Comparison of serum creatinine-based estimating equations with gates protocol for predicting glomerular filtration rate in indian population
In clinical practice, serum creatinine-based predicting equations and Gates protocol based on gamma camera imaging of kidneys after injection of Tc99m-diethylenetriaminepentaacetic acid (DTPA) are commonly used to assess glomerular filtration rate (GFR). Comparison of these methods, especially the c...
Gespeichert in:
Veröffentlicht in: | Indian journal of nephrology 2017-03, Vol.27 (2), p.124-128 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 128 |
---|---|
container_issue | 2 |
container_start_page | 124 |
container_title | Indian journal of nephrology |
container_volume | 27 |
creator | Mulay, A V Gokhale, S M |
description | In clinical practice, serum creatinine-based predicting equations and Gates protocol based on gamma camera imaging of kidneys after injection of Tc99m-diethylenetriaminepentaacetic acid (DTPA) are commonly used to assess glomerular filtration rate (GFR). Comparison of these methods, especially the chronic kidney disease-epidemiology collaboration (CKD-EPI) equation with gold standard method of assessment of GFR by plasma clearance of Tc-99mDTPA is not well-studied in Indian population. We conducted this study to compare GFR estimation by gamma camera-based Gates protocol and serum creatinine-based predicting equations with GFR measured by plasma clearance of Tc-99mDTPA. One hundred and five patients (65 male and 40 female) underwent Tc-99m DTPA renal scan followed by withdrawal of venous blood samples at 2, 3, and 4 h as per predefined protocol. Gates method GFR (GFR
) was assessed using standard protocol. GFR by plasma sampling (GFR
) was calculated by slope-intercept method with provision for corrections. Estimated GFR was calculated by Cockroft-Gault formula, four variable modification of diet in renal disease (MDRD) equation, and CKD-EPI equation (GFR
GFR
, GFR
, respectively). GFR measured by gold standard method (GFR
) was compared with that estimated by other methods by calculating correlation coefficient, bias, precision, and accuracy. GFR estimated by all three estimating equations correlated better than GFR
with GFR
For estimating GFR
, GFR
had highest correlation with GFR
with least bias and highest precision. Gamma camera-based Gates protocol was the least precise and least accurate method for estimating GFR
. To conclude, all three estimating equations based on serum creatinine are superior to Tc-99m DTPA scintigraphy for estimating GFR; CKD-EPI equation being the most accurate and precise. |
doi_str_mv | 10.4103/0971-4065.200515 |
format | Article |
fullrecord | <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5358152</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A484781681</galeid><sourcerecordid>A484781681</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4375-910e7a1fa67050e7e290ae82083f7d4556bad43bb15472a64ee6e0376c7551f23</originalsourceid><addsrcrecordid>eNptkl2L1DAUhoso7rh675UEBPGmY76b3gjL4BcseKPXIW1PO1nSpJu0K_4Hf7TpzDruiDSQpOd53zSnb1G8JHjLCWbvcF2RkmMpthRjQcSjYkPqWpVMSvq42JzKF8WzlG4wpoLX4mlxQRUTUkq-KX7twjiZaFPwKPQoQVxG1EYws_XWQ9mYBB2CNNtxfTUguF3yIviEfth5jwYzQ0JTDHNog0N9iHkDnW0P8ODCmB2diai3bo4HJcoTIOvz6KzxaApTJtbK8-JJb1yCF_fzZfH944dvu8_l9ddPX3ZX12XLWSXKmmCoDOmNrLDIS6A1NqAoVqyvOi6EbEzHWdMQwStqJAeQgFkl20oI0lN2Wbw_-k5LM0LXgs-f5vQU8yXjTx2M1ecVb_d6CHdaMKGIWA3e3hvEcLvk7ujRphacMx7CkjRRivK6UoRn9PU_6E1Yos_Xy1QllCSU4r_UYBxo6_uQz21XU33FFc9OUpFMbf9D5aeD0bbBQ24ynAvePBDswbh5n4JbDj_wHMRHsI0hpQj9qRkE6zVqes2SXrOkj1HLklcPm3gS_MkW-w1T1c-5</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1875861220</pqid></control><display><type>article</type><title>Comparison of serum creatinine-based estimating equations with gates protocol for predicting glomerular filtration rate in indian population</title><source>Medknow Open Access Medical Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><creator>Mulay, A V ; Gokhale, S M</creator><creatorcontrib>Mulay, A V ; Gokhale, S M</creatorcontrib><description>In clinical practice, serum creatinine-based predicting equations and Gates protocol based on gamma camera imaging of kidneys after injection of Tc99m-diethylenetriaminepentaacetic acid (DTPA) are commonly used to assess glomerular filtration rate (GFR). Comparison of these methods, especially the chronic kidney disease-epidemiology collaboration (CKD-EPI) equation with gold standard method of assessment of GFR by plasma clearance of Tc-99mDTPA is not well-studied in Indian population. We conducted this study to compare GFR estimation by gamma camera-based Gates protocol and serum creatinine-based predicting equations with GFR measured by plasma clearance of Tc-99mDTPA. One hundred and five patients (65 male and 40 female) underwent Tc-99m DTPA renal scan followed by withdrawal of venous blood samples at 2, 3, and 4 h as per predefined protocol. Gates method GFR (GFR
) was assessed using standard protocol. GFR by plasma sampling (GFR
) was calculated by slope-intercept method with provision for corrections. Estimated GFR was calculated by Cockroft-Gault formula, four variable modification of diet in renal disease (MDRD) equation, and CKD-EPI equation (GFR
GFR
, GFR
, respectively). GFR measured by gold standard method (GFR
) was compared with that estimated by other methods by calculating correlation coefficient, bias, precision, and accuracy. GFR estimated by all three estimating equations correlated better than GFR
with GFR
For estimating GFR
, GFR
had highest correlation with GFR
with least bias and highest precision. Gamma camera-based Gates protocol was the least precise and least accurate method for estimating GFR
. To conclude, all three estimating equations based on serum creatinine are superior to Tc-99m DTPA scintigraphy for estimating GFR; CKD-EPI equation being the most accurate and precise.</description><identifier>ISSN: 0971-4065</identifier><identifier>EISSN: 1998-3662</identifier><identifier>DOI: 10.4103/0971-4065.200515</identifier><identifier>PMID: 28356664</identifier><language>eng</language><publisher>India: Medknow Publications and Media Pvt. Ltd</publisher><subject>Analysis ; Chronic kidney failure ; Comparative analysis ; Diagnosis ; Epidemiology ; Glomerular filtration rate ; Original ; Risk factors</subject><ispartof>Indian journal of nephrology, 2017-03, Vol.27 (2), p.124-128</ispartof><rights>COPYRIGHT 2017 Medknow Publications and Media Pvt. Ltd.</rights><rights>Copyright Medknow Publications & Media Pvt Ltd Mar-Apr 2017</rights><rights>Copyright: © 2017 Indian Journal of Nephrology 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4375-910e7a1fa67050e7e290ae82083f7d4556bad43bb15472a64ee6e0376c7551f23</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5358152/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5358152/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27903,27904,53769,53771</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28356664$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mulay, A V</creatorcontrib><creatorcontrib>Gokhale, S M</creatorcontrib><title>Comparison of serum creatinine-based estimating equations with gates protocol for predicting glomerular filtration rate in indian population</title><title>Indian journal of nephrology</title><addtitle>Indian J Nephrol</addtitle><description>In clinical practice, serum creatinine-based predicting equations and Gates protocol based on gamma camera imaging of kidneys after injection of Tc99m-diethylenetriaminepentaacetic acid (DTPA) are commonly used to assess glomerular filtration rate (GFR). Comparison of these methods, especially the chronic kidney disease-epidemiology collaboration (CKD-EPI) equation with gold standard method of assessment of GFR by plasma clearance of Tc-99mDTPA is not well-studied in Indian population. We conducted this study to compare GFR estimation by gamma camera-based Gates protocol and serum creatinine-based predicting equations with GFR measured by plasma clearance of Tc-99mDTPA. One hundred and five patients (65 male and 40 female) underwent Tc-99m DTPA renal scan followed by withdrawal of venous blood samples at 2, 3, and 4 h as per predefined protocol. Gates method GFR (GFR
) was assessed using standard protocol. GFR by plasma sampling (GFR
) was calculated by slope-intercept method with provision for corrections. Estimated GFR was calculated by Cockroft-Gault formula, four variable modification of diet in renal disease (MDRD) equation, and CKD-EPI equation (GFR
GFR
, GFR
, respectively). GFR measured by gold standard method (GFR
) was compared with that estimated by other methods by calculating correlation coefficient, bias, precision, and accuracy. GFR estimated by all three estimating equations correlated better than GFR
with GFR
For estimating GFR
, GFR
had highest correlation with GFR
with least bias and highest precision. Gamma camera-based Gates protocol was the least precise and least accurate method for estimating GFR
. To conclude, all three estimating equations based on serum creatinine are superior to Tc-99m DTPA scintigraphy for estimating GFR; CKD-EPI equation being the most accurate and precise.</description><subject>Analysis</subject><subject>Chronic kidney failure</subject><subject>Comparative analysis</subject><subject>Diagnosis</subject><subject>Epidemiology</subject><subject>Glomerular filtration rate</subject><subject>Original</subject><subject>Risk factors</subject><issn>0971-4065</issn><issn>1998-3662</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNptkl2L1DAUhoso7rh675UEBPGmY76b3gjL4BcseKPXIW1PO1nSpJu0K_4Hf7TpzDruiDSQpOd53zSnb1G8JHjLCWbvcF2RkmMpthRjQcSjYkPqWpVMSvq42JzKF8WzlG4wpoLX4mlxQRUTUkq-KX7twjiZaFPwKPQoQVxG1EYws_XWQ9mYBB2CNNtxfTUguF3yIviEfth5jwYzQ0JTDHNog0N9iHkDnW0P8ODCmB2diai3bo4HJcoTIOvz6KzxaApTJtbK8-JJb1yCF_fzZfH944dvu8_l9ddPX3ZX12XLWSXKmmCoDOmNrLDIS6A1NqAoVqyvOi6EbEzHWdMQwStqJAeQgFkl20oI0lN2Wbw_-k5LM0LXgs-f5vQU8yXjTx2M1ecVb_d6CHdaMKGIWA3e3hvEcLvk7ujRphacMx7CkjRRivK6UoRn9PU_6E1Yos_Xy1QllCSU4r_UYBxo6_uQz21XU33FFc9OUpFMbf9D5aeD0bbBQ24ynAvePBDswbh5n4JbDj_wHMRHsI0hpQj9qRkE6zVqes2SXrOkj1HLklcPm3gS_MkW-w1T1c-5</recordid><startdate>20170301</startdate><enddate>20170301</enddate><creator>Mulay, A V</creator><creator>Gokhale, S M</creator><general>Medknow Publications and Media Pvt. Ltd</general><general>Scientific Scholar</general><general>Medknow Publications & Media Pvt Ltd</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>M0S</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PADUT</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20170301</creationdate><title>Comparison of serum creatinine-based estimating equations with gates protocol for predicting glomerular filtration rate in indian population</title><author>Mulay, A V ; Gokhale, S M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4375-910e7a1fa67050e7e290ae82083f7d4556bad43bb15472a64ee6e0376c7551f23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Analysis</topic><topic>Chronic kidney failure</topic><topic>Comparative analysis</topic><topic>Diagnosis</topic><topic>Epidemiology</topic><topic>Glomerular filtration rate</topic><topic>Original</topic><topic>Risk factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mulay, A V</creatorcontrib><creatorcontrib>Gokhale, S M</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</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>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Research Library China</collection><collection>Publicly Available Content Database</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>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Indian journal of nephrology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mulay, A V</au><au>Gokhale, S M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparison of serum creatinine-based estimating equations with gates protocol for predicting glomerular filtration rate in indian population</atitle><jtitle>Indian journal of nephrology</jtitle><addtitle>Indian J Nephrol</addtitle><date>2017-03-01</date><risdate>2017</risdate><volume>27</volume><issue>2</issue><spage>124</spage><epage>128</epage><pages>124-128</pages><issn>0971-4065</issn><eissn>1998-3662</eissn><abstract>In clinical practice, serum creatinine-based predicting equations and Gates protocol based on gamma camera imaging of kidneys after injection of Tc99m-diethylenetriaminepentaacetic acid (DTPA) are commonly used to assess glomerular filtration rate (GFR). Comparison of these methods, especially the chronic kidney disease-epidemiology collaboration (CKD-EPI) equation with gold standard method of assessment of GFR by plasma clearance of Tc-99mDTPA is not well-studied in Indian population. We conducted this study to compare GFR estimation by gamma camera-based Gates protocol and serum creatinine-based predicting equations with GFR measured by plasma clearance of Tc-99mDTPA. One hundred and five patients (65 male and 40 female) underwent Tc-99m DTPA renal scan followed by withdrawal of venous blood samples at 2, 3, and 4 h as per predefined protocol. Gates method GFR (GFR
) was assessed using standard protocol. GFR by plasma sampling (GFR
) was calculated by slope-intercept method with provision for corrections. Estimated GFR was calculated by Cockroft-Gault formula, four variable modification of diet in renal disease (MDRD) equation, and CKD-EPI equation (GFR
GFR
, GFR
, respectively). GFR measured by gold standard method (GFR
) was compared with that estimated by other methods by calculating correlation coefficient, bias, precision, and accuracy. GFR estimated by all three estimating equations correlated better than GFR
with GFR
For estimating GFR
, GFR
had highest correlation with GFR
with least bias and highest precision. Gamma camera-based Gates protocol was the least precise and least accurate method for estimating GFR
. To conclude, all three estimating equations based on serum creatinine are superior to Tc-99m DTPA scintigraphy for estimating GFR; CKD-EPI equation being the most accurate and precise.</abstract><cop>India</cop><pub>Medknow Publications and Media Pvt. Ltd</pub><pmid>28356664</pmid><doi>10.4103/0971-4065.200515</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0971-4065 |
ispartof | Indian journal of nephrology, 2017-03, Vol.27 (2), p.124-128 |
issn | 0971-4065 1998-3662 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5358152 |
source | Medknow Open Access Medical Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central |
subjects | Analysis Chronic kidney failure Comparative analysis Diagnosis Epidemiology Glomerular filtration rate Original Risk factors |
title | Comparison of serum creatinine-based estimating equations with gates protocol for predicting glomerular filtration rate in indian population |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-26T01%3A57%3A21IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Comparison%20of%20serum%20creatinine-based%20estimating%20equations%20with%20gates%20protocol%20for%20predicting%20glomerular%20filtration%20rate%20in%20indian%20population&rft.jtitle=Indian%20journal%20of%20nephrology&rft.au=Mulay,%20A%20V&rft.date=2017-03-01&rft.volume=27&rft.issue=2&rft.spage=124&rft.epage=128&rft.pages=124-128&rft.issn=0971-4065&rft.eissn=1998-3662&rft_id=info:doi/10.4103/0971-4065.200515&rft_dat=%3Cgale_pubme%3EA484781681%3C/gale_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1875861220&rft_id=info:pmid/28356664&rft_galeid=A484781681&rfr_iscdi=true |