A Population Pharmacokinetic Model for 51 Cr EDTA to Estimate Renal Function
Cr EDTA clearance (CL) from plasma is used to estimate glomerular filtration rate (GFR). We propose that current methods for analysing the raw Cr EDTA measurements over-simplifies the disposition of Cr EDTA and therefore could produce biased GFR estimates. The aim of this study was to develop a popu...
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Veröffentlicht in: | Clinical pharmacokinetics 2017-06, Vol.56 (6), p.671 |
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creator | Kuan, Isabelle H S Duffull, Stephen B Putt, Tracey L Schollum, John B W Walker, Robert J Wright, Daniel F B |
description | Cr EDTA clearance (CL) from plasma is used to estimate glomerular filtration rate (GFR). We propose that current methods for analysing the raw
Cr EDTA measurements over-simplifies the disposition of
Cr EDTA and therefore could produce biased GFR estimates. The aim of this study was to develop a population pharmacokinetic model for
Cr EDTA disposition and to compare model-predicted GFR to other methods of estimating renal function.
Data from 40 individuals who received ~7.4 MBq of
Cr EDTA, as an intravenous bolus, were available for analysis. Plasma radioactivity (counts/min) was measured from timed collection points at 2, 4, 6 and 24 h after the dose. A population analysis was conducted using NONMEM
version 7.2. Model-predicted GFR was compared with other methods for estimating renal function using mean prediction error (MPE).
A two-compartment pharmacokinetic model with first-order elimination best fit the data. Compared with the model predictions, creatinine CL from 24 h urine data was unbiased. The commonly used 'slope-intercept' method for estimating isotopic GFR was positively biased compared with the model (MPE 15.5 mL/min/1.73 m
[95% confidence interval {CI} 8.9-22.2]. The Cockcroft Gault, Modification of Diet in Renal Disease (MDRD) and Chronic Kidney Disease Epidemiology Collaboration (CKD-Epi) equations led to negatively biased GFR estimates (MPE -19.0 [95% CI -25.4 to -12.7], -20.1 [95% CI -27.2 to -13.1] and -16.5 [95% CI -22.2 to -10.1] mL/min/1.73 m
, respectively).
The biased GFR estimates were most obvious in patients with relatively normal renal function. This may lead to inaccurate dosing in patients who are receiving drugs with a narrow therapeutic range where dosing is adjusted according to GFR estimates (e.g. carboplatin).
The study is registered with the Australian New Zealand Clinical Trials Registry (ANZCTR), number: ACTRN 12611000035921. |
format | Article |
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Cr EDTA measurements over-simplifies the disposition of
Cr EDTA and therefore could produce biased GFR estimates. The aim of this study was to develop a population pharmacokinetic model for
Cr EDTA disposition and to compare model-predicted GFR to other methods of estimating renal function.
Data from 40 individuals who received ~7.4 MBq of
Cr EDTA, as an intravenous bolus, were available for analysis. Plasma radioactivity (counts/min) was measured from timed collection points at 2, 4, 6 and 24 h after the dose. A population analysis was conducted using NONMEM
version 7.2. Model-predicted GFR was compared with other methods for estimating renal function using mean prediction error (MPE).
A two-compartment pharmacokinetic model with first-order elimination best fit the data. Compared with the model predictions, creatinine CL from 24 h urine data was unbiased. The commonly used 'slope-intercept' method for estimating isotopic GFR was positively biased compared with the model (MPE 15.5 mL/min/1.73 m
[95% confidence interval {CI} 8.9-22.2]. The Cockcroft Gault, Modification of Diet in Renal Disease (MDRD) and Chronic Kidney Disease Epidemiology Collaboration (CKD-Epi) equations led to negatively biased GFR estimates (MPE -19.0 [95% CI -25.4 to -12.7], -20.1 [95% CI -27.2 to -13.1] and -16.5 [95% CI -22.2 to -10.1] mL/min/1.73 m
, respectively).
The biased GFR estimates were most obvious in patients with relatively normal renal function. This may lead to inaccurate dosing in patients who are receiving drugs with a narrow therapeutic range where dosing is adjusted according to GFR estimates (e.g. carboplatin).
The study is registered with the Australian New Zealand Clinical Trials Registry (ANZCTR), number: ACTRN 12611000035921.</description><identifier>EISSN: 1179-1926</identifier><identifier>PMID: 27943221</identifier><language>eng</language><publisher>Switzerland</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Chromium Radioisotopes ; Edetic Acid - blood ; Edetic Acid - pharmacokinetics ; Female ; Glomerular Filtration Rate ; Humans ; Kidney - physiology ; Kidney Diseases - blood ; Kidney Diseases - physiopathology ; Male ; Models, Biological ; Young Adult</subject><ispartof>Clinical pharmacokinetics, 2017-06, Vol.56 (6), p.671</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27943221$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kuan, Isabelle H S</creatorcontrib><creatorcontrib>Duffull, Stephen B</creatorcontrib><creatorcontrib>Putt, Tracey L</creatorcontrib><creatorcontrib>Schollum, John B W</creatorcontrib><creatorcontrib>Walker, Robert J</creatorcontrib><creatorcontrib>Wright, Daniel F B</creatorcontrib><title>A Population Pharmacokinetic Model for 51 Cr EDTA to Estimate Renal Function</title><title>Clinical pharmacokinetics</title><addtitle>Clin Pharmacokinet</addtitle><description>Cr EDTA clearance (CL) from plasma is used to estimate glomerular filtration rate (GFR). We propose that current methods for analysing the raw
Cr EDTA measurements over-simplifies the disposition of
Cr EDTA and therefore could produce biased GFR estimates. The aim of this study was to develop a population pharmacokinetic model for
Cr EDTA disposition and to compare model-predicted GFR to other methods of estimating renal function.
Data from 40 individuals who received ~7.4 MBq of
Cr EDTA, as an intravenous bolus, were available for analysis. Plasma radioactivity (counts/min) was measured from timed collection points at 2, 4, 6 and 24 h after the dose. A population analysis was conducted using NONMEM
version 7.2. Model-predicted GFR was compared with other methods for estimating renal function using mean prediction error (MPE).
A two-compartment pharmacokinetic model with first-order elimination best fit the data. Compared with the model predictions, creatinine CL from 24 h urine data was unbiased. The commonly used 'slope-intercept' method for estimating isotopic GFR was positively biased compared with the model (MPE 15.5 mL/min/1.73 m
[95% confidence interval {CI} 8.9-22.2]. The Cockcroft Gault, Modification of Diet in Renal Disease (MDRD) and Chronic Kidney Disease Epidemiology Collaboration (CKD-Epi) equations led to negatively biased GFR estimates (MPE -19.0 [95% CI -25.4 to -12.7], -20.1 [95% CI -27.2 to -13.1] and -16.5 [95% CI -22.2 to -10.1] mL/min/1.73 m
, respectively).
The biased GFR estimates were most obvious in patients with relatively normal renal function. This may lead to inaccurate dosing in patients who are receiving drugs with a narrow therapeutic range where dosing is adjusted according to GFR estimates (e.g. carboplatin).
The study is registered with the Australian New Zealand Clinical Trials Registry (ANZCTR), number: ACTRN 12611000035921.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Chromium Radioisotopes</subject><subject>Edetic Acid - blood</subject><subject>Edetic Acid - pharmacokinetics</subject><subject>Female</subject><subject>Glomerular Filtration Rate</subject><subject>Humans</subject><subject>Kidney - physiology</subject><subject>Kidney Diseases - blood</subject><subject>Kidney Diseases - physiopathology</subject><subject>Male</subject><subject>Models, Biological</subject><subject>Young Adult</subject><issn>1179-1926</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFjU8LgjAcQEcQaX--Qvy-gLDNyjyKTToUSHiXpZNWc5NtHvr2FdS507u8x5ugkJAkjUhKdwGaO3fHGO8pxjMU0CTdxJSSEJ0yKM0wKu6l0VDeuO15Yx5SCy8bOJtWKOiMhS2B3AI7VBl4A8x52XMv4CI0V1CMuvn0SzTtuHJi9eUCrQtW5cdoGK-9aOvBviv7rH_7-K_wAufXORo</recordid><startdate>201706</startdate><enddate>201706</enddate><creator>Kuan, Isabelle H S</creator><creator>Duffull, Stephen B</creator><creator>Putt, Tracey L</creator><creator>Schollum, John B W</creator><creator>Walker, Robert J</creator><creator>Wright, Daniel F B</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope></search><sort><creationdate>201706</creationdate><title>A Population Pharmacokinetic Model for 51 Cr EDTA to Estimate Renal Function</title><author>Kuan, Isabelle H S ; Duffull, Stephen B ; Putt, Tracey L ; Schollum, John B W ; Walker, Robert J ; Wright, Daniel F B</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-pubmed_primary_279432213</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Chromium Radioisotopes</topic><topic>Edetic Acid - blood</topic><topic>Edetic Acid - pharmacokinetics</topic><topic>Female</topic><topic>Glomerular Filtration Rate</topic><topic>Humans</topic><topic>Kidney - physiology</topic><topic>Kidney Diseases - blood</topic><topic>Kidney Diseases - physiopathology</topic><topic>Male</topic><topic>Models, Biological</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kuan, Isabelle H S</creatorcontrib><creatorcontrib>Duffull, Stephen B</creatorcontrib><creatorcontrib>Putt, Tracey L</creatorcontrib><creatorcontrib>Schollum, John B W</creatorcontrib><creatorcontrib>Walker, Robert J</creatorcontrib><creatorcontrib>Wright, Daniel F B</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><jtitle>Clinical pharmacokinetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kuan, Isabelle H S</au><au>Duffull, Stephen B</au><au>Putt, Tracey L</au><au>Schollum, John B W</au><au>Walker, Robert J</au><au>Wright, Daniel F B</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Population Pharmacokinetic Model for 51 Cr EDTA to Estimate Renal Function</atitle><jtitle>Clinical pharmacokinetics</jtitle><addtitle>Clin Pharmacokinet</addtitle><date>2017-06</date><risdate>2017</risdate><volume>56</volume><issue>6</issue><spage>671</spage><pages>671-</pages><eissn>1179-1926</eissn><abstract>Cr EDTA clearance (CL) from plasma is used to estimate glomerular filtration rate (GFR). We propose that current methods for analysing the raw
Cr EDTA measurements over-simplifies the disposition of
Cr EDTA and therefore could produce biased GFR estimates. The aim of this study was to develop a population pharmacokinetic model for
Cr EDTA disposition and to compare model-predicted GFR to other methods of estimating renal function.
Data from 40 individuals who received ~7.4 MBq of
Cr EDTA, as an intravenous bolus, were available for analysis. Plasma radioactivity (counts/min) was measured from timed collection points at 2, 4, 6 and 24 h after the dose. A population analysis was conducted using NONMEM
version 7.2. Model-predicted GFR was compared with other methods for estimating renal function using mean prediction error (MPE).
A two-compartment pharmacokinetic model with first-order elimination best fit the data. Compared with the model predictions, creatinine CL from 24 h urine data was unbiased. The commonly used 'slope-intercept' method for estimating isotopic GFR was positively biased compared with the model (MPE 15.5 mL/min/1.73 m
[95% confidence interval {CI} 8.9-22.2]. The Cockcroft Gault, Modification of Diet in Renal Disease (MDRD) and Chronic Kidney Disease Epidemiology Collaboration (CKD-Epi) equations led to negatively biased GFR estimates (MPE -19.0 [95% CI -25.4 to -12.7], -20.1 [95% CI -27.2 to -13.1] and -16.5 [95% CI -22.2 to -10.1] mL/min/1.73 m
, respectively).
The biased GFR estimates were most obvious in patients with relatively normal renal function. This may lead to inaccurate dosing in patients who are receiving drugs with a narrow therapeutic range where dosing is adjusted according to GFR estimates (e.g. carboplatin).
The study is registered with the Australian New Zealand Clinical Trials Registry (ANZCTR), number: ACTRN 12611000035921.</abstract><cop>Switzerland</cop><pmid>27943221</pmid></addata></record> |
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source | MEDLINE; SpringerNature Journals |
subjects | Adult Aged Aged, 80 and over Chromium Radioisotopes Edetic Acid - blood Edetic Acid - pharmacokinetics Female Glomerular Filtration Rate Humans Kidney - physiology Kidney Diseases - blood Kidney Diseases - physiopathology Male Models, Biological Young Adult |
title | A Population Pharmacokinetic Model for 51 Cr EDTA to Estimate Renal Function |
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