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Table 1 Characteristics of the study population

From: Predicting mortality among septic patients presenting to the emergency department–a cross sectional analysis using machine learning

Variable

Total

(n = 445)

Median age (IQR)

73.0 (59.0–84.0)

Male gender (%)

234 (52.6)

Severe sepsis (%)

221 (49.7)

Length of hospital stay (IQR)

4.0 (2.0–9.0)

In-hospital mortality (%)

83 (18.7)

1-day mortality (%)

29 (6.5)

7-day mortality (%)

63 (14.2)

30-day mortality (%)

98 (22.0)

1 year mortality (%)

175 (39.3)

RETTS priority

 - Red (%)

159 (35.7)

 - Orange (%)

130 (29.2)

 - Yellow (%)

116 (26.1)

 - Green (%)

24 (5.4)

 - Blue (%)

4 (0.9)

  1. 19 patients lacked information regarding severe sepsis and 12 patients lacked information regarding RETTS priority. IQR= Interquartile range, EMS = Emergency medical service, RETTS= Rapid Emergency Triage and Treatment System