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Table 5 Factors related to colostrum positivity. Results from three univariable logistic regression models to identify significant predictors of immunoglobulin positivity in colostrum among a) symptoms, b) interval from disease to sample, and c) active disease at birth

From: Anti-SARS-CoV-2-specific antibodies in human breast milk following SARS-CoV-2 infection during pregnancy: a prospective cohort study

Predictors of antibody positivity in colostrum

IgA (n = 158)

IgG (n = 160)

IgM (n = 76)

Odds Ratio (95% Confidence interval)

Odds Ratio (95% Confidence interval)

Odds Ratio (95% Confidence interval)

Asymptomatic (n = 40, 42, 13)

Reference

Reference

Reference

Mild (n = 102, 104, 62)

1.27 (0.50, 3.04)

1.22 (0.15, 25.01)

0.80 (0.21, 3.97)

Severe (n = 16, 14, 1)

4.35 (0.72, 84.10)

3.15 (0.12; 83.62)

NA

Interval from disease to sample – colostrum (days)

1.00 (0.99, 1.00)

1.00 (0.98, 1.01)

1.00 (0.99, 1.00)

No active disease (n = 133, 136, 67)

Reference

Reference

Reference

Active disease (n = 25, 24, 9)

0.51 (0.20, 1.44)

1.43 (0.07, 10.25)

1.19 (0.16, 5.63)

  1. Ig Immunoglobulin, Adjusted analyses were not possible due to small numbers. Numbers between parentheses are referring to the sample size of each stratum. For example, in the first line "(n = 40, 42, 13)" means that in the IgA model there were 40 asymptomatic women, in the IgG model 42 and in the IgM model 13