Glomerular filtration rate in critically ill neonates and children: creatinine-based estimations versus iohexol-based measurements
Background Acute kidney injury (AKI) and augmented renal clearance (ARC), both alterations of the glomerular filtration rate (GFR), are prevalent in critically ill children and neonates. AKI and ARC prevalence estimates are based on estimation of GFR (eGFR) using serum creatinine (SCr), which is kno...
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Veröffentlicht in: | Pediatric nephrology (Berlin, West) West), 2023-04, Vol.38 (4), p.1087-1097 |
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creator | Smeets, Nori J. L. Teunissen, Esther M. M. van der Velden, Kim van der Burgh, Maurice J. P. Linders, Demi E. Teesselink, Elodie Moes, Dirk-Jan A. R. Tøndel, Camilla ter Heine, Rob van Heijst, Arno Schreuder, Michiel F. de Wildt, Saskia N. |
description | Background
Acute kidney injury (AKI) and augmented renal clearance (ARC), both alterations of the glomerular filtration rate (GFR), are prevalent in critically ill children and neonates. AKI and ARC prevalence estimates are based on estimation of GFR (eGFR) using serum creatinine (SCr), which is known to be inaccurate. We aimed to test our hypothesis that AKI prevalence will be higher and ARC prevalence will be lower in critically ill children when using iohexol-based measured GFR (mGFR), rather than using eGFR. Additionally, we aimed to investigate the performance of different SCr-based eGFR methods.
Methods
In this single-center prospective study, critically ill term-born neonates and children were included. mGFR was calculated using a plasma disappearance curve after parenteral administration of iohexol. AKI diagnosis was based on the KDIGO criteria, SCr-based eGFR, and creatinine clearance (CrCL). Differences between eGFR and mGFR were determined using Wilcoxon signed-rank tests and by calculating bias and accuracy (percentage of eGFR values within 30% of mGFR values).
Results
One hundred five children, including 43 neonates, were included. AKI prevalence was higher based on mGFR (48%), than with KDIGO or eGFR (11–40%). ARC prevalence was lower with mGFR (24%) compared to eGFR (38–51%). eGFR equations significantly overestimated mGFR (60–71 versus 41 ml/min/1.73 m
2
,
p
|
doi_str_mv | 10.1007/s00467-022-05651-w |
format | Article |
fullrecord | <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9925555</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A737064683</galeid><sourcerecordid>A737064683</sourcerecordid><originalsourceid>FETCH-LOGICAL-c610t-ae45315e267b215eacfe017a4de9ecfbd9cbcfc9b87bfc0c81d2473bc63cda783</originalsourceid><addsrcrecordid>eNp9kkFv1DAQhSMEokvhD3BAlpC4udhxYicckKoKClIlLiD1ZjnOZOPKsYudtPTKL2fYXdqutCI5zGG-92zPvKJ4zdkJZ0y9z4xVUlFWlpTVsub09kmx4pUoKW-by6fFirWCU1bxy6PiRc5XjLGmbuTz4kjULZdtLVfF73MfJ0iLN4kMzs_JzC4GggWIC8QmNztrvL8jznsSIAbsZGJCT-zofJ8gfEAKUBZcANqZDD2BPLtp45TJDaS8ZOLiCL-i3wETmLwkmCDM-WXxbDA-w6tdPS5-fP70_ewLvfh2_vXs9IJaydlMDVS14DWUUnUlVmMHYFyZqocW7ND1re3sYNuuUd1gmW14X1ZKdFYK2xvViOPi49b3eukm6C2enYzX1wmvmu50NE7vd4Ib9Tre6LYta_zQ4O3OIMWfC75RX8UlBbyzLpWqmwqXoB6otfGgXRgimtnJZatPlVBMVrIRSNED1BoC4MkxAO4C9vmTAzz-PUzOHhS8eyQYwfh5zNEvm6Xsg-UWtCnmnGC4nwhn-m_O9DZnGnOmNznTtyh683iW95J_wUJAbIGMrbCG9DCr_9j-Ae3n4lM</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2775845657</pqid></control><display><type>article</type><title>Glomerular filtration rate in critically ill neonates and children: creatinine-based estimations versus iohexol-based measurements</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>Smeets, Nori J. L. ; Teunissen, Esther M. M. ; van der Velden, Kim ; van der Burgh, Maurice J. P. ; Linders, Demi E. ; Teesselink, Elodie ; Moes, Dirk-Jan A. R. ; Tøndel, Camilla ; ter Heine, Rob ; van Heijst, Arno ; Schreuder, Michiel F. ; de Wildt, Saskia N.</creator><creatorcontrib>Smeets, Nori J. L. ; Teunissen, Esther M. M. ; van der Velden, Kim ; van der Burgh, Maurice J. P. ; Linders, Demi E. ; Teesselink, Elodie ; Moes, Dirk-Jan A. R. ; Tøndel, Camilla ; ter Heine, Rob ; van Heijst, Arno ; Schreuder, Michiel F. ; de Wildt, Saskia N.</creatorcontrib><description>Background
Acute kidney injury (AKI) and augmented renal clearance (ARC), both alterations of the glomerular filtration rate (GFR), are prevalent in critically ill children and neonates. AKI and ARC prevalence estimates are based on estimation of GFR (eGFR) using serum creatinine (SCr), which is known to be inaccurate. We aimed to test our hypothesis that AKI prevalence will be higher and ARC prevalence will be lower in critically ill children when using iohexol-based measured GFR (mGFR), rather than using eGFR. Additionally, we aimed to investigate the performance of different SCr-based eGFR methods.
Methods
In this single-center prospective study, critically ill term-born neonates and children were included. mGFR was calculated using a plasma disappearance curve after parenteral administration of iohexol. AKI diagnosis was based on the KDIGO criteria, SCr-based eGFR, and creatinine clearance (CrCL). Differences between eGFR and mGFR were determined using Wilcoxon signed-rank tests and by calculating bias and accuracy (percentage of eGFR values within 30% of mGFR values).
Results
One hundred five children, including 43 neonates, were included. AKI prevalence was higher based on mGFR (48%), than with KDIGO or eGFR (11–40%). ARC prevalence was lower with mGFR (24%) compared to eGFR (38–51%). eGFR equations significantly overestimated mGFR (60–71 versus 41 ml/min/1.73 m
2
,
p
< 0.001–0.002). Accuracy was highest with eGFR equations based on age- and sex-dependent equations (up to 59%).
Conclusion
Iohexol-based AKI prevalence was higher and ARC prevalence lower compared to standard SCr-based eGFR methods. Age- and sex-dependent equations for eGFR (eGFR-Smeets for neonates and eGFR-Pierce for children) best approached measured GFR and should preferably be used to optimize diagnosis of AKI and ARC in this population.
Graphical Abstract
A higher resolution version of the Graphical abstract is available as
Supplementary information</description><identifier>ISSN: 0931-041X</identifier><identifier>EISSN: 1432-198X</identifier><identifier>DOI: 10.1007/s00467-022-05651-w</identifier><identifier>PMID: 35916956</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Acute Kidney Injury - diagnosis ; Acute Kidney Injury - epidemiology ; Acute renal failure ; Child ; Children ; Creatinine ; Critical Illness ; Critically ill children ; Demographic aspects ; Diagnosis ; Epidermal growth factor receptors ; Evaluation ; Glomerular Filtration Rate ; Humans ; Infant, Newborn ; Iohexol ; Medicine ; Medicine & Public Health ; Neonates ; Nephrology ; Newborn babies ; Original ; Original Article ; Pediatrics ; Prospective Studies ; Risk factors ; Urology</subject><ispartof>Pediatric nephrology (Berlin, West), 2023-04, Vol.38 (4), p.1087-1097</ispartof><rights>The Author(s) 2022</rights><rights>2022. The Author(s).</rights><rights>COPYRIGHT 2023 Springer</rights><rights>The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c610t-ae45315e267b215eacfe017a4de9ecfbd9cbcfc9b87bfc0c81d2473bc63cda783</citedby><cites>FETCH-LOGICAL-c610t-ae45315e267b215eacfe017a4de9ecfbd9cbcfc9b87bfc0c81d2473bc63cda783</cites><orcidid>0000-0002-4927-2459</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00467-022-05651-w$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00467-022-05651-w$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35916956$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Smeets, Nori J. L.</creatorcontrib><creatorcontrib>Teunissen, Esther M. M.</creatorcontrib><creatorcontrib>van der Velden, Kim</creatorcontrib><creatorcontrib>van der Burgh, Maurice J. P.</creatorcontrib><creatorcontrib>Linders, Demi E.</creatorcontrib><creatorcontrib>Teesselink, Elodie</creatorcontrib><creatorcontrib>Moes, Dirk-Jan A. R.</creatorcontrib><creatorcontrib>Tøndel, Camilla</creatorcontrib><creatorcontrib>ter Heine, Rob</creatorcontrib><creatorcontrib>van Heijst, Arno</creatorcontrib><creatorcontrib>Schreuder, Michiel F.</creatorcontrib><creatorcontrib>de Wildt, Saskia N.</creatorcontrib><title>Glomerular filtration rate in critically ill neonates and children: creatinine-based estimations versus iohexol-based measurements</title><title>Pediatric nephrology (Berlin, West)</title><addtitle>Pediatr Nephrol</addtitle><addtitle>Pediatr Nephrol</addtitle><description>Background
Acute kidney injury (AKI) and augmented renal clearance (ARC), both alterations of the glomerular filtration rate (GFR), are prevalent in critically ill children and neonates. AKI and ARC prevalence estimates are based on estimation of GFR (eGFR) using serum creatinine (SCr), which is known to be inaccurate. We aimed to test our hypothesis that AKI prevalence will be higher and ARC prevalence will be lower in critically ill children when using iohexol-based measured GFR (mGFR), rather than using eGFR. Additionally, we aimed to investigate the performance of different SCr-based eGFR methods.
Methods
In this single-center prospective study, critically ill term-born neonates and children were included. mGFR was calculated using a plasma disappearance curve after parenteral administration of iohexol. AKI diagnosis was based on the KDIGO criteria, SCr-based eGFR, and creatinine clearance (CrCL). Differences between eGFR and mGFR were determined using Wilcoxon signed-rank tests and by calculating bias and accuracy (percentage of eGFR values within 30% of mGFR values).
Results
One hundred five children, including 43 neonates, were included. AKI prevalence was higher based on mGFR (48%), than with KDIGO or eGFR (11–40%). ARC prevalence was lower with mGFR (24%) compared to eGFR (38–51%). eGFR equations significantly overestimated mGFR (60–71 versus 41 ml/min/1.73 m
2
,
p
< 0.001–0.002). Accuracy was highest with eGFR equations based on age- and sex-dependent equations (up to 59%).
Conclusion
Iohexol-based AKI prevalence was higher and ARC prevalence lower compared to standard SCr-based eGFR methods. Age- and sex-dependent equations for eGFR (eGFR-Smeets for neonates and eGFR-Pierce for children) best approached measured GFR and should preferably be used to optimize diagnosis of AKI and ARC in this population.
Graphical Abstract
A higher resolution version of the Graphical abstract is available as
Supplementary information</description><subject>Acute Kidney Injury - diagnosis</subject><subject>Acute Kidney Injury - epidemiology</subject><subject>Acute renal failure</subject><subject>Child</subject><subject>Children</subject><subject>Creatinine</subject><subject>Critical Illness</subject><subject>Critically ill children</subject><subject>Demographic aspects</subject><subject>Diagnosis</subject><subject>Epidermal growth factor receptors</subject><subject>Evaluation</subject><subject>Glomerular Filtration Rate</subject><subject>Humans</subject><subject>Infant, Newborn</subject><subject>Iohexol</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Neonates</subject><subject>Nephrology</subject><subject>Newborn babies</subject><subject>Original</subject><subject>Original Article</subject><subject>Pediatrics</subject><subject>Prospective Studies</subject><subject>Risk factors</subject><subject>Urology</subject><issn>0931-041X</issn><issn>1432-198X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kkFv1DAQhSMEokvhD3BAlpC4udhxYicckKoKClIlLiD1ZjnOZOPKsYudtPTKL2fYXdqutCI5zGG-92zPvKJ4zdkJZ0y9z4xVUlFWlpTVsub09kmx4pUoKW-by6fFirWCU1bxy6PiRc5XjLGmbuTz4kjULZdtLVfF73MfJ0iLN4kMzs_JzC4GggWIC8QmNztrvL8jznsSIAbsZGJCT-zofJ8gfEAKUBZcANqZDD2BPLtp45TJDaS8ZOLiCL-i3wETmLwkmCDM-WXxbDA-w6tdPS5-fP70_ewLvfh2_vXs9IJaydlMDVS14DWUUnUlVmMHYFyZqocW7ND1re3sYNuuUd1gmW14X1ZKdFYK2xvViOPi49b3eukm6C2enYzX1wmvmu50NE7vd4Ib9Tre6LYta_zQ4O3OIMWfC75RX8UlBbyzLpWqmwqXoB6otfGgXRgimtnJZatPlVBMVrIRSNED1BoC4MkxAO4C9vmTAzz-PUzOHhS8eyQYwfh5zNEvm6Xsg-UWtCnmnGC4nwhn-m_O9DZnGnOmNznTtyh683iW95J_wUJAbIGMrbCG9DCr_9j-Ae3n4lM</recordid><startdate>20230401</startdate><enddate>20230401</enddate><creator>Smeets, Nori J. L.</creator><creator>Teunissen, Esther M. M.</creator><creator>van der Velden, Kim</creator><creator>van der Burgh, Maurice J. P.</creator><creator>Linders, Demi E.</creator><creator>Teesselink, Elodie</creator><creator>Moes, Dirk-Jan A. R.</creator><creator>Tøndel, Camilla</creator><creator>ter Heine, Rob</creator><creator>van Heijst, Arno</creator><creator>Schreuder, Michiel F.</creator><creator>de Wildt, Saskia N.</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QP</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-4927-2459</orcidid></search><sort><creationdate>20230401</creationdate><title>Glomerular filtration rate in critically ill neonates and children: creatinine-based estimations versus iohexol-based measurements</title><author>Smeets, Nori J. L. ; Teunissen, Esther M. M. ; van der Velden, Kim ; van der Burgh, Maurice J. P. ; Linders, Demi E. ; Teesselink, Elodie ; Moes, Dirk-Jan A. R. ; Tøndel, Camilla ; ter Heine, Rob ; van Heijst, Arno ; Schreuder, Michiel F. ; de Wildt, Saskia N.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c610t-ae45315e267b215eacfe017a4de9ecfbd9cbcfc9b87bfc0c81d2473bc63cda783</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Acute Kidney Injury - diagnosis</topic><topic>Acute Kidney Injury - epidemiology</topic><topic>Acute renal failure</topic><topic>Child</topic><topic>Children</topic><topic>Creatinine</topic><topic>Critical Illness</topic><topic>Critically ill children</topic><topic>Demographic aspects</topic><topic>Diagnosis</topic><topic>Epidermal growth factor receptors</topic><topic>Evaluation</topic><topic>Glomerular Filtration Rate</topic><topic>Humans</topic><topic>Infant, Newborn</topic><topic>Iohexol</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Neonates</topic><topic>Nephrology</topic><topic>Newborn babies</topic><topic>Original</topic><topic>Original Article</topic><topic>Pediatrics</topic><topic>Prospective Studies</topic><topic>Risk factors</topic><topic>Urology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Smeets, Nori J. L.</creatorcontrib><creatorcontrib>Teunissen, Esther M. M.</creatorcontrib><creatorcontrib>van der Velden, Kim</creatorcontrib><creatorcontrib>van der Burgh, Maurice J. P.</creatorcontrib><creatorcontrib>Linders, Demi E.</creatorcontrib><creatorcontrib>Teesselink, Elodie</creatorcontrib><creatorcontrib>Moes, Dirk-Jan A. R.</creatorcontrib><creatorcontrib>Tøndel, Camilla</creatorcontrib><creatorcontrib>ter Heine, Rob</creatorcontrib><creatorcontrib>van Heijst, Arno</creatorcontrib><creatorcontrib>Schreuder, Michiel F.</creatorcontrib><creatorcontrib>de Wildt, Saskia N.</creatorcontrib><collection>Springer Nature OA/Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Pediatric nephrology (Berlin, West)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Smeets, Nori J. L.</au><au>Teunissen, Esther M. M.</au><au>van der Velden, Kim</au><au>van der Burgh, Maurice J. P.</au><au>Linders, Demi E.</au><au>Teesselink, Elodie</au><au>Moes, Dirk-Jan A. R.</au><au>Tøndel, Camilla</au><au>ter Heine, Rob</au><au>van Heijst, Arno</au><au>Schreuder, Michiel F.</au><au>de Wildt, Saskia N.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Glomerular filtration rate in critically ill neonates and children: creatinine-based estimations versus iohexol-based measurements</atitle><jtitle>Pediatric nephrology (Berlin, West)</jtitle><stitle>Pediatr Nephrol</stitle><addtitle>Pediatr Nephrol</addtitle><date>2023-04-01</date><risdate>2023</risdate><volume>38</volume><issue>4</issue><spage>1087</spage><epage>1097</epage><pages>1087-1097</pages><issn>0931-041X</issn><eissn>1432-198X</eissn><abstract>Background
Acute kidney injury (AKI) and augmented renal clearance (ARC), both alterations of the glomerular filtration rate (GFR), are prevalent in critically ill children and neonates. AKI and ARC prevalence estimates are based on estimation of GFR (eGFR) using serum creatinine (SCr), which is known to be inaccurate. We aimed to test our hypothesis that AKI prevalence will be higher and ARC prevalence will be lower in critically ill children when using iohexol-based measured GFR (mGFR), rather than using eGFR. Additionally, we aimed to investigate the performance of different SCr-based eGFR methods.
Methods
In this single-center prospective study, critically ill term-born neonates and children were included. mGFR was calculated using a plasma disappearance curve after parenteral administration of iohexol. AKI diagnosis was based on the KDIGO criteria, SCr-based eGFR, and creatinine clearance (CrCL). Differences between eGFR and mGFR were determined using Wilcoxon signed-rank tests and by calculating bias and accuracy (percentage of eGFR values within 30% of mGFR values).
Results
One hundred five children, including 43 neonates, were included. AKI prevalence was higher based on mGFR (48%), than with KDIGO or eGFR (11–40%). ARC prevalence was lower with mGFR (24%) compared to eGFR (38–51%). eGFR equations significantly overestimated mGFR (60–71 versus 41 ml/min/1.73 m
2
,
p
< 0.001–0.002). Accuracy was highest with eGFR equations based on age- and sex-dependent equations (up to 59%).
Conclusion
Iohexol-based AKI prevalence was higher and ARC prevalence lower compared to standard SCr-based eGFR methods. Age- and sex-dependent equations for eGFR (eGFR-Smeets for neonates and eGFR-Pierce for children) best approached measured GFR and should preferably be used to optimize diagnosis of AKI and ARC in this population.
Graphical Abstract
A higher resolution version of the Graphical abstract is available as
Supplementary information</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>35916956</pmid><doi>10.1007/s00467-022-05651-w</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-4927-2459</orcidid><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; SpringerLink Journals - AutoHoldings |
subjects | Acute Kidney Injury - diagnosis Acute Kidney Injury - epidemiology Acute renal failure Child Children Creatinine Critical Illness Critically ill children Demographic aspects Diagnosis Epidermal growth factor receptors Evaluation Glomerular Filtration Rate Humans Infant, Newborn Iohexol Medicine Medicine & Public Health Neonates Nephrology Newborn babies Original Original Article Pediatrics Prospective Studies Risk factors Urology |
title | Glomerular filtration rate in critically ill neonates and children: creatinine-based estimations versus iohexol-based measurements |
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