An Immunoassay to Rapidly Measure Acetaminophen Protein Adducts Accurately Identifies Patients With Acute Liver Injury or Failure

2017 
Background & Aims A rapid and reliable point-of-care assay to detect acetaminophen protein adducts in the serum of patients with acute liver injury could improve diagnosis and management. AcetaSTAT is a competitive immunoassay used to measure acetaminophen protein adducts formed by toxic metabolites in serum samples from patients. We compared the accuracy of AcetaSTAT vs high-pressure liquid chromatography with electrochemical detection (HPLC-EC; a sensitive and specific quantitative analytic assay) to detect acetaminophen protein adducts. Methods We collected serum samples from 19 healthy individuals (no liver injury, no recent acetaminophen use), 29 patients without acetaminophen-associated acute liver injury, and 33 patients with acetaminophen-associated acute liver injury participating in the Acute Liver Failure Study Group registry. Each serum sample was analyzed by AcetaSTAT (reported as test band amplitude) and HPLC-EC (the reference standard). We also collected data on patient age, sex, weight, level of alanine aminotransferase on test day and peak values, concentration of acetaminophen, diagnoses (by site investigator and causality review committee), and outcome after 21 days. Differences between groups were analyzed using the Fisher exact test for categoric variables and the Kruskal–Wallis test or rank-sum test for continuous variables. Results AcetaSTAT discriminated between patients with and without acetaminophen-associated acute liver injury; the median AcetaSTAT test band amplitude for patients with acetaminophen-associated acute liver injury was 584 (range, 222–1027) vs 3678 (range, 394–8289) for those without ( P Conclusions The competitive immunoassay AcetaSTAT shows a high degree of concordance with HPLC-EC results in identifying patients with acetaminophen-associated acute liver injury. This rapid and simple assay could increase early detection of this disorder and aid clinical management.
    • Correction
    • Source
    • Cite
    • Save
    • Machine Reading By IdeaReader
    25
    References
    37
    Citations
    NaN
    KQI
    []