The 99th percentile upper reference limit for the 5th generation cardiac troponin T assay in the United States.
Publication/Presentation Date
5-1-2020
Abstract
BACKGROUND: Determining diagnostic thresholds for cardiac troponin assays is key to interpreting their clinical performance. We describe the calculation of 99th percentile upper reference limits (URLs) for the Elecsys® Troponin T Gen 5 (TnT Gen 5) assay.
METHODS: Plasma and serum samples from healthy US participants were prospectively evaluated using TnT Gen 5 Short Turn Around Time and 18-min assays on cobas e 411 and cobas e 601 analyzers (Roche Diagnostics); with, up to 8 TnT Gen 5 results per participant.
RESULTS: A total of 10,402 TnT Gen 5 results from 1301 participants were included (50.4% female). Across 9 calculation methods, overall 99th percentile URL was 19.2 ng/l (females, 13.5-13.6 ng/l; males, 21.4-22.2 ng/l). Across different sample/assay/analyzer combinations, overall 99th percentile URLs ranged from 18.4-20.2 ng/l. Median TnT Gen 5 results increased with age, were higher in males, and ranged from 3.0-3.7 ng/l across races/ethnicities and from 3.0-3.6 ng/l across body mass index (BMI) classes. Applying additional exclusion criteria (N-terminal pro-brain natriuretic peptide, BMI and estimated glomerular filtration rate) resulted in lower 99th percentile URLs (overall, 16.9 ng/l; females, 11.8 ng/l; males, 18.5 ng/l).
CONCLUSION: Our findings facilitate the interpretation of TnT Gen 5 results in US clinical practice.
Volume
504
First Page
172
Last Page
179
ISSN
1873-3492
Published In/Presented At
Fitzgerald, R. L., Hollander, J. E., Peacock, W. F., Limkakeng, A. T., Breitenbeck, N., Rivers, E. J., Ziegler, A., Laimighofer, M., & deFilippi, C. (2020). The 99th percentile upper reference limit for the 5th generation cardiac troponin T assay in the United States. Clinica chimica acta; international journal of clinical chemistry, 504, 172–179. https://doi.org/10.1016/j.cca.2020.01.027
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
32001233
Department(s)
Administration and Leadership
Document Type
Article