Literature DB >> 17882852

Erroneous laboratory results: what clinicians need to know.

Yasmin Ismail1, Abbas A Ismail, Adel A A Ismail.   

Abstract

Laboratory tests such as 'conventional biochemistry' are analytically robust and trusted, however, some common tests performed by immunoassays, eg thyroid function tests, are inherently more prone to analytical interference, giving rise to incorrect results. Interfering antibodies capable of causing potentially misleading results in immunoassay varied from about 0.4% to 4%. Furthermore, this form of interference cannot be predicted a priori and cannot be detected even by most stringent laboratory quality control assurance schemes because it is unique to an individual sample. Since more than 10 million immunoassay tests are carried out yearly in the UK alone, the impact of this problem on delivering appropriate patient care can no longer be ignored. Clinicians tend to perceive all laboratory data in the same light. Because of this, increased awareness of the inherent limitations of these laboratory tests should trigger a more measured and thoughtful approach, thus ensuring patients receive appropriate investigations and treatment.

Entities:  

Mesh:

Year:  2007        PMID: 17882852      PMCID: PMC4952897          DOI: 10.7861/clinmedicine.7-4-357

Source DB:  PubMed          Journal:  Clin Med (Lond)        ISSN: 1470-2118            Impact factor:   2.659


  5 in total

1.  Time, money and the housestaff officer.

Authors:  M Hughey
Journal:  IMJ Ill Med J       Date:  1975-11

2.  On the diagnosis of subclinical hypothyroidism.

Authors:  Adel A A Ismail
Journal:  Br J Gen Pract       Date:  2007-12       Impact factor: 5.386

3.  A 58-year-old woman with abdominal symptoms and elevated C-reactive protein.

Authors:  Marie-Louise Daly; David J Cartwright; Paul J Lehner; Babak Javid
Journal:  PLoS Med       Date:  2008-07-01       Impact factor: 11.069

4.  Negative interference by rheumatoid factor of plasma B-type natriuretic peptide in chemiluminescent microparticle immunoassays.

Authors:  Wen Fan; Lei Xu; Liangcai Xie; Decai Yang; Xuezheng Liu; Jiajun Zhang; Yirong Li; Cunjian Yi
Journal:  PLoS One       Date:  2014-08-21       Impact factor: 3.240

5.  Analytical robustness of nine common assays: frequency of outliers and extreme differences identified by a large number of duplicate measurements.

Authors:  Stefanie Neubig; Anne Grotevendt; Anders Kallner; Matthias Nauck; Astrid Petersmann
Journal:  Biochem Med (Zagreb)       Date:  2017-02-15       Impact factor: 2.313

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.