Description

O'Connor et al developed a multivariate prediction model for in-hospital mortality following a percutaneous coronary intervention (PCI). This can help identify patients at greater risk prior to the procedure. The author are from multiple hospitals in New Hampshire, Vermont and Massachusetts.


Parameters:

(1) age of the patient

(2) treatment for acute myocardial infarction (AMI)

(3) cardiogenic shock

(4) priority of the procedure

(5) left ventricular ejection fraction

(6) serum creatinine level

(7) peripheral vascular disease (cerebrovascular, lower extremities, other)

(8) congestive heart failure (CHF)

(9) preoperative intra-aortic balloon pump (IABP)

(9) most severe type of lesion being treated (A, B or C)

 

Parameter

Finding

Points

age of the patient

< 50 years of age

0

 

50 - 59

-0.0744

 

60 - 69

0.4881

 

70 - 79

1.1987

 

>= 80

1.3147

treatment for AMI

no

0

 

yes

0.6142

cardiogenic shock

absent

0

 

present

1.8087

priority

normal

0

 

urgent

0.7853

 

emergent

2.0424

left ventricular ejection fraction

>= 60%

0

 

50 - 59%

0.9264

 

40 - 49%

1.2005

 

< 40%

1.6408

creatinine clearance

< 2.0 mg/dL

0

 

>= 2.0 mg/dL

0.8402

peripheral vascular disease

none

0

 

any

0.7494

congestive heart failure

none

0

 

previous history

1.1019

 

present

1.1019

preoperative IABP

none

0

 

present

1.3634

most severe lesion treated

A

0

 

B

0

 

C

0.6639

 

X =

= SUM(points for all 9 parameters) - 7.6129

 

probability of in-hospital mortality =

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


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