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Table 3 Summary statistics of OASIS variables in train and test sets

From: OASIS +: leveraging machine learning to improve the prognostic accuracy of OASIS severity score for predicting in-hospital mortality

Variable

Train (n = 22,318)

Test (n = 9566)

Survivals (n = 19,953)

Non-survivals (n = 2365)

p value

Survivals (n = 8560)

Non-survivals (n = 1006)

p value

Age

64 (51–75)

71 (58–80)

< 0.001

63 (51–75)

71.5 (60–80)

< 0.001

GCS

15 (14–15)

15 (13–15)

< 0.001

15 (14–15)

15 (12–15)

< 0.001

Heart rate

101 (90–115)

111 (95–128)

< 0.001

101 (90–115)

110 (94–126)

< 0.001

Mean blood pressure

59.67 (52.67–86)

55 (47–82)

< 0.001

59 (53–86)

55 (47–81.21)

< 0.001

Respiratory rate

26 (18.5–30)

28 (24–33)

< 0.001

26 (18–30)

28 (24–33)

< 0.001

Temperature

36.17 (35.7–37.5)

36 (35.44–37.5)

< 0.001

36.17 (35.72–37.5)

36.06 (35.5–37.71)

< 0.001

Urine output

1895 (1245–2770)

1189 (645–2050)

< 0.001

1900 (1235–2785)

1167 (640.5–1972.5)

< 0.001

Pre-ICU-LoS

0 (0–18)

0 (0–23)

< 0.001

0 (0–17)

0 (0–27)

0.12

ventilated?: Yes

9723 (48.73%)

1570 (66.38%)

< 0.001

4186 (48.9%)

676 (67.2%)

< 0.001

Elective surgery?: Yes

3357 (16.82%)

76 (3.21%)

< 0.001

1367 (15.97%)

38 (3.78%)

< 0.001