Evaluation of diagnostic indicators in chronic renal failure
10.3969/j.issn.1673-4130.2016.02.002
- VernacularTitle:综合评价慢性肾衰竭常用检测指标的临床价值
- Author:
Lujiang YI
;
Jianfeng MA
- Publication Type:Journal Article
- Keywords:
kidney failure,chronic;
cysteine protease inhibitor;
creatinine clearance rate
- From:
International Journal of Laboratory Medicine
2016;(2):147-149,152
- CountryChina
- Language:Chinese
-
Abstract:
Objective To evaluate the clinical values of endogenous creatinine clearance rate(Ccr) ,serum creatinine (SCr) ,urea nitrogen(Urea) ,serum cystatin C(s‐Cys‐C) ,serum retinol binding protein(s‐RBP) ,Urine total protein (u‐Pro) ,urine albumin and creatinine ratio(u‐Alb/Cr) ,urine RBP(u‐RBP) ,urine Cys‐C(u‐Cys‐C) ,u‐NAG and et al in the diagnosis of chronic renal failure (CRF) ,find suitable and effective detection combinations to increase the diagnostic accuracy of CRF .Methods SCr ,Urea ,s‐Cys‐C , s‐RBP ,u‐Pro ,u‐Alb/Cr ,u‐RBP ,u‐Cys‐C ,u‐NAG were detected respectively in 206 hospitalized patients and Ccr values were calcu‐lated at the same time .By using Excel and SPSS19 .0 softwares ,the data were analysed .Combined detections included two and four items combined detections .Results Youden index(YI) of serum Cys‐C was 0 .59 .Area under the curve in the receiver operating characteristic(ROC) of Cys‐C was 0 .872 which was the highest of all the single detection items .Combined detection of SCr and s‐Cys‐C got the highest YI (0 .60) .Combination of four items(Urea ,SCr ,s‐RBP ,s‐Cys‐C) had the highest positive predictive value (100 .00% ) .Combination of u‐RBP and u‐Cys‐C had the highest negative predictive value(100 .00% ) .Conclusion Combined detec‐tion was more favorable for CRF diagnosis .Combination detection of SCr and s‐Cys‐C was the most valuable detection for the diag‐nosis of CRF .Among single item detections ,s‐Cys‐C detection had better sensitivity and specificity ,and diagnostic efficiency than other detection items .U‐RBP and u‐Cys‐C could be used to exclude renal impairment due to its noninvasive sampling .
