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Clinical Study

Combination of Renal Biomarkers Predicts Acute Kidney Injury in Critically Ill Adults

, , , , , , & show all
Pages 1100-1108 | Received 23 Apr 2012, Accepted 06 Jul 2012, Published online: 14 Aug 2012

Figures & data

Figure 1.  Study flowchart.

Notes: ESRD was defined according to KDIGO (CKD–MBD) Work Group definition: eGFR < 15 mL/h or hemodialysis.Citation17 Chronic kidney diseases included glomerulonephritis, interstitial renal disease, and obstructive uropathy. AKI, acute kidney injury; ESRD, end-stage renal disease; ICU, intensive care unit; HDU, high-dependency unit.

Figure 1.  Study flowchart.Notes: ESRD was defined according to KDIGO (CKD–MBD) Work Group definition: eGFR < 15 mL/h or hemodialysis.Citation17 Chronic kidney diseases included glomerulonephritis, interstitial renal disease, and obstructive uropathy. AKI, acute kidney injury; ESRD, end-stage renal disease; ICU, intensive care unit; HDU, high-dependency unit.

Figure 2.  Receiver-operating characteristic (ROC) curves of the individual biomarkers and the two best combinations of them.

Notes: pNGAL, plasma neutrophil gelatinase-associated lipocalin; pCysC, plasma cystatin; uNGAL, urine neutrophil gelatinase-associated lipocalin; sCr, serum creatinine; AUC, area under curve. Open circle indicates the ideal cut-off point of each curve, according to the Youden’s index.Citation21

Figure 2.  Receiver-operating characteristic (ROC) curves of the individual biomarkers and the two best combinations of them.Notes: pNGAL, plasma neutrophil gelatinase-associated lipocalin; pCysC, plasma cystatin; uNGAL, urine neutrophil gelatinase-associated lipocalin; sCr, serum creatinine; AUC, area under curve. Open circle indicates the ideal cut-off point of each curve, according to the Youden’s index.Citation21

Table 1.  Patient’s admission characteristics, renal parameters, and outcomes.

Table 2.  Predictive performance of each individual biomarker and all their possible combinations for AKI development within 7 days post-admission.

Table 3.  Formula for fitted multiple logistic regression model for combining biomarkers.

Table 4.  Predictive characteristics of admission biomarkers and their combinations for AKI development within 7 days post admission.

Table 5.  Category-free NRI and IDI of including biomarkers and their combinations in the risk factor model to predict AKI development within 7 days post-admission.

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