Table 3 Multivariable logistic regression models on presence of Symptoms Categoires (SC) at follow-up visit
From: A multidisciplinary approach to screen the post-COVID-19 conditions
Model A: N = 331 | Odds ratio (95% CI) | P-value |
|---|---|---|
Male (vs Female) | 3.23 (1.46–7.15) | 0.004 |
Age (by 1 year) | 1.01 (0.99–1.04) | 0.340 |
BMI (by 1 unit) | 1.12 (1.04–1.21) | 0.005 |
ICU admission (vs No) | 2.78 (1.29–5.96) | 0.009 |
Presence of comorbidities (vs No) | 1.35 (0.65–2.80) | 0.420 |
Time between discharge and follow-up visit (by 1 day) | 1.00 (0.99–1.00) | 0.676 |
Presence of disorders at discharge vs No | 14.39 (6.41–32.32) |  < 0.001 |
Model B: N = 331 | Odds ratio (95% CI) | P-value |
|---|---|---|
Male (vs Female) | 3.29 (1.48–7.29) | 0.003 |
Age (by 1 year) | 1.01 (0.98–1.04) | 0.404 |
BMI overweight (vs normal weighted) | 1.85 (0.89–3.84) | 0.098 |
BMI obese (vs normal weighted) | 3.32 (1.41–7.83) | 0.006 |
ICU admission (vs No) | 2.81 (1.31–6.04) | 0.008 |
Presence of comorbidities (vs No) | 1.39 (0.67–2.88) | 0.374 |
Time between discharge and follow-up visit (by 1 day) | 0.99 (0.99–1.00) | 0.687 |
Presence of disorders at discharge vs No | 14.13 (6.33–31.53) |  < 0.001 |