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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