The role and diagnostic accuracy of serology for COVID-19.


Journal

BMC infectious diseases
ISSN: 1471-2334
Titre abrégé: BMC Infect Dis
Pays: England
ID NLM: 100968551

Informations de publication

Date de publication:
19 Apr 2022
Historique:
received: 05 12 2021
accepted: 25 03 2022
entrez: 20 4 2022
pubmed: 21 4 2022
medline: 22 4 2022
Statut: epublish

Résumé

The role and performance of various serological tests for the diagnosis of COVID-19 are unclear. This study aimed to evaluate the performance of seven commercially available serological assays for SARS-CoV-2 antibodies by testing COVID-19 cases and controls. Adult patients with fever for > 5 days, admitted to a tertiary-care teaching hospital in South India, were enrolled prospectively between June and December 2020. SARS-CoV-2 RT-PCR confirmed patients were classified as cases, and patients with febrile illness with laboratory-confirmed alternative diagnosis and healthy participants were controls. All participants were tested with SCoV-2 Detect™ IgM ELISA kit and SCoV-2 Detect™ IgG ELISA kit (InBios International, Seattle, USA) (Inbios), SARS-CoV-2 Total and SARS-CoV-2 IgG (Siemens Healthcare Diagnostics Inc., Tarrytown, USA) (Siemens), Roche Elecsys® Anti-SARS-CoV-2 (Roche Diagnostics, Rotkreuz, Switzerland) (Roche), Abbott SARS-CoV-2 IgG (Abbott Diagnostics, IL, USA) (Abbott), and Liaison® SARS-CoV-2 S1/S2 IgG (DiaSorinS.p.A., Saluggia, Italy) (Liaison). The sensitivities, specificities, positive predictive values (PPV), negative predictive values (NPV), and accuracies were compared. There were 303 participants: 153 cases and 150 controls. ELISA detecting anti-S protein antibody was more sensitive (88.9% for IgG and 86.3% for IgM) than the CLIAs (82.4% for total antibodies and 76.5-85.6% for IgG). Among CLIAs, Roche IgG was most sensitive (85.6%) followed by Abbott (83%) and Liaison (83%). Abbot had the best PPV (88.8%) and was more specific (89.3%) than Liaison (82%) and Roche (82%). Siemens IgG was less sensitive (76.5%) than Siemens Total (82.4%). The specificity of all the serological assays was modest (75-90%). Antibody test positivity increased with the duration of illness reaching 90% after 10 days of illness. When cases were compared against pre-pandemic controls, the IgG gave excellent specificity (98-100%). For seroprevalence studies, InBios IgG had the best accuracy (90.8%) with 88.9% sensitivity and 97.6% specificity. The serological assays are important adjuncts for the diagnosis of COVID-19 in patients with persistent symptoms, especially in the second week of illness. The value of serological diagnostic tests is limited in the first week of illness and they provide additional value in seroprevalence studies. The diagnostic accuracy of the ELISA and CLIA platforms were comparable.

Sections du résumé

BACKGROUND BACKGROUND
The role and performance of various serological tests for the diagnosis of COVID-19 are unclear. This study aimed to evaluate the performance of seven commercially available serological assays for SARS-CoV-2 antibodies by testing COVID-19 cases and controls.
METHODS METHODS
Adult patients with fever for > 5 days, admitted to a tertiary-care teaching hospital in South India, were enrolled prospectively between June and December 2020. SARS-CoV-2 RT-PCR confirmed patients were classified as cases, and patients with febrile illness with laboratory-confirmed alternative diagnosis and healthy participants were controls. All participants were tested with SCoV-2 Detect™ IgM ELISA kit and SCoV-2 Detect™ IgG ELISA kit (InBios International, Seattle, USA) (Inbios), SARS-CoV-2 Total and SARS-CoV-2 IgG (Siemens Healthcare Diagnostics Inc., Tarrytown, USA) (Siemens), Roche Elecsys® Anti-SARS-CoV-2 (Roche Diagnostics, Rotkreuz, Switzerland) (Roche), Abbott SARS-CoV-2 IgG (Abbott Diagnostics, IL, USA) (Abbott), and Liaison® SARS-CoV-2 S1/S2 IgG (DiaSorinS.p.A., Saluggia, Italy) (Liaison). The sensitivities, specificities, positive predictive values (PPV), negative predictive values (NPV), and accuracies were compared.
RESULTS RESULTS
There were 303 participants: 153 cases and 150 controls. ELISA detecting anti-S protein antibody was more sensitive (88.9% for IgG and 86.3% for IgM) than the CLIAs (82.4% for total antibodies and 76.5-85.6% for IgG). Among CLIAs, Roche IgG was most sensitive (85.6%) followed by Abbott (83%) and Liaison (83%). Abbot had the best PPV (88.8%) and was more specific (89.3%) than Liaison (82%) and Roche (82%). Siemens IgG was less sensitive (76.5%) than Siemens Total (82.4%). The specificity of all the serological assays was modest (75-90%). Antibody test positivity increased with the duration of illness reaching 90% after 10 days of illness. When cases were compared against pre-pandemic controls, the IgG gave excellent specificity (98-100%). For seroprevalence studies, InBios IgG had the best accuracy (90.8%) with 88.9% sensitivity and 97.6% specificity.
CONCLUSION CONCLUSIONS
The serological assays are important adjuncts for the diagnosis of COVID-19 in patients with persistent symptoms, especially in the second week of illness. The value of serological diagnostic tests is limited in the first week of illness and they provide additional value in seroprevalence studies. The diagnostic accuracy of the ELISA and CLIA platforms were comparable.

Identifiants

pubmed: 35439957
doi: 10.1186/s12879-022-07361-y
pii: 10.1186/s12879-022-07361-y
pmc: PMC9017961
doi:

Substances chimiques

Antibodies, Viral 0
Immunoglobulin G 0
Immunoglobulin M 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

390

Subventions

Organisme : The Wellcome Trust DBT India Alliance
ID : IA/CPHS/16/1/502679

Informations de copyright

© 2022. The Author(s).

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Auteurs

Debasree Kundu (D)

Department of Infectious Diseases, Christian Medical College, Vellore, 632004, Tamil Nadu, India.

Priyanka Gautam (P)

Department of Infectious Diseases, Christian Medical College, Vellore, 632004, Tamil Nadu, India.

Divya Dayanand (D)

Department of Infectious Diseases, Christian Medical College, Vellore, 632004, Tamil Nadu, India.

Karthik Gunasekaran (K)

Department of Medicine, Christian Medical College, Vellore, Tamil Nadu, India.

Abi Manesh (A)

Department of Infectious Diseases, Christian Medical College, Vellore, 632004, Tamil Nadu, India.

Merylin Sebastian (M)

Department of Infectious Diseases, Christian Medical College, Vellore, 632004, Tamil Nadu, India.

Kundavaram P P Abhilash (KPP)

Department of Emergency Medicine, Christian Medical College, Vellore, Tamil Nadu, India.

Anand Zachariah (A)

Department of Medicine, Christian Medical College, Vellore, Tamil Nadu, India.

Tina George (T)

Department of Medicine, Christian Medical College, Vellore, Tamil Nadu, India.

Sowmya Sathyendra (S)

Department of Medicine, Christian Medical College, Vellore, Tamil Nadu, India.

Samuel G Hansdak (SG)

Department of Medicine, Christian Medical College, Vellore, Tamil Nadu, India.

O C Abraham (OC)

Department of Medicine, Christian Medical College, Vellore, Tamil Nadu, India.

Ramya Iyadurai (R)

Department of Medicine, Christian Medical College, Vellore, Tamil Nadu, India.

Balamugesh Thangakunam (B)

Department of Pulmonary Medicine, Christian Medical College, Vellore, Tamil Nadu, India.

Richa Gupta (R)

Department of Respiratory Medicine, Christian Medical College, Vellore, Tamil Nadu, India.

Rajiv Karthik (R)

Department of Infectious Diseases, Christian Medical College, Vellore, 632004, Tamil Nadu, India.

Mahesh Moorthy (M)

Department of Clinical Virology, Christian Medical College, Vellore, Tamil Nadu, India. maheshmoorthy@cmcvellore.ac.in.

George M Varghese (GM)

Department of Infectious Diseases, Christian Medical College, Vellore, 632004, Tamil Nadu, India. georgemvarghese@hotmail.com.

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