Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

High Sensitivity Immunoassays for C-Reactive Protein: Promises and Pitfalls

Authors: T B, Ledue; N, Rifai;

High Sensitivity Immunoassays for C-Reactive Protein: Promises and Pitfalls

Abstract

C-reactive protein (CRP) has historically been measured in the clinical laboratory for the detection and monitoring of occult infection and inflammation, using immunoturbidimetric or immunonephelometric techniques. The recent commercial availability of automated high-sensitivity assays has enabled investigators to measure CRP at levels previously unattainable on a routine basis and to explore its clinical utility in apparently healthy individuals. CRP concentrations increased above the individuals' baselines but still within the normal reference intervals have been observed in association with increasing age, obesity, and smoking and in individuals with chronic infections such as Chlamydia pneumoniae and Helicobacter pylori. More importantly, however, data from prospective studies have shown CRP to be a strong and independent predictor of future coronary events in subjects with and without coronary heart disease. An algorithm for risk assessment of coronary risk employing both CRP and lipid concentrations has recently been proposed. However, in order for this approach to be incorporated into clinical practice, agreement among the various CRP methods must be achieved. Of critical importance to this process is a basic understanding of issues affecting assay performance. Factors such as assay precision, sensitivity, matrix effects, calibration, and standardization need to be addressed adequately by the in vitro diagnostic industry and the clinical laboratory.

Related Organizations
Keywords

Immunoassay, C-Reactive Protein, Nephelometry and Turbidimetry, Reference Values, Humans, Reproducibility of Results, Sensitivity and Specificity, Algorithms

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    54
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
54
Top 10%
Top 10%
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!