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PCORnet Antibiotics and Childhood Growth Study: Process for Cohort Creation and Cohort Description
Jason P Block1, L Charles Bailey2, Matthew W Gillman3
1Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass.
Insights
Early antibiotic use is common in children, with over half receiving prescriptions before age two. This national study analyzed data from over 680,000 children to understand antibiotic exposure and growth patterns.
Area of Science:
- Pediatric Health Research
- Observational Studies
- Public Health Data Analysis
Background:
- The National Patient-Centered Clinical Research Network (PCORnet) facilitates large-scale observational studies using healthcare data.
- The PCORnet Antibiotics and Childhood Growth Study is a key inaugural observational research project within PCORnet.
- Understanding early life antibiotic exposure is crucial for pediatric health outcomes.
Purpose of the Study:
- To describe the data integration and analysis processes for a large, multi-institutional cohort of children.
- To characterize the cohort demographics and the prevalence of antibiotic use in early childhood.
- To establish a foundation for examining the relationship between antibiotic exposure and childhood growth.
Main Methods:
- Included children with same-day height and weight measurements across three key age periods before age five.
- Utilized statistical queries run on local PCORnet Common Data Model instances, returning aggregate data for analysis.
- Defined overweight and obesity using age- and sex-specific body mass index percentiles.
Main Results:
- A diverse cohort of 681,739 children was analyzed, with significant representation from Black (24.9%) and Hispanic (17.5%) populations.
- Over half of children (55.2%) received at least one antibiotic prescription before 24 months of age.
- Prevalence of overweight and obesity was 27.6% in early childhood (4 to <6 years) and 36.2% in later childhood (9 to <11 years).
Conclusions:
- The PCORnet Antibiotics and Childhood Growth Study is a significant national, longitudinal observational study.
- The study involves a diverse pediatric population, enabling robust analysis of health trends.
- It provides a critical dataset for future research on early antibiotic exposure and childhood growth patterns.
Objectives:
The National Patient-Centered Clinical Research Network (PCORnet) supports observational and clinical research using health care data. The PCORnet Antibiotics and Childhood Growth Study is one of PCORnet's inaugural observational studies. We sought to describe the processes used to integrate and analyze data from children across 35 participating institutions, the cohort characteristics, and prevalence of antibiotic use.
Methods:
We included children in the cohort if they had at least one same-day height and weight measured in each of 3 age periods: 1) before 12 months, 2) 12 to 30 months, and 3) after 24 months. We distributed statistical queries that each institution ran on its local version of the PCORnet Common Data Model, with aggregate data returned for analysis. We defined overweight or obesity as age- and sex-specific body mass index ≥85th percentile, obesity ≥95th percentile, and severe obesity ≥120% of the 95th percentile.
Results:
A total of 681,739 children met the cohort inclusion criteria, and participants were racially/ethnically diverse (24.9% black, 17.5% Hispanic). Before 24 months of age, 55.2% of children received at least one antibiotic prescription; 21.3% received a single antibiotic prescription; 14.3% received 4 or more; and 33.3% received a broad-spectrum antibiotic. Overweight and obesity prevalence was 27.6% at age 4 to <6 years (n = 362,044) and 36.2% at 9 to <11 years (n = 58,344).
Conclusions:
The PCORnet Antibiotics and Childhood Growth Study is a large national longitudinal observational study in a diverse population that will examine the relationship between early antibiotic use and subsequent growth patterns in children.
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