Description

Frost et al reported a nomogram for predicting the risk of being readmitted to the intensive care unit during the same hospital stay. This can help to identify a patient who may benefit from more aggressive management. The authors are from Liverpool Hospital, University of West Sydney, Curtin University of Technology and University of New South Wales in Australia.


Patient selection: patient discharged from ICU to ward

 

Outcome: patient readmitted to the ICU during the same hospital stay

 

Parameters:

(1) age in years (from 15 to 95)

(2) sex

(3) elective admission to the ICU

(4) source of initial admission to the ICU

(5) APACHE II score on initial admission to ICU (from 0 to 45)

(6) number of days in ICU during previous stay

(7) discharged from ICU after hours

(8) acute renal failure in ICU

 

Parameter

Finding

Points

age in years

 

(0.10625*(age))-1.59375

sex

female

0

 

male

1.9

elective admission

yes

0

 

no

12.2

source of ICU admission

operating room or recovery

0

 

emergency room

9.5

 

another hospital

10.2

 

hospital ward

14.8

APACHE II score

 

MIN(20,(score)*0.444)

ICU stay

<7 days

0

 

7 or more days

17.4

discharged after hours

no

0

 

yes

3.9

acute renal failure

no

0

 

yes

9.9

 

total score =

= SUM(points for all 8 parameters)

 

Interpretation:

minimum score: 0

maximum score: around 89

The higher the score the greater the risk for ICU readmission.

 

percent readmission to ICU =

= (0.008262 * ((score)^2)) - (0.3198 * (score)) + 7.51


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