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SARS-CoV-2 Antibody Responses Do Not Predict COVID-19 Disease Severity.
Phipps, William S; SoRelle, Jeffrey A; Li, Quan-Zhen; Mahimainathan, Lenin; Araj, Ellen; Markantonis, John; Lacelle, Chantale; Balani, Jyoti; Parikh, Hiren; Solow, E Blair; Karp, David R; Sarode, Ravi; Muthukumar, Alagarraju.
  • Phipps WS; Department of Pathology, University of Texas Southwestern Medical Center, Dallas.
  • SoRelle JA; Department of Pathology, University of Texas Southwestern Medical Center, Dallas.
  • Li QZ; Department of Internal Medicine (Rheumatic Diseases), University of Texas Southwestern Medical Center, Dallas.
  • Mahimainathan L; Department of Immunology, Microarray Core Facility, University of Texas Southwestern Medical Center, Dallas.
  • Araj E; Department of Pathology, University of Texas Southwestern Medical Center, Dallas.
  • Markantonis J; Department of Pathology, University of Texas Southwestern Medical Center, Dallas.
  • Lacelle C; Department of Pathology, University of Texas Southwestern Medical Center, Dallas.
  • Balani J; Department of Pathology, University of Texas Southwestern Medical Center, Dallas.
  • Parikh H; Department of Pathology, University of Texas Southwestern Medical Center, Dallas.
  • Solow EB; Department of Pathology, University of Texas Southwestern Medical Center, Dallas.
  • Karp DR; Department of Internal Medicine (Rheumatic Diseases), University of Texas Southwestern Medical Center, Dallas.
  • Sarode R; Department of Internal Medicine (Rheumatic Diseases), University of Texas Southwestern Medical Center, Dallas.
  • Muthukumar A; Department of Pathology, University of Texas Southwestern Medical Center, Dallas.
Am J Clin Pathol ; 154(4): 459-465, 2020 09 08.
Article in English | MEDLINE | ID: covidwho-646825
Preprint
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ABSTRACT

OBJECTIVES:

Initial reports indicate adequate performance of some serology-based severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) assays. However, additional studies are required to facilitate interpretation of results, including how antibody levels impact immunity and disease course.

METHODS:

A total of 967 subjects were tested for IgG antibodies reactive to SARS-CoV-2, including 172 suspected cases of SARS-CoV-2, 656 plasma samples from healthy donors, 49 sera from patients with rheumatic disease, and 90 specimens from individuals positive for polymerase chain reaction (PCR)-based respiratory viral panel. A subgroup of SARS-CoV-2 PCR-positive cases was tested for IgM antibodies by proteome array method.

RESULTS:

All specificity and cross-reactivity specimens were negative for SARS-CoV-2 IgG antibodies (0/795, 0%). Positive agreement of IgG with PCR was 83% of samples confirmed to be more than 14 days from symptom onset, with less than 100% sensitivity attributable to a case with severe immunosuppression. Virus-specific IgM was positive in a higher proportion of cases less than 3 days from symptom onset. No association was observed between mild and severe disease course with respect to IgG and IgM levels.

CONCLUSIONS:

The studied SARS-CoV-2 IgG assay had 100% specificity and no adverse cross-reactivity. Measures of IgG and IgM antibodies did not predict disease severity in our patient population.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Severity of Illness Index / Immunoglobulin G / Coronavirus Infections / Clinical Laboratory Techniques / Betacoronavirus / Antibodies, Viral Type of study: Diagnostic study / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: Am J Clin Pathol Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Severity of Illness Index / Immunoglobulin G / Coronavirus Infections / Clinical Laboratory Techniques / Betacoronavirus / Antibodies, Viral Type of study: Diagnostic study / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: Am J Clin Pathol Year: 2020 Document Type: Article