Risk Models of Tsai et al for Acute Kidney Injury Following Percutaneous Coronary Intervention (PCI): Model for Acute Kidney Injury (AKI) Requiring Dialysis

Description

Tsai et al evaluated patients for acute kidney injury following a percutaneous coronary intervention (PCI). One model predicts acute kidney injury (AKI) while a second predicts AKI requiring dialysis. The authors are from multiple institutions in the United States using the National Cardiovascular Data Registry Cath-PCI Registry.

Patient selection: status post percutaneous coronary intervention (PCI)

Outcome: acute kidney injury

Parameters:

(1) heart failure in the prior 2 weeks

(2) GFR in mL per min

(3) diabetes mellitus

(4) coronary artery disease

(5) prior cardiac arrest

Parameter	Finding	Points
heart failure	no	0
	yes	2
GFR	none (>= 60)	0
	mild (45 to 59.5)	1
	moderate (30 to 44.9)	3
	severe (< 30)	5
diabetes	no	0
	yes	1
coronary artery disease	no	0
	unstable angina	1
	NSTEMI	1
	STEMI	2
prior cardiac arrest	no	0
	yes	3

total score =

= SUM(points for all 5 parameters)

Interpretation:

• minimum score: 0

• maximum score: 13

• The higher the score the greater the risk.

Score	Risk of AKI
0	0.03%
1	0.05%
2	0.09%
3	0.15%
4	0.27%
5	0.48%
6	0.84%
7	1.5%
8	2.6%
9	4.4%
10	7.6%
11	12.6%
12	20.3%
13	31%

Performance:

• The area under the ROC curve is 0.89.

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Risk Models of Tsai et al for Acute Kidney Injury Following Percutaneous Coronary Intervention (PCI): Model for Acute Kidney Injury (AKI) Requiring Dialysis

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