Lipemic Samples: Underlying Mechanisms, Analytical Challenges, and Management

Laboratory errors contribute significantly to overall healthcare errors, patient harm, and subsequent higher healthcare costs.Specifically, two-thirds of laboratory errors usually occur in the preanalytical phase.One of the important causes of preanalytical errors is attributed to sample quality.The specimen quality or integrity may be compromised by the presence of interferences.Lipemia is one of the most important endogenous interferences after hemolysis.Lipemia could interfere with analyte measurements through different mechanisms, such as light scattering, volume displacement, changing sample heterogeneity, and interfering with electrophoretic and immunoassay methods.Although automated detection (L-index) is the common method, combined interpretation of the L-index and triglyceride concentration may help identify and characterize lipemic samples and reduce the limitations of each method when used alone.Dealing with lipemic specimens in a clinical laboratory is not as well standardized as in the case of hemolysis.Furthermore, there is no agreement among manufacturers regarding the cut-off value of lipemia interference for different tests.Each laboratory should have a written Standard Operating Procedure on how to detect lipemic samples, remove interference, and report results.These documents should be accessible to laboratory personnel to standardize the procedures, decrease mistakes, and improve patient safety.

Authors

Institutions

Publication Details

Journal
Korean Journal of Clinical Laboratory Science
Published
2026-09-29
DOI
https://doi.org/10.15324/kjcls.2026.58.3.263
Primary Topic
Clinical Laboratory Practices and Quality Control
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Lipemic Samples: Underlying Mechanisms, Analytical Challenges, and Management

Taha Sayed Mostafa Mohamed
Korean Journal of Clinical Laboratory Science
Clinical Laboratory Practices and Quality Control
article

Lipemic Samples: Underlying Mechanisms, Analytical Challenges, and Management

Taha Sayed Mostafa Mohamed
article en

Abstract

Laboratory errors contribute significantly to overall healthcare errors, patient harm, and subsequent higher healthcare costs.Specifically, two-thirds of laboratory errors usually occur in the preanalytical phase.One of the important causes of preanalytical errors is attributed to sample quality.The specimen quality or integrity may be compromised by the presence of interferences.Lipemia is one of the most important endogenous interferences after hemolysis.Lipemia could interfere with analyte measurements through different mechanisms, such as light scattering, volume displacement, changing sample heterogeneity, and interfering with electrophoretic and immunoassay methods.Although automated detection (L-index) is the common method, combined interpretation of the L-index and triglyceride concentration may help identify and characterize lipemic samples and reduce the limitations of each method when used alone.Dealing with lipemic specimens in a clinical laboratory is not as well standardized as in the case of hemolysis.Furthermore, there is no agreement among manufacturers regarding the cut-off value of lipemia interference for different tests.Each laboratory should have a written Standard Operating Procedure on how to detect lipemic samples, remove interference, and report results.These documents should be accessible to laboratory personnel to standardize the procedures, decrease mistakes, and improve patient safety.

Korean Journal of Clinical Laboratory ScienceVol. 58(3)
Assiut University (EG)
Good health and well-being
Openalex Percentile: Top 12%
Clinical Laboratory Practices and Quality Control
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Lipemic Samples: Underlying Mechanisms, Analytical Challenges, and Management — Taha Sayed Mostafa Mohamed · Korean Journal of Clinical Laboratory Science (2026) | TGRS Research Map | TGRS