Zhou et al reported models for predicting acute kidney injury (AKI) after acute myocardial infarciton. One model is a simple score called the XMU score, and the other is a logistic regression model. The authors are from Henan Polytechnic University and Xinxiang Medical University in China.
XMU = Xinxiang Medical University
Patient selection: acute myocardial infarction
Parameters:
(1) age in years
(2) mid-distal segment culprit lesion on coronary angiography
(3) serum creatinine in µmol/L
(4) RDW
(5) left ventricular ejection fraction (LVEF) in percent
Parameter
Finding
Beta-Coefficient
Points
age in years
<= 72 years
0
0
> 72 years
0.640
1
mid-distal segment culprit lesion
no
0
0
yes
1.380
2
serum creatinine
<= 102.7 µmol/L
0
0
> 102.7 µmol/L
1.427
2
RDW
<= 13.15
0
0
> 13.15
1.071
2
LVEF
> 40%
0
0
<= 40%
1.250
2
value of X =
= SUM(beta-coefficients for all of the parameters) - 4.524
probability of AKI =
= 1 / (1 + EXP((-1) * X))
total score =
= SUM(points for all of the parameters)
Interpretation:
• minimum score: 0
• maximum score: 9
Performance:
• The area under the ROC curve is 0.72.
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