Literature DB >> 18480748

Screening and monitoring for albuminuria: the performance of the HemoCue point-of-care system.

Hiddo J Lambers Heerspink1, Elsbeth C Witte, Stephan J L Bakker, Paul E de Jong, Dick de Zeeuw, Ron T Gansevoort.   

Abstract

Obtaining immediate results makes testing for albuminuria at the point of care far superior to central laboratory assays. Here we determined if a quantitative desk-top system could identify and monitor patients with microalbuminuria. Urinary albumin excretion was measured in 259 patients of a population cohort study where they collected 24-h urines and first morning void samples prior to three clinic visits at three week intervals. The albumin concentration was determined with both an in-office HemoCue Albumin 201 system and a central laboratory BNII nephelometer. The median (interquartile-range) urinary albumin concentration in the first morning void, intra-individual variability in patients excreting more than 30 mg/day and the prediction of microalbuminuria in subsequent 24-h collections measured by each technique were statistically indistinguishable. The HemoCue system met the FDA criterion for precision while being at its border for accuracy. Our study shows that determination of urinary albumin concentration in a first morning void by the HemoCue point-of-care system provides a good alternative to central laboratory analysis identifying and monitoring patients with microalbuminuria.

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Year:  2008        PMID: 18480748     DOI: 10.1038/ki.2008.186

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  3 in total

1.  Albumin testing in urine using a smart-phone.

Authors:  Ahmet F Coskun; Richie Nagi; Kayvon Sadeghi; Stephen Phillips; Aydogan Ozcan
Journal:  Lab Chip       Date:  2013-11-07       Impact factor: 6.799

2.  Diabetes care in the dispersed population of Greenland. A new model based on continued monitoring, analysis and adjustment of initiatives taken.

Authors:  Michael Lynge Pedersen
Journal:  Int J Circumpolar Health       Date:  2019       Impact factor: 1.228

3.  Prevalence of chronic kidney disease and risk factors in North-Central Nigeria: a population-based survey.

Authors:  Timothy Olusegun Olanrewaju; Ademola Aderibigbe; Ademola Alabi Popoola; Kolawole Thomas Braimoh; Mikhail Olayinka Buhari; Olanrewaju Timothy Adedoyin; Sulyman Alege Kuranga; Sikiru Abayomi Biliaminu; Adindu Chijioke; Abdulwahab Akanbi Ajape; Diederick E Grobbee; Peter J Blankestijn; Kerstin Klipstein-Grobusch
Journal:  BMC Nephrol       Date:  2020-11-10       Impact factor: 2.388

  3 in total

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