Description

Nishioka et al reported models for predicting neurological outcome at 90 days after an out-of-hospital cardiac arrest. One model does not use laboratory values while another does. The authors are from multiple institutions in Japan


Patient selection: out-of-hospital cardiac arrest

 

Outcome: unfavorable (CPC >= 3) at 90 days

 

Parameters:

(1) age in years

(2) initial rhythm at scene

(3) bystander CPR

(4) shock during cardiac arrest

(5) administration of adrenaline during cardiac arrest

(6) advanced airway management during cardiac arrest

(7) first documented rhythm in hospital

(8) Glasgow coma motor score, from 1 to 6

(9) low flow time in minutes

(10) serum albumin in g/dL

(11) serum potassium in mmol/L

(12) blood glucose in mg/dL

(13) arterial pH

(14) pCO2 in mm Hg

(15) blood lactate in mmol/L

 

Parameter

Finding

Points

age in years

 

0.0419 * (age)

initial rhythm

VF or pVT

0

 

PEA

0.2733

 

asystole

0.3780

bystander CPR

no

0

 

yes

-0.1027

shock during arrest

no

0

 

yes

-1.1993

adrenaline given

no

0

 

yes

1.1486

airway management

no

0

 

yes

0.6124

first documented rhythm

VF or pVT

0

 

PEA (pulseless electrical activity)

1.0801

 

asystole

1.3109

 

ROSC

0

GCS motor score

1

0.8253

 

>= 2

0

low flow time

 

0.4319 * LN(time)

serum albumin

 

-0.832*(albumin)

serum potassium

 

0.0723*(potassium)

blood glucose

 

0.0005*(glucose)

arterial pH

 

-1.8962*(pH)

pCO2

 

0.0059 * (pCO2)

blood lactate

 

0.0241 * (lactate)

 

where:

• The type of log transformation of the low flow time was not given. It was assumed to be natural logarithm.

• VF or pVT are shockable rhythms.

 

value of X =

= SUM(points for all of the parameters) + 11.0535

 

probability of poor neurologic outcome =

= 1 / (1+EXP((-1) * X))

 

Performance:

• The area under the ROC curve is 0.95.


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