Maluenda et al developed a model for predicting 1-year mortality for a patient undergoing a percutaneous coronary intervention (PCI). This can help to identify a patient who may benefit from more aggressive management. The authors are from Washington Hospital Center in Washington, D.C.
Parameters:
(1) TIMI grade immediately after the PCI
(2) congestive heart failure (CHF)
(3) left main coronary artery disease (>= 50% stenosis)
(4) chronic renal failure
(5) history of diabetes
(6) baseline hematocrit in percent
(7) drop in hematocrit after the procedure
(8) age in decades after 40 years
|
Parameter |
Finding |
Points |
|
TIMI grade |
>= 3 |
0 |
|
|
< 3 |
7 |
|
congestive heart failure |
absent |
0 |
|
|
present |
4 |
|
left main disease |
absent |
0 |
|
|
present |
3 |
|
chronic renal failure |
absent |
0 |
|
|
present |
3 |
|
history of diabetes |
absent |
0 |
|
|
present |
2 |
|
baseline hematocrit |
>= 40 percent |
0 |
|
|
35 to 39.9 |
1 |
|
|
30 to 34.9 |
2 |
|
|
< 30 percent |
3 |
|
hematocrit drop |
< 5 percent |
0 |
|
|
5 to 9.9 |
1 |
|
|
10 to 14.9 |
2 |
|
|
>= 15 percent |
3 |
|
age |
<= 40 |
0 |
|
|
> 40 |
ROUND(((age)-40)/10,0) |
total score =
= SUM(points for all 8 parameters)
Interpretation:
• minimum score: 0
• maximum score: 30 (article says 26, but age of subjects went over 80 years)
• The higher the score the greater the 1 year mortality risk.
• A risk > 25% was considered very high risk and 10.1 to 25% high risk.
|
Total Score |
1 Year Mortality |
|
< 10 |
(0.0918 * ((score)^2)) - (0.0748 * (score)) + 0.35 |
|
10 to 18 |
(0.3482 * ((score)^2)) - (4.447 * (score)) + 18.77 |
|
18 to 26 |
(-0.3588 * ((score)^2)) + (20.77 * (score)) - 206.5 |
|
> 26 |
> 91% |
Specialty: Cardiology
ICD-10: ,
