Table 1 Comparability of clinical data and laboratory indicators between the death and survival group.

From: Exploration of prognostic factors for critical COVID-19 patients using a nomogram model

Items

Survival group (n = 50)

Death group (n = 52)

t/Z/χ2

p

Age (years)

65.00(14.50)

74.50(12.75)

− 4.68

< 0.001

Sex (M/F)

24/26

39/13

7.87

0.005

Hypertension (Y/N)

20/30

29/23

2.54

0.111

Diabetes (Y/N)

11/39

10/42

0.12

0.730

Coronary heart disease (Y/N)

3/47

13/39

6.96

0.008

Smoking habit (Y/N)

3/47

6/46

0.41

0.524

Body temperature (℃)

38 (1.63)

37 (1.50)

− 2.49

0.013

WBC (*109/L)

5.68 (2.83)

8.06 (7.22)

− 4.55

< 0.001

L (*109/L)

1.26 (0.49)

0.75 (0.39)

5.83

< 0.001

PLT (*109/L)

240 (129.75)

144.50 (121.25)

− 4.90

< 0.001

Hs-CRP (mg/L)

18.4 (59.90)

113.30 (93.20)

− 6.51

< 0.001

eGFR (ml/min)

92.55 (15.30)

66.20 (38.05)

− 4.17

< 0.001

d-Dimer (μg/mL)

0.80 (1.43)

19.09 (18.97)

− 6.35

< 0.001

TnI (μg/L)

2.55 (4.73)

40.75 (652.83)

− 6.77

< 0.001

  1. Continuous variables with normal distribution were expressed as the mean ± standard deviation (SD), non-normal variables were expressed as the median (interquartile range (IQR)), and categorical data were expressed as number and percentage. The independent sample Student's t-test was used to compare the means of two continuous normally distributed variables. The means of two non-normally distributed variables were compared with the Mann–Whitney U test. The frequencies of categorical variables were compared by the χ2 test.
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