Literature DB >> 19778291

Comparison of visual vs. automated detection of lipemic, icteric and hemolyzed specimens: can we rely on a human eye?

Ana-Maria Simundic1, Nora Nikolac, Valentina Ivankovic, Dragica Ferenec-Ruzic, Bojana Magdic, Marina Kvaternik, Elizabeta Topic.   

Abstract

BACKGROUND: Results from hemolyzed, icteric, and lipemic samples may be inaccurate and can lead to medical errors. These preanalytical interferences may be detected using visual or automated assessment. Visual inspection is time consuming, highly subjective and not standardized. Our aim was to assess the comparability of automated spectrophotometric detection and visual inspection of lipemic, icteric and hemolyzed samples.
METHODS: This study was performed on 1727 routine biochemistry serum samples. Automated detection was performed using the Olympus AU2700 analyzer. We assessed: 1) comparability of visual and automated detection of lipemic, icteric and hemolyzed samples, 2) precision of automated detection, and 3) inter-observer variability for visual inspection.
RESULTS: Weighted kappa coefficients for comparability of visual and automated detection were: 0.555, 0.529 and 0.638, for lipemic, icteric and hemolyzed samples, respectively. The precision for automated detection was high for all interferences, with the exception of samples being only slightly lipemic. The best overall agreement between observers was present in assessing lipemia (mean weighted kappa=0.698), whereas the lowest degree of agreement was observed in assessing icterus (mean weighted kappa=0.476).
CONCLUSIONS: Visual inspection of lipemic, icteric and hemolyzed samples is highly unreliable and should be replaced by automated systems that report serum indices.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19778291     DOI: 10.1515/CCLM.2009.306

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  19 in total

Review 1.  Current Methods of Haemolysis Detection and Reporting as a Source of Risk to Patient Safety: a Narrative Review.

Authors:  Euan J McCaughey; Elia Vecellio; Rebecca Lake; Ling Li; Leslie Burnett; Douglas Chesher; Stephen Braye; Mark Mackay; Stephanie Gay; Tony C Badrick; Johanna I Westbrook; Andrew Georgiou
Journal:  Clin Biochem Rev       Date:  2016-12

2.  Interferograms plotted with reference change value (RCV) may facilitate the management of hemolyzed samples.

Authors:  Kamil Taha Uçar; Abdulkadir Çat; Alper Gümüş; Nilhan Nurlu
Journal:  J Med Biochem       Date:  2022-02-02       Impact factor: 3.402

3.  Evaluating human versus machine learning performance in classifying research abstracts.

Authors:  Yeow Chong Goh; Xin Qing Cai; Walter Theseira; Giovanni Ko; Khiam Aik Khor
Journal:  Scientometrics       Date:  2020-07-18       Impact factor: 3.238

Review 4.  COVID-19-another influential event impacts on laboratory medicine management.

Authors:  YunTao Luo; JingHua Wang; MinMin Zhang; QingZhong Wang; Rong Chen; XueLiang Wang; HuaLiang Wang
Journal:  J Clin Lab Anal       Date:  2021-05-25       Impact factor: 2.352

5.  Optimized Collection Protocol for Plasma MicroRNA Measurement in Patients with Cardiovascular Disease.

Authors:  Chi-Sheng Wu; Fen-Chiung Lin; Shu-Jen Chen; Yung-Lung Chen; Wen-Jung Chung; Cheng-I Cheng
Journal:  Biomed Res Int       Date:  2016-09-20       Impact factor: 3.411

6.  Novel Opportunities for Improving the Quality of Preanalytical Phase. A Glimpse to the Future?

Authors:  Giuseppe Lippi; Janne Cadamuro
Journal:  J Med Biochem       Date:  2017-10-28       Impact factor: 3.402

7.  Interrater reliability: the kappa statistic.

Authors:  Mary L McHugh
Journal:  Biochem Med (Zagreb)       Date:  2012       Impact factor: 2.313

8.  Investigation of unusual high serum indices for lipemia in clear serum samples on siemens analysers dimension.

Authors:  Eva Fliser; Ksenija Jerkovic; Tanja Vidovic; Maksimiljan Gorenjak
Journal:  Biochem Med (Zagreb)       Date:  2012       Impact factor: 2.313

Review 9.  Lipemia: causes, interference mechanisms, detection and management.

Authors:  Nora Nikolac
Journal:  Biochem Med (Zagreb)       Date:  2014-02-15       Impact factor: 2.313

Review 10.  Critical review and meta-analysis of spurious hemolysis in blood samples collected from intravenous catheters.

Authors:  Giuseppe Lippi; Gianfranco Cervellin; Camilla Mattiuzzi
Journal:  Biochem Med (Zagreb)       Date:  2013       Impact factor: 2.313

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.