Optimization of hemolysis index thresholds for biochemical and immunoassays
Abstract
Background Our study aimed at establishing analyte-specific hemolysis-index thresholds on 18 chemistry assays to avoid re-sampling on Atellica© Solution (Siemens Healthcare Diagnostics, Los Angeles, CA, USA). Methods We focused on the analytes which showed the highest degree of hemolysis interference at one or two baseline concentrations for the following 18 analytes: ALT (alanine aminotransferase), ammonium, AST (aspartate aminotransferase), CK (creatine kinase), creatinine, folates, FSH (follicle stimulating hormone), GGT (γ-glutamyltransferase), Hp (haptoglobin), iron, insulin, LD (lactate dehydrogenase), lipase, potassium, urea, uric acid, vitamins B12, and D. Interference was quantified as a percentage difference from the Hb-free baseline sample. Each calculated bias was compared to the four cutoffs: 10%Δ, analytical change limit, total change limit, or reference change limit. Results Analytes that did not exceed the predefined allowable-bias criterion for hemolysis included creatinine, FSH, GGT, iron, urea, uric acid, and vitamin B12. Among the affected analytes, the largest positive and negative biases were observed for AST, folates, LD, and potassium. The principal quantitative optimized thresholds for the hemolysis-sensitive analytes were AST, folates, iron, potassium, and LD tests. Conclusion Our study allowed us to supplement the data provided by the manufacturer and to optimize the thresholds for interference with hemolysis management of hemolyzed samples.
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BibTeX
@article{dupuy2026optimization,
title = {{Optimization of hemolysis index thresholds for biochemical and immunoassays}},
author = {Anne Marie Dupuy and Delphine Tabone and Caroline Coulon and Marion Morena and Jean Paul Cristol},
journal = {Bioanalysis},
year = {2026},
month = oct,
doi = {10.1080/17576180.2026.2744031},
url = {https://hal.science/hal-05804108v1},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Optimization of hemolysis index thresholds for biochemical and immunoassays
AU - Anne Marie Dupuy
AU - Delphine Tabone
AU - Caroline Coulon
AU - Marion Morena
AU - Jean Paul Cristol
PY - 2026
DA - 2026/10/16
JO - Bioanalysis
DO - 10.1080/17576180.2026.2744031
UR - https://hal.science/hal-05804108v1
AB - Background Our study aimed at establishing analyte-specific hemolysis-index thresholds on 18 chemistry assays to avoid re-sampling on Atellica© Solution (Siemens Healthcare Diagnostics, Los Angeles, CA, USA). Methods We focused on the analytes which showed the highest degree of hemolysis interference at one or two baseline concentrations for the following 18 analytes: ALT (alanine aminotransferase), ammonium, AST (aspartate aminotransferase), CK (creatine kinase), creatinine, folates, FSH (follicle stimulating hormone), GGT (γ-glutamyltransferase), Hp (haptoglobin), iron, insulin, LD (lactate dehydrogenase), lipase, potassium, urea, uric acid, vitamins B12, and D. Interference was quantified as a percentage difference from the Hb-free baseline sample. Each calculated bias was compared to the four cutoffs: 10%Δ, analytical change limit, total change limit, or reference change limit. Results Analytes that did not exceed the predefined allowable-bias criterion for hemolysis included creatinine, FSH, GGT, iron, urea, uric acid, and vitamin B12. Among the affected analytes, the largest positive and negative biases were observed for AST, folates, LD, and potassium. The principal quantitative optimized thresholds for the hemolysis-sensitive analytes were AST, folates, iron, potassium, and LD tests. Conclusion Our study allowed us to supplement the data provided by the manufacturer and to optimize the thresholds for interference with hemolysis management of hemolyzed samples.
SN - 1757-6180
SN - 1757-6199
ER -