Discriminator value of Han Chinese albumin creatinine ratio for detecting microalbuminuria
10.3760/cma.j.issn.1001-7097.2010.11.001
- VernacularTitle:中国汉族人以尿白蛋白肌酐比值诊断微量白蛋白尿的界值研究
- Author:
Xiaohong FAN
;
Jianfang CAI
;
Bixia GAO
;
Lijun MOU
;
Jinhong LI
;
Xuejiao LIU
;
Junxue WU
;
Qingyan MENG
;
Haiyun WANG
;
Lili LIU
;
Hang LI
;
Xuemei LI
;
Xuewang LI
- Publication Type:Journal Article
- Keywords:
Albuminuria;
Urinalysis;
Albumin-creatinine ratio;
microalbuminuria;
Receiver operator characteristic curve
- From:
Chinese Journal of Nephrology
2010;26(11):807-811
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the discriminator value of Han Chinese first morning urine albumin creatinine ratio (ACR) for determining the microalbuminuria. Methods A total of 1056 participants (494 males and 562 females) were selected from epidemiologic study of the metabolic syndrome and chronic kidney disease in Pinggu district, Beijing. Eight-hour overnight urinary albumin excretion (UAE) was regarded as the gold standard for defining the albuminuria,and the ROC curve analysis was used to determine the ACR discriminator value for microalbuminuria. Results (1)Microalbuminuria was found in 12.5% of participants,macroalbuminuria in 1.7%. (2)The ACR discriminator value for microalbuminuria by ROC curve analysis was 1.95 g/mol (sensitivity 97.6% and specitivity 88.6%) for men, 3.62 g/mol(sensitivity 83.8% and specitivity 89.1%) for women, 2.78 g/mol (sensitivity 88.7% and specitivity 85.9%)for overall. The upper boundary of microalbuminuria by ROC curve analysis was 22.59 g/mol (sensitivity 100.0% and specitivity 98.8%) . (3)The inter-rater agreement of the result in this study showed that sensitivity was 91.3% and specitivity was 88.2%, positive likelihood ratio was 7.56 and negative likelihood ratio was 0.10, positive predictive value was 56.9% and negative predictive value was 98.4%. Conclusions The ACR discriminator value for determining microalbuminuria is obviously higher in women than that in men, and is higher than recommendation of international guidelines. The result by ROC curve analysis has better sensitivity and specitivity.
