Description

Tam et al developed a nomogram for predicting the likelihood of unplanned admission to the intensive care unit (ICU). The authors are from Liverpool Hospital and the University of New South Wales in Sydney, Australia.


 

Patient selection: hospital admission, 10 to 110 years of age, ICU admission not planned for

 

Parameters:

(1) age in years

(2) gender

(3) admission from emergency department (ED)

(4) same-day admission

(5) maternity

(6) shift when admitted

(7) day of admission

(8) fractured femur

(9) acute pancreatitis

(10) liver disease

(11) chronic airways disease

(12) pneumonia

(13) heart failure

 

points for age =

= (0.755 * (age in years)) - 7.55

 

Parameter

Finding

Points

gender

female

0

 

male

4.2

admission from ED

no

0

 

yes

5.2

same day admission

yes

0

 

no

100

maternity

no

0

 

yes

33.5

shift when admitted

night (midnight to 8 AM)

0

 

day (8 AM to 4 PM)

3

 

evening (4 PM to midnight)

7.3

day of admission

weekday

0

 

weekend

6.3

fractured femur

no

0

 

yes

22.1

acute pancreatitis

no

0

 

yes

32

liver disease

no

0

 

yes

62.8

chronic airways disease

no

0

 

yes

12.1

pneumonia

no

0

 

yes

23.3

heart failure

no

0

 

yes

3.6

 

where:

• Same-day admission and ED admission are treated as separate in the implementation although it might be possible to have both.

 

total score =

= SUM(points for all 13 parameters)

 

Interpretation:

• minimum score: 0

• maximum score: around 300

• The higher the score the greater the likelihood of unplanned ICU admission.

 

Score

Percent with Unplanned ICU Admission

0 to 181

< 1%

181 to 220

(0.001373 * ((points)^2)) - (0.4755 * (points)) + 42.11

220 to 278

(0.004717 * ((points)^2)) - (1.989 * (points)) + 213.3

> 278

> 25%

 


To read more or access our algorithms and calculators, please log in or register.