Literature DB >> 22008591

Establishment of a method to detect microalbuminuria by measuring the total urinary protein-to-creatinine ratio in diabetic patients.

Kyoko Yamamoto1, Yasuhiro Komatsu, Hiroyuki Yamamoto, Hiroko Izumo, Kyo Sanoyama, Masami Monden, Kyoko Takeda, Fumiko Nakahara, Katsumi Yoshida.   

Abstract

Diabetes and chronic kidney disease (CKD) which are risk facters of cardiovascular disease, are increasing global public health problems. Microalbuminuria is an early sign of progressive cardiovascular and renal disease in individuals with or without diabetes. Screening for microalbuminuria and early treatment are recommended for patients with increased cardiovascular and renal risk factors. However, the procedure used to measure urinary albumin is expensive. Alternatively, the measurement of total urinary protein is simple and inexpensive. Thus, we aimed to establish a method that could predict the presence of microalbuminuria by measuring the total protein-to-creatinine ratio. Spot urine samples were obtained from 150 patients with diabetes mellitus, and the total protein-to-creatinine ratio and the albumin-to-creatinine ratio (ACR) were measured. There was a significant positive correlation between the protein-to-creatinine ratio and the ACR (r = 0.95). The presence of albuminuria (both micro- and macroalbuminuria) could be predicted from the value of the protein-to-creatinine ratio in more than 90% of patients. A receiver-operating characteristic curve analysis revealed that the protein-to-creatinine ratio had a sensitivity and a specificity of 90.8% and 91.9%, respectively, for the detection of albuminuria and a cutoff value of 0.091 g/g creatinine. These results suggest that screening for microalbuminuria can be replaced by the detection of the protein-to-creatinine ratio, which may be cost-effective for patients with cardiovascular risks as well as for the general population.

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Year:  2011        PMID: 22008591     DOI: 10.1620/tjem.225.195

Source DB:  PubMed          Journal:  Tohoku J Exp Med        ISSN: 0040-8727            Impact factor:   1.848


  3 in total

1.  The total urine protein-to-creatinine ratio can predict the presence of microalbuminuria.

Authors:  Kyoko Yamamoto; Hiroyuki Yamamoto; Katsumi Yoshida; Koichiro Niwa; Yutaro Nishi; Atsushi Mizuno; Masanari Kuwabara; Taku Asano; Kunihiro Sakoda; Hiroyuki Niinuma; Fumiko Nakahara; Kyoko Takeda; Chiyohiko Shindoh; Yasuhiro Komatsu
Journal:  PLoS One       Date:  2014-03-10       Impact factor: 3.240

2.  A Cost-Benefit and Accurate Method for Assessing Microalbuminuria: Single versus Frequent Urine Analysis.

Authors:  Roholla Hemmati; Mojgan Gharipour; Alireza Khosravi; Mahnaz Jozan
Journal:  Int J Hypertens       Date:  2013-12-25       Impact factor: 2.420

3.  Urinary Biomarkers KIM-1 and NGAL for Detection of Chronic Kidney Disease of Uncertain Etiology (CKDu) among Agricultural Communities in Sri Lanka.

Authors:  Pallagae Mangala C S De Silva; Khaja Shameem Mohammed Abdul; Eakanayake M D V Eakanayake; Sudheera Sammanthi Jayasinghe; Channa Jayasumana; Hewa Bandulage Asanthi; Hettiarachigae S D Perera; Gamage G Tushara Chaminda; Ediriweera P S Chandana; Sisira H Siribaddana
Journal:  PLoS Negl Trop Dis       Date:  2016-09-19
  3 in total

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