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Volume 27, Number 9—September 2021
Dispatch

Predictors of Nonseroconversion after SARS-CoV-2 Infection

Weimin Liu1, Ronnie M. Russell1, Frederic Bibollet-Ruche1, Ashwin N. Skelly1, Scott Sherrill-Mix1, Drew A. Freeman1, Regina Stoltz, Emily Lindemuth, Fang-Hua Lee, Sarah Sterrett, Katharine J. Bar, Nathaniel Erdmann, Sigrid Gouma, Scott E. Hensley, Thomas Ketas, Albert Cupo, Victor M. Cruz Portillo, John P. Moore, Paul D. Bieniasz, Theodora Hatziioannou, Greer Massey, Mary-Beth Minyard2, Michael S. Saag, Randall S. Davis, George M. Shaw, William J. Britt, Sixto M. Leal, Paul Goepfert, and Beatrice H. HahnComments to Author 
Author affiliations: University of Pennsylvania, Philadelphia, Pennsylvania, USA (W. Liu, R.M. Russell, F. Bibollet-Ruche, A.N. Skelly, S. Sherrill-Mix, R. Stoltz, E. Lindemuth, F.-H. Lee, K.J. Bar, S. Gouma, S.E. Hensley, G.M. Shaw, B.H. Hahn); The University of Alabama at Birmingham, Birmingham, Alabama, USA (D.A. Freeman, S. Sterrett, N. Erdmann, M.S. Saag, R.S. Davis, W.J. Britt, S.M. Leal Jr., P. Goepfert); Weill Cornell Medicine, New York, New York, USA (T. Ketas, A. Cupo, V.M. Cruz Portillo, J.P. Moore); Howard Hughes Medical Institute, New York (P.D. Bieniasz); The Rockefeller University, New York (P.D. Bieniasz, T. Hatziioannou); Assurance Scientific, Vestavia, Alabama, USA (G. Massey, M.-B. Minyard)

Main Article

Figure 2

Decreasing probability of SARS-CoV-2 seroconversion with increasing RT-PCR Ct values among persons recovered from SARS-CoV-2 infection. Participants were a convenience sample of convalescent SARS-CoV-2–infected persons recruited at the University of Alabama at Birmingham, Birmingham, Alabama, USA, 2020. The number of serologic responders (red bars) and nonresponders (blue bars) is shown for varying RT-PCR Ct values. A logistic regression was used to estimate the probability of seroconversion for a given Ct (line) and its 95% CI (shaded). Ct, cycle threshold; RT-PCR, reverse transcription PCR; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.

Figure 2. Decreasing probability of SARS-CoV-2 seroconversion with increasing RT-PCR Ct values among persons recovered from SARS-CoV-2 infection. Participants were a convenience sample of convalescent SARS-CoV-2–infected persons recruited at the University of Alabama at Birmingham, Birmingham, Alabama, USA, 2020. The number of serologic responders (red bars) and nonresponders (blue bars) is shown for varying RT-PCR Ct values. A logistic regression was used to estimate the probability of seroconversion for a given Ct (line) and its 95% CI (shaded). Ct, cycle threshold; RT-PCR, reverse transcription PCR; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.

Main Article

1These first authors contributed equally to this article.

2Current affiliation: MBMicrobio Labs, Birmingham, Alabama, USA.

Page created: June 30, 2021
Page updated: August 18, 2021
Page reviewed: August 18, 2021
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