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. 2022 May 18;14(5):1089.
doi: 10.3390/v14051089.

Anti-SARS-CoV-2 Titers Predict the Severity of COVID-19

Affiliations

Anti-SARS-CoV-2 Titers Predict the Severity of COVID-19

Antonios Kritikos et al. Viruses. .

Abstract

Coronavirus disease 2019 (COVID-19) due to SARS-CoV-2 is associated with a wide spectrum of disease, ranging from asymptomatic infection to acute respiratory distress syndrome. Some biomarkers may predict disease severity. Among them, the anti-SARS-CoV-2 antibody response has been related to severe disease. The aim of this study was to assess the correlation between the anti-SARS-CoV-2 serological response and COVID-19 outcome. Demographic, clinical, and biological data from nasopharyngeal-PCR confirmed COVID-19 hospitalized patients were prospectively collected between April and August 2020 at our institution. All patients had serial weekly serology testing for a maximum of three blood samples or until discharge. Two different serological assays were used: a chemiluminescent assay and an in-house developed Luminex immunoassay. Kinetics of the serological response and correlation between the antibody titers and outcome were assessed. Among the 70 patients enrolled in the study, 22 required invasive ventilation, 29 required non-invasive ventilation or oxygen supplementation, and 19 did not require any oxygen supplementation. Median duration of symptoms upon admission for the three groups were 13, 8, and 9 days, respectively. Antibody titers gradually increased for up to 3 weeks since the onset of symptoms for patients requiring oxygen supplementation with significantly higher antibody titers for patients requiring invasive ventilation. Antibody titers on admission were also significantly higher in severely ill patients and serology performed well in predicting the necessity of invasive ventilation (AUC: 0.79, 95% CI: 0.67-0.9). Serology testing at admission may be a good indicator to identify severe COVID-19 patients who will require invasive mechanical ventilation.

Keywords: COVID-19; SARS-CoV-2; antibody response; disease severity; outcome; serology.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
The cumulative proportion of patients who seroconverted according to both serological methods: Luminex (red), CLIA (blue). The dotted line represents the 50% cumulative seroconversion threshold.
Figure 2
Figure 2
Trends in antibody evolution stratified by disease severity. Smooth fit curves for antibody kinetics tested with (A) Luminex and (B) CLIA.
Figure 3
Figure 3
The antibody titers at admission according to clinical stratification. Panel (A) Luminex assay, panel (B) CLIA. Scatter plot with lines at the median and whiskers showing the 95% confidence interval (CI). *** = p < 0.001, ** = p < 0.01, ns = non-significant, MFI = median fluorescence intensity.
Figure 4
Figure 4
The receiver operating curves (ROC curves) for the performance of the serology testing to predict the necessity for invasive ventilation (AUC = area under the ROC curve, 95% CI = 95% confidence interval). The marked symbols show the performances of the optimal cut-off values.

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