- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT01781182
Infant Antibiotic Resistance and Implications for Therapeutic Decision-making
Escalating resistance to antibiotics among disease-causing community bacteria increasingly threatens our ability to treat patients' infections. At the level of the physician-patient encounter, incentives at the patient level often take priority to society; this is often the case with antibiotic prescribing. Each patient level antibiotic treatment decision is based on how we value potential outcomes, including short-term benefits and risks and longer-term risks, including those related to future bacterial resistance to antibiotics. Unfortunately, antibiotics are often prescribed for illnesses unlikely to have a bacterial etiology; even a very small likelihood of benefit seems to outweigh an increased risk of future antibiotic resistance. While short-term effects of antibiotics on colonization with resistant bacteria have been demonstrated, the overall implications of each treatment for future individual, family and societal-level resistance remain difficult to quantify, and are often steeply discounted or ignored during decision-making. Knowledge regarding the longer-term effects of personal and household antibiotic use could better quantify these future resistance-related risks, and help guide antibiotic decision-making for physicians and patients.
Infants are born with sterile nasopharyngeal and gastrointestinal tracts and yet, during the 1st year of life, become important reservoirs of resistant organisms; this creates an opportunity to study colonization and resistance starting from a microbiological tabula rasa. In this proposal, we will use an observational cohort to following newborns' antibiotic exposure and longitudinal colonization with specific bacterial pathogens and related antibiotic resistance in the 1st year of life. Our hypothesis is that during the 1st year of life, infants with personal and household antibiotic exposure will have greater colonization with resistan organisms than infants without antibiotic exposure. This project will help us understand the development of bacteria that are resistant to antibiotics within the community, and help to inform judicious decision-making regarding antibiotic prescribing.
Study Overview
Status
Conditions
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Ohio
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Cleveland, Ohio, United States, 44106
- University Hospitals Case Medical Center
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Infant in regular nursery at University Hospitals CWRU
- Mother has legal custody
- Mother is >=18 years old
- Mother's and baby's physicians have granted permission for possible enrollment
- Mother speaks, reads and understands the English language
Exclusion Criteria:
- Does not fit inclusion criteria
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
---|---|
Colonization with resistant organism of interest
Time Frame: First 12 months of life
|
First 12 months of life
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Collaborators and Investigators
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 1K23AI097284-01A1 (U.S. NIH Grant/Contract)
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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