Wu et al reported a model for predicting in-hospital mortality following percutaneous coronary intervention (PCI). This can help to identify a patient who may require more aggressive management. The authors are from multiple institutions in the United States.
Patient selection: PCI
Outcome: in-hospital mortality
Parameters:
(1) age in years
(2) sex
(3) hemodynamic state
(4) LV ejection fraction
(5) pre-procedural AMI
(6) peripheral arterial disease
(7) congestive heart failure (CHF)
(8) renal failure
(9) left main coronary artery disease
Parameter
Finding
Points
age in years
< 56
0
56 to 64
1
65 to 74
3
>= 75
5
sex
male
0
female
1
hemodynamic state
stable
0
unstable
6
shock
9
LV ejection fraction
>= 30%
0
20-29%
2
< 20%
3
pre-procedural AMI
< 24 hours, stent thrombosis
9
< 6 hours, without stent thrombosis
7
6-23 hours, without stent thrombosis
6
1-14 days
4
> 14 days
2
none
0
peripheral arterial disease
no
0
yes
2
CHF
current
4
past
3
none
0
renal failure
serum creatinine <= 2.5 mg/dL
0
serum creatinine > 2.5 mg/dL
3
requires dialysis
4
left main coronary artery disease
no
0
yes
3
total score =
= SUM(points for all 9 parameters)
Interpretation:
• minimum score: 0
• maximum score: 40
X =
= (0.3175 * (score)) - 7.6597
probability of in-hospital mortality =
= 1 / (1+EXP((-1) * X))
To read more or access our algorithms and calculators, please log in or register.
