Qureshi et al developed a simple score for identifying patients at risk for in-hospital mortality following a percutaneous coronary intervention (PCI). This can help identify patients who require closer monitoring and more aggressive therapy. The authors are from William Beaumont Hospital in Royal Oak, Michigan.
NOTE: The documentation and calculator are based on the materials submitted by Dr Ana Paula Rodel from the Hospital Universitario de Santa Maria in Brazil.
Parameters from the univariate analysis used for a weighted score:
(1) history of AMI
(2) serum creatinine
(3) extent of coronary artery disease
(4) age
Parameter |
Finding |
Points |
---|---|---|
history of AMI |
none |
0 |
|
< 14 days |
7 |
|
>= 14 days |
0 |
serum creatinine |
<= 1.5 mg/dL (normal) |
0 |
|
> 1.5 mg/dL elevated |
4 |
extent of coronary artery disease |
single vessel disease |
0 |
|
multi-vessel disease |
4 |
age of the patient |
<= 65 years |
0 |
|
> 65 years |
3 |
where:
• Multi-vessel disease was defined as >= 2 arteries with > 50% stenosis.
total score =
= SUM(points for all 4 parameters)
Interpretation:
• minimum score: 0
• maximum score: 18
• The higher the score the greater the risk of in-hospital mortality.
Total Score |
Risk Class |
Mortality Rate |
0 |
I |
0.2% |
3 - 8 |
II |
0.5% |
9 - 11 |
III |
2.3% |
12 - 18 |
IV |
9.1% |
Purpose: To predict the in-hospital mortality following a percutaneous coronary intervention (PCI) using the simple score of Qureshi et al.
Specialty: Cardiology
Objective: risk factors, severity, prognosis, stage
ICD-10: I20, I21, I25, Y84.0,