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Predicting risk factors for pediatric mortality in clinical trial research: A retrospective, cross-sectional study

Jiahui Ma1, Elizabeth A Johnson2, Bernadette McCrory1

  • 1Montana State University, Norm Asbjornson College of Engineering, Bozeman, MT, USA.

Journal of Clinical and Translational Science
|October 30, 2023
PubMed

Insights

Real-world data analysis of pediatric clinical trials reveals factors influencing survival. Key associations include diagnoses, procedures, hospital transfer, specific conditions, and hospital size, informing patient safety improvements.

Area of Science:

  • Pediatric clinical trial research
  • Healthcare data analytics
  • Patient safety in clinical trials

Background:

  • Real-world data and big data analysis are crucial for improving healthcare delivery.
  • All-cause mortality is a key metric for enhancing patient safety in clinical trials, particularly for pediatric participants.

Purpose of the Study:

  • To determine associations between pediatric mortality and patient-specific factors.
  • Utilize the Healthcare Cost and Utilization Project (HCUP) database for analysis.

Main Methods:

  • Logistic regression analysis of the 2019 HCUP Kids' Inpatient Database (KID).
  • Examined associations between pediatric survival and demographic, socioeconomic, discharge, and hospital factors.

Main Results:

  • Survival associated with fewer diagnoses/procedures, longer stays, older age, and hospital transfers.
  • Conditions like major trauma or hepatobiliary issues significantly decreased survival odds.
  • West/Midwest regions and larger hospitals showed associations with survival.

Conclusions:

  • Real-world data analysis identifies areas for improving pediatric clinical trial quality and safety.
  • User-centered design is needed for pediatric trial tools.
  • Safe transfer procedures and best practice dissemination are vital for trial management and safety.
Abstract

Keywords:
Pediatricsbig dataclinical trialhealthcare utilizationsafety

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