Description

Klein et al developed a model for predicting mortality in an octogenarian undergoing percutaneous cutaneous intervention (PCI). This can help to determine the level of risk for the patient. The study was done using the American College of Cardiology National Cardiovascular Data Registry (ACC-NCDR).


 

Patient selection: patients 80 to 90 years of age undergoing PCI

 

Parameters:

(1) age of the patient in years

(2) left ventricular ejection fraction

(3) acute myocardial infarction

(4) history of a prior PCI

(5) renal failure

(6) COPD (chronic obstructive pulmonary disease)

(7) peripheral vascular disease (PVD)

 

Parameter

Finding

Points

age in years

80

0

 

82

2

 

84

3

 

86

5

 

88

6

 

89

8

LV ejection fraction

20

36

 

30

27

 

40

18

 

50

9

 

60

0

 

70

1

acute myocardial infarction

no

53

 

< 6 hours

100

 

6 to 24 hours

95

 

1 to 7 days

79

previous PCI

yes

-12

 

no

0

renal failure

yes

15

 

no

0

COPD

yes

6

 

no

0

peripheral vascular disease

yes

9

 

no

0

 

where:

• One modification would be to match gaps in the ages with gaps in the point assignments.

• Renal failure, COPD and peripheral vascular disease are not weighted for severity.

• Presumably an AMI > 7 days before the PCI is scored as no AMI (53 points).

• An ejection fraction < 20% is a poor prognostic sign.

 

total score =

= SUM(points for all 7 parameters)

 

Interpretation:

• minimum score: 41

• maximum score: 174

• The higher the score the greater the mortality risk.

Total Score

Mortality

< 62

< 0.6%

62 to 68

< 0.8%

69 to 115

(0.00175 * ((points)^2)) - (0.2334 * (points)) + 8.876

115 to 153

(0.00598 * ((points)^2)) - (1.215 * (points)) + 65.6

> 153

> 20%

 


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