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. 2021 Jun 23;27(9):1607–1613. doi: 10.1038/s41591-021-01433-3

Table 3.

Factors associated with increasing convalescent antibody titers in COVID-19

Geometric mean ratio (CI) P
n (%) Unadjusted Adjusted
Total 312 (100%)
Female sex 160 (51%) 0.63 (0.41–0.97) 0.036 0.81 (0.56–1.18) 0.276
Older age (by 10-year intervals) 1.50 (1.35–1.67) <0.001 1.23 (1.09–1.38) <0.001
BMI 1.17 (1.12–1.23) <0.001 1.05 (1.00–1.11) 0.035
Comorbidity
Asthma/COPD 38 (12%) 1.70 (0.88–3.28) 0.111
Hypertension 35 (11%) 5.43 (2.82–10.46) <0.001 1.74 (0.89–3.43) 0.108
Chronic heart disease 22 (7%) 4.68 (2.06–10.64) <0.001 0.94 (0.41–2.16) 0.891
Rheumatic disease 20 (6%) 1.67 (0.70–4.01) 0.249
Diabetes 13 (4%) 3.57 (1.23–10.37) 0.020 1.47 (0.59–3.71) 0.409
Immunosuppression 11 (4%) 1.51 (0.47–4.83) 0.488
Current or prior smoker 96 (31%) 1.57 (0.99–2.50) 0.055
Severity of initial illness 2.12 (1.82–2.48) <0.001 1.67 (1.34–2.07) <0.001
Days in hospital 1.10 (1.07–1.13) <0.001 1.01 (0.97–1.04) 0.679

Associated factors were analyzed by linear regression with log-transformed antibody titers as response variables and reported as geometric mean ratios with 95% confidence intervals (CIs) and P values. Factors with significance level P < 0.1 in univariable analysis were included in the multivariable analyses. For factors with significance level P < 0.05, the P values are shown in bold.