Articles producció científica> Medicina i Cirurgia

Clinical performance of the Elecsys (R) anti-SARS-CoV-2 combined in an algorithm with two specific anti-IgG immunoassays for the evaluation of the serological response of patients with COVID-19 in a population with a high prevalence of infection

  • Identification data

    Identifier: imarina:9226192
    Authors:
    Gabaldó-Barrios, XIftimie, SHernández-Aguilera, APujol, IBallester, FFernández, LCladellas, SCastro, AJoven, JCamps, JSimó, JM
    Abstract:
    Background Anti-SARS-CoV-2 antibodies have been used in the study of the immune response in infected patients. However, differences in sensitivity and specificity have been reported, depending on the method of analysis. The aim of the present study was to evaluate the diagnostic accuracy of an algorithm in which a high-throughput automated assay for total antibodies was used for screening and two semi-automated IgG-specific methods were used to confirm the results, and also to correlate the analytical results with the clinical data and the time elapsed since infection. Methods We studied 306 patients, some hospitalized and some outpatients, belonging to a population with a high prevalence of COVID-19. One-hundred and ten patients were classified as SARS-CoV-2 negative and 196 as positive by polymerase chain reaction. Results The algorithm and automated assay alone had a specificity and a positive predictive value of 100%, although the sensitivity and negative predictive value of the algorithm was higher. Both methods showed a good sensitivity from day 11 of the onset of symptoms in asymptomatic and symptomatic patients. The absorbance of the total antibodies was significantly higher in severely symptomatic than in asymptomatic or mildly symptomatic patients, which suggests the antibody level was higher. We found 15 patients who did not present seroconversion at 12 days from the onset of symptoms or the first polymerase chain reaction test. Conclusion This study highlights the proper functioning of algorithms in the diagnosis of the immune response to COVID-19, which can help to define testing strategies against this disease.
  • Others:

    Author, as appears in the article.: Gabaldó-Barrios, X; Iftimie, S; Hernández-Aguilera, A; Pujol, I; Ballester, F; Fernández, L; Cladellas, S; Castro, A; Joven, J; Camps, J; Simó, JM
    Department: Medicina i Cirurgia Ciències Mèdiques Bàsiques
    URV's Author/s: Ballester Bastardie, Frederic / Camps Andreu, Jorge / Castro Salomó, Antoni / Iftimie Iftimie, Simona Mihaela / Joven Maried, Jorge / Pujol Bajador, Isabel
    Keywords: Serology Sars-cov-2 Laboratory automation Diagnostic accuracy Covid-19 Assays Antibodies
    Abstract: Background Anti-SARS-CoV-2 antibodies have been used in the study of the immune response in infected patients. However, differences in sensitivity and specificity have been reported, depending on the method of analysis. The aim of the present study was to evaluate the diagnostic accuracy of an algorithm in which a high-throughput automated assay for total antibodies was used for screening and two semi-automated IgG-specific methods were used to confirm the results, and also to correlate the analytical results with the clinical data and the time elapsed since infection. Methods We studied 306 patients, some hospitalized and some outpatients, belonging to a population with a high prevalence of COVID-19. One-hundred and ten patients were classified as SARS-CoV-2 negative and 196 as positive by polymerase chain reaction. Results The algorithm and automated assay alone had a specificity and a positive predictive value of 100%, although the sensitivity and negative predictive value of the algorithm was higher. Both methods showed a good sensitivity from day 11 of the onset of symptoms in asymptomatic and symptomatic patients. The absorbance of the total antibodies was significantly higher in severely symptomatic than in asymptomatic or mildly symptomatic patients, which suggests the antibody level was higher. We found 15 patients who did not present seroconversion at 12 days from the onset of symptoms or the first polymerase chain reaction test. Conclusion This study highlights the proper functioning of algorithms in the diagnosis of the immune response to COVID-19, which can help to define testing strategies against this disease.
    Thematic Areas: Química Medicine (miscellaneous) Medicina i Medical laboratory technology General medicine Farmacia Clinical biochemistry Biochemistry & molecular biology
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: simonamihaela.iftime@urv.cat jorge.camps@urv.cat jorge.joven@urv.cat antoni.castro@urv.cat isabel.pujol@urv.cat frederic.ballester@estudiants.urv.cat
    Author identifier: 0000-0003-0714-8414 0000-0002-3165-3640 0000-0003-2749-4541 0000-0001-5441-6333
    Record's date: 2024-07-27
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://journals.sagepub.com/action/doSearch?target=default&ContribAuthorStored=Hern%C3%A1ndez-Aguilera%2C+Anna
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Annals Of Clinical Biochemistry. 58 (6): 614-621
    APA: Gabaldó-Barrios, X; Iftimie, S; Hernández-Aguilera, A; Pujol, I; Ballester, F; Fernández, L; Cladellas, S; Castro, A; Joven, J; Camps, J; Simó, JM (2021). Clinical performance of the Elecsys (R) anti-SARS-CoV-2 combined in an algorithm with two specific anti-IgG immunoassays for the evaluation of the serological response of patients with COVID-19 in a population with a high prevalence of infection. Annals Of Clinical Biochemistry, 58(6), 614-621. DOI: 10.1177/00045632211038038
    Article's DOI: 10.1177/00045632211038038
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2021
    Publication Type: Journal Publications
  • Keywords:

    Biochemistry & Molecular Biology,Clinical Biochemistry,Medical Laboratory Technology,Medicine (Miscellaneous)
    Serology
    Sars-cov-2
    Laboratory automation
    Diagnostic accuracy
    Covid-19
    Assays
    Antibodies
    Química
    Medicine (miscellaneous)
    Medicina i
    Medical laboratory technology
    General medicine
    Farmacia
    Clinical biochemistry
    Biochemistry & molecular biology
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