Abstract: Objective To study the predictive value of plasma neutrophil gelatinase-associated lipocalin （NGAL） and B-type Natriuretic peptide（BNP）levels on renal function recovery in patients with acute kidney injury（AKI）. Methods A total of 130 AKI patients admitted to our hospital between January 2017 and December 2020 were selected. Based on whether AKI recovery or not,patients were divided into two groups：the AKI recovery group（84 cases）and the AKI non-recovery group （46 cases）. Clinical data, plasma NGAL and BNP levels were compared between two groups. The predictive value of plasma NGAL and BNP levels on renal function recovery was analyzed by ROC curve. Results The APACHE Ⅱ score and SOFA score in AKI recovery group were significantly lower than those in non-recovery group（P<0.05）,and there was no significant difference in the baseline serum Cr levels with AKI onset time between two groups（P>0.05）. At time of AKI diagnosis,the serum levels of Cr, NGAL and BNP in AKI recovery group were significantly lower than those in non-recovery group（P<0.05）. The in-hospital mortality and 28-day mortality of patients in AKI recovery group were significantly lower than those in non-recovery group（P<0.05）. The average length of stay（ALOS） in AKI recovery group was 18.48±4.22 days,which was significantly shorter than that in non-recovery group（21.04 ±6.41 days,P<0.05）. The AUC of NGAL for AKI recovery was 0.684 with a sensitivity of 92.48% and a specificity of 41.09%. The AUC,sensitivity and specificity of BNP for predicting AKI function recovery was 0.784,84.23% and 64.21% respectively. The AUC of NGAL in combination with BNP to predict the recovery of renal function in AKI patients was 0.803, with a sensitivity of 93.84% and a specificity of 59.06%. Conclusion NGAL,BNP alone and their combination have a certain predictive value on renal function recovery in AKI patients. NGAL combined with BNP has a better sensitivity to predict renal function recovery in AKI.

Key words: Acute kidney injury, Renal function recovery, NGAL, BNP Prediction