Description

The National Cardiovascular Data Registry (NCDR) was used to develop a model for predicting mortality associated with percutaneous coronary intervention (PCI). The authors are from multiple hospitals in the United States.


Parameters:

(1) age I years

(2) cardiogenic shock

(3) history of congestive heart failure (PCI)

(4) peripheral vascular disease (PVD)

(5) chronic lung disease

(6) glomerular filtration rate (GFR) from MDRD in mL per min per 1.73 square m BSA

(7) NYHA functional class IV

(8) PCI and STEMI status

 

Parameter

Findinig

Points

age in years

< 60 years

0

 

60 to 69 years

4

 

70 to 79 years

8

 

>= 80 years

14

cardiogenic shock

no

0

 

yes

25

history of CHF

no

0

 

yes

5

peripheral vascular disease

no

0

 

yes

5

chronic lung disease

no

0

 

yes

4

GFR

> 90

0

 

60 to 90

6

 

30 to 59

10

 

< 30

18

NYHA functional class

not IV

0

 

IV

4

PCI and STEMI

elective, no STEMI

0

 

urgent, no STEMI

8

 

emergent, no STEMI

20

 

salvage, no STEMI

42

 

elective, STEMI

12

 

urgent, STEMI

15

 

emergent, STEMI

20

 

salvage, STEMI

38

 

total score =

= SUM(points for all 8 parameters)

 

Interpretation:

• minimum score: 0

• maximum score: 117 (scoring was done over a range of 0 to 100)

• The higher the score the greater the risk of in-patient mortality.

 

Score

In-Patient Mortality

0 to 20

(0.000286 * ((score)^2)) + (0.008286 * (score)) + 0.01429

20 to 40

(0.008571 * ((score)^2)) – (0.3543 * (score)) + 4.006

40 to 70

(0.05386 * ((score)^2)) – (4.118 * (score)) + 82.24

70 to 100

(-0.04914 * ((score)^2)) + (9.673 * (score)) – 378.3


 


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