TABLE 1

Multivariate logistic regression model predicting coronavirus disease 2019 (COVID-19)-related outcomes

VariablesHospitalisation/death versus no COVID-19 diagnosisConfirmed COVID-19 versus no COVID-19 diagnosisSuspected COVID-19 versus no COVID-19 diagnosis
OR (95% CI)p-valueOR (95% CI)p-valueOR (95% CI)p-value
Subjects n6315693543
EMS versus firefighter4.23 (2.20–8.15)<0.0011.28 (1.10–1.49)0.0011.07 (0.96–1.20)0.228
FEV1 decline per 100 mL·year−11.70 (1.12–2.59)0.0120.93 (0.81–1.06)0.2651.01 (0.92–1.11)0.803
Ever-smoker0.46 (0.25–0.86)0.0140.99 (0.88–1.12)0.9201.14 (1.04–1.24)0.005
Age per 10 years1.59 (1.20–2.10)0.0010.79 (0.74–0.84)<0.0010.68 (0.65–0.71)<0.001
Male sex1.55 (0.60–4.02)0.3651.12 (0.88–1.44)0.3551.07 (0.90–1.29)0.438
Non-white race2.46 (1.34–4.51)0.0041.21 (1.06–1.38)0.0041.24 (1.13–1.37)<0.001
BMI1.09 (1.05–1.13)<0.0011.02 (1.00–1.03)0.0291.00 (0.99–1.01)0.665
Blood glucose mmol·L−11.13 (1.02–1.25)0.0150.95 (0.89–1.01)0.0931.01 (0.97–1.05)0.626
HDL cholesterol mmol·L−10.38 (0.15–0.97)0.0421.11 (0.94–1.30)0.2220.95 (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.