Combined detection of markers in the early diagnosis of acute kidney injury following cardiac surgery
10.3760/cma.j.issn.1001-7097.2011.03.007
- VernacularTitle:联合应用标志物在心脏手术后急性肾损伤的早期诊断
- Author:
Miaolin CHE
;
Jiaqi QIAN
;
Huili DAI
;
Qingwei WU
;
Zhaohui NI
;
Song XUE
;
Yucheng YAN
- Publication Type:Journal Article
- Keywords:
Renal insufficiency,acute;
Cardiac surgery procedure;
Diagnosis;
Biomarker
- From:
Chinese Journal of Nephrology
2011;27(3):164-169
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the markers in early diagnosis of acute kidney injury (AKI) in patients undergoing heart surgery.Methods Markers included serum cystatin C (CyC),and urinary neutrophil gelatinase-associated lipocalin(NGAL),interleukin 18(IL-18),retinol binding protein(RBP)and N-acetyl-β-D-glucosaminidase(NAG).Twenty-nine cardiac surgical patients hospitalized were enrolled in the study.Serial blood and urine samples were collected immediately before incision and at various time intervals after surgery.The primary outcome measure was AKI.defined as a 50%increase in Scr from baseline. Results The cohort consisted of 29 patients aged(62.9±13.7)years,and baseline Scr was(73.2±11.9)μmol/L.There were no significant differences in demographics between cases and controls,while the aortic clamp time was predictably longer in AKI cases as compared to controls[(60.63±13.92)vs(43.00±9.20)rain,P<0.05].Each biomarker difiered significantly between cases and controls at least one timepoint.Optimal AUCs were for CyC at 10 houm with sensitivity (ST)0.71,specificity(SP)0.92,AUC=0.83(0.67-1.00),cut-off(CO)1.31 mg/L;NGAL at 0 hour with ST 0.84,SP 0.80,Auc=0.85(0.70-1.00),CO 49.15 μg/g Ucr;IL-18 at 2 hours with ST 0.85,SP 0.73,AUC=0.81(0.64-0.97),CO 285.65 ng/g Ucr;RBP at 0 hour with ST 0.75,SP 0.67,AUC=0.77(0.60-0.95),CO 2934.65μg/g Ucr and NAG at 4 hours with ST 0.86,SP 0.67,AUC=0.72(0.53-O.92),CO 37.05 U/mg Ucr.Using a combination of all the 5 biomarkers analyzed at the optimal time-point as above,an AUC of 0.98(0.93-1.02)(P<0.01)in this limited sample was able to obtain. Conclusions Application of serum and urinary biomarkers for the prediction of AKI in patients undergoing cardiac surgery is highly dependent on the sampling time.Of the evaluated markers,uNGAL has the best predictive profile.uRBP also shows similar predictive power.Combining all the five above biomarkers is able to predict significantly more cases,suggesting that the use of more than one marker may be beneficial clinically.
