Literature DB >> 18538302

[Interferences in immunoassays: Mechanisms and outcomes in endocrinology].

R Sapin1.   

Abstract

Immunoassays are used daily by clinical endocrinologists to refute or confirm a diagnosis, or to follow up the course of a treatment. Immunoassays have become increasingly sensitive, specific and reproducible, so that clinicians have great confidence in their results. However, they do not always yield correct results because interferences still occur. In the first part of this review, immunoassay interferences are described and their mechanisms explained: matrix effects, specificity defaults, interferences from antibodies and binding proteins, or the hook effect. The hormones most frequently concerned by these pitfalls are reviewed, even as strategies used to prevent and minimize interferences. In the second part, the consequences of failure to recognize an interference are reviewed: unjustified clinical decisions (wrong diagnosis, treatment, surgery) and, more exceptionally, publication in the scientific literature of erroneous results. Clinicians may sometimes inform laboratories of an increased risk of interference. In general, clinicians are in the best position to fully validate test results; because only they know all the medical data about their patients. If there is any suspicion of discrepancy between clinical and laboratory data, they must alert the laboratory. This is the only way to better detect and, if possible, eliminate interferences and their regrettable outcomes.

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Year:  2008        PMID: 18538302     DOI: 10.1016/j.ando.2008.04.002

Source DB:  PubMed          Journal:  Ann Endocrinol (Paris)        ISSN: 0003-4266            Impact factor:   2.478


  3 in total

1.  Rapid development of sensitive, high-throughput, quantitative and highly selective mass spectrometric targeted immunoassays for clinically important proteins in human plasma and serum.

Authors:  Bryan Krastins; Amol Prakash; David A Sarracino; Dobrin Nedelkov; Eric E Niederkofler; Urban A Kiernan; Randall Nelson; Maryann S Vogelsang; Gouri Vadali; Alejandra Garces; Jennifer N Sutton; Scott Peterman; Gregory Byram; Bruno Darbouret; Joëlle R Pérusse; Nabil G Seidah; Benoit Coulombe; Johan Gobom; Erik Portelius; Josef Pannee; Kaj Blennow; Vathany Kulasingam; Lewis Couchman; Caje Moniz; Mary F Lopez
Journal:  Clin Biochem       Date:  2013-01-08       Impact factor: 3.281

2. 

Authors:  Imene Ben Jdidia; Kaouther Zribi; Meriam Boubaker; Amira Brahem; Mouna Sayadi; Marwa Tlijani; Zahra Saidani; Amani Cherif
Journal:  Can J Hosp Pharm       Date:  2021

3.  Interpretation of hormone levels in older patients: points for consideration.

Authors:  Krystyna Sztefko; Patrycja Szybowska
Journal:  Int J Endocrinol       Date:  2012-05-14       Impact factor: 3.257

  3 in total

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