NYU Dataset

Anti-DNA and Anti-Phosphatidylserine Antibodies Predicted Development of Severe COVID-19

Part of: Rodriguez Lab |
UID: 10538
* Corresponding Author
Description

This is a retrospective cohort study of COVID-19 hospitalized patients with different degrees of severity. They performed this study to analyze the generation of autoimmune antibodies to common antigens. This study included 115 hospitalized patients with SARS-CoV-2 infection and 42 uninfected controls. Sample collection was performed as part of routine clinical care for COVID-19 patients at the time of hospital admission. Assessment of SARS-CoV-2 infection was performed using nasopharyngeal swabs in clinical PCR assays. The dataset includes a summary of demographic and clinical characteristics of patients, correlation among autoantibody and immune complex levels, and correlation between autoantibodies and severity/living status of hospitalized patients. There are also data about levels of IgG autoimmune antibodies, anti-DNA antibodies from COVID-19 patients, autoantibody levels, levels of immune complex, and correlation analysis of autoantibodies.

Timeframe
2020
Geographic Coverage
New York (State) - New York City
Subject of Study
Subject Domain
Population Age
Adult (19 years - 64 years)
Senior (65 years - 79 years)
Aged (80 years and over)
Keywords

Access

Restrictions
Free to All
Instructions
De-identified data underlying manuscript figures are available for download through PubMed Central (PMC) under Supplementary Materials.
Associated Publications
Data Type
Software Used
GraphPad Prism v8.0
Study Type
Observational
Grant Support
COVID-19 Special Fund/NYU Langone Health
COVID-19 Response Initiative/Bloomberg Philanthropies