Use of sodium-chloride difference and corrected anion gap as surrogates of Stewart variables in critically ill patients
To investigate whether the difference between sodium and chloride ([Na(+)] - [Cl(-)]) and anion gap corrected for albumin and lactate (AG(corr)) could be used as apparent strong ion difference (SID(app)) and strong ion gap (SIG) surrogates (respectively) in critically ill patients. A total of 341 pa...
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description | To investigate whether the difference between sodium and chloride ([Na(+)] - [Cl(-)]) and anion gap corrected for albumin and lactate (AG(corr)) could be used as apparent strong ion difference (SID(app)) and strong ion gap (SIG) surrogates (respectively) in critically ill patients.
A total of 341 patients were prospectively observed; 161 were allocated to the modeling group, and 180 to the validation group. Simple regression analysis was used to construct a mathematical model between SID(app) and [Na(+)] - [Cl(-)] and between SIG and AG(corr) in the modeling group. Area under the receiver operating characteristic (ROC) curve was also measured. The mathematical models were tested in the validation group.
in the modeling group, SID(app) and SIG were well predicted by [Na(+)] - [Cl(-)] and AG(corr) (R(2) = 0.973 and 0.96, respectively). Accuracy values of [Na(+)] - [Cl(-)] for the identification of SID(app) acidosis (47.5 mEq/L) were 0.992 (95% confidence interval [CI], 0.963-1) and 0.998 (95%CI, 0.972-1), respectively. The accuracy of AG(corr) in revealing SIG acidosis (>8 mEq/L) was 0.974 (95%CI: 0.936-0.993). These results were validated by showing excellent correlations and good agreements between predicted and measured SID(app) and between predicted and measured SIG in the validation group (R(2) = 0.977; bias = 0±1.5 mEq/L and R(2) = 0.96; bias = -0.2±1.8 mEq/L, respectively).
SID(app) and SIG can be substituted by [Na(+)] - [Cl(-)] and by AG(corr) respectively in the diagnosis and management of acid-base disorders in critically ill patients. |
doi_str_mv | 10.1371/journal.pone.0056635 |
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A total of 341 patients were prospectively observed; 161 were allocated to the modeling group, and 180 to the validation group. Simple regression analysis was used to construct a mathematical model between SID(app) and [Na(+)] - [Cl(-)] and between SIG and AG(corr) in the modeling group. Area under the receiver operating characteristic (ROC) curve was also measured. The mathematical models were tested in the validation group.
in the modeling group, SID(app) and SIG were well predicted by [Na(+)] - [Cl(-)] and AG(corr) (R(2) = 0.973 and 0.96, respectively). Accuracy values of [Na(+)] - [Cl(-)] for the identification of SID(app) acidosis (<42.7 mEq/L) and alkalosis (>47.5 mEq/L) were 0.992 (95% confidence interval [CI], 0.963-1) and 0.998 (95%CI, 0.972-1), respectively. The accuracy of AG(corr) in revealing SIG acidosis (>8 mEq/L) was 0.974 (95%CI: 0.936-0.993). These results were validated by showing excellent correlations and good agreements between predicted and measured SID(app) and between predicted and measured SIG in the validation group (R(2) = 0.977; bias = 0±1.5 mEq/L and R(2) = 0.96; bias = -0.2±1.8 mEq/L, respectively).
SID(app) and SIG can be substituted by [Na(+)] - [Cl(-)] and by AG(corr) respectively in the diagnosis and management of acid-base disorders in critically ill patients.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0056635</identifier><identifier>PMID: 23418590</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Accuracy ; Acid-Base Equilibrium ; Acid-Base Imbalance - blood ; Acid-Base Imbalance - diagnosis ; Acidosis ; Acids ; Aged ; Alkalosis ; Anions ; Bias ; Biology ; Biomarkers - blood ; Chloride ; Chlorides ; Chlorides - blood ; Confidence intervals ; Consent ; Critical Illness ; Ethics ; Female ; Humans ; Intensive care ; Intensive Care Units ; Laboratories ; Lactic acid ; Linear Models ; Male ; Mathematical models ; Medicine ; Metabolism ; Methods ; Middle Aged ; Patients ; Prospective Studies ; Reference Values ; Regression analysis ; ROC Curve ; Sodium ; Sodium - blood ; Statistical analysis</subject><ispartof>PloS one, 2013-02, Vol.8 (2), p.e56635-e56635</ispartof><rights>COPYRIGHT 2013 Public Library of Science</rights><rights>2013 Mallat et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2013 Mallat et al 2013 Mallat et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-62763086168cfa18ca8442564e353c389f5c82ef9c74dd72a7406237de4b5df13</citedby><cites>FETCH-LOGICAL-c692t-62763086168cfa18ca8442564e353c389f5c82ef9c74dd72a7406237de4b5df13</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/PMC3572048/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3572048/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,2103,2929,23870,27928,27929,53795,53797</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23418590$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Sen, Utpal</contributor><creatorcontrib>Mallat, Jihad</creatorcontrib><creatorcontrib>Barrailler, Stéphanie</creatorcontrib><creatorcontrib>Lemyze, Malcolm</creatorcontrib><creatorcontrib>Pepy, Florent</creatorcontrib><creatorcontrib>Gasan, Gaëlle</creatorcontrib><creatorcontrib>Tronchon, Laurent</creatorcontrib><creatorcontrib>Thevenin, Didier</creatorcontrib><title>Use of sodium-chloride difference and corrected anion gap as surrogates of Stewart variables in critically ill patients</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>To investigate whether the difference between sodium and chloride ([Na(+)] - [Cl(-)]) and anion gap corrected for albumin and lactate (AG(corr)) could be used as apparent strong ion difference (SID(app)) and strong ion gap (SIG) surrogates (respectively) in critically ill patients.
A total of 341 patients were prospectively observed; 161 were allocated to the modeling group, and 180 to the validation group. Simple regression analysis was used to construct a mathematical model between SID(app) and [Na(+)] - [Cl(-)] and between SIG and AG(corr) in the modeling group. Area under the receiver operating characteristic (ROC) curve was also measured. The mathematical models were tested in the validation group.
in the modeling group, SID(app) and SIG were well predicted by [Na(+)] - [Cl(-)] and AG(corr) (R(2) = 0.973 and 0.96, respectively). Accuracy values of [Na(+)] - [Cl(-)] for the identification of SID(app) acidosis (<42.7 mEq/L) and alkalosis (>47.5 mEq/L) were 0.992 (95% confidence interval [CI], 0.963-1) and 0.998 (95%CI, 0.972-1), respectively. The accuracy of AG(corr) in revealing SIG acidosis (>8 mEq/L) was 0.974 (95%CI: 0.936-0.993). These results were validated by showing excellent correlations and good agreements between predicted and measured SID(app) and between predicted and measured SIG in the validation group (R(2) = 0.977; bias = 0±1.5 mEq/L and R(2) = 0.96; bias = -0.2±1.8 mEq/L, respectively).
SID(app) and SIG can be substituted by [Na(+)] - [Cl(-)] and by AG(corr) respectively in the diagnosis and management of acid-base disorders in critically ill patients.</description><subject>Accuracy</subject><subject>Acid-Base Equilibrium</subject><subject>Acid-Base Imbalance - blood</subject><subject>Acid-Base Imbalance - diagnosis</subject><subject>Acidosis</subject><subject>Acids</subject><subject>Aged</subject><subject>Alkalosis</subject><subject>Anions</subject><subject>Bias</subject><subject>Biology</subject><subject>Biomarkers - blood</subject><subject>Chloride</subject><subject>Chlorides</subject><subject>Chlorides - blood</subject><subject>Confidence intervals</subject><subject>Consent</subject><subject>Critical Illness</subject><subject>Ethics</subject><subject>Female</subject><subject>Humans</subject><subject>Intensive care</subject><subject>Intensive Care Units</subject><subject>Laboratories</subject><subject>Lactic acid</subject><subject>Linear Models</subject><subject>Male</subject><subject>Mathematical models</subject><subject>Medicine</subject><subject>Metabolism</subject><subject>Methods</subject><subject>Middle Aged</subject><subject>Patients</subject><subject>Prospective Studies</subject><subject>Reference Values</subject><subject>Regression analysis</subject><subject>ROC Curve</subject><subject>Sodium</subject><subject>Sodium - blood</subject><subject>Statistical analysis</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk11rFDEUhgdRbK3-A9EBQfRi13zM5ONGKMWPhULBWm9DNjmzmyU72SaZ1v57s-607EovJBeTOXnOm7wnOVX1GqMpphx_WoUh9tpPN6GHKUItY7R9Uh1jScmEEUSf7s2PqhcprQpEBWPPqyNCGyxaiY6r26sEdejqFKwb1hOz9CE6C7V1XQcRegO17m1tQoxgMtjy50JfL_Sm1qlOQ4xhoTOkrcZlhlsdc32jo9NzX4Kur0102Rnt_V3tvK83Ojvoc3pZPeu0T_Bq_J5UV1-__Dz7Pjm_-DY7Oz2fGCZJLofnjCLBMBOm01gYLZqGtKwB2lJDhexaIwh00vDGWk40bxAjlFto5q3tMD2p3u50Nz4kNdYsKUyLqmiZ5IWY7Qgb9EptolvreKeCdupvIMSFKqac8aCw4Bwhhglh0FDZSmJxi1qQc6kl4qhofR53G-ZrsKY4jdofiB6u9G6pFuFG0ZYT1Igi8GEUiOF6gJTV2iUD3usewlDOTYRsOEVo6-zdP-jj7kZqoYsB13eh7Gu2ouq04YJIXopbqOkjVBkW1s6UB9a5Ej9I-HiQUJgMv_NCDymp2eWP_2cvfh2y7_fYJWiflyn4IZdHlw7BZgeaGFKK0D0UGSO17Y_7aqhtf6ixP0ram_0Leki6bwj6ByRJChE</recordid><startdate>20130213</startdate><enddate>20130213</enddate><creator>Mallat, Jihad</creator><creator>Barrailler, Stéphanie</creator><creator>Lemyze, Malcolm</creator><creator>Pepy, Florent</creator><creator>Gasan, Gaëlle</creator><creator>Tronchon, Laurent</creator><creator>Thevenin, Didier</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20130213</creationdate><title>Use of sodium-chloride difference and corrected anion gap as surrogates of Stewart variables in critically ill patients</title><author>Mallat, Jihad ; Barrailler, Stéphanie ; Lemyze, Malcolm ; Pepy, Florent ; Gasan, Gaëlle ; Tronchon, Laurent ; Thevenin, Didier</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-62763086168cfa18ca8442564e353c389f5c82ef9c74dd72a7406237de4b5df13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Accuracy</topic><topic>Acid-Base Equilibrium</topic><topic>Acid-Base Imbalance - blood</topic><topic>Acid-Base Imbalance - diagnosis</topic><topic>Acidosis</topic><topic>Acids</topic><topic>Aged</topic><topic>Alkalosis</topic><topic>Anions</topic><topic>Bias</topic><topic>Biology</topic><topic>Biomarkers - blood</topic><topic>Chloride</topic><topic>Chlorides</topic><topic>Chlorides - blood</topic><topic>Confidence intervals</topic><topic>Consent</topic><topic>Critical Illness</topic><topic>Ethics</topic><topic>Female</topic><topic>Humans</topic><topic>Intensive care</topic><topic>Intensive Care Units</topic><topic>Laboratories</topic><topic>Lactic acid</topic><topic>Linear Models</topic><topic>Male</topic><topic>Mathematical models</topic><topic>Medicine</topic><topic>Metabolism</topic><topic>Methods</topic><topic>Middle Aged</topic><topic>Patients</topic><topic>Prospective Studies</topic><topic>Reference Values</topic><topic>Regression analysis</topic><topic>ROC Curve</topic><topic>Sodium</topic><topic>Sodium - blood</topic><topic>Statistical analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mallat, Jihad</creatorcontrib><creatorcontrib>Barrailler, Stéphanie</creatorcontrib><creatorcontrib>Lemyze, Malcolm</creatorcontrib><creatorcontrib>Pepy, Florent</creatorcontrib><creatorcontrib>Gasan, Gaëlle</creatorcontrib><creatorcontrib>Tronchon, Laurent</creatorcontrib><creatorcontrib>Thevenin, Didier</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</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>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology 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>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mallat, Jihad</au><au>Barrailler, Stéphanie</au><au>Lemyze, Malcolm</au><au>Pepy, Florent</au><au>Gasan, Gaëlle</au><au>Tronchon, Laurent</au><au>Thevenin, Didier</au><au>Sen, Utpal</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Use of sodium-chloride difference and corrected anion gap as surrogates of Stewart variables in critically ill patients</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2013-02-13</date><risdate>2013</risdate><volume>8</volume><issue>2</issue><spage>e56635</spage><epage>e56635</epage><pages>e56635-e56635</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>To investigate whether the difference between sodium and chloride ([Na(+)] - [Cl(-)]) and anion gap corrected for albumin and lactate (AG(corr)) could be used as apparent strong ion difference (SID(app)) and strong ion gap (SIG) surrogates (respectively) in critically ill patients.
A total of 341 patients were prospectively observed; 161 were allocated to the modeling group, and 180 to the validation group. Simple regression analysis was used to construct a mathematical model between SID(app) and [Na(+)] - [Cl(-)] and between SIG and AG(corr) in the modeling group. Area under the receiver operating characteristic (ROC) curve was also measured. The mathematical models were tested in the validation group.
in the modeling group, SID(app) and SIG were well predicted by [Na(+)] - [Cl(-)] and AG(corr) (R(2) = 0.973 and 0.96, respectively). Accuracy values of [Na(+)] - [Cl(-)] for the identification of SID(app) acidosis (<42.7 mEq/L) and alkalosis (>47.5 mEq/L) were 0.992 (95% confidence interval [CI], 0.963-1) and 0.998 (95%CI, 0.972-1), respectively. The accuracy of AG(corr) in revealing SIG acidosis (>8 mEq/L) was 0.974 (95%CI: 0.936-0.993). These results were validated by showing excellent correlations and good agreements between predicted and measured SID(app) and between predicted and measured SIG in the validation group (R(2) = 0.977; bias = 0±1.5 mEq/L and R(2) = 0.96; bias = -0.2±1.8 mEq/L, respectively).
SID(app) and SIG can be substituted by [Na(+)] - [Cl(-)] and by AG(corr) respectively in the diagnosis and management of acid-base disorders in critically ill patients.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>23418590</pmid><doi>10.1371/journal.pone.0056635</doi><tpages>e56635</tpages><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Accuracy Acid-Base Equilibrium Acid-Base Imbalance - blood Acid-Base Imbalance - diagnosis Acidosis Acids Aged Alkalosis Anions Bias Biology Biomarkers - blood Chloride Chlorides Chlorides - blood Confidence intervals Consent Critical Illness Ethics Female Humans Intensive care Intensive Care Units Laboratories Lactic acid Linear Models Male Mathematical models Medicine Metabolism Methods Middle Aged Patients Prospective Studies Reference Values Regression analysis ROC Curve Sodium Sodium - blood Statistical analysis |
title | Use of sodium-chloride difference and corrected anion gap as surrogates of Stewart variables in critically ill patients |
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