000036770 001__ 36770
000036770 005__ 20200221144128.0
000036770 0247_ $$2doi$$a10.1016/j.plabm.2015.11.001
000036770 0248_ $$2sideral$$a93170
000036770 037__ $$aART-2016-93170
000036770 041__ $$aeng
000036770 100__ $$aGarcía-González, E.
000036770 245__ $$aSerum sample containing endogenous antibodies interfering with multiple hormone immunoassays. Laboratory strategies to detect interference
000036770 260__ $$c2016
000036770 5060_ $$aAccess copy available to the general public$$fUnrestricted
000036770 5203_ $$aObjectives: Endogenous antibodies (EA) may interfere with immunoassays, causing erroneous results for hormone analyses. As (in most cases) this interference arises from the assay format and most immunoassays, even from different manufacturers, are constructed in a similar way, it is possible for a single type of EA to interfere with different immunoassays. Here we describe the case of a patient whose serum sample contains EA that interfere several hormones tests. We also discuss the strategies deployed to detect interference. Subjects and methods: Over a period of four years, a 30-year-old man was subjected to a plethora of laboratory and imaging diagnostic procedures as a consequence of elevated hormone results, mainly of pituitary origin, which did not correlate with the overall clinical picture. Results: Once analytical interference was suspected, the best laboratory approaches to investigate it were sample reanalysis on an alternative platform and sample incubation with antibody blocking tubes. Construction of an in-house ''nonsense'' sandwich assay was also a valuable strategy to confirm interference. In contrast, serial sample dilutions were of no value in our case, while polyethylene glycol (PEG) precipitation gave inconclusive results, probably due to the use of inappropriate PEG concentrations for several of the tests assayed. Conclusions: Clinicians and laboratorians must be aware of the drawbacks of immunometric assays, and alert to the possibility of EA interference when results do not fit the clinical pattern.
000036770 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000036770 592__ $$a0.182$$b2016
000036770 593__ $$aRadiological and Ultrasound Technology$$c2016$$dQ3
000036770 593__ $$aClinical Biochemistry$$c2016$$dQ4
000036770 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000036770 700__ $$0(orcid)0000-0002-3916-9992$$aAramendía, M.
000036770 700__ $$aÁlvarez-Ballano, D.
000036770 700__ $$aTrincado, P.
000036770 700__ $$aRello, L.
000036770 773__ $$g4 (2016), 41-49$$tPractical Laboratory Medicine$$x2352-5517
000036770 8564_ $$s1017783$$uhttps://zaguan.unizar.es/record/36770/files/texto_completo.pdf$$yVersión publicada
000036770 8564_ $$s74726$$uhttps://zaguan.unizar.es/record/36770/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000036770 909CO $$ooai:zaguan.unizar.es:36770$$particulos$$pdriver
000036770 951__ $$a2020-02-21-13:04:23
000036770 980__ $$aARTICLE