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Table 1 Basic characteristics of the study population

From: Severity-associated markers and assessment model for predicting the severity of COVID-19: a retrospective study in Hangzhou, China

  Training set (n = 104) Validation set (n = 68)
Age (years), median (IQR) 42.0 (33.0–56.5) 59.0 (48.0–66.0)
BMI (kg/m2), median (IQR) 22.5 (20.3–25.0) 24.7 (22.1–27.0)
Sex, n (%)
 Male 47 (45.2) 44 (64.7)
 Female 57 (54.8) 24 (35.3)
Comorbiditya, n (%)
 Yes 23 (22.1) 56 (82.4)
 No 81 (77.9) 12 (17.6)
Degree of severity, n (%)
 Mild 21 (20.2) 0 (0)
 Moderate 72 (69.2) 16 (23.5)
 Severe 11 (10.6) 29 (42.7)
 Critical 0 (0) 23 (33.8)
Clinical symptoms, n (%)
 Fever 69 (66.3) 58 (85.3)
 Fatigue 6 (5.8) 13 (19.1)
 Cough 46 (44.2) 42 (61.8)
 Expectoration 9 (8.7) 28 (41.2)
 Shortness of breath 8 (7.7) 19 (27.9)
 Diarrhoea 2 (1.9) 7 (10.3)
 Myalgia 2 (1.9) 18 (26.5)
  1. aComorbidity was defined as having at least one of the following diseases: diabetes, hypertension, cardiovascular disease, severe congenital disease, cancer and chronic liver, renal, respiratory disease
  2. IQR Interquartile range; BMI Body mass index