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Table 1 Mapping OASIS clinical variables into subscores

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

Variable

Range

Subscore

Variable

Range

Subscore

Age (years)

< 24

0

Temperature (°C)

< 33.22

3

 

24–53

3

 

33.22–35.93

4

 

54–77

6

 

35.94–36.39

2

 

78–89

9

 

36.40–36.88

0

 

> 90

7

 

36.89–39.88

2

GCS

3–7

10

 

> 39.88

6

 

8–13

4

Urine output (cc/day)

< 671

10

 

14

3

 

671–1426.99

5

 

15

0

 

1427–2543.99

1

Heart rate (per minute)

< 33

4

 

2544–6896

0

 

33–88

0

 

> 6896

8

 

89–106

1

PreICU LoS (hours)

< 0.17

5

 

107–125

3

 

0.17–4.94

3

 

> 125

6

 

4.95–24.00

0

Mean blood pressure (mmHg)

< 20.65

4

 

24.01–311.80

2

 

20.65–50.99

3

 

> 311.80

1

 

51–61.32

2

Ventilated?

No

0

 

61.33–143.44

0

 

Yes

9

 

> 143.44

3

Elective surgery?

No

6

Resp. rate (per minute)

< 6

10

 

Yes

0

 

6–12

1

   
 

13–22

0

   
 

23–30

1

   
 

31–44

6

   
 

> 44

9