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Antikörpertests bei COVID-19 - Was uns die Ergebnisse sagen
INTRODUCTION: In the context of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic, the detection of virus-specific antibodies (AB) will play an increasing role. The presence or absence of such antibodies can potentially lead to considerations regarding immunity and infection....
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Urban & Fischer
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7225716/ https://www.ncbi.nlm.nih.gov/pubmed/32419875 http://dx.doi.org/10.1016/j.zefq.2020.05.005 |
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author | Horvath, Karl Semlitsch, Thomas Jeitler, Klaus Krause, Robert Siebenhofer, Andrea |
author_facet | Horvath, Karl Semlitsch, Thomas Jeitler, Klaus Krause, Robert Siebenhofer, Andrea |
author_sort | Horvath, Karl |
collection | PubMed |
description | INTRODUCTION: In the context of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic, the detection of virus-specific antibodies (AB) will play an increasing role. The presence or absence of such antibodies can potentially lead to considerations regarding immunity and infection. ISSUE: How reliable are inferences from positive or negative test results regarding the actual presence of SARS-CoV-2 specific antibodies? METHODS: Calculation of the probability that, depending on the pretest probability (prevalence of SARS-CoV-2 infection) and test properties, antibodies are present or absent in the case of positive or negative test results. RESULTS: Sensitivity and specificity of different SARS-CoV-2 AB test systems vary between 53 % and 94 % and between 91 % and 99.5 %, respectively. When using a test with high test quality, the positive predictive value (PPV) is 42 % and 7 9%, respectively, with a pre-test probability of 1 % to 5 %, as can currently be assumed for the general population in Austria or Germany. For persons with an increased pre-test probability of 20 %, e. g. persons from high-risk professions, the PPW is 95 %, with a pre-test probability of 80 % the PPW is almost 100 %. The negative predictive value (NPV) is at least 99.7 % for persons with a low pre-test probability of up to 5 % and 79.1 % for persons with a pre-test probability of 80 %. When using test systems with lower sensitivity and specificity, the reliability of the results decreases considerably. The PPV is 5.9 % with a pre-test probability of 1 %. CONCLUSIONS: A sufficiently high sensitivity and specificity are prerequisites for the application of antibody test systems. Positive test results are often false if the pre-test probability is low. Depending on the assumed prevalence of a SARS-CoV-2 infection, there are substantial differences in the significance of a concrete test result for the respective affected persons. |
format | Online Article Text |
id | pubmed-7225716 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier Urban & Fischer |
record_format | MEDLINE/PubMed |
spelling | pubmed-72257162020-05-15 Antikörpertests bei COVID-19 - Was uns die Ergebnisse sagen Horvath, Karl Semlitsch, Thomas Jeitler, Klaus Krause, Robert Siebenhofer, Andrea Z Evid Fortbild Qual Gesundhwes Article INTRODUCTION: In the context of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic, the detection of virus-specific antibodies (AB) will play an increasing role. The presence or absence of such antibodies can potentially lead to considerations regarding immunity and infection. ISSUE: How reliable are inferences from positive or negative test results regarding the actual presence of SARS-CoV-2 specific antibodies? METHODS: Calculation of the probability that, depending on the pretest probability (prevalence of SARS-CoV-2 infection) and test properties, antibodies are present or absent in the case of positive or negative test results. RESULTS: Sensitivity and specificity of different SARS-CoV-2 AB test systems vary between 53 % and 94 % and between 91 % and 99.5 %, respectively. When using a test with high test quality, the positive predictive value (PPV) is 42 % and 7 9%, respectively, with a pre-test probability of 1 % to 5 %, as can currently be assumed for the general population in Austria or Germany. For persons with an increased pre-test probability of 20 %, e. g. persons from high-risk professions, the PPW is 95 %, with a pre-test probability of 80 % the PPW is almost 100 %. The negative predictive value (NPV) is at least 99.7 % for persons with a low pre-test probability of up to 5 % and 79.1 % for persons with a pre-test probability of 80 %. When using test systems with lower sensitivity and specificity, the reliability of the results decreases considerably. The PPV is 5.9 % with a pre-test probability of 1 %. CONCLUSIONS: A sufficiently high sensitivity and specificity are prerequisites for the application of antibody test systems. Positive test results are often false if the pre-test probability is low. Depending on the assumed prevalence of a SARS-CoV-2 infection, there are substantial differences in the significance of a concrete test result for the respective affected persons. Elsevier Urban & Fischer 2020-08 2020-05-15 /pmc/articles/PMC7225716/ /pubmed/32419875 http://dx.doi.org/10.1016/j.zefq.2020.05.005 Text en . Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Horvath, Karl Semlitsch, Thomas Jeitler, Klaus Krause, Robert Siebenhofer, Andrea Antikörpertests bei COVID-19 - Was uns die Ergebnisse sagen |
title | Antikörpertests bei COVID-19 - Was uns die Ergebnisse sagen |
title_full | Antikörpertests bei COVID-19 - Was uns die Ergebnisse sagen |
title_fullStr | Antikörpertests bei COVID-19 - Was uns die Ergebnisse sagen |
title_full_unstemmed | Antikörpertests bei COVID-19 - Was uns die Ergebnisse sagen |
title_short | Antikörpertests bei COVID-19 - Was uns die Ergebnisse sagen |
title_sort | antikörpertests bei covid-19 - was uns die ergebnisse sagen |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7225716/ https://www.ncbi.nlm.nih.gov/pubmed/32419875 http://dx.doi.org/10.1016/j.zefq.2020.05.005 |
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