Literature DB >> 33736222

Assessment of LeadCare® II analysis for testing of a wide range of blood lead levels in comparison with ICP-MS analysis.

Hokuto Nakata1, Shouta M M Nakayama2, John Yabe3, Kaampwe Muzandu3, Haruya Toyomaki1, Yared Beyene Yohannes4, Andrew Kataba5, Golden Zyambo3, Yoshinori Ikenaka6, Kennedy Choongo7, Mayumi Ishizuka8.   

Abstract

The LeadCare® testing system, which utilizes anodic stripping voltammetry (ASV) methodology, has been widely used worldwide for cost-effective blood lead level (BLL) screening. However, some concerns have recently been issued regarding inaccurate results obtained using LeadCare®. Hence, we aimed to evaluate the accuracy of BLL measured by LeadCare® II (BLLLC) by comparison with ICP-MS (BLLIM) by the Passing-Bablok regression, Deming regression, and Bland-Altman analyses by using 994 venous blood samples. BLLLC ranged from 3.3 to 162.3 μg/dL, while BLLIM ranged from 0.8 to 154.8 μg/dL. Although BLLLC and BLLIM exhibited a strong and positive correlation, BLLLC values were generally greater than BLLIM values, indicative of the overestimation of the LeadCare® analysis. A large positive bias of 19.15 ± 8.26 μg/dL and 29.25 ± 14.04 μg/dL for BLLLC compared with BLLIM were recorded in the BLLLC range of 45.0-64.9 μg/dL and for ≥65.0 μg/dL, respectively. In contrast, a bias of ≤0.3 μg/dL was observed at a BLLLC of less than 10.0 μg/dL. Blood copper, cadmium, and iron levels did not exhibit an effect on the bias of BLLLC, indicative of the minimal potential interferences of the metals; these interferences are a cause for concern with the ASV method. In conclusion, LeadCare® analysis is thought to be a good tool for screening purposes at a lower BLL around the reference level of 5 μg/dL in the initial stage; however, conversion or retesting using a laboratory analyzer is recommended at a higher BLL for appropriate clinical evaluation and research.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Bias; Bland–altman analysis; Deming regression; ICP-MS; LeadCare; Passing–bablok regression

Year:  2021        PMID: 33736222     DOI: 10.1016/j.chemosphere.2021.129832

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  2 in total

1.  How long-term metal and lead exposure among foundry workers affect COVID-19 infection outcomes in Jordan.

Authors:  Mohamed Saadh
Journal:  Environ Sci Pollut Res Int       Date:  2022-05-19       Impact factor: 5.190

2.  Lead poisoning among asymptomatic individuals with a long-term history of opiate use in Golestan Cohort Study.

Authors:  Arash Etemadi; Sanam Hariri; Hossein Hassanian-Moghaddam; Hossein Poustchi; Gholamreza Roshandel; Amaneh Shayanrad; Farin Kamangar; Paolo Boffetta; Paul Brennan; Paul I Dargan; Sanford M Dawsey; Robert L Jones; Neal D Freedman; Reza Malekzadeh; Christian C Abnet
Journal:  Int J Drug Policy       Date:  2022-04-25
  2 in total

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