Description

Frost et al developed a nomogram for predicting an unplanned admission to the intensive care unit (ICU) for a patient following an emergency hospital admission. The authors are from Liverpool Hospital, University of Western Sydney, University of New South Wales and Curtin University of Technology in Australia.


 

Patient selection: adult 20 to 70 years of age with an emergency admission to the hospital

 

Parameters:

(1) age in years

(2) gender

(3) triage category

(4) acute renal failure

(5) lymphatic-hemopoietic disorder

(6) chronic airways disease

(7) sepsis

(8) pneumonia

(9) pancreatitis

(10) bowel obstruction

(11) peripheral vascular disease

(12) dementia

(13) connective tissue disease

(14) liver disease

(15) renal disease (other than acute renal failure)

 

Age of the Patient

Points

15 to 45 years

(0.455 * (age)) - 6.675

45 to 70 years

(-0.006869 * ((age)^2)) + (0.9712 * (age)) - 16.11

 

 

Parameter

Finding

Points

gender

female

0

 

male

2.5

triage category

non-urgent

0

 

semi-urgent

0

 

urgent

5.2

 

emergency

7.5

 

resuscitation

16.6

acute renal failure

no

0

 

yes

6.5

lymphatic-hematopoietic

no

0

 

yes

20

chronic airways disease

no

0

 

yes

5

sepsis

no

0

 

yes

7.3

pneumonia

no

0

 

yes

5.4

pancreatitis

no

0

 

yes

11.1

bowel obstruction

no

0

 

yes

13.1

peripheral vascular disease

no

0

 

yes

1.6

dementia

no

0

 

yes

3.5

connective tissue disease

no

0

 

yes

2.3

liver disease

no

0

 

yes

3.1

renal disease

no

0

 

yes

3.1

 

total score =

= SUM(points for all 15 parameters)

 

Interpretation:

• minimum score: 0

• maximum score: > 100

• The higher the score the more likely that the patient will have an unplanned admission to the ICU.

 

Points

Percent with Unplanned ICU Admission

< 23.9

< 1%

23.9 to 58.7

(0.0182 * ((points)^2)) - (0.9794 * (points)) + 14.4

> 58.7

> 20%

 


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