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Biomarkers and predicting acute kidney injury
Aim How can we convert biomarkers into reliable, validated laboratory tests? Glomerular filtration rate (GFR) estimators exist for more than a century. The first utilitarian biomarkers were endogenously produced urea and creatinine. Clinicians then developed simple tests to determine whether or not...
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Published in: | Acta Physiologica 2021-01, Vol.231 (1), p.e13479-n/a |
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container_title | Acta Physiologica |
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creator | Luft, Friedrich C. |
description | Aim
How can we convert biomarkers into reliable, validated laboratory tests? Glomerular filtration rate (GFR) estimators exist for more than a century. The first utilitarian biomarkers were endogenously produced urea and creatinine. Clinicians then developed simple tests to determine whether or not renal tubular function was maintained. Are there faster and better tests that reflect decreased renal function and increased acute kidney injury (AKI) risk?
Methods
We inspect earlier, and recently propagated biomarkers. Cystatin C reflects GFR and is not confounded by muscle mass. Direct GFR and plasma volume can now be measured acutely within 3 hours. Better yet would be tests that give information before GFR decreases and prior to urea, creatinine, and cystatin C increases. Prospective tests identifying those persons likely to develop AKI would be helpful. Even more utilitarian would be a test that also suggests a therapeutic avenue.
Results
A number of highly provocative biomarkers have recently been proposed. Moreover the application of big data from huge electronic medical records promise new directions in identifying and dealing with AKI.
Conclusions
Pipedreams are in the pipeline; the novel findings require immediate testing, verification, and perhaps application. Future research promises to make such dreams come true. |
doi_str_mv | 10.1111/apha.13479 |
format | article |
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How can we convert biomarkers into reliable, validated laboratory tests? Glomerular filtration rate (GFR) estimators exist for more than a century. The first utilitarian biomarkers were endogenously produced urea and creatinine. Clinicians then developed simple tests to determine whether or not renal tubular function was maintained. Are there faster and better tests that reflect decreased renal function and increased acute kidney injury (AKI) risk?
Methods
We inspect earlier, and recently propagated biomarkers. Cystatin C reflects GFR and is not confounded by muscle mass. Direct GFR and plasma volume can now be measured acutely within 3 hours. Better yet would be tests that give information before GFR decreases and prior to urea, creatinine, and cystatin C increases. Prospective tests identifying those persons likely to develop AKI would be helpful. Even more utilitarian would be a test that also suggests a therapeutic avenue.
Results
A number of highly provocative biomarkers have recently been proposed. Moreover the application of big data from huge electronic medical records promise new directions in identifying and dealing with AKI.
Conclusions
Pipedreams are in the pipeline; the novel findings require immediate testing, verification, and perhaps application. Future research promises to make such dreams come true.</description><identifier>ISSN: 1748-1708</identifier><identifier>EISSN: 1748-1716</identifier><identifier>DOI: 10.1111/apha.13479</identifier><identifier>PMID: 32311830</identifier><language>eng</language><publisher>England: Wiley Subscription Services, Inc</publisher><subject>acute kidney injury ; artificial intelligence ; Biomarkers ; Creatinine ; Cystatin C ; Electronic medical records ; Glomerular filtration rate ; Kidneys ; Renal function ; Urea</subject><ispartof>Acta Physiologica, 2021-01, Vol.231 (1), p.e13479-n/a</ispartof><rights>2020 The Authors. published by John Wiley & Sons Ltd on behalf of Scandinavian Physiological Society</rights><rights>2020 The Authors. Acta Physiologica published by John Wiley & Sons Ltd on behalf of Scandinavian Physiological Society.</rights><rights>2020. This article is published under http://creativecommons.org/licenses/by-nc/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-c3939-d755a0d6ae94b8466a17bc572f9a6e51c58f0789b61bc80e252d4308ba8a2e5f3</citedby><cites>FETCH-LOGICAL-c3939-d755a0d6ae94b8466a17bc572f9a6e51c58f0789b61bc80e252d4308ba8a2e5f3</cites><orcidid>0000-0002-8635-1199</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32311830$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Luft, Friedrich C.</creatorcontrib><title>Biomarkers and predicting acute kidney injury</title><title>Acta Physiologica</title><addtitle>Acta Physiol (Oxf)</addtitle><description>Aim
How can we convert biomarkers into reliable, validated laboratory tests? Glomerular filtration rate (GFR) estimators exist for more than a century. The first utilitarian biomarkers were endogenously produced urea and creatinine. Clinicians then developed simple tests to determine whether or not renal tubular function was maintained. Are there faster and better tests that reflect decreased renal function and increased acute kidney injury (AKI) risk?
Methods
We inspect earlier, and recently propagated biomarkers. Cystatin C reflects GFR and is not confounded by muscle mass. Direct GFR and plasma volume can now be measured acutely within 3 hours. Better yet would be tests that give information before GFR decreases and prior to urea, creatinine, and cystatin C increases. Prospective tests identifying those persons likely to develop AKI would be helpful. Even more utilitarian would be a test that also suggests a therapeutic avenue.
Results
A number of highly provocative biomarkers have recently been proposed. Moreover the application of big data from huge electronic medical records promise new directions in identifying and dealing with AKI.
Conclusions
Pipedreams are in the pipeline; the novel findings require immediate testing, verification, and perhaps application. Future research promises to make such dreams come true.</description><subject>acute kidney injury</subject><subject>artificial intelligence</subject><subject>Biomarkers</subject><subject>Creatinine</subject><subject>Cystatin C</subject><subject>Electronic medical records</subject><subject>Glomerular filtration rate</subject><subject>Kidneys</subject><subject>Renal function</subject><subject>Urea</subject><issn>1748-1708</issn><issn>1748-1716</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><recordid>eNp90E1LwzAYB_AgihtzFz-AFLyI0Jn3pMc5fIOBHvQc0jTVbF1bkxXptzezcwcP5pIcfvyfJ38AzhGcoXhudPuhZ4hQkR2BMRJUpkggfnx4QzkC0xBWEEKEo8P4FIwIJghJAscgvXXNRvu19SHRdZG03hbObF39nmjTbW2ydkVt-8TVq873Z-Ck1FWw0_09AW_3d6-Lx3T5_PC0mC9TQzKSpYVgTMOCa5vRXFLONRK5YQKXmeaWIcNkCYXMco5yI6HFDBeUQJlrqbFlJZmAqyG39c1nZ8NWbVwwtqp0bZsuKBzHQEoZwpFe_qGrpvN13E5hyjMuOYUwqutBGd-E4G2pWu_iv3uFoNr1qHY9qp8eI77YR3b5xhYH-ttaBGgAX66y_T9Rav7yOB9CvwHsrHqf</recordid><startdate>202101</startdate><enddate>202101</enddate><creator>Luft, Friedrich C.</creator><general>Wiley Subscription Services, Inc</general><scope>24P</scope><scope>WIN</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TK</scope><scope>7TS</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-8635-1199</orcidid></search><sort><creationdate>202101</creationdate><title>Biomarkers and predicting acute kidney injury</title><author>Luft, Friedrich C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3939-d755a0d6ae94b8466a17bc572f9a6e51c58f0789b61bc80e252d4308ba8a2e5f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>acute kidney injury</topic><topic>artificial intelligence</topic><topic>Biomarkers</topic><topic>Creatinine</topic><topic>Cystatin C</topic><topic>Electronic medical records</topic><topic>Glomerular filtration rate</topic><topic>Kidneys</topic><topic>Renal function</topic><topic>Urea</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Luft, Friedrich C.</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Wiley-Blackwell Free Backfiles(OpenAccess)</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Neurosciences Abstracts</collection><collection>Physical Education Index</collection><collection>MEDLINE - Academic</collection><jtitle>Acta Physiologica</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Luft, Friedrich C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Biomarkers and predicting acute kidney injury</atitle><jtitle>Acta Physiologica</jtitle><addtitle>Acta Physiol (Oxf)</addtitle><date>2021-01</date><risdate>2021</risdate><volume>231</volume><issue>1</issue><spage>e13479</spage><epage>n/a</epage><pages>e13479-n/a</pages><issn>1748-1708</issn><eissn>1748-1716</eissn><abstract>Aim
How can we convert biomarkers into reliable, validated laboratory tests? Glomerular filtration rate (GFR) estimators exist for more than a century. The first utilitarian biomarkers were endogenously produced urea and creatinine. Clinicians then developed simple tests to determine whether or not renal tubular function was maintained. Are there faster and better tests that reflect decreased renal function and increased acute kidney injury (AKI) risk?
Methods
We inspect earlier, and recently propagated biomarkers. Cystatin C reflects GFR and is not confounded by muscle mass. Direct GFR and plasma volume can now be measured acutely within 3 hours. Better yet would be tests that give information before GFR decreases and prior to urea, creatinine, and cystatin C increases. Prospective tests identifying those persons likely to develop AKI would be helpful. Even more utilitarian would be a test that also suggests a therapeutic avenue.
Results
A number of highly provocative biomarkers have recently been proposed. Moreover the application of big data from huge electronic medical records promise new directions in identifying and dealing with AKI.
Conclusions
Pipedreams are in the pipeline; the novel findings require immediate testing, verification, and perhaps application. Future research promises to make such dreams come true.</abstract><cop>England</cop><pub>Wiley Subscription Services, Inc</pub><pmid>32311830</pmid><doi>10.1111/apha.13479</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-8635-1199</orcidid><oa>free_for_read</oa></addata></record> |
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source | EBSCOhost SPORTDiscus with Full Text; Wiley-Blackwell Read & Publish Collection |
subjects | acute kidney injury artificial intelligence Biomarkers Creatinine Cystatin C Electronic medical records Glomerular filtration rate Kidneys Renal function Urea |
title | Biomarkers and predicting acute kidney injury |
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