Ignite Creation Date:
2025-12-25 @ 1:42 AM
Ignite Modification Date:
2026-03-01 @ 2:44 AM
Study NCT ID:
NCT02755194
Status:
TERMINATED
Last Update Posted:
2020-10-22
First Post:
2016-04-21
Is NOT Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
"Drugs in Lactation" Analysis Consortium
Sponsor:
Organization:
Raw JSON
{'hasResults': False, 'derivedSection': {'miscInfoModule': {'versionHolder': '2025-12-24'}, 'conditionBrowseModule': {'meshes': [{'id': 'D001942', 'term': 'Breast Feeding'}], 'ancestors': [{'id': 'D005247', 'term': 'Feeding Behavior'}, {'id': 'D001519', 'term': 'Behavior'}]}}, 'protocolSection': {'designModule': {'bioSpec': {'retention': 'SAMPLES_WITHOUT_DNA', 'description': 'Breast milk samples are collected at different time-points before and after taking the medication.'}, 'studyType': 'OBSERVATIONAL', 'designInfo': {'timePerspective': 'CROSS_SECTIONAL', 'observationalModel': 'OTHER'}, 'enrollmentInfo': {'type': 'ACTUAL', 'count': 68}, 'patientRegistry': False}, 'statusModule': {'whyStopped': 'This infrastructure project has been taken over by another study.', 'overallStatus': 'TERMINATED', 'startDateStruct': {'date': '2014-09', 'type': 'ACTUAL'}, 'expandedAccessInfo': {'hasExpandedAccess': False}, 'statusVerifiedDate': '2020-10', 'completionDateStruct': {'date': '2019-09-25', 'type': 'ACTUAL'}, 'lastUpdateSubmitDate': '2020-10-19', 'studyFirstSubmitDate': '2016-04-21', 'studyFirstSubmitQcDate': '2016-04-26', 'lastUpdatePostDateStruct': {'date': '2020-10-22', 'type': 'ACTUAL'}, 'studyFirstPostDateStruct': {'date': '2016-04-28', 'type': 'ESTIMATED'}, 'primaryCompletionDateStruct': {'date': '2019-09-25', 'type': 'ACTUAL'}}, 'outcomesModule': {'primaryOutcomes': [{'measure': 'Drug levels in breast milk', 'timeFrame': 'Through the study completion, an average of 4 years', 'description': 'Robust parameter estimates from pop PK modelling usually require samples from \\>30-50 individuals. Therefore, an average of 4 years is considered as the time frame, so that the required numbers of samples for each drug can be collected for population PK analysis and modelling.'}]}, 'oversightModule': {'oversightHasDmc': False}, 'conditionsModule': {'keywords': ['pharmacokinetics', 'Drug-in-milk', 'breastfeeding', 'drug safety', 'population pharmacokinetics'], 'conditions': ['Lactation']}, 'descriptionModule': {'briefSummary': 'Some medications taken by the breastfeeding women are excreted into milk, posing a potential risk of toxicity to the infant. The first line of evidence required for toxicity risk assessment is prediction of drug levels in milk. However, pharmacokinetic (PK) information of drug excretion into milk is largely lacking, or limited to data from case reports. This makes it difficult to provide population-level prediction of drug levels in milk. The lack of data on this topic jeopardizes not only maternal adherence to drug therapy during breastfeeding but also establishment of breastfeeding, even if the drug is considered safe during nursing. Clearly, this clinical problem in drug safety is an important women\'s health issue, affecting both mother and infant. "Drugs in Lactation" Analysis Consortium (DLAC) is a "drug-in-milk" monitoring network, which is designed as a platform for efficient collection of patient milk samples in a real world setting to generate population predictions of drug excretion levels into human milk.', 'detailedDescription': 'OVERARCHING GOAL OF DLAC:\n\nTo establish a post-marketing "drug-in-milk" monitoring system for nursing women who are prescribed and using medications. Drugs in Lactation Analysis Consortium (DLAC) will provide risk assessment data and tools for toxicity detection in the form of population estimates and variations of drug levels in mother\'s milk and infant plasma for several common medications in a real world setting.\n\nSPECIFIC OBJECTIVES:\n\n* To generate data on drug levels in breast milk\n* To develop a population pharmacokinetic model describing drug levels in milk\n* To simulate/predict drug levels in milk in a population, based on the pop PK model\n* To develop a physiologically-based pharmacokinetic (PBPK) model describing drug levels in infant serum\n* To screen the breastfed infants of mothers on the study drugs for general health condition (medical issues, developmental milestones)\n\nSCOPE AND RATIONALE:\n\nInformation on the extent of drug excretion into mother\'s milk is lacking, mainly due to the following two reasons: 1) nursing women are excluded from drug trials; 2) ethical and practical difficulties in conducting intensive-sampling PK studies in the breastfeeding mothers. Even if data exist, they are based on small numbers of patients, and it is difficult to translate the information into population estimates of drug levels in milk. DLAC is developed as a novel drug safety network using population PK (popPK) modeling approach, which allows population-level PK parameter estimation, modeling and simulation based on a scheme of sparse sampling per individual, systematically collected from a large number of nursing women on medication in real world setting. This approach will provide population risk estimates as probability distribution of reaching certain drug level in milk and plasma. Equipped with a versatile drug analysis core and a popPK modeling and simulation unit, DLAC will be able to generate PK estimates of a population in the context of breastfeeding.'}, 'eligibilityModule': {'sex': 'FEMALE', 'stdAges': ['ADULT', 'OLDER_ADULT'], 'minimumAge': '18 Years', 'samplingMethod': 'NON_PROBABILITY_SAMPLE', 'studyPopulation': 'Lactating women over the age of 18 who are taking one of the drugs of interest of the study', 'healthyVolunteers': False, 'eligibilityCriteria': 'Inclusion Criteria:\n\n* Age over 18 years old Taking one or more drugs of interest of the study, at steady state\n\nExclusion Criteria:\n\n* Being unable to communicate in English, Colostrum phase (\\<1 week postpartum)'}, 'identificationModule': {'nctId': 'NCT02755194', 'acronym': 'DLAC', 'briefTitle': '"Drugs in Lactation" Analysis Consortium', 'organization': {'class': 'OTHER', 'fullName': 'The Hospital for Sick Children'}, 'officialTitle': '"Drugs in Lactation" Analysis Consortium (DLAC)', 'orgStudyIdInfo': {'id': '1000036538'}}, 'armsInterventionsModule': {'armGroups': [{'label': 'Breastfeeding women on the study medications', 'description': 'The study population consists of lactating/breastfeeding women over the age of 18, who are able to communicate in English and are taking one or more of the study drugs (Infliximab, Adalimumab, Golimumab, Certolizumab, Etanercept, Methotrexate, Ezetimibe, Bupropion, Citalopram, Venlafaxine)', 'interventionNames': ['Other: No intervention']}], 'interventions': [{'name': 'No intervention', 'type': 'OTHER', 'description': 'This is an observational study. The exposure of interest includes taking specific prescribed medications during breastfeeding.', 'armGroupLabels': ['Breastfeeding women on the study medications']}]}, 'contactsLocationsModule': {'locations': [{'zip': 'M5G1X8', 'city': 'Toronto', 'state': 'Ontario', 'country': 'Canada', 'facility': 'The Hospital for Sick Children', 'geoPoint': {'lat': 43.70643, 'lon': -79.39864}}], 'overallOfficials': [{'name': 'Shinya Ito, MD, FRCPC', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'The Hospital for Sick Children'}]}, 'ipdSharingStatementModule': {'ipdSharing': 'NO'}, 'sponsorCollaboratorsModule': {'leadSponsor': {'name': 'The Hospital for Sick Children', 'class': 'OTHER'}, 'responsibleParty': {'type': 'PRINCIPAL_INVESTIGATOR', 'investigatorTitle': 'Division Head, Senior Scientist', 'investigatorFullName': 'Shinya Ito', 'investigatorAffiliation': 'The Hospital for Sick Children'}}}}