Description

Ebell et al used classification and regression tree (CART) analysis to evaluate patients after in-hospital cardiopulmonary arrest. One model reported was supervised. The authors are from the University of Georgia, Duke University, and the Johns Hopkins University.


Patient selection: in-hospital cardiopulmonary arrest

 

Outcome: survival to discharge with good or fair neurological status (CPC 1)

 

High probability of survival: 17-40%

Average probability of survival: 10-15%

Low probability of survival: 5-7%

Very low probability of survival: 1-3%

 

Parameters:

(1) Cerebral Performance Category (CPC) from 1 to 5

(2) admitted from home or transferred from another hospital

(3) mechanical ventilation

(4) age

(5) sepsis

(6) acute stroke

(7) hepatic insufficiency/failure

(8) renal insufficiency/failure

 

Good cerebral function (CPC 1)

 

Sepsis

Mechanical Ventilation

Renal Insufficiency

Survival

No

NA

NA

21.2%

Yes

No

NA

14.8%

Yes

Yes

Yes

3.7%

Yes

Yes

No

7.9%

 

Impaired cerebral function (CPC 2)

 

Admitted

Mech Vent

Sepsis

Stroke

Hepatic Failure

Age

Survival

No

NA

NA

NA

NA

NA

2.3%

Yes

No

NA

NA

NA

NA

10.3%

Yes

Yes

Yes

NA

NA

NA

3.9%

Yes

Yes

No

Yes

NA

NA

1%

Yes

Yes

No

No

Yes

NA

6%

Yes

Yes

No

No

No

>=32

6.5%

Yes

Yes

No

No

No

< 32

4.4%

 

Impaired cerebral function (CPC 3-5)

 

Admitted from

Age

Renal Insufficiency

Survival

No

NA

NA

2.3%

Yes

>=74

NA

1%

Yes

< 74

Yes

2%

Yes

< 74

No

3.9%

 


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