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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Veröffentlicht in:PloS one 2013-02, Vol.8 (2), p.e56635-e56635
Hauptverfasser: Mallat, Jihad, Barrailler, Stéphanie, Lemyze, Malcolm, Pepy, Florent, Gasan, Gaëlle, Tronchon, Laurent, Thevenin, Didier
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Barrailler, Stéphanie
Lemyze, Malcolm
Pepy, Florent
Gasan, Gaëlle
Tronchon, Laurent
Thevenin, Didier
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.
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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 (&lt;42.7 mEq/L) and alkalosis (&gt;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 (&gt;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). 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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 ; 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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 (&lt;42.7 mEq/L) and alkalosis (&gt;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 (&gt;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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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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