Tables
- TABLE 1
Multivariate logistic regression model predicting coronavirus disease 2019 (COVID-19)-related outcomes
Variables Hospitalisation/death versus no COVID-19 diagnosis Confirmed COVID-19 versus no COVID-19 diagnosis Suspected COVID-19 versus no COVID-19 diagnosis OR (95% CI) p-value OR (95% CI) p-value OR (95% CI) p-value Subjects n 63 1569 3543 EMS versus firefighter 4.23 (2.20–8.15) <0.001 1.28 (1.10–1.49) 0.001 1.07 (0.96–1.20) 0.228 FEV1 decline per 100 mL·year−1 1.70 (1.12–2.59) 0.012 0.93 (0.81–1.06) 0.265 1.01 (0.92–1.11) 0.803 Ever-smoker 0.46 (0.25–0.86) 0.014 0.99 (0.88–1.12) 0.920 1.14 (1.04–1.24) 0.005 Age per 10 years 1.59 (1.20–2.10) 0.001 0.79 (0.74–0.84) <0.001 0.68 (0.65–0.71) <0.001 Male sex 1.55 (0.60–4.02) 0.365 1.12 (0.88–1.44) 0.355 1.07 (0.90–1.29) 0.438 Non-white race 2.46 (1.34–4.51) 0.004 1.21 (1.06–1.38) 0.004 1.24 (1.13–1.37) <0.001 BMI 1.09 (1.05–1.13) <0.001 1.02 (1.00–1.03) 0.029 1.00 (0.99–1.01) 0.665 Blood glucose mmol·L−1 1.13 (1.02–1.25) 0.015 0.95 (0.89–1.01) 0.093 1.01 (0.97–1.05) 0.626 HDL cholesterol mmol·L−1 0.38 (0.15–0.97) 0.042 1.11 (0.94–1.30) 0.222 0.95 (0.84–1.07) 0.359 n=13 879 due to missing covariates. Model adjusted for first forced expiratory volume in 1 s (FEV1) measurement after hire date. Between 1 March 2020 and 31 May 2020. OR: odds ratio; EMS: emergency medical service providers; BMI: body mass index; HDL: high-density lipoprotein.