Reference interval transference of common clinical biomarkers

Interpreting clinical test results requires accurate reference intervals. These intervals are influenced by factors like race, sex, and age. Establishing new intervals for each lab is costly and impractical. Prior research has shown that reference intervals vary across populations and testing systems. This gap motivated exploration of transference methods. No prior work had resolved whether intervals can be reliably shared across systems. The CLSI C28-A3c guideline suggests possible transferability. This paper addresses whether such transference is feasible. It examines the potential for multiregional labs to share intervals.

The study aimed to assess the feasibility of transferring reference intervals between different measurement systems. It sought to determine if shared intervals could maintain test accuracy. The focus was on common clinical biomarkers. The motivation was to reduce redundant interval establishment. The study examined CLSI guidelines for transference. It explored challenges like population differences and system variability. The goal was to expand reference interval databases. The paper evaluated whether transference ensures consistent results.

The study reviewed existing literature on reference interval transference. It analyzed guidelines from CLSI, specifically C28-A3c. The approach included evaluating multiregional data compatibility. The researchers compared different measurement systems. They examined how factors like race and age affect intervals. The study considered the impact of geographical differences. It assessed the validity of transferring intervals between labs. The focus was on ensuring accuracy and consistency.

The study found that transference is possible under CLSI guidelines. It showed that multiregional labs can share intervals with caution. Key findings suggest that population differences must be considered. The results indicate that system variability affects transference. The study confirmed that shared intervals can maintain accuracy. It found that age and sex remain critical factors. The analysis revealed that geographic location influences results. The findings support cautious interval transference.

The authors propose that transference is feasible with proper validation. They suggest that CLSI guidelines provide a framework for sharing intervals. The study emphasizes the need for population-specific adjustments. The findings indicate that transference can reduce redundant work. It was already known that intervals vary by region and system. The authors suggest that shared databases improve diagnostic consistency. They propose that careful evaluation is necessary for each transfer. The study supports cautious interval transference.