Deep Learning Models to Predict Fatal Pneumonia Using Chest X-Ray Images
Table 2
Univariate association of radiographic characteristics and mortality in the original dataset (n = 1274).
Radiographic characteristics
Frequency, no, (%)
Mortality rate (%)
OR (95% CI)
value
Cardiomegaly
No
711 (55.8)
15.5
…a
Yes
563 (44.2)
23.6
1.69 (1.26–2.26)
<0.0005
Number of lobes involved with infiltrates
1
509 (40.0)
2.8
…a
≥2
765 (60.0)
29.9
15.08 (8.66–28.41)
<0.0001
Location of infiltrates
Unilateral
666 (52.3)
8.0
…a
Bilataral
608 (47.7)
31.2
5.25 (3.75–7.45)
<0.0001
Pleural effusion (location)
None
773 (60.7)
12.5
…a
Unilateral
280 (22.0)
20.4
1.78 (1.22–2.59)
<0.005
Bilateral
221 (17.3)
40.3
4.69 (3.28–6.71)
<0.0001
Cavitation
No
1237 (97.1)
18.8
…a
Yes
37 (2.9)
27.0
1.60 (0.68–3.46)
0.21
Univariate analysis was performed by Fisher’s exact test. values of <0.05 are shown in bold. aellipses indicate that this variable was used as the baseline variable in the univariate analysis.