Table 1.
Non-COVID-19 patients (training dataset) | COVID-19 patients (test dataset) | |
---|---|---|
n | 718 | 1054 |
Deceased | 245 (34%) | 369 (35%) |
Age [a] | 62.0 (50.0–73.0) | 67.0 (57.0–77.0) |
Sex | 282 female (39%) | 333 female (32%) |
BMI [kg/m2] | 25.7 (22.3–29.6) | 27.8 (24.7–32.7) |
Asthma | 18 (3%) | 51 (5%) |
Carcinoma | 171 (24%) | 67 (6%) |
Cardiovascular diseases | 370 (52%) | 444 (42%) |
COPD | 204 (28%) | 142 (13%) |
Coronary heart disease | 152 (21%) | 217 (21%) |
Diabetes | 340 (47%) | 462 (44%) |
Hypertension | 402 (56%) | 690 (65%) |
Chronic kidney diseases | 179 (25%) | 194 (18%) |
Lung diseases | 267 (37%) | 229 (22%) |
Malnutrition | 201 (28%) | 182 (17%) |
Metabolic disorders | 477 (66%) | 608 (58%) |
Obesity | 85 (12%) | 129 (12%) |
Pulmonary fibrosis | 59 (8%) | 54 (5%) |
Pulmonary hypertension | 320 (45%) | 340 (32%) |
Stroke | 85 (12%) | 142 (13%) |
The table shows descriptive statistics of the non-COVID-19 patient training dataset and the COVID-19 patients test dataset (median (IQR) for continuous variables; n cases (percentage of group total) for binary variables).