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. 2017 Jun 17;31(2):209–223. doi: 10.1007/s40620-017-0416-8

Table 2.

Overview of the most important clinical predictive models of post-surgical AKI

Model name CICSS Cleveland clinic STS SRI MCSPI AKICS NNECDSG CLIN-RISK
First author Chertow Thakar Mehta Wijeysundera Aronson Palomba Brown Simonini
Year of study 1987–1994 1993–2002 2002–2004 1999–2004 1996–2000 2003–2005 2001–2005 2009–2012
Number of patients 42,733 15,838 449,525 10,751 2381 603 8363 802
Outcome (%) AKI-D (1.1) AKI-D (1.7) AKI-D (1.4) AKI-D (1.3) AKI-ND (4.8) AKI-ND (11) AKI-ND (3) AKI-ND (9.9)
ROC 0.76 0.81 0.84 0.81 0.84 0.84 0.72 0.79
Validation (ROC) Yes (0.71–0.78) Yes (0.66–0.86) Yes (0.75–0.81) Yes (0.73–0.79) Yes# (0.80) Yes# (0.85) Yes (0.76) No
Number of variables 7 13 10 8 8 8 11 8
Demographics X X X X X X
Clinical X X X X X X X X
Operation type X X X X X X
Intraoperative X X
Postoperative X

AKI-D AKI requiring dialysis, AKI-ND AKI not requiring dialysis, AKICS Acute Kidney Injury After Cardiac Surgery Score, CICSS Continuous Improvement in Cardiac Surgery Study, CLIN-RISK Clinical Risk Score for AKI, MCSPI Multicenter Study of Perioperative Ischemia Score, NNECDSG Northern New England Cardiovascular Disease Study Group Score, SRI simplified renal index, STS Society of Thoracic Surgeons Bedside Risk Tool

#Only internal validation