Acid–base effects of continuous infusion furosemide in clinically stable surgical ICU patients: an analysis based on the Stewart model
Objectives We sought to test the strength of correlation between predicted and observed systemic acid–base status based on the Stewart model equations during continuous infusion (CI) furosemide therapy. Design, setting and participants This was a prospective, single-center, observational study condu...
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Veröffentlicht in: | Clinical and experimental nephrology 2020-06, Vol.24 (6), p.541-546 |
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creator | Connor, Kathryn A. Conn, Kelly Kaufman, David C. Haas, Curtis E. |
description | Objectives
We sought to test the strength of correlation between predicted and observed systemic acid–base status based on the Stewart model equations during continuous infusion (CI) furosemide therapy.
Design, setting and participants
This was a prospective, single-center, observational study conducted in the Surgical ICU of a large academic medical center. Ten critically ill patients who received CI furosemide were included.
Main outcomes and measures
The primary purpose was to characterize the relationship between changes in serum electrolyte and acid–base status and the excretion of electrolytes in the urine during infusion of CI furosemide in critically ill patients. As a secondary endpoint, we sought to evaluate the predictive application of the Stewart model. Over 72-h, intake and output volumes, electrolyte content of fluids administered, plasma and urine electrolytes, urine pH, and venous blood gases were collected. Predicted and observed changes in acid-based status were compared for each day of diuretic therapy using Spearman’s correlation coefficient.
Results
The mean (SD) strong ion difference (SID) increased from 45.2 (3.2) at baseline to 49.6 (4.0) after 72 h of continuous infusion furosemide. At Day 1, the mean SID (observed) (SD) was 47.5 (3.5) and the predicted SID was 49.5 (5.8). Day 1 observed plasma SID was positively correlated with the predicted SID (
r
s
= 0.80,
p
= 0.01). By Days 2 and 3, the correlations of observed and predicted SID were no longer statistically significant.
Conclusions and relevance
Using the Stewart model, increases in SID as an indicator of metabolic alkalosis due to the chloruretic effects of furosemide were observed. Predicted and observed SID correlated well over the first 24 h of treatment. |
doi_str_mv | 10.1007/s10157-020-01867-y |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2406442455</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2406442455</sourcerecordid><originalsourceid>FETCH-LOGICAL-c454t-cb572fd83de3cd9b656adf7bb88681251686b7e8bacd47b15857caf2a7dba993</originalsourceid><addsrcrecordid>eNp9kE1rFTEUhoNYbK3-ARcScD01n5OMu3KpWii4aLsO-awpc2euORlkdl269x_6S8z1Vt0VAgkn73nfcx6E3lByRglR74ESKlVHGOkI1b3q1mfohAquOqWG4Xl7c8E6qiQ9Ri8B7gkhepDDC3TMGZVMc36Cfpz7HH49_HQWIo4pRV8Bzwn7eap5WuYFcJ7SAnmecFrKDHGbQ2w17Mc8ZW_HccVQrRsjhqXc7Sv4cnOLd7bmOFX4gO3Ujh1XyID3MQE3r_o14usav9tS8XYOcXyFjpIdIb5-vE_RzceLm83n7urLp8vN-VXnhRS1804qloLmIXIfBtfL3oaknNO615RJ2uveqaid9UEoR6WWytvErArODgM_Re8Otrsyf1siVHM_L6WNB4YJ0gvBhJRNxQ4q3zaGEpPZlby1ZTWUmD17c2BvGnvzh71ZW9PbR-vFbWP41_IXdhPwgwDa13QXy__sJ2x_A5lsk6E</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2406442455</pqid></control><display><type>article</type><title>Acid–base effects of continuous infusion furosemide in clinically stable surgical ICU patients: an analysis based on the Stewart model</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>Connor, Kathryn A. ; Conn, Kelly ; Kaufman, David C. ; Haas, Curtis E.</creator><creatorcontrib>Connor, Kathryn A. ; Conn, Kelly ; Kaufman, David C. ; Haas, Curtis E.</creatorcontrib><description>Objectives
We sought to test the strength of correlation between predicted and observed systemic acid–base status based on the Stewart model equations during continuous infusion (CI) furosemide therapy.
Design, setting and participants
This was a prospective, single-center, observational study conducted in the Surgical ICU of a large academic medical center. Ten critically ill patients who received CI furosemide were included.
Main outcomes and measures
The primary purpose was to characterize the relationship between changes in serum electrolyte and acid–base status and the excretion of electrolytes in the urine during infusion of CI furosemide in critically ill patients. As a secondary endpoint, we sought to evaluate the predictive application of the Stewart model. Over 72-h, intake and output volumes, electrolyte content of fluids administered, plasma and urine electrolytes, urine pH, and venous blood gases were collected. Predicted and observed changes in acid-based status were compared for each day of diuretic therapy using Spearman’s correlation coefficient.
Results
The mean (SD) strong ion difference (SID) increased from 45.2 (3.2) at baseline to 49.6 (4.0) after 72 h of continuous infusion furosemide. At Day 1, the mean SID (observed) (SD) was 47.5 (3.5) and the predicted SID was 49.5 (5.8). Day 1 observed plasma SID was positively correlated with the predicted SID (
r
s
= 0.80,
p
= 0.01). By Days 2 and 3, the correlations of observed and predicted SID were no longer statistically significant.
Conclusions and relevance
Using the Stewart model, increases in SID as an indicator of metabolic alkalosis due to the chloruretic effects of furosemide were observed. Predicted and observed SID correlated well over the first 24 h of treatment.</description><identifier>ISSN: 1342-1751</identifier><identifier>EISSN: 1437-7799</identifier><identifier>DOI: 10.1007/s10157-020-01867-y</identifier><identifier>PMID: 32152833</identifier><language>eng</language><publisher>Singapore: Springer Singapore</publisher><subject>Acid-Base Equilibrium - drug effects ; Acids ; Aged ; Aged, 80 and over ; Alkalosis ; Alkalosis - chemically induced ; Critical Care ; Critical Illness ; Diuretics ; Diuretics - administration & dosage ; Diuretics - adverse effects ; Diuretics - pharmacology ; Electrolytes ; Female ; Furosemide ; Furosemide - administration & dosage ; Furosemide - adverse effects ; Furosemide - pharmacology ; Gases ; Humans ; Infusions, Intravenous ; Ions - blood ; Ions - urine ; Male ; Medicine ; Medicine & Public Health ; Models, Biological ; Nephrology ; Original Article ; Patients ; Postoperative Care ; Prospective Studies ; Statistical analysis ; Urine ; Urology</subject><ispartof>Clinical and experimental nephrology, 2020-06, Vol.24 (6), p.541-546</ispartof><rights>Japanese Society of Nephrology 2020</rights><rights>Japanese Society of Nephrology 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c454t-cb572fd83de3cd9b656adf7bb88681251686b7e8bacd47b15857caf2a7dba993</citedby><cites>FETCH-LOGICAL-c454t-cb572fd83de3cd9b656adf7bb88681251686b7e8bacd47b15857caf2a7dba993</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10157-020-01867-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10157-020-01867-y$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32152833$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Connor, Kathryn A.</creatorcontrib><creatorcontrib>Conn, Kelly</creatorcontrib><creatorcontrib>Kaufman, David C.</creatorcontrib><creatorcontrib>Haas, Curtis E.</creatorcontrib><title>Acid–base effects of continuous infusion furosemide in clinically stable surgical ICU patients: an analysis based on the Stewart model</title><title>Clinical and experimental nephrology</title><addtitle>Clin Exp Nephrol</addtitle><addtitle>Clin Exp Nephrol</addtitle><description>Objectives
We sought to test the strength of correlation between predicted and observed systemic acid–base status based on the Stewart model equations during continuous infusion (CI) furosemide therapy.
Design, setting and participants
This was a prospective, single-center, observational study conducted in the Surgical ICU of a large academic medical center. Ten critically ill patients who received CI furosemide were included.
Main outcomes and measures
The primary purpose was to characterize the relationship between changes in serum electrolyte and acid–base status and the excretion of electrolytes in the urine during infusion of CI furosemide in critically ill patients. As a secondary endpoint, we sought to evaluate the predictive application of the Stewart model. Over 72-h, intake and output volumes, electrolyte content of fluids administered, plasma and urine electrolytes, urine pH, and venous blood gases were collected. Predicted and observed changes in acid-based status were compared for each day of diuretic therapy using Spearman’s correlation coefficient.
Results
The mean (SD) strong ion difference (SID) increased from 45.2 (3.2) at baseline to 49.6 (4.0) after 72 h of continuous infusion furosemide. At Day 1, the mean SID (observed) (SD) was 47.5 (3.5) and the predicted SID was 49.5 (5.8). Day 1 observed plasma SID was positively correlated with the predicted SID (
r
s
= 0.80,
p
= 0.01). By Days 2 and 3, the correlations of observed and predicted SID were no longer statistically significant.
Conclusions and relevance
Using the Stewart model, increases in SID as an indicator of metabolic alkalosis due to the chloruretic effects of furosemide were observed. Predicted and observed SID correlated well over the first 24 h of treatment.</description><subject>Acid-Base Equilibrium - drug effects</subject><subject>Acids</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Alkalosis</subject><subject>Alkalosis - chemically induced</subject><subject>Critical Care</subject><subject>Critical Illness</subject><subject>Diuretics</subject><subject>Diuretics - administration & dosage</subject><subject>Diuretics - adverse effects</subject><subject>Diuretics - pharmacology</subject><subject>Electrolytes</subject><subject>Female</subject><subject>Furosemide</subject><subject>Furosemide - administration & dosage</subject><subject>Furosemide - adverse effects</subject><subject>Furosemide - pharmacology</subject><subject>Gases</subject><subject>Humans</subject><subject>Infusions, Intravenous</subject><subject>Ions - blood</subject><subject>Ions - urine</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Models, Biological</subject><subject>Nephrology</subject><subject>Original Article</subject><subject>Patients</subject><subject>Postoperative Care</subject><subject>Prospective Studies</subject><subject>Statistical analysis</subject><subject>Urine</subject><subject>Urology</subject><issn>1342-1751</issn><issn>1437-7799</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp9kE1rFTEUhoNYbK3-ARcScD01n5OMu3KpWii4aLsO-awpc2euORlkdl269x_6S8z1Vt0VAgkn73nfcx6E3lByRglR74ESKlVHGOkI1b3q1mfohAquOqWG4Xl7c8E6qiQ9Ri8B7gkhepDDC3TMGZVMc36Cfpz7HH49_HQWIo4pRV8Bzwn7eap5WuYFcJ7SAnmecFrKDHGbQ2w17Mc8ZW_HccVQrRsjhqXc7Sv4cnOLd7bmOFX4gO3Ujh1XyID3MQE3r_o14usav9tS8XYOcXyFjpIdIb5-vE_RzceLm83n7urLp8vN-VXnhRS1804qloLmIXIfBtfL3oaknNO615RJ2uveqaid9UEoR6WWytvErArODgM_Re8Otrsyf1siVHM_L6WNB4YJ0gvBhJRNxQ4q3zaGEpPZlby1ZTWUmD17c2BvGnvzh71ZW9PbR-vFbWP41_IXdhPwgwDa13QXy__sJ2x_A5lsk6E</recordid><startdate>20200601</startdate><enddate>20200601</enddate><creator>Connor, Kathryn A.</creator><creator>Conn, Kelly</creator><creator>Kaufman, David C.</creator><creator>Haas, Curtis E.</creator><general>Springer Singapore</general><general>Springer Nature B.V</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>3V.</scope><scope>7QP</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20200601</creationdate><title>Acid–base effects of continuous infusion furosemide in clinically stable surgical ICU patients: an analysis based on the Stewart model</title><author>Connor, Kathryn A. ; Conn, Kelly ; Kaufman, David C. ; Haas, Curtis E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c454t-cb572fd83de3cd9b656adf7bb88681251686b7e8bacd47b15857caf2a7dba993</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Acid-Base Equilibrium - drug effects</topic><topic>Acids</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Alkalosis</topic><topic>Alkalosis - chemically induced</topic><topic>Critical Care</topic><topic>Critical Illness</topic><topic>Diuretics</topic><topic>Diuretics - administration & dosage</topic><topic>Diuretics - adverse effects</topic><topic>Diuretics - pharmacology</topic><topic>Electrolytes</topic><topic>Female</topic><topic>Furosemide</topic><topic>Furosemide - administration & dosage</topic><topic>Furosemide - adverse effects</topic><topic>Furosemide - pharmacology</topic><topic>Gases</topic><topic>Humans</topic><topic>Infusions, Intravenous</topic><topic>Ions - blood</topic><topic>Ions - urine</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Models, Biological</topic><topic>Nephrology</topic><topic>Original Article</topic><topic>Patients</topic><topic>Postoperative Care</topic><topic>Prospective Studies</topic><topic>Statistical analysis</topic><topic>Urine</topic><topic>Urology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Connor, Kathryn A.</creatorcontrib><creatorcontrib>Conn, Kelly</creatorcontrib><creatorcontrib>Kaufman, David C.</creatorcontrib><creatorcontrib>Haas, Curtis E.</creatorcontrib><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>Calcium & Calcified Tissue Abstracts</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>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</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</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><jtitle>Clinical and experimental nephrology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Connor, Kathryn A.</au><au>Conn, Kelly</au><au>Kaufman, David C.</au><au>Haas, Curtis E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Acid–base effects of continuous infusion furosemide in clinically stable surgical ICU patients: an analysis based on the Stewart model</atitle><jtitle>Clinical and experimental nephrology</jtitle><stitle>Clin Exp Nephrol</stitle><addtitle>Clin Exp Nephrol</addtitle><date>2020-06-01</date><risdate>2020</risdate><volume>24</volume><issue>6</issue><spage>541</spage><epage>546</epage><pages>541-546</pages><issn>1342-1751</issn><eissn>1437-7799</eissn><abstract>Objectives
We sought to test the strength of correlation between predicted and observed systemic acid–base status based on the Stewart model equations during continuous infusion (CI) furosemide therapy.
Design, setting and participants
This was a prospective, single-center, observational study conducted in the Surgical ICU of a large academic medical center. Ten critically ill patients who received CI furosemide were included.
Main outcomes and measures
The primary purpose was to characterize the relationship between changes in serum electrolyte and acid–base status and the excretion of electrolytes in the urine during infusion of CI furosemide in critically ill patients. As a secondary endpoint, we sought to evaluate the predictive application of the Stewart model. Over 72-h, intake and output volumes, electrolyte content of fluids administered, plasma and urine electrolytes, urine pH, and venous blood gases were collected. Predicted and observed changes in acid-based status were compared for each day of diuretic therapy using Spearman’s correlation coefficient.
Results
The mean (SD) strong ion difference (SID) increased from 45.2 (3.2) at baseline to 49.6 (4.0) after 72 h of continuous infusion furosemide. At Day 1, the mean SID (observed) (SD) was 47.5 (3.5) and the predicted SID was 49.5 (5.8). Day 1 observed plasma SID was positively correlated with the predicted SID (
r
s
= 0.80,
p
= 0.01). By Days 2 and 3, the correlations of observed and predicted SID were no longer statistically significant.
Conclusions and relevance
Using the Stewart model, increases in SID as an indicator of metabolic alkalosis due to the chloruretic effects of furosemide were observed. Predicted and observed SID correlated well over the first 24 h of treatment.</abstract><cop>Singapore</cop><pub>Springer Singapore</pub><pmid>32152833</pmid><doi>10.1007/s10157-020-01867-y</doi><tpages>6</tpages></addata></record> |
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subjects | Acid-Base Equilibrium - drug effects Acids Aged Aged, 80 and over Alkalosis Alkalosis - chemically induced Critical Care Critical Illness Diuretics Diuretics - administration & dosage Diuretics - adverse effects Diuretics - pharmacology Electrolytes Female Furosemide Furosemide - administration & dosage Furosemide - adverse effects Furosemide - pharmacology Gases Humans Infusions, Intravenous Ions - blood Ions - urine Male Medicine Medicine & Public Health Models, Biological Nephrology Original Article Patients Postoperative Care Prospective Studies Statistical analysis Urine Urology |
title | Acid–base effects of continuous infusion furosemide in clinically stable surgical ICU patients: an analysis based on the Stewart model |
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