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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