IntroductionAcute kidney injury (AKI) can evolve quickly and clinical measures of function often fail to detect AKI at a time when interventions are likely to provide benefit. Identifying early markers of kidney damage has been difficult due to the complex nature of human AKI, in which multiple etiologies exist. The objective of this study was to identify and validate novel biomarkers of AKI.MethodsWe performed two multicenter observational studies in critically ill patients at risk for AKI - discovery and validation. The top two markers from discovery were validated in a second study (Sapphire) and compared to a number of previously described biomarkers. In the discovery phase, we enrolled 522 adults in three distinct cohorts including patients with sepsis, shock, major surgery, and trauma and examined over 300 markers. In the Sapphire validation study, we enrolled 744 adult subjects with critical illness and without evidence of AKI at enrollment; the final analysis cohort was a heterogeneous sample of 728 critically ill patients. The primary endpoint was moderate to severe AKI (KDIGO stage 2 to 3) within 12 hours of sample collection.ResultsModerate to severe AKI occurred in 14% of Sapphire subjects. The two top biomarkers from discovery were validated. Urine insulin-like growth factor-binding protein 7 (IGFBP7) and tissue inhibitor of metalloproteinases-2 (TIMP-2), both inducers of G1 cell cycle arrest, a key mechanism implicated in AKI, together demonstrated an AUC of 0.80 (0.76 and 0.79 alone). Urine [TIMP-2]·[IGFBP7] was significantly superior to all previously described markers of AKI (P <0.002), none of which achieved an AUC >0.72. Furthermore, [TIMP-2]·[IGFBP7] significantly improved risk stratification when added to a nine-variable clinical model when analyzed using Cox proportional hazards model, generalized estimating equation, integrated discrimination improvement or net reclassification improvement. Finally, in sensitivity analyses [TIMP-2]·[IGFBP7] remained significant and superior to all other markers regardless of changes in reference creatinine method.ConclusionsTwo novel markers for AKI have been identified and validated in independent multicenter cohorts. Both markers are superior to existing markers, provide additional information over clinical variables and add mechanistic insight into AKI.Trial registrationClinicalTrials.gov number NCT01209169.

No abstract

Objectives To test the hypothesis that, without diagnostic changes in serum creatinine, increased NGAL levels identify patients with subclinical acute kidney injury (AKI) and, therefore, worse prognosis. Background Neutrophil gelatinase-associated lipocalin (NGAL) detects subclinical AKI hours to days before increases in serum creatinine indicate manifest loss of renal function. Methods We analyzed pooled data from 2,322 patients with cardiorenal syndrome type 1 from ten prospective observational studies of NGAL. We used the terms NGAL(−) or NGAL(+) according to study-specific NGAL cut-off for optimal AKI prediction and the terms sCREA(−) or sCREA(+) to consensus diagnostic increases in serum creatinine defining AKI. A-priori-defined outcomes included need for renal replacement therapy (primary endpoint), hospital mortality, their combination and duration of stay in intensive care and in-hospital. Results Of study patients, 1,296 (55.8%) were NGAL(−)/sCREA(−), 445 (19.2%) NGAL(+)/sCREA(−), 107 (4.6%) NGAL(−)/sCREA(+) and 474 (20.4%) NGAL(+)/sCREA(+). According to the four study groups, there was a stepwise increase in subsequent renal replacement therapy initiation, (NGAL(−)/sCREA(−): 0.0015% vs. NGAL(+)/sCREA(−): 2.5% [odds ratio 16.4, 95% CI 3.6–76.9, P<0.001], NGAL(−)/sCREA(+): 7.5% and NGAL(−)/sCREA(−): 8.0%, respectively), hospital mortality (4.8%, 12.4%, 8.4%, 14.7%, respectively) and their combination (four-group comparisons: all P<0.001). There was a similar and consistent progressive increase in median number of intensive care and in-hospital days with increasing biomarker positivity: NGAL(−)/sCREA(−): 4.2 and 8.8 days; NGAL(+)/sCREA(−): 7.1 and 17.0 days; NGAL(−)/sCREA(+): 6.5 and 17.8 days; NGAL(+)/sCREA(+): 9.0 and 21.9 days; four-group comparisons: P=0.003 and P=0.040, respectively. Urine and plasma NGAL indicated a similar outcome pattern. Conclusions In the absence of diagnostic increases in serum creatinine, NGAL detects patients with subclinical AKI who have an increased risk of adverse outcomes. The concept and definition of AKI may need re-assessment.

Early postoperative measurement of plasma NGAL was of good value in identifying patients who developed AKI after adult cardiac surgery. Plasma NGAL and serum cystatin C were superior to conventional biomarkers in the prediction of AKI and were also of prognostic value in this setting.