Models of Fujiwara et al for Predicting Contrast-Associated Acute Kidney Injury (CA-AKI) After Percutaneous Coronary Intervention (PCI): Logistic Regression Model
Fujiwara et al reported 2 models for predicting contrast-associated acute kidney injury (CA-AKI) following percutaneous coronary intervention (PCI). One is a simple score and the second is a logistic regression equation. The authors are from Fujita Health University, Gunma University and Osaka University.
Patient selection: status post percutaneous coronary intervention (PCI)
Parameters:
(1) emergency procedure
(2) serum creatinine in mg/dL
(3) urine protein by dipstick, from 0 to 4+
(4) left ventricular ejection fraction (LVEF) in percent
Parameter
Finding
Points
emergency procedure
no
0
yes
1.218
serum creatinine
1.396 * (creatinine)
urine protein
negative
0
+/-, 1+, 2+, 3+, 4+
1.413
LVEF
-0.038 * (LVEF)
value of X =
= SUM(points for all of the parameters) - 3.379
risk of acute kidney injury =
= 1 / (1 + EXP((-1) * X))
Performance:
• The area under the ROC curve is 0.79.
To read more or access our algorithms and calculators, please log in or register.
