Serum prealbumin and its changes over time are associated with mortality in acute kidney injury
Serum prealbumin is a clinically relevant indicator of nutritional status and inflammation in patients with acute kidney injury (AKI). This study aimed to determine whether serum prealbumin and its longitudinal changes over a week could improve the prediction of 90-day mortality in AKI patients. Thi...
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description | Serum prealbumin is a clinically relevant indicator of nutritional status and inflammation in patients with acute kidney injury (AKI). This study aimed to determine whether serum prealbumin and its longitudinal changes over a week could improve the prediction of 90-day mortality in AKI patients. This prospective cohort study included 340 adults with AKI between 2014 and 2015. There were 94 (27.6%) patient deaths within 90 days. Serum prealbumin level 4 mg/dL was also associated with 90-day mortality in adjusted Cox regression models (HR, 1.79; 95% CI, 1.06 to 3.03;
P
= 0.03). Compared to serum albumin, mortality-predictability of serum prealbumin (
P
= 0.01) and its changes (
P
= 0.01) were both increased. Adding prealbumin and its changes on the conventional covariates improved the prediction of progression to 90-day mortality (NRI 0.29,
P
= 0.04; aIDI 0.08;
P
= 0.03). In conclusion, serum prealbumin, and its changes were independent predictors of worse prognosis in AKI, and could be potential surrogates to better predict 90-day mortality. |
doi_str_mv | 10.1038/srep41493 |
format | Article |
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P
= 0.02). Serum prealbumin fall >4 mg/dL was also associated with 90-day mortality in adjusted Cox regression models (HR, 1.79; 95% CI, 1.06 to 3.03;
P
= 0.03). Compared to serum albumin, mortality-predictability of serum prealbumin (
P
= 0.01) and its changes (
P
= 0.01) were both increased. Adding prealbumin and its changes on the conventional covariates improved the prediction of progression to 90-day mortality (NRI 0.29,
P
= 0.04; aIDI 0.08;
P
= 0.03). In conclusion, serum prealbumin, and its changes were independent predictors of worse prognosis in AKI, and could be potential surrogates to better predict 90-day mortality.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/srep41493</identifier><identifier>PMID: 28145481</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>692/308/53/2422 ; 692/4022/1585/4 ; 692/499 ; Acute Kidney Injury - blood ; Acute Kidney Injury - mortality ; Aged ; Albumin ; Confidence Intervals ; Death ; Demography ; Female ; Health risk assessment ; Humanities and Social Sciences ; Humans ; Kaplan-Meier Estimate ; Kidneys ; Male ; Middle Aged ; Mortality ; multidisciplinary ; Multivariate Analysis ; Nutritional status ; Prealbumin - metabolism ; Probability ; Regression analysis ; ROC Curve ; Science ; Science (multidisciplinary) ; Time Factors</subject><ispartof>Scientific reports, 2017-02, Vol.7 (1), p.41493-41493, Article 41493</ispartof><rights>The Author(s) 2017</rights><rights>Copyright Nature Publishing Group Feb 2017</rights><rights>Copyright © 2017, The Author(s) 2017 The Author(s)</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c438t-86da4ab1de3f67c6960d7f9d51f6a04b3b691978b445e583eaa0e7596cbabec3</citedby><cites>FETCH-LOGICAL-c438t-86da4ab1de3f67c6960d7f9d51f6a04b3b691978b445e583eaa0e7596cbabec3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5286447/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5286447/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27924,27925,41120,42189,51576,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28145481$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Wenji</creatorcontrib><creatorcontrib>Pan, Yu</creatorcontrib><creatorcontrib>Tang, Xiao</creatorcontrib><creatorcontrib>Hao, Guihua</creatorcontrib><creatorcontrib>Xie, Yingxin</creatorcontrib><creatorcontrib>Ma, Shuai</creatorcontrib><creatorcontrib>Luo, Jianfeng</creatorcontrib><creatorcontrib>Guo, Daqiao</creatorcontrib><creatorcontrib>Ding, Feng</creatorcontrib><title>Serum prealbumin and its changes over time are associated with mortality in acute kidney injury</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>Serum prealbumin is a clinically relevant indicator of nutritional status and inflammation in patients with acute kidney injury (AKI). This study aimed to determine whether serum prealbumin and its longitudinal changes over a week could improve the prediction of 90-day mortality in AKI patients. This prospective cohort study included 340 adults with AKI between 2014 and 2015. There were 94 (27.6%) patient deaths within 90 days. Serum prealbumin level <10 mg/dL at the time of AKI diagnosis was associated with a 155% increased death risk ratio (adjusted hazard ratio [HR], 2.55; 95% confidence interval [CI], 1.18 to 5.49;
P
= 0.02). Serum prealbumin fall >4 mg/dL was also associated with 90-day mortality in adjusted Cox regression models (HR, 1.79; 95% CI, 1.06 to 3.03;
P
= 0.03). Compared to serum albumin, mortality-predictability of serum prealbumin (
P
= 0.01) and its changes (
P
= 0.01) were both increased. Adding prealbumin and its changes on the conventional covariates improved the prediction of progression to 90-day mortality (NRI 0.29,
P
= 0.04; aIDI 0.08;
P
= 0.03). In conclusion, serum prealbumin, and its changes were independent predictors of worse prognosis in AKI, and could be potential surrogates to better predict 90-day mortality.</description><subject>692/308/53/2422</subject><subject>692/4022/1585/4</subject><subject>692/499</subject><subject>Acute Kidney Injury - blood</subject><subject>Acute Kidney Injury - mortality</subject><subject>Aged</subject><subject>Albumin</subject><subject>Confidence Intervals</subject><subject>Death</subject><subject>Demography</subject><subject>Female</subject><subject>Health risk assessment</subject><subject>Humanities and Social Sciences</subject><subject>Humans</subject><subject>Kaplan-Meier Estimate</subject><subject>Kidneys</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>multidisciplinary</subject><subject>Multivariate Analysis</subject><subject>Nutritional status</subject><subject>Prealbumin - metabolism</subject><subject>Probability</subject><subject>Regression analysis</subject><subject>ROC Curve</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><subject>Time Factors</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNplkV1rHCEUhqWkNCHNRf5AEXqTFLbR0XH0JlBC-gGBXjT3csY5k3U7M27USdl_X5dNl00qiMp5fD3yEHLO2WfOhL5KEdeSSyPekJOKyXpRiao6Otgfk7OUVqyMujKSm3fkuNJc1lLzE2J_YZxHuo4IQzuPfqIwddTnRN0SpgdMNDxhpNmPSCGWmVJwHjJ29I_PSzqGmGHweUO3V92ckf723YTb82qOm_fkbQ9DwrPn9ZTcf729v_m-uPv57cfNl7uFk0LnhVYdSGh5h6JXjVNGsa7pTVfzXgGTrWiV4abRrZQ11logAMOmNsq10KITp-R6F7ue2xE7h1OOMNh19CPEjQ3g7cvK5Jf2ITzZutJKyqYEXDwHxPA4Y8p29MnhMMCEYU6WayWUEZrJgn58ha7CHKfyO8sN40o3Wm6pyx3lYkjFUb9vhjO7FWf34gr74bD7PflPUwE-7YBUSsVKPHjyv7S_0WKkCA</recordid><startdate>20170201</startdate><enddate>20170201</enddate><creator>Wang, Wenji</creator><creator>Pan, Yu</creator><creator>Tang, Xiao</creator><creator>Hao, Guihua</creator><creator>Xie, Yingxin</creator><creator>Ma, Shuai</creator><creator>Luo, Jianfeng</creator><creator>Guo, Daqiao</creator><creator>Ding, Feng</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</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>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</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>20170201</creationdate><title>Serum prealbumin and its changes over time are associated with mortality in acute kidney injury</title><author>Wang, Wenji ; Pan, Yu ; Tang, Xiao ; Hao, Guihua ; Xie, Yingxin ; Ma, Shuai ; Luo, Jianfeng ; Guo, Daqiao ; Ding, Feng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c438t-86da4ab1de3f67c6960d7f9d51f6a04b3b691978b445e583eaa0e7596cbabec3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>692/308/53/2422</topic><topic>692/4022/1585/4</topic><topic>692/499</topic><topic>Acute Kidney Injury - blood</topic><topic>Acute Kidney Injury - mortality</topic><topic>Aged</topic><topic>Albumin</topic><topic>Confidence Intervals</topic><topic>Death</topic><topic>Demography</topic><topic>Female</topic><topic>Health risk assessment</topic><topic>Humanities and Social Sciences</topic><topic>Humans</topic><topic>Kaplan-Meier Estimate</topic><topic>Kidneys</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>multidisciplinary</topic><topic>Multivariate Analysis</topic><topic>Nutritional status</topic><topic>Prealbumin - metabolism</topic><topic>Probability</topic><topic>Regression analysis</topic><topic>ROC Curve</topic><topic>Science</topic><topic>Science (multidisciplinary)</topic><topic>Time Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Wenji</creatorcontrib><creatorcontrib>Pan, Yu</creatorcontrib><creatorcontrib>Tang, Xiao</creatorcontrib><creatorcontrib>Hao, Guihua</creatorcontrib><creatorcontrib>Xie, Yingxin</creatorcontrib><creatorcontrib>Ma, Shuai</creatorcontrib><creatorcontrib>Luo, Jianfeng</creatorcontrib><creatorcontrib>Guo, Daqiao</creatorcontrib><creatorcontrib>Ding, Feng</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>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science 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>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</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>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Access via ProQuest (Open Access)</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>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Wenji</au><au>Pan, Yu</au><au>Tang, Xiao</au><au>Hao, Guihua</au><au>Xie, Yingxin</au><au>Ma, Shuai</au><au>Luo, Jianfeng</au><au>Guo, Daqiao</au><au>Ding, Feng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Serum prealbumin and its changes over time are associated with mortality in acute kidney injury</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2017-02-01</date><risdate>2017</risdate><volume>7</volume><issue>1</issue><spage>41493</spage><epage>41493</epage><pages>41493-41493</pages><artnum>41493</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>Serum prealbumin is a clinically relevant indicator of nutritional status and inflammation in patients with acute kidney injury (AKI). This study aimed to determine whether serum prealbumin and its longitudinal changes over a week could improve the prediction of 90-day mortality in AKI patients. This prospective cohort study included 340 adults with AKI between 2014 and 2015. There were 94 (27.6%) patient deaths within 90 days. Serum prealbumin level <10 mg/dL at the time of AKI diagnosis was associated with a 155% increased death risk ratio (adjusted hazard ratio [HR], 2.55; 95% confidence interval [CI], 1.18 to 5.49;
P
= 0.02). Serum prealbumin fall >4 mg/dL was also associated with 90-day mortality in adjusted Cox regression models (HR, 1.79; 95% CI, 1.06 to 3.03;
P
= 0.03). Compared to serum albumin, mortality-predictability of serum prealbumin (
P
= 0.01) and its changes (
P
= 0.01) were both increased. Adding prealbumin and its changes on the conventional covariates improved the prediction of progression to 90-day mortality (NRI 0.29,
P
= 0.04; aIDI 0.08;
P
= 0.03). In conclusion, serum prealbumin, and its changes were independent predictors of worse prognosis in AKI, and could be potential surrogates to better predict 90-day mortality.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>28145481</pmid><doi>10.1038/srep41493</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | 692/308/53/2422 692/4022/1585/4 692/499 Acute Kidney Injury - blood Acute Kidney Injury - mortality Aged Albumin Confidence Intervals Death Demography Female Health risk assessment Humanities and Social Sciences Humans Kaplan-Meier Estimate Kidneys Male Middle Aged Mortality multidisciplinary Multivariate Analysis Nutritional status Prealbumin - metabolism Probability Regression analysis ROC Curve Science Science (multidisciplinary) Time Factors |
title | Serum prealbumin and its changes over time are associated with mortality in acute kidney injury |
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