Table 1 Variables included in the prognostic model are shown for the derivation cohort
From: Development of a prognostic model of COVID-19 severity: a population-based cohort study in Iceland
Predictor | Derivation cohort n = 4756 Median and interquartile range for continuous or n and % for categorical variables (n missing and %) |
|---|---|
Age, years | 40, 28–54 (0, 0%) |
Sex, male | 2455, 51.6% (0, 0%) |
Body mass index | 26.0, 23.1–29.45 (1,441, 30.3%) |
Current smoking | 395, 9.1% (494, 8.5%) |
Diabetes | 136, 3.0% (242, 5.1%) |
Hypertension | 569, 12.6% (225, 0.7%) |
Heart disease | 282, 6.2% (235, 4.9%) |
Chronic kidney disease | 25, 0.6% (246, 5.2%) |
Pulmonary disease | 245, 5.4% (239, 5.0%) |
Cancer | 114, 2.5% (243, 5.1%) |
Flu-like symptoms | 3781, 80.8% (77, 2.2%) |
Upper respiratory symptoms | 2727, 59.5% (169, 3.6%) |
Lower respiratory symptoms | 1206, 26.6% (226, 4.8%) |
Gastrointestinal symptoms | 1018, 22.6% (244, 5.1%) |
Clinical score = moderate or high severity | 470, 10.6% (306, 6.4%) |
Telehealth only | 4143, 87.1% (0, 0%) |
Urgent care visit | 375, 7.9% (0, 0%) |
Hospitalization | 188, 4.0% (0, 0%) |
Intensive care unit admission or death | 50, 1.1% (0, 0%) |