/kg/d as maximum estimated milk intake, respectively. The calculation of the M/P ratio is based on the AUC on multiple time points, if possible. = M/P ratio x average plasma concentration x estimated milk intake |
| 24 hours (sampling day) |
| The estimated intake of medicines in the nursing infant via human milk: RID | The relative infant dose (RID)(%) = [eDID (mg/kg/d)/Maternal Dosage (mg/kg/d)] x 100 | 24 hours (sampling day) |
| The estimated intake of medicines in the nursing infant via human milk: RIDtherapeutic | The relative infant therapeutic dose (RIDtherapeutic)(%) = [estimated daily infant dosage (mg/kg/d)/Daily therapeutic infant dosage (mg/kg/d)] x 100 | 24 hours (sampling day) |
| The estimated intake of medicines in the nursing infant via human milk: Css, ave | The average infant medicine concentration at steady state (Css, ave)(ng/mL), if oral bioavailability (F) and drug clearance (CL) are known for the paediatric population = oral bioavailability (F) x [eDID (mg/kg/d)/Clearance (CL; L/d)]x1000 | 24 hours (sampling day) |
| The systemic exposure to medicines in the nursing infant via breastfeeding: infant systemic medicine concentration | The measured infant systemic medicine concentration if the parents give consent for collection of a blood sample from the infant; | 24 hours (sampling day) |
| The systemic exposure to medicines in the nursing infant via breastfeeding: infant/maternal plasma ratio | The infant/maternal plasma ratio if a blood sample from the infant is available; | 24 hours (sampling day) |
| The systemic exposure to medicines in the nursing infant via breastfeeding | Rate of medicine absorption in infants through human milk (e.g., infant plasma concentration/milk concentration) if a blood sample from the infant is available; | 24 hours (sampling day) |
| The general health status (including possible adverse effects) of the nursing infant | The general health status of the infant, reported by maternal questionnaire. | 2 weeks (in case of an acute maternal treatment/condition) or 2 months (in case of an chronic maternal treatment/condition) |
| Evaluation of physiologically-based pharmacokinetic (PBPK) models: Concentration-time profile | Evaluation of the predictive performance of PBPK models by assessing whether the observed concentration-time profiles were within the 5th-95th percentile of the population prediction of the PBPK models. | 24 hours |
| Evaluation of physiologically-based pharmacokinetic (PBPK) models: M/P ratio | Evaluation of the predictive performance of PBPK models by assessing whether the observed Milk-to-plasma ratio were within the 5th-95th percentile of the population prediction of the PBPK models. | 24 hours |
| Evaluation of physiologically-based pharmacokinetic (PBPK) models: Cmax | Evaluation of the predictive performance of PBPK models by assessing whether the observed maximum concentration (Cmax) were within the 5th-95th percentile of the population prediction of the PBPK models. | 24 hours |
| Evaluation of physiologically-based pharmacokinetic (PBPK) models: AUC | Evaluation of the predictive performance of PBPK models by assessing whether the observed Area-under-the-curve (AUC) were within the 5th-95th percentile of the population prediction of the PBPK models. | 24 hours |
| Evaluation of physiologically-based pharmacokinetic (PBPK) models: DID | Evaluation of the predictive performance of PBPK models by comparing the predicted daily infant dosage (DID) with the calculated DID [The daily infant dosage (DID)(mg/d) = ∑(total drug concentration in each milk collection x expressed milk volume in each milk collection), calculated from the concentrations found in the human milk samples]. | 24 hours |
| Evaluation of physiologically-based pharmacokinetic (PBPK) models: RID | Evaluation of the predictive performance of PBPK models by comparing the predicted relative infant dose (RID) with the calculated RID [The relative infant dose (RID)(%) = [eDID (mg/kg/d)/Maternal Dosage (mg/kg/d)] x 100]. | 24 hours |
| 29411152 | Background | Anderson PO. Drugs in Lactation. Pharm Res. 2018 Feb 6;35(3):45. doi: 10.1007/s11095-017-2287-z. |
| 27060684 | Background | Anderson PO, Sauberan JB. Modeling drug passage into human milk. Clin Pharmacol Ther. 2016 Jul;100(1):42-52. doi: 10.1002/cpt.377. Epub 2016 May 13. |
| 21940904 | Background | Koshimichi H, Ito K, Hisaka A, Honma M, Suzuki H. Analysis and prediction of drug transfer into human milk taking into consideration secretion and reuptake clearances across the mammary epithelia. Drug Metab Dispos. 2011 Dec;39(12):2370-80. doi: 10.1124/dmd.111.040972. Epub 2011 Sep 22. |
| 16756089 | Background | Kimura S, Morimoto K, Okamoto H, Ueda H, Kobayashi D, Kobayashi J, Morimoto Y. Development of a human mammary epithelial cell culture model for evaluation of drug transfer into milk. Arch Pharm Res. 2006 May;29(5):424-9. doi: 10.1007/BF02968594. |
| 1602396 | Background | McNamara PJ, Burgio D, Yoo SD. Pharmacokinetics of cimetidine during lactation: species differences in cimetidine transport into rat and rabbit milk. J Pharmacol Exp Ther. 1992 Jun;261(3):918-23. |
| 33526310 | Background | Nauwelaerts N, Deferm N, Smits A, Bernardini C, Lammens B, Gandia P, Panchaud A, Nordeng H, Bacci ML, Forni M, Ventrella D, Van Calsteren K, DeLise A, Huys I, Bouisset-Leonard M, Allegaert K, Annaert P. A comprehensive review on non-clinical methods to study transfer of medication into breast milk - A contribution from the ConcePTION project. Biomed Pharmacother. 2021 Apr;136:111038. doi: 10.1016/j.biopha.2020.111038. Epub 2021 Jan 30. |
| 30723406 | Background | Garessus EDG, Mielke H, Gundert-Remy U. Exposure of Infants to Isoniazid via Breast Milk After Maternal Drug Intake of Recommended Doses Is Clinically Insignificant Irrespective of Metaboliser Status. A Physiologically-Based Pharmacokinetic (PBPK) Modelling Approach to Estimate Drug Exposure of Infants via Breast-Feeding. Front Pharmacol. 2019 Jan 22;10:5. doi: 10.3389/fphar.2019.00005. eCollection 2019. |
| 32034606 | Background | Anderson PO, Momper JD. Clinical lactation studies and the role of pharmacokinetic modeling and simulation in predicting drug exposures in breastfed infants. J Pharmacokinet Pharmacodyn. 2020 Aug;47(4):295-304. doi: 10.1007/s10928-020-09676-2. Epub 2020 Feb 7. |
| 25353188 | Background | Maharaj AR, Edginton AN. Physiologically based pharmacokinetic modeling and simulation in pediatric drug development. CPT Pharmacometrics Syst Pharmacol. 2014 Oct 22;3(11):e150. doi: 10.1038/psp.2014.45. |
| 30943334 | Background | Byrne JJ, Spong CY. "Is It Safe?" - The Many Unanswered Questions about Medications and Breast-Feeding. N Engl J Med. 2019 Apr 4;380(14):1296-1297. doi: 10.1056/NEJMp1817420. No abstract available. |
| 35784689 | Background | Nauwelaerts N, Ceulemans M, Deferm N, Eerdekens A, Lammens B, Armoudjian Y, Van Calsteren K, Allegaert K, de Vries L, Annaert P, Smits A. Case Report: Bosentan and Sildenafil Exposure in Human Milk - A Contribution From the ConcePTION Project. Front Pharmacol. 2022 Jun 15;13:881084. doi: 10.3389/fphar.2022.881084. eCollection 2022. |
| 23269526 | Background | Jones HM, Mayawala K, Poulin P. Dose selection based on physiologically based pharmacokinetic (PBPK) approaches. AAPS J. 2013 Apr;15(2):377-87. doi: 10.1208/s12248-012-9446-2. Epub 2012 Dec 27. |
| 23887688 | Background | Mould DR, Upton RN. Basic concepts in population modeling, simulation, and model-based drug development-part 2: introduction to pharmacokinetic modeling methods. CPT Pharmacometrics Syst Pharmacol. 2013 Apr 17;2(4):e38. doi: 10.1038/psp.2013.14. No abstract available. |
| 42062069 | Derived | Van Neste M, Nauwelaerts N, Ceulemans M, Van Calsteren K, Eerdekens A, Annaert P, Smits A, Allegaert K. Challenges during clinical lactation studies investigating medicines exposure: experiences from the UmbrelLACT study - a contribution from the ConcePTION project. BMJ Paediatr Open. 2026 Apr 30;10(1):e004603. doi: 10.1136/bmjpo-2026-004603. |
| 38599799 | Derived | Van Neste M, Nauwelaerts N, Ceulemans M, Van Calsteren K, Eerdekens A, Annaert P, Allegaert K, Smits A. Determining the exposure of maternal medicines through breastfeeding: the UmbrelLACT study protocol-a contribution from the ConcePTION project. BMJ Paediatr Open. 2024 Apr 10;8(1):e002385. doi: 10.1136/bmjpo-2023-002385. |
| FDA General Clinical Pharmacology Considerations for Neonatal Studies for Drugs and Biological Products Guidance for Industry JULY 2022 | View source |
| FDA GUIDANCE DOCUMENT Clinical Lactation Studies: Considerations for Study Design MAY 2019 | View source |
| FDA GUIDANCE DOCUMENT Physiologically Based Pharmacokinetic Analyses - Format and Content Guidance for Industry SEPTEMBER 2018 | View source |
| EMA Reporting of physiologically based pharmacokinetic (PBPK) modelling and simulation - Scientific guideline | View source |