Skip to main content

Table 2 Baseline characteristics of the patients among different severity of COVID-19

From: Nutritional screening based on objective indices at admission predicts in-hospital mortality in patients with COVID-19

 

All cases

N = 295

Mild/moderate

N = 188

Severe

N = 66

Critical ill

N = 41

p-value

Age, years

58.00 (44.00–69.00)

51.50 (38.00–64.00)

67.00 (57.25–76.75)

66.00 (61.00–75.00)

< 0.0001

Male, n, %

155,52.54%

88,46.81%

37,56.06%

30,73.17%

0.0074

Smoking, n, %

17,5.76%

7,3.72%

5,7.58%

5,12.20%

0.0836

Alcohol history, n, %

16,5.42%

7,3.72%

4,6.06%

5,12.20%

0.0918

Diabetes mellitus, n, %

71,24.07%

39,20.74%

17,25.76%

15,36.59%

0.0928

Cardiovascular disease, n, %

101,34.24%

49,26.06%

26,39.39%

26,63.41%

< 0.0001

Chronic respiratory disease, n, %

23, 7.80%

10, 5.32%

10,15.15%

3, 7.32%

0.0372

Chronic liver disease, n, %

24,8.14%

14,7.45%

4,6.06%

6,14.63%

0.2446

Chronic kidney disease, n, %

18,6.10%

7,3.72%

3,4.55%

8,19.51%

0.0006

Chest CT features, n, %

< 0.0001

 Normal

2, 0.70%

2, 1.08%

0, 0.00%

0, 0.00%

 

 GGO

111, 38.68%

81, 43.78%

26, 41.94%

4,10.00%

 

 Focal GGO +/− consolidation

18, 6.27%

18, 9.73%

0, 0.00%

0, 0.00%

 

 Bilateral involvement

134, 46.69%

79, 42.70%

30, 48.39%

25,62.50%

 

 Diffuse and interstitial lesions

22, 7.67%

5, 2.70.00%

6,9.68.00%

11,27.50%

 
  1. Continuous variables were expressed as the means ± standard deviation or the medians (interquartile range) in accordance with the distribution. The differences in the baseline variables were assessed across the mild/moderate, severe, and critical ill groups. Continuous variables were compared using the one-way analysis of variance or the Kruskal-Wallis test. Categorical variables were compared using Fisher’s exact test or the Chi-squared test. CT Computed tomography, GGO Ground glass opacities