Automated quantitative nephelometric latex immunoassay for determining ferritin in human serum

Borque, L.; Rus, Antonio; Cura, J. Del; Maside, Carlos; Escanero, Jesús F.

doi:10.1002/jcla.1860060413

Cited by 4 publications

(1 citation statement)

References 20 publications

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“…Homogeneous immunoassays provide rapid, costeffective and yet reliable alternative for serum protein determination (5)(6)(7). The measurement of the immunoturbidimetric signal can be performed on a routine clinical chemistry analyser.…”

Section: Introductionmentioning

confidence: 99%

Automated Prozone Effect Detection in Ferritin Homogeneous Immunoassays Using Neural Network Classifiers

Papik¹,

Molnár²,

Fedorcsák³

et al. 1999

CCLM

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The application of turbidimetric homogeneous immunoassays made the determination of several plasma components widely available. The sensitivity and accuracy of these assays are appropriate enough for routine laboratory use; however, in the case of many pathologically high concentration samples, prozone effect (high dose hook effect) can be observed, that leads to false-negative determination. Up to the present there are no cost-effective algorithms available for the safe detection of the prozone effect. Pathological serum ferritin values can be elevated up to 5000 ng/ml, while the measuring range covers only the 0-440 ng/ml range by a commercial assay. The determination of samples with ferritin concentration higher than 1500 ng/ml results in false-negative values because of the overlapping measuring range and prozone effect range. The prozone effect can be recognised by analysis of reaction kinetics after measurement. We have developed a neural network classifier system to analyse reaction kinetics of the measurements and check the prozone effect. One thousand five hundred determinations and 77 patient samples were used for neural network training and test. Using the trained neural networks, false-negative results can be filtered immediately after the determination, without re-run; thus, the sensitivity of plasma ferritin determination may become reliable enough, even in the case of high concentration samples. Applying this new technology, false-negative serum ferritin determinations can be avoided, thus even a relatively high hook effect rate (5-12% in different patient groups) can be handled safely.

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Section: Introductionmentioning

confidence: 99%

Automated Prozone Effect Detection in Ferritin Homogeneous Immunoassays Using Neural Network Classifiers

Papik¹,

Molnár²,

Fedorcsák³

et al. 1999

CCLM

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Rapid Homogeneous Immunoassay for Human Ferritin in the Cobas Mira Using Colloidal Gold as the Reporter Reagent

Englebienne¹,

Hoonacker²,

Valsamis

2000

Clinical Chemistry

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Performance and comparability of laboratory methods for measuring ferritin concentrations in human serum or plasma: A systematic review and meta-analysis

et al. 2018

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BackgroundDifferent laboratory methods are used to quantify ferritin concentrations as a marker of iron status. A systematic review was undertaken to assess the accuracy and comparability of the most used methods for ferritin detection.Methods and findingsNational and regional databases were searched for prospective, retrospective, sectional, longitudinal and case-control studies containing the characteristics and performance of at least one method for serum/plasma ferritin determinations in humans published to date. The analysis included the comparison between at least 2 methods detailing: sensitivity, precision, accuracy, predictive values, inter-methods adjustment, and use of international reference materials. Pooled method performance was analyzed for each method and across methods.OutcomesSearch strategy identified 11893 records. After de-duplication and screening 252 studies were assessed, including 187 studies in the qualitative analysis and 148 in the meta-analysis. The most used methods included radiometric, nonradiometric and agglutination assays. The overall within-run imprecision for the most reported ferritin methods was 6.2±3.4% (CI 5.69–6.70%; n = 171), between-run imprecision 8.9±8.7% (CI 7.44–10.35%; n = 136), and recovery rate 95.6% (CI 91.5–99.7%; n = 94). The pooled regression coefficient was 0.985 among all methods analyzed, and 0.984 when comparing nonradiometric and radiometric methods, without statistical differences in ferritin concentration ranging from 2.3 to 1454 μμg/L.ConclusionThe laboratory methods most used to determine ferritin concentrations have comparable accuracy and performance. Registered in PROSPERO CRD42016036222.

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Automated quantitative nephelometric latex immunoassay for determining ferritin in human serum

Cited by 4 publications

References 20 publications

Automated Prozone Effect Detection in Ferritin Homogeneous Immunoassays Using Neural Network Classifiers

Automated Prozone Effect Detection in Ferritin Homogeneous Immunoassays Using Neural Network Classifiers

Rapid Homogeneous Immunoassay for Human Ferritin in the Cobas Mira Using Colloidal Gold as the Reporter Reagent

Performance and comparability of laboratory methods for measuring ferritin concentrations in human serum or plasma: A systematic review and meta-analysis

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