PropertyValue
?:abstract
  • Objective: COVID-19 pandemia still continues to threaten the whole world High dose ascorbic acid (AA) infusion is a choice of treatment and its efficiency is still being investigated AA interferes with many clinical chemistry tests However, data about the interference of high concentrations of AA is not sufficient In this study, we aimed to investigate the interference of AA at high concentrations on commonly used chemistry assays Materials and Methods: Serum samples at AA concentrations of 200, 150, 100, 75, 50, 25, 10, 5, 2 and 0 mg/dL were prepared by using the stock solution of 15000 mg/dL AA Each sample was analyzed by using the most common 30 chemistry tests (Abbott Architect C8000, Illinois, USA) and a POCT glucometer (STANDARD GlucoNavii, Gyeonggi-do, Republic of Korea) Results: Creatinine, sodium and glucose (POCT) tests were found to be positively interfered by increasing AA concentrations;while direct bilirubin, lipase, UIBC, triglyceride, total cholesterol, HDL/LDL cholesterol tests were negatively interfered Absolute interference (%) increased as the AA concentration increased Conclusion: This is the largest and first study to investigate the interference of high dose AA, which is used in severe COVID-19 patients nowadays Manufacturers and clinicians should be aware of the possibility of aberrant results due to high dose AA infusion Clinicians should not forget to consult a laboratory specialist, since he is the only person to monitor the reactions in all assays, and know the technical subjects like interferences, assay method specifications This issue is very important for correct decision-making and interpretation of the data-mining studies accurately and efficiently
?:creator
?:journal
  • Turkish_Journal_of_Biochemistry-Turk_Biyokimya_Dergisi
?:license
  • unk
?:publication_isRelatedTo_Disease
is ?:relation_isRelatedTo_publication of
?:source
  • WHO
?:title
  • High dose ascorbic acid treatment in COVID-19 patients raised some problems in clinical chemistry testing
?:type
?:who_covidence_id
  • #918012
?:year
  • 2020

Metadata

Anon_0  
expand all