Urinary Matrix Metalloproteinase-7 and Prediction of AKI Progression Post Cardiac Surgery

Aims. Early detection of patients at high risk for progressive acute kidney injury (AKI) after cardiac surgery remains a major challenge. We aim to evaluate the utility of urinary matrix metalloproteinase-7 (uMMP-7) and other reported biomarkers for predicting AKI progression during postoperative ho...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Disease markers 2019, Vol.2019 (2019), p.1-7
Hauptverfasser: Yang, Peiliang, Yang, Manqiu, Luo, Weihong, Fang, Fan, Yang, Xiaobing
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 7
container_issue 2019
container_start_page 1
container_title Disease markers
container_volume 2019
creator Yang, Peiliang
Yang, Manqiu
Luo, Weihong
Fang, Fan
Yang, Xiaobing
description Aims. Early detection of patients at high risk for progressive acute kidney injury (AKI) after cardiac surgery remains a major challenge. We aim to evaluate the utility of urinary matrix metalloproteinase-7 (uMMP-7) and other reported biomarkers for predicting AKI progression during postoperative hospital stay. Methods. We conducted a prospective, multicenter cohort study in 121 adult patients with stage 1 or 2 AKI after cardiac surgery. uMMP-7 and other well-reported biomarkers (uIL-18, uNGAL, and UACR) were measured at time of AKI clinical diagnosis. The primary outcome is the progression of AKI after cardiac surgery, defined as worsening of AKI stage (stage 1 to either stage 2 or stage 3 or from stage 2 to stage 3). Results. A level of uMMP‐7>7.8 μg/g Cr at time of AKI diagnosis conveyed an 8-fold risk of AKI progression as compared to those with uMMP‐7
doi_str_mv 10.1155/2019/9217571
format Article
fullrecord <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6885836</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A614078725</galeid><sourcerecordid>A614078725</sourcerecordid><originalsourceid>FETCH-LOGICAL-c499t-f539fc340f6c20223e64c002071a10348748919b42356bc221a5a4e98310f3853</originalsourceid><addsrcrecordid>eNqNkc1rFDEYh4Modq3ePMuAF0HHvvlOLsKy-FFssaA9eArZTLJNmZ2syYza_94Mu7bqyVPgfR-evD9-CD3F8Bpjzk8IYH2iCZZc4ntogZXkrRIU7qMFEKlaIAyO0KNSrgEw0Uw_REcUKyIFUwv09TLHweab5tyOOf5szv1o-z7tchp9XRTfysYOXXORfRfdGNPQpNAsP57WSdpkX8o8ukhlbFY2d9G65vOUNz7fPEYPgu2Lf3J4j9Hlu7dfVh_as0_vT1fLs9Yxrcc2cKqDowyCcAQIoV4wB0BAYouBMiWZ0livGaFcrB0h2HLLvFYUQ6CK02P0Zu_dTeut75wfxmx7s8txW3OZZKP5ezPEK7NJ341QiisqquDFQZDTt8mX0Wxjcb7v7eDTVAyhhFMQTEBFn_-DXqcpDzXeTIHGWBN6R21s700cQqr_ullqlgIzkEqS-e5Xe8rlVEr24fZkDGZu1szNmkOzFX_2Z8xb-HeVFXi5B67i0Nkf8T91vjI-2DsaM6mFor8AD_iyLg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2320911923</pqid></control><display><type>article</type><title>Urinary Matrix Metalloproteinase-7 and Prediction of AKI Progression Post Cardiac Surgery</title><source>MEDLINE</source><source>Wiley-Blackwell Open Access Titles</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Alma/SFX Local Collection</source><creator>Yang, Peiliang ; Yang, Manqiu ; Luo, Weihong ; Fang, Fan ; Yang, Xiaobing</creator><contributor>Chadjichristos, Christos ; Christos Chadjichristos</contributor><creatorcontrib>Yang, Peiliang ; Yang, Manqiu ; Luo, Weihong ; Fang, Fan ; Yang, Xiaobing ; Chadjichristos, Christos ; Christos Chadjichristos</creatorcontrib><description>Aims. Early detection of patients at high risk for progressive acute kidney injury (AKI) after cardiac surgery remains a major challenge. We aim to evaluate the utility of urinary matrix metalloproteinase-7 (uMMP-7) and other reported biomarkers for predicting AKI progression during postoperative hospital stay. Methods. We conducted a prospective, multicenter cohort study in 121 adult patients with stage 1 or 2 AKI after cardiac surgery. uMMP-7 and other well-reported biomarkers (uIL-18, uNGAL, and UACR) were measured at time of AKI clinical diagnosis. The primary outcome is the progression of AKI after cardiac surgery, defined as worsening of AKI stage (stage 1 to either stage 2 or stage 3 or from stage 2 to stage 3). Results. A level of uMMP‐7&gt;7.8 μg/g Cr at time of AKI diagnosis conveyed an 8-fold risk of AKI progression as compared to those with uMMP‐7&lt;2.7 μg/g after adjusting for clinical risk factors. The performance of uMMP-7 for predicting progressive AKI was good with an AUC of 0.80. The combination of uMMP-7 and IL-18 produces the greatest AUC for predicting progressive AKI. Addition of uMMP-7 to the clinical risk factor model significantly improved risk reclassification for AKI progression. Conclusions. uMMP-7, measured at time of AKI clinical diagnosis, is a novel biomarker for predicting the progression of AKI after cardiac surgery. Adding uMMP-7 to the clinical risk factor model may be used as a noninvasive approach to identify a subpopulation that is at high risk for progressive AKI after cardiac surgery.</description><identifier>ISSN: 0278-0240</identifier><identifier>EISSN: 1875-8630</identifier><identifier>DOI: 10.1155/2019/9217571</identifier><identifier>PMID: 31827648</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Acute Kidney Injury - diagnosis ; Acute Kidney Injury - etiology ; Acute Kidney Injury - urine ; Analysis ; Biomarkers ; Biomarkers - urine ; Cardiac Surgical Procedures - adverse effects ; Chromium ; Diagnosis ; Female ; Follow-Up Studies ; Heart ; Heart Diseases - pathology ; Heart Diseases - surgery ; Heart surgery ; Hemodialysis ; Hospitals ; Humans ; Interleukin 18 ; Kidney diseases ; Male ; Matrilysin ; Matrix metalloproteinase ; Matrix Metalloproteinase 7 - urine ; Matrix metalloproteinases ; Medical research ; Medicine, Experimental ; Metalloproteinase ; Middle Aged ; Mortality ; Nephrology ; Patients ; Postoperative Complications ; Predictions ; Prognosis ; Prospective Studies ; Reclassification ; Risk analysis ; Risk Factors ; Surgery ; Time measurement ; Urine ; Variables</subject><ispartof>Disease markers, 2019, Vol.2019 (2019), p.1-7</ispartof><rights>Copyright © 2019 Fan Fang et al.</rights><rights>COPYRIGHT 2019 John Wiley &amp; Sons, Inc.</rights><rights>Copyright © 2019 Fan Fang et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. http://creativecommons.org/licenses/by/4.0</rights><rights>Copyright © 2019 Fan Fang et al. 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c499t-f539fc340f6c20223e64c002071a10348748919b42356bc221a5a4e98310f3853</citedby><cites>FETCH-LOGICAL-c499t-f539fc340f6c20223e64c002071a10348748919b42356bc221a5a4e98310f3853</cites><orcidid>0000-0003-4950-4245</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6885836/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6885836/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,4022,27922,27923,27924,53790,53792</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31827648$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Chadjichristos, Christos</contributor><contributor>Christos Chadjichristos</contributor><creatorcontrib>Yang, Peiliang</creatorcontrib><creatorcontrib>Yang, Manqiu</creatorcontrib><creatorcontrib>Luo, Weihong</creatorcontrib><creatorcontrib>Fang, Fan</creatorcontrib><creatorcontrib>Yang, Xiaobing</creatorcontrib><title>Urinary Matrix Metalloproteinase-7 and Prediction of AKI Progression Post Cardiac Surgery</title><title>Disease markers</title><addtitle>Dis Markers</addtitle><description>Aims. Early detection of patients at high risk for progressive acute kidney injury (AKI) after cardiac surgery remains a major challenge. We aim to evaluate the utility of urinary matrix metalloproteinase-7 (uMMP-7) and other reported biomarkers for predicting AKI progression during postoperative hospital stay. Methods. We conducted a prospective, multicenter cohort study in 121 adult patients with stage 1 or 2 AKI after cardiac surgery. uMMP-7 and other well-reported biomarkers (uIL-18, uNGAL, and UACR) were measured at time of AKI clinical diagnosis. The primary outcome is the progression of AKI after cardiac surgery, defined as worsening of AKI stage (stage 1 to either stage 2 or stage 3 or from stage 2 to stage 3). Results. A level of uMMP‐7&gt;7.8 μg/g Cr at time of AKI diagnosis conveyed an 8-fold risk of AKI progression as compared to those with uMMP‐7&lt;2.7 μg/g after adjusting for clinical risk factors. The performance of uMMP-7 for predicting progressive AKI was good with an AUC of 0.80. The combination of uMMP-7 and IL-18 produces the greatest AUC for predicting progressive AKI. Addition of uMMP-7 to the clinical risk factor model significantly improved risk reclassification for AKI progression. Conclusions. uMMP-7, measured at time of AKI clinical diagnosis, is a novel biomarker for predicting the progression of AKI after cardiac surgery. Adding uMMP-7 to the clinical risk factor model may be used as a noninvasive approach to identify a subpopulation that is at high risk for progressive AKI after cardiac surgery.</description><subject>Acute Kidney Injury - diagnosis</subject><subject>Acute Kidney Injury - etiology</subject><subject>Acute Kidney Injury - urine</subject><subject>Analysis</subject><subject>Biomarkers</subject><subject>Biomarkers - urine</subject><subject>Cardiac Surgical Procedures - adverse effects</subject><subject>Chromium</subject><subject>Diagnosis</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Heart</subject><subject>Heart Diseases - pathology</subject><subject>Heart Diseases - surgery</subject><subject>Heart surgery</subject><subject>Hemodialysis</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Interleukin 18</subject><subject>Kidney diseases</subject><subject>Male</subject><subject>Matrilysin</subject><subject>Matrix metalloproteinase</subject><subject>Matrix Metalloproteinase 7 - urine</subject><subject>Matrix metalloproteinases</subject><subject>Medical research</subject><subject>Medicine, Experimental</subject><subject>Metalloproteinase</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Nephrology</subject><subject>Patients</subject><subject>Postoperative Complications</subject><subject>Predictions</subject><subject>Prognosis</subject><subject>Prospective Studies</subject><subject>Reclassification</subject><subject>Risk analysis</subject><subject>Risk Factors</subject><subject>Surgery</subject><subject>Time measurement</subject><subject>Urine</subject><subject>Variables</subject><issn>0278-0240</issn><issn>1875-8630</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>EIF</sourceid><recordid>eNqNkc1rFDEYh4Modq3ePMuAF0HHvvlOLsKy-FFssaA9eArZTLJNmZ2syYza_94Mu7bqyVPgfR-evD9-CD3F8Bpjzk8IYH2iCZZc4ntogZXkrRIU7qMFEKlaIAyO0KNSrgEw0Uw_REcUKyIFUwv09TLHweab5tyOOf5szv1o-z7tchp9XRTfysYOXXORfRfdGNPQpNAsP57WSdpkX8o8ukhlbFY2d9G65vOUNz7fPEYPgu2Lf3J4j9Hlu7dfVh_as0_vT1fLs9Yxrcc2cKqDowyCcAQIoV4wB0BAYouBMiWZ0livGaFcrB0h2HLLvFYUQ6CK02P0Zu_dTeut75wfxmx7s8txW3OZZKP5ezPEK7NJ341QiisqquDFQZDTt8mX0Wxjcb7v7eDTVAyhhFMQTEBFn_-DXqcpDzXeTIHGWBN6R21s700cQqr_ullqlgIzkEqS-e5Xe8rlVEr24fZkDGZu1szNmkOzFX_2Z8xb-HeVFXi5B67i0Nkf8T91vjI-2DsaM6mFor8AD_iyLg</recordid><startdate>2019</startdate><enddate>2019</enddate><creator>Yang, Peiliang</creator><creator>Yang, Manqiu</creator><creator>Luo, Weihong</creator><creator>Fang, Fan</creator><creator>Yang, Xiaobing</creator><general>Hindawi Publishing Corporation</general><general>Hindawi</general><general>John Wiley &amp; Sons, Inc</general><general>Hindawi Limited</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</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>7QL</scope><scope>7QO</scope><scope>7TK</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-4950-4245</orcidid></search><sort><creationdate>2019</creationdate><title>Urinary Matrix Metalloproteinase-7 and Prediction of AKI Progression Post Cardiac Surgery</title><author>Yang, Peiliang ; Yang, Manqiu ; Luo, Weihong ; Fang, Fan ; Yang, Xiaobing</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c499t-f539fc340f6c20223e64c002071a10348748919b42356bc221a5a4e98310f3853</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Acute Kidney Injury - diagnosis</topic><topic>Acute Kidney Injury - etiology</topic><topic>Acute Kidney Injury - urine</topic><topic>Analysis</topic><topic>Biomarkers</topic><topic>Biomarkers - urine</topic><topic>Cardiac Surgical Procedures - adverse effects</topic><topic>Chromium</topic><topic>Diagnosis</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Heart</topic><topic>Heart Diseases - pathology</topic><topic>Heart Diseases - surgery</topic><topic>Heart surgery</topic><topic>Hemodialysis</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Interleukin 18</topic><topic>Kidney diseases</topic><topic>Male</topic><topic>Matrilysin</topic><topic>Matrix metalloproteinase</topic><topic>Matrix Metalloproteinase 7 - urine</topic><topic>Matrix metalloproteinases</topic><topic>Medical research</topic><topic>Medicine, Experimental</topic><topic>Metalloproteinase</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Nephrology</topic><topic>Patients</topic><topic>Postoperative Complications</topic><topic>Predictions</topic><topic>Prognosis</topic><topic>Prospective Studies</topic><topic>Reclassification</topic><topic>Risk analysis</topic><topic>Risk Factors</topic><topic>Surgery</topic><topic>Time measurement</topic><topic>Urine</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yang, Peiliang</creatorcontrib><creatorcontrib>Yang, Manqiu</creatorcontrib><creatorcontrib>Luo, Weihong</creatorcontrib><creatorcontrib>Fang, Fan</creatorcontrib><creatorcontrib>Yang, Xiaobing</creatorcontrib><collection>الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals</collection><collection>معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete</collection><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access 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>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Disease markers</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yang, Peiliang</au><au>Yang, Manqiu</au><au>Luo, Weihong</au><au>Fang, Fan</au><au>Yang, Xiaobing</au><au>Chadjichristos, Christos</au><au>Christos Chadjichristos</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Urinary Matrix Metalloproteinase-7 and Prediction of AKI Progression Post Cardiac Surgery</atitle><jtitle>Disease markers</jtitle><addtitle>Dis Markers</addtitle><date>2019</date><risdate>2019</risdate><volume>2019</volume><issue>2019</issue><spage>1</spage><epage>7</epage><pages>1-7</pages><issn>0278-0240</issn><eissn>1875-8630</eissn><abstract>Aims. Early detection of patients at high risk for progressive acute kidney injury (AKI) after cardiac surgery remains a major challenge. We aim to evaluate the utility of urinary matrix metalloproteinase-7 (uMMP-7) and other reported biomarkers for predicting AKI progression during postoperative hospital stay. Methods. We conducted a prospective, multicenter cohort study in 121 adult patients with stage 1 or 2 AKI after cardiac surgery. uMMP-7 and other well-reported biomarkers (uIL-18, uNGAL, and UACR) were measured at time of AKI clinical diagnosis. The primary outcome is the progression of AKI after cardiac surgery, defined as worsening of AKI stage (stage 1 to either stage 2 or stage 3 or from stage 2 to stage 3). Results. A level of uMMP‐7&gt;7.8 μg/g Cr at time of AKI diagnosis conveyed an 8-fold risk of AKI progression as compared to those with uMMP‐7&lt;2.7 μg/g after adjusting for clinical risk factors. The performance of uMMP-7 for predicting progressive AKI was good with an AUC of 0.80. The combination of uMMP-7 and IL-18 produces the greatest AUC for predicting progressive AKI. Addition of uMMP-7 to the clinical risk factor model significantly improved risk reclassification for AKI progression. Conclusions. uMMP-7, measured at time of AKI clinical diagnosis, is a novel biomarker for predicting the progression of AKI after cardiac surgery. Adding uMMP-7 to the clinical risk factor model may be used as a noninvasive approach to identify a subpopulation that is at high risk for progressive AKI after cardiac surgery.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Publishing Corporation</pub><pmid>31827648</pmid><doi>10.1155/2019/9217571</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0003-4950-4245</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0278-0240
ispartof Disease markers, 2019, Vol.2019 (2019), p.1-7
issn 0278-0240
1875-8630
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6885836
source MEDLINE; Wiley-Blackwell Open Access Titles; EZB-FREE-00999 freely available EZB journals; PubMed Central; Alma/SFX Local Collection
subjects Acute Kidney Injury - diagnosis
Acute Kidney Injury - etiology
Acute Kidney Injury - urine
Analysis
Biomarkers
Biomarkers - urine
Cardiac Surgical Procedures - adverse effects
Chromium
Diagnosis
Female
Follow-Up Studies
Heart
Heart Diseases - pathology
Heart Diseases - surgery
Heart surgery
Hemodialysis
Hospitals
Humans
Interleukin 18
Kidney diseases
Male
Matrilysin
Matrix metalloproteinase
Matrix Metalloproteinase 7 - urine
Matrix metalloproteinases
Medical research
Medicine, Experimental
Metalloproteinase
Middle Aged
Mortality
Nephrology
Patients
Postoperative Complications
Predictions
Prognosis
Prospective Studies
Reclassification
Risk analysis
Risk Factors
Surgery
Time measurement
Urine
Variables
title Urinary Matrix Metalloproteinase-7 and Prediction of AKI Progression Post Cardiac Surgery
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T14%3A14%3A22IST&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=Urinary%20Matrix%20Metalloproteinase-7%20and%20Prediction%20of%20AKI%20Progression%20Post%20Cardiac%20Surgery&rft.jtitle=Disease%20markers&rft.au=Yang,%20Peiliang&rft.date=2019&rft.volume=2019&rft.issue=2019&rft.spage=1&rft.epage=7&rft.pages=1-7&rft.issn=0278-0240&rft.eissn=1875-8630&rft_id=info:doi/10.1155/2019/9217571&rft_dat=%3Cgale_pubme%3EA614078725%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=2320911923&rft_id=info:pmid/31827648&rft_galeid=A614078725&rfr_iscdi=true