Mosaic single plasma sample method for measuring glomerular filtration rate

Chun Ki Kim, D. G. Religioso

Research output: Contribution to journalArticle

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Abstract

Seven single plasma sample methods for measuring glomerular filtration rate (GFR) were evaluated. When compared with GFRs calculated from a slope/intercept method proposed by Russell et al. [6] (using 1 h and 3 h plasma samples) as a reference standard, each single-sample method produced better results in different ranges of GFR (3 h plasma sample was used for all seven single-sample methods). Combining the best single-sample method in each range (mosaic) resulted in a regression line of i/ = 0.98x + 1.0, with a correlation coefficient of 0.980 and a standard error of estimate of 6.5 ml min 1 in 294 samples. This mosaic method yielded more accurate and realistic GFR values than any other individual single-sample method.

Original languageEnglish
Pages (from-to)952-956
Number of pages5
JournalNuclear Medicine Communications
Volume17
Issue number11
DOIs
StatePublished - 1996 Jan 1

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Glomerular Filtration Rate

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Mosaic single plasma sample method for measuring glomerular filtration rate. / Kim, Chun Ki; Religioso, D. G.

In: Nuclear Medicine Communications, Vol. 17, No. 11, 01.01.1996, p. 952-956.

Research output: Contribution to journalArticle

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AU - Kim, Chun Ki

AU - Religioso, D. G.

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AB - Seven single plasma sample methods for measuring glomerular filtration rate (GFR) were evaluated. When compared with GFRs calculated from a slope/intercept method proposed by Russell et al. [6] (using 1 h and 3 h plasma samples) as a reference standard, each single-sample method produced better results in different ranges of GFR (3 h plasma sample was used for all seven single-sample methods). Combining the best single-sample method in each range (mosaic) resulted in a regression line of i/ = 0.98x + 1.0, with a correlation coefficient of 0.980 and a standard error of estimate of 6.5 ml min 1 in 294 samples. This mosaic method yielded more accurate and realistic GFR values than any other individual single-sample method.

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