Description

Wibring et al reported models for evaluating patients with chest pain. One model predicts high-risk chest pain while a second predicts low-risk chest pain. The authors are from multiple institutions in Sweden.


Patient selection: chest pain

 

Parameters:

(1) age in years

(2) sex

(3) previous history of heart failure

(4) previous history of kidney failure

(5) previous history of atrial fibrillation or flutter

(6) prehospital serum troponin T in ng/L

(7) ST depression in ECG

(8) pallor

(9) pain onset during activity

(10) constant pain

(11) pain in right arm

(12) pressuring pain

 

Parameter

Finding

OR

beta-coefficient (LN OR)

age in years

 

1.03

0.0296 * (age)

sex

female

1

0

 

male

1.58

0.457

history heart failure

no

1

0

 

yes

0.54

-0.616

history kidney disease

no

1

0

 

yes

0.42

-0.868

atrial fib/flutter

no

1

0

 

yes

0.31

-1.17

serum troponin

< 40 ng/L

1

0

 

40 to 100 ng/L

5.68

1.74

 

101-1000 ng/L

18.13

2.90

 

> 1,000 ng/L

41.21

3.72

ST depression

no

1

0

 

yes

3.81

1.34

pallor

no

1

0

 

yes

2.02

0.703

pain during activity

no

1

0

 

yes

2.31

0.837

constant pain

no

1

0

 

yes

1.85

0.615

pain right arm

no

1

0

 

yes

3.02

1.105

pressuring pain

no

1

0

 

yes

1.55

0.438

constant

 

0.01

-4.605

 

value of X =

= SUM(beta-coefficients)

 

probability of high-risk chest pain =

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

 

Performance:

• The area under the ROC curve is 0.85.


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