Arterial Elastance: A Predictor of Hypotension Due to Anesthesia Induction
Hypotension is common after anesthesia induction and may have adverse outcomes. The aim of this study was to investigate whether arterial elastance (Ea) is a predictor of post-induction hypotension. Between January and June 2022, the hemodynamic parameters of 85 patients who underwent major surgery...
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Veröffentlicht in: | Journal of clinical medicine 2023-04, Vol.12 (9), p.3155 |
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description | Hypotension is common after anesthesia induction and may have adverse outcomes. The aim of this study was to investigate whether arterial elastance (Ea) is a predictor of post-induction hypotension.
Between January and June 2022, the hemodynamic parameters of 85 patients who underwent major surgery under general anesthesia were prospectively evaluated. The noncalibrated pulse contour device MostCare (Vytech, Vygon, Padua, Italy) was used to measure hemodynamic parameters before and after anesthesia induction. The duration of the measurements was determined from one minute before induction to 10 min after induction. Hypotension was defined as a greater than 30% decrease in mean arterial pressure from the pre-induction value and/or systolic arterial pressure of less than 90 mmHg. The patients were divided into post-induction hypotension (-) and (+) groups. For the likelihood of post-induction hypotension, a multivariate regression model was used by adding significantly different pre-induction parameters to the post-induction hypotension group.
The incidence of post-induction hypotension was 37.6%. The cut-off value of the pre-induction Ea for the prediction of post-induction hypotension was ≥1.08 mmHg m
mL
(0.71 [0.59-0.82]). In the multivariate regression model, the likelihood of postinduction hypotension was 3.5-fold (1.4-9.1), increased by only an Ea ≥ 1.08 mmHg m
mL
.
Pre-induction Ea showed excellent predictability of hypotension during anesthetic induction and identified patients at risk of general anesthesia induction-related hypotension. |
doi_str_mv | 10.3390/jcm12093155 |
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Between January and June 2022, the hemodynamic parameters of 85 patients who underwent major surgery under general anesthesia were prospectively evaluated. The noncalibrated pulse contour device MostCare (Vytech, Vygon, Padua, Italy) was used to measure hemodynamic parameters before and after anesthesia induction. The duration of the measurements was determined from one minute before induction to 10 min after induction. Hypotension was defined as a greater than 30% decrease in mean arterial pressure from the pre-induction value and/or systolic arterial pressure of less than 90 mmHg. The patients were divided into post-induction hypotension (-) and (+) groups. For the likelihood of post-induction hypotension, a multivariate regression model was used by adding significantly different pre-induction parameters to the post-induction hypotension group.
The incidence of post-induction hypotension was 37.6%. The cut-off value of the pre-induction Ea for the prediction of post-induction hypotension was ≥1.08 mmHg m
mL
(0.71 [0.59-0.82]). In the multivariate regression model, the likelihood of postinduction hypotension was 3.5-fold (1.4-9.1), increased by only an Ea ≥ 1.08 mmHg m
mL
.
Pre-induction Ea showed excellent predictability of hypotension during anesthetic induction and identified patients at risk of general anesthesia induction-related hypotension.</description><identifier>ISSN: 2077-0383</identifier><identifier>EISSN: 2077-0383</identifier><identifier>DOI: 10.3390/jcm12093155</identifier><identifier>PMID: 37176595</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Beta blockers ; Blood pressure ; Cardiovascular disease ; Cardiovascular system ; Clinical medicine ; Ethics ; General anesthesia ; Heart failure ; Hemodynamics ; Hypertension ; Hypotension ; Patients ; Regression analysis ; Surgery</subject><ispartof>Journal of clinical medicine, 2023-04, Vol.12 (9), p.3155</ispartof><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 by the authors. 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c410t-dedaf502fab4d0a9a912401650bcf96722e374ca9704fe4f0731b7d3819daba93</citedby><cites>FETCH-LOGICAL-c410t-dedaf502fab4d0a9a912401650bcf96722e374ca9704fe4f0731b7d3819daba93</cites><orcidid>0000-0002-4889-6649 ; 0000-0002-1456-4072 ; 0000-0002-4464-4591 ; 0000-0002-1352-7667</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/PMC10179039/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10179039/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,725,778,782,883,27911,27912,53778,53780</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37176595$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Aktas Yildirim, Serap</creatorcontrib><creatorcontrib>Sarikaya, Zeynep Tugce</creatorcontrib><creatorcontrib>Dogan, Lerzan</creatorcontrib><creatorcontrib>Ulugol, Halim</creatorcontrib><creatorcontrib>Gucyetmez, Bulent</creatorcontrib><creatorcontrib>Toraman, Fevzi</creatorcontrib><title>Arterial Elastance: A Predictor of Hypotension Due to Anesthesia Induction</title><title>Journal of clinical medicine</title><addtitle>J Clin Med</addtitle><description>Hypotension is common after anesthesia induction and may have adverse outcomes. The aim of this study was to investigate whether arterial elastance (Ea) is a predictor of post-induction hypotension.
Between January and June 2022, the hemodynamic parameters of 85 patients who underwent major surgery under general anesthesia were prospectively evaluated. The noncalibrated pulse contour device MostCare (Vytech, Vygon, Padua, Italy) was used to measure hemodynamic parameters before and after anesthesia induction. The duration of the measurements was determined from one minute before induction to 10 min after induction. Hypotension was defined as a greater than 30% decrease in mean arterial pressure from the pre-induction value and/or systolic arterial pressure of less than 90 mmHg. The patients were divided into post-induction hypotension (-) and (+) groups. For the likelihood of post-induction hypotension, a multivariate regression model was used by adding significantly different pre-induction parameters to the post-induction hypotension group.
The incidence of post-induction hypotension was 37.6%. The cut-off value of the pre-induction Ea for the prediction of post-induction hypotension was ≥1.08 mmHg m
mL
(0.71 [0.59-0.82]). In the multivariate regression model, the likelihood of postinduction hypotension was 3.5-fold (1.4-9.1), increased by only an Ea ≥ 1.08 mmHg m
mL
.
Pre-induction Ea showed excellent predictability of hypotension during anesthetic induction and identified patients at risk of general anesthesia induction-related hypotension.</description><subject>Beta blockers</subject><subject>Blood pressure</subject><subject>Cardiovascular disease</subject><subject>Cardiovascular system</subject><subject>Clinical medicine</subject><subject>Ethics</subject><subject>General anesthesia</subject><subject>Heart failure</subject><subject>Hemodynamics</subject><subject>Hypertension</subject><subject>Hypotension</subject><subject>Patients</subject><subject>Regression analysis</subject><subject>Surgery</subject><issn>2077-0383</issn><issn>2077-0383</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpdkc1LAzEQxYMoKtWTdwl4EaQ6-Wo2XqTU-oWgBz2HbDZrt2yTmmQF_3u3WKU6lxl4Px7zeAgdEThnTMHF3C4IBcWIEFton4KUQ2AF296499BhSnPopyg4JXIX7TFJ5EgosY8exjG72JgWT1uTsvHWXeIxfo6uamwOEYca330uQ3Y-NcHj687hHPDYu5RnLjUG3_uqs7nXDtBObdrkDtd7gF5vpi-Tu-Hj0-39ZPw4tJxAHlauMrUAWpuSV2CUUYRyICMBpa3VSFLqmOTWKAm8drwGyUgpK1YQVZnSKDZAV9--y65cuMo6n6Np9TI2CxM_dTCN_qv4ZqbfwocmQKQCtnI4XTvE8N71SfSiSda1rfEudEnTgjAhFBO8R0_-ofPQRd_nW1GUS1CU9tTZN2VjSCm6-vcbAnrVk97oqaePNwP8sj-tsC9X5Y1z</recordid><startdate>20230427</startdate><enddate>20230427</enddate><creator>Aktas Yildirim, Serap</creator><creator>Sarikaya, Zeynep Tugce</creator><creator>Dogan, Lerzan</creator><creator>Ulugol, Halim</creator><creator>Gucyetmez, Bulent</creator><creator>Toraman, Fevzi</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-4889-6649</orcidid><orcidid>https://orcid.org/0000-0002-1456-4072</orcidid><orcidid>https://orcid.org/0000-0002-4464-4591</orcidid><orcidid>https://orcid.org/0000-0002-1352-7667</orcidid></search><sort><creationdate>20230427</creationdate><title>Arterial Elastance: A Predictor of Hypotension Due to Anesthesia Induction</title><author>Aktas Yildirim, Serap ; Sarikaya, Zeynep Tugce ; Dogan, Lerzan ; Ulugol, Halim ; Gucyetmez, Bulent ; Toraman, Fevzi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c410t-dedaf502fab4d0a9a912401650bcf96722e374ca9704fe4f0731b7d3819daba93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Beta blockers</topic><topic>Blood pressure</topic><topic>Cardiovascular disease</topic><topic>Cardiovascular system</topic><topic>Clinical medicine</topic><topic>Ethics</topic><topic>General anesthesia</topic><topic>Heart failure</topic><topic>Hemodynamics</topic><topic>Hypertension</topic><topic>Hypotension</topic><topic>Patients</topic><topic>Regression analysis</topic><topic>Surgery</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Aktas Yildirim, Serap</creatorcontrib><creatorcontrib>Sarikaya, Zeynep Tugce</creatorcontrib><creatorcontrib>Dogan, Lerzan</creatorcontrib><creatorcontrib>Ulugol, Halim</creatorcontrib><creatorcontrib>Gucyetmez, Bulent</creatorcontrib><creatorcontrib>Toraman, Fevzi</creatorcontrib><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>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>ProQuest Central</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 Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Publicly Available Content 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><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of clinical medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Aktas Yildirim, Serap</au><au>Sarikaya, Zeynep Tugce</au><au>Dogan, Lerzan</au><au>Ulugol, Halim</au><au>Gucyetmez, Bulent</au><au>Toraman, Fevzi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Arterial Elastance: A Predictor of Hypotension Due to Anesthesia Induction</atitle><jtitle>Journal of clinical medicine</jtitle><addtitle>J Clin Med</addtitle><date>2023-04-27</date><risdate>2023</risdate><volume>12</volume><issue>9</issue><spage>3155</spage><pages>3155-</pages><issn>2077-0383</issn><eissn>2077-0383</eissn><abstract>Hypotension is common after anesthesia induction and may have adverse outcomes. The aim of this study was to investigate whether arterial elastance (Ea) is a predictor of post-induction hypotension.
Between January and June 2022, the hemodynamic parameters of 85 patients who underwent major surgery under general anesthesia were prospectively evaluated. The noncalibrated pulse contour device MostCare (Vytech, Vygon, Padua, Italy) was used to measure hemodynamic parameters before and after anesthesia induction. The duration of the measurements was determined from one minute before induction to 10 min after induction. Hypotension was defined as a greater than 30% decrease in mean arterial pressure from the pre-induction value and/or systolic arterial pressure of less than 90 mmHg. The patients were divided into post-induction hypotension (-) and (+) groups. For the likelihood of post-induction hypotension, a multivariate regression model was used by adding significantly different pre-induction parameters to the post-induction hypotension group.
The incidence of post-induction hypotension was 37.6%. The cut-off value of the pre-induction Ea for the prediction of post-induction hypotension was ≥1.08 mmHg m
mL
(0.71 [0.59-0.82]). In the multivariate regression model, the likelihood of postinduction hypotension was 3.5-fold (1.4-9.1), increased by only an Ea ≥ 1.08 mmHg m
mL
.
Pre-induction Ea showed excellent predictability of hypotension during anesthetic induction and identified patients at risk of general anesthesia induction-related hypotension.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>37176595</pmid><doi>10.3390/jcm12093155</doi><orcidid>https://orcid.org/0000-0002-4889-6649</orcidid><orcidid>https://orcid.org/0000-0002-1456-4072</orcidid><orcidid>https://orcid.org/0000-0002-4464-4591</orcidid><orcidid>https://orcid.org/0000-0002-1352-7667</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Beta blockers Blood pressure Cardiovascular disease Cardiovascular system Clinical medicine Ethics General anesthesia Heart failure Hemodynamics Hypertension Hypotension Patients Regression analysis Surgery |
title | Arterial Elastance: A Predictor of Hypotension Due to Anesthesia Induction |
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