Table 2.
Predictors for complicated coronavirus disease 2019-course.
| Predictor | Odds ratio | 95% Confidence interval | p |
|---|---|---|---|
| Univariable logistic regression | |||
| Sex (female) | 0.65 | (0.52–0.80) | <0.001 |
| Age (per 5 years) | 1.36 | (1.25–1.48) | <0.001 |
| Cardiac defect complexity (severe) | 1.57 | (0.76–3.24) | 0.18 |
| BMI >25 kg/m2 | 3.28 | (1.94–5.54) | <0.001 |
| Cyanotic heart disease or ES | 7.38 | (3.69–14.77) | <0.001 |
| ≥ 2 comorbidities | 5.59 | (4.22–7.40) | <0.001 |
| COVID-19 wave (first) | 2.10 | (1.58–2.78) | <0.001 |
| Multivariable logistic regression | |||
| Sex (female) | 0.49 | (0.37–0.66) | <0.001 |
| Age (per 5 years) | 1.22 | (1.04–1.43) | 0.02 |
| Cyanotic heart disease or ES | 8.23 | (3.35–20.21) | <0.001 |
| BMI >25 kg/m2 | 2.58 | (1.19–5.61) | 0.02 |
| ≥ 2 comorbidities | 2.41 | (1.46–3.98) | 0.001 |
| COVID-19 wave (first) | 1.96 | (1.36–2.90) | <0.001 |
All statistically significant predictors of the outcome of interest in the univariable logistic regression mode were included into the multivariable model.
Total number of events: 36. BMI = body mass index; COVID-19 = coronavirus disease 2019; ES = Eisenmenger syndrome.