Document Type
Article
Publication Date
10-2016
Keywords
big data analysis, adverse events, clinical trial data, population health, clinical trial safety, data processing and integration
Digital Object Identifier (DOI)
https://doi.org/10.2196/medinform.6437
Abstract
BACKGROUND: Understanding adverse event patterns in clinical studies across populations is important for patient safety and protection in clinical trials as well as for developing appropriate drug therapies, procedures, and treatment plans.
OBJECTIVES: The objective of our study was to conduct a data-driven population-based analysis to estimate the incidence, diversity, and association patterns of adverse events by age of the clinical trials patients and participants.
METHODS: Two aspects of adverse event patterns were measured: (1) the adverse event incidence rate in each of the patient age groups and (2) the diversity of adverse events defined as distinct types of adverse events categorized by organ system. Statistical analysis was done on the summarized clinical trial data. The incident rate and diversity level in each of the age groups were compared with the lowest group (reference group) using t tests. Cohort data was obtained from ClinicalTrials.gov, and 186,339 clinical studies were analyzed; data were extracted from the 17,853 clinical trials that reported clinical outcomes. The total number of clinical trial participants was 6,808,619, and total number of participants affected by adverse events in these trials was 1,840,432. The trial participants were divided into eight different age groups to support cross-age group comparison.
RESULTS: In general, children and older patients are more susceptible to adverse events in clinical trial studies. Using the lowest incidence age group as the reference group (20-29 years), the incidence rate of the 0-9 years-old group was 31.41%, approximately 1.51 times higher (P=.04) than the young adult group (20-29 years) at 20.76%. The second-highest group is the 50-59 years-old group with an incidence rate of 30.09%, significantly higher (P
CONCLUSION: The results show that there is a significant adverse event variance at the population level between different age groups in clinical trials. The data suggest that age-associated adverse events should be considered in planning, monitoring, and regulating clinical trials.
Rights Information
This work is licensed under a Creative Commons Attribution 3.0 License.
Was this content written or created while at USF?
No
Citation / Publisher Attribution
JMIR Medical Informatics, v. 4, issue 4, art. 30
Scholar Commons Citation
Luo, Jake; Eldredge, Christina; Cho, Chi C.; and Cisler, Ron A., "Population Analysis of Adverse Events in Different Age Groups Using Big Clinical Trials Data" (2016). School of Information Faculty Publications. 436.
https://digitalcommons.usf.edu/si_facpub/436
