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Table 2 Patient characteristics of the non-SIRS and SIRS groups (dichotomous values)

From: Development and validation of a machine learning-based model to assess probability of systemic inflammatory response syndrome in patients with severe multiple traumas

 

Indicator

Non-SIRS = 230

SIRS = 230

Total = 439

Odds ratio [95% CI]

P value

Gender

Female

67 (52.3%)

61 (47.7%)

128 (29.2%)

1.31 [0.87 to 1.98]

0.2025

Male

142 (45.7%)

169 (54.3%)

311 (70.8%)

Fever

No

193 (61.5%)

121 (38.5%)

314 (71.5%)

10.87 [6.30 to 19.89]

< 0.0001

Yes

16 (12.8%)

109 (87.2%)

125 (28.5%)

Needs ICU

No

92 (71.9%)

36 (28.1%)

128 (29.2%)

4.24 [2.73 to 6.70]

< 0.0001

Yes

117 (37.6%)

194 (62.4%)

311 (70.8%)

Prolonged shock

No

144 (61.8%)

89 (38.2%)

233 (53.1%)

3.51 [2.37 to 5.23]

< 0.0001

Yes

65 (31.6%)

141 (68.4%)

206 (46.9%)

Hemorrhage > 25% of BV

No

132 (54.1%)

112 (45.9%)

244 (55.6%)

1.81 [1.23 to 2.65]

0.0023

Yes

77 (39.5%)

118 (60.5%)

195 (44.4%)

ATC

No

171 (53.3%)

150 (46.7%)

321 (73.1%)

2.40 [1.55 to 3.77]

0.0001

Yes

38 (32.2%)

80 (67.8%)

118 (26.9%)

Pneumonia

No

124 (54.1%)

105 (45.9%)

229 (52.2%)

1.74 [1.19 to 2.54]

0.0042

Yes

85 (40.5%)

125 (59.5%)

210 (47.8%)

Outcome

Deceased

22 (35.5%)

40 (64.5%)

62 (14.1%)

0.56 [0.32 to 0.97]

0.0391

Alive

187 (49.6%)

190 (50.4%)

377 (85.9%)

  1. ICU, intensive care unit; BV, blood volume; ATC, acute traumatic coagulopathy