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01.12.2017 | Research article | Ausgabe 1/2017 Open Access

BMC Cardiovascular Disorders 1/2017

Serum neutrophil gelatinase-associated lipocalin levels predict the neurological outcomes of out-of-hospital cardiac arrest victims

BMC Cardiovascular Disorders > Ausgabe 1/2017
Tadashi Kaneko, Motoki Fujita, Yasuaki Ogino, Takahiro Yamamoto, Ryosuke Tsuruta, Shunji Kasaoka



Serum neutrophil gelatinase-associated lipocalin (NGAL) is a well-known biomarker of acute kidney injury. Serum NGAL was recently proposed as a potential predictor of mortality in post cardiac arrest syndrome (PCAS) patients following out-of-hospital cardiac arrest (OHCA). However, the potential predictive value of NGAL for neurological outcomes is unknown. Therefore, we assessed the potential predictive value of NGAL for neurological outcomes after OHCA. We also compared its predictive value with that of neuron-specific enolase (NSE) as an established biomarker.


Blood samples were prospectively collected from 43 PCAS patients following OHCA. Serum NGAL was measured on days 1 and 2, and NSE was measured on day 2. These biomarkers were compared between patients with favourable (cerebral performance category [CPC] 1–2) and unfavourable (CPC 3–5) outcomes. Receiver operating characteristic (ROC) curve analysis was performed.


Serum NGAL and NSE on day 2 (both P < 0.001), but not NGAL on day 1 (P = 0.609), were significantly different between the favourable and unfavourable groups. In ROC curve analysis, the sensitivity and specificity were 83% and 85%, respectively, for NGAL (day 2) at a cutoff value of 204 ng/mL and were 84% and 100% for NSE (day 2) at a cutoff value of 28.8 ng/mL. The area under the ROC curve of NGAL (day 2) was equivalent to that of NSE (day 2) (0.830 vs. 0.918). Additionally, the area under the ROC curve in subgroup of estimated glomerular filtration rate (eGFR) > 20 mL/min/1.73 m2 (n = 38, 0.978 vs. 0.923) showed the potential of NGAL predictability.


Serum NGAL might predict the neurological outcomes of PCAS patients, and its predictive value was equivalent to that of NSE.
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