Comparison of Chest Computed Tomography (CT) Imaging Patterns and Severity among COVID-19 Patients during the First and Fourth Waves in Addis Ababa, Ethiopia
Table 7
Comparison of Chest CT severity features among the sociodemographic and comorbidity profiles.
Variables
1st wave, n = 100
4th wave, n = 100
Severe, n = 28 (28%)
Nonsevere, n = 72 (72%)
value
Severe, n = 13 (13%)
Nonsevere, n = 87 (87%)
value
Age
<35
1 (6.2%)
15 (93.8%)
0.107
2 (13.3%)
13 (86.7%)
0.758
36–50
13 (31.7%)
28 (68.3%)
4 (17.4%)
19 (82.6%)
>50
14 (32.6%)
29 (67.4%)
7 (11.3%)
55 (88.7%)
Sex
Male
12 (22.6%)
41 (77.4%)
0.205
8 (11.6%)
61 (88.4%)
0.533
Female
16 (34%)
31 (66%)
5 (16.1%)
26 (83.9%)
Duration of symptoms
1–7 days
11 (18.6%)
48 (81.4%)
0.037
7 (9.5%)
67 (90.5%)
0.193
8–14 days
5 (35.7%)
9 (64.3%)
2 (20%)
8 (80%)
>14 days
12 (44.4%)
15 (55.6%)
4 (25%)
12 (75%)
Comorbidity
Yes
13 (29.5%)
31 (70.5%)
0.76
11 (17.5%)
52 (82.5%)
0.317
No
15 (26.8%)
41 (73.2%)
2 (5.4%)
35 (94.6%)
Diabetes mellitus
Yes
6 (27.3%)
16 (72.7%)
0.931
4 (13.8%)
25 (86.2%)
1.00
No
22 (28.57%)
55 (71.43%)
9 (12.6%)
62 (87.4%)
Hypertension
Yes
7 (30.4%)
16 (69.6%)
0.767
4 (13.3%)
26 (86.7%)
1.00
No
21 (27.3%)
56 (72.7%)
9 (12.9%)
61 (87.1%)
< 0.05; the bold value represent statistical significance.