Routine data analysis for moderate hemolysis interference correction in neuron specific enolase quantification

In summary, with this innovative approach, the NSE<sub>calc</sub> bias is low enough to have clinical significance, so re-drawings of blood samples might be avoided. This approach also opens the possibility to correct the estimation of other magnitude concentrations affected by <i>in vitro</i> hemolysis.

Authors

Institutions

Publication Details

Journal
Biochemia Medica
Published
2025-06-11
DOI
https://doi.org/10.11613/bm.2025.020802
Citations
3
Primary Topic
Cardiac Arrest and Resuscitation
Type
article
Field-Weighted Citation Impact
6.76
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Routine data analysis for moderate hemolysis interference correction in neuron specific enolase quantification

Estíbaliz Alegre, T. De Haro Muñoz, Leyre Ruiz, Álvaro González
3 citations
Biochemia Medica
Cardiac Arrest and Resuscitation
6.76
article

Routine data analysis for moderate hemolysis interference correction in neuron specific enolase quantification

Estíbaliz Alegre, T. De Haro Muñoz, Leyre Ruiz, Álvaro González
article en
3 citations

Abstract

In summary, with this innovative approach, the NSE<sub>calc</sub> bias is low enough to have clinical significance, so re-drawings of blood samples might be avoided. This approach also opens the possibility to correct the estimation of other magnitude concentrations affected by <i>in vitro</i> hemolysis.

Biochemia MedicaVol. 35(2)
Clinica Universidad de Navarra (ES), Universidad de Navarra (ES)
Good health and well-being
Openalex Percentile: Top 3%
Cardiac Arrest and Resuscitation
6.76
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.