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. Author manuscript; available in PMC: 2015 Jan 29.
Published in final edited form as: J Am Coll Cardiol. 2014 Dec 30;64(25):2753–2762. doi: 10.1016/j.jacc.2014.09.066

TABLE 4.

Prediction of Transient AKI by Biomarker Composites

Marker Sensitivity Specificity PPV NPV + LR –LR
ΔSCr 0%-24% 42 (25-61) 59 (39-77) 54 (33-74) 47 (30-65) 1.0 (0.6-1.9) 1.0 (0.6-1.5)
ΔSCr 25%-49% 24 (11-42) 83 (64-94) 62 (32-86) 49 (34-64) 1.4 (0.5-3.8) 0.9 (0.7-1.2)
ΔSCr ≥50% 15 (5-32) 69 (49-85) 36 (13-65) 42 (28-57) 0.5 (0.2-1.3) 1.2 (0.9-1.6)
uNGAL–
pCysC–
3(0-16) 93 (77-99) 33 (5-88) 46 (33-59) 0.4 (0-4.6) 1.0 (0.9-1.2)
uNGAL–
pCysC+
42 (25-61) 100 (88-100) 100 (77-100) 60 (45-74) NC 0.6 (0.4-0.8)
UNGAL+
pCysC–
24 (11-42) 76 (56-90) 53 (27-79) 47 (32-62) 1.0 (0.4-2.4) 1.0 (0.8-1.3)
UNGAL+
pCysC+
30 (16-49) 31 (15-51) 33 (17-53) 28 (14-47) 0.4 (0.3-0.8) 2.3 (1.3-4.0)

Sensitivity, specificity, PPV, and NPV are % (95% CI). For patients who developed AKI (62 of 345), biomarker composites of uNGAL and pCysC in relation to their respective cutoff values for positivity ≥200 ng/mg and 0.8 mg/l (+) demonstrate the ability to use composite biomarker panels to identify transient injury. Prediction was significantly superior to that afforded by any ΔSCr from pre-operative to first post-operative value. uNGAL is normalized to urinary creatinine.

Abbreviations as in Table 2.