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Peripheral tissue hypoperfusion predicts post intubation hemodynamic instability
Background Tracheal intubation and invasive mechanical ventilation initiation is a procedure at high risk for arterial hypotension in intensive care unit. However, little is known about the relationship between pre-existing peripheral microvascular alteration and post-intubation hemodynamic instabil...
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Published in: | Annals of intensive care 2022-07, Vol.12 (1), p.68-68, Article 68 |
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creator | Dubée, Vincent Hariri, Geoffroy Joffre, Jérémie Hagry, Julien Raia, Lisa Bonny, Vincent Gabarre, Paul Ehrminger, Sebastien Bigé, Naike Baudel, Jean-Luc Guidet, Bertrand Maury, Eric Dumas, Guillaume Ait-Oufella, Hafid |
description | Background
Tracheal intubation and invasive mechanical ventilation initiation is a procedure at high risk for arterial hypotension in intensive care unit. However, little is known about the relationship between pre-existing peripheral microvascular alteration and post-intubation hemodynamic instability (PIHI).
Methods
Prospective observational monocenter study conducted in an 18-bed medical ICU. Consecutive patients requiring tracheal intubation were eligible for the study. Global hemodynamic parameters (blood pressure, heart rate, cardiac function) and tissue perfusion parameters (arterial lactate, mottling score, capillary refill time [CRT], toe-to-room gradient temperature) were recorded before, 5 min and 2 h after tracheal intubation (TI). Post intubation hemodynamic instability (PIHI) was defined as any hemodynamic event requiring therapeutic intervention.
Results
During 1 year, 120 patients were included, mainly male (59%) with a median age of 68 [57–77]. The median SOFA score and SAPS II were 6 [4–9] and 47 [37–63], respectively. The main indications for tracheal intubation were hypoxemia (51%), hypercapnia (13%), and coma (29%). In addition, 48% of patients had sepsis and 16% septic shock. Fifty-one (42%) patients develop PIHI. Univariate analysis identified several baseline factors associated with PIHI, including norepinephrine prior to TI, sepsis, tachycardia, fever, higher SOFA and high SAPSII score, mottling score ≥ 3, high lactate level and prolonged knee CRT. By contrast, mean arterial pressure, baseline cardiac index, and ejection fraction were not different between PIHI and No-PIHI groups. After adjustment on potential confounders, the mottling score was associated with a higher risk for PIHI (adjusted OR: 1.84 [1.21–2.82] per 1 point increased;
p
= 0.005). Among both global haemodynamics and tissue perfusion parameters, baseline mottling score was the best predictor of PIHI (AUC: 0.72 (CI 95% [0.62–0.81]).
Conclusions
In non-selected critically ill patients requiring invasive mechanical ventilation, tissue hypoperfusion parameters, especially the mottling score, could be helpful to predict PIHI. |
doi_str_mv | 10.1186/s13613-022-01043-3 |
format | article |
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Tracheal intubation and invasive mechanical ventilation initiation is a procedure at high risk for arterial hypotension in intensive care unit. However, little is known about the relationship between pre-existing peripheral microvascular alteration and post-intubation hemodynamic instability (PIHI).
Methods
Prospective observational monocenter study conducted in an 18-bed medical ICU. Consecutive patients requiring tracheal intubation were eligible for the study. Global hemodynamic parameters (blood pressure, heart rate, cardiac function) and tissue perfusion parameters (arterial lactate, mottling score, capillary refill time [CRT], toe-to-room gradient temperature) were recorded before, 5 min and 2 h after tracheal intubation (TI). Post intubation hemodynamic instability (PIHI) was defined as any hemodynamic event requiring therapeutic intervention.
Results
During 1 year, 120 patients were included, mainly male (59%) with a median age of 68 [57–77]. The median SOFA score and SAPS II were 6 [4–9] and 47 [37–63], respectively. The main indications for tracheal intubation were hypoxemia (51%), hypercapnia (13%), and coma (29%). In addition, 48% of patients had sepsis and 16% septic shock. Fifty-one (42%) patients develop PIHI. Univariate analysis identified several baseline factors associated with PIHI, including norepinephrine prior to TI, sepsis, tachycardia, fever, higher SOFA and high SAPSII score, mottling score ≥ 3, high lactate level and prolonged knee CRT. By contrast, mean arterial pressure, baseline cardiac index, and ejection fraction were not different between PIHI and No-PIHI groups. After adjustment on potential confounders, the mottling score was associated with a higher risk for PIHI (adjusted OR: 1.84 [1.21–2.82] per 1 point increased;
p
= 0.005). Among both global haemodynamics and tissue perfusion parameters, baseline mottling score was the best predictor of PIHI (AUC: 0.72 (CI 95% [0.62–0.81]).
Conclusions
In non-selected critically ill patients requiring invasive mechanical ventilation, tissue hypoperfusion parameters, especially the mottling score, could be helpful to predict PIHI.</description><identifier>ISSN: 2110-5820</identifier><identifier>EISSN: 2110-5820</identifier><identifier>DOI: 10.1186/s13613-022-01043-3</identifier><identifier>PMID: 35843960</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Anesthesiology ; Biomarkers ; Critical Care Medicine ; Emergency Medicine ; Hemodynamic ; Hemodynamics ; Hypoxemia ; Intensive ; Intensive care ; Intubation ; Life Sciences ; Medicine ; Medicine & Public Health ; Mottling ; Outcome ; Sepsis ; Tissue perfusion ; Ventilation ; Ventilators</subject><ispartof>Annals of intensive care, 2022-07, Vol.12 (1), p.68-68, Article 68</ispartof><rights>The Author(s) 2022</rights><rights>The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c618t-bb00d92ea29d8af8824d2263d816cc52d88a5662497191feb5209fb290ec2c483</citedby><cites>FETCH-LOGICAL-c618t-bb00d92ea29d8af8824d2263d816cc52d88a5662497191feb5209fb290ec2c483</cites><orcidid>0000-0002-2955-0183 ; 0000-0002-7643-6770</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2690865878/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2690865878?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://hal.sorbonne-universite.fr/hal-03849932$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Dubée, Vincent</creatorcontrib><creatorcontrib>Hariri, Geoffroy</creatorcontrib><creatorcontrib>Joffre, Jérémie</creatorcontrib><creatorcontrib>Hagry, Julien</creatorcontrib><creatorcontrib>Raia, Lisa</creatorcontrib><creatorcontrib>Bonny, Vincent</creatorcontrib><creatorcontrib>Gabarre, Paul</creatorcontrib><creatorcontrib>Ehrminger, Sebastien</creatorcontrib><creatorcontrib>Bigé, Naike</creatorcontrib><creatorcontrib>Baudel, Jean-Luc</creatorcontrib><creatorcontrib>Guidet, Bertrand</creatorcontrib><creatorcontrib>Maury, Eric</creatorcontrib><creatorcontrib>Dumas, Guillaume</creatorcontrib><creatorcontrib>Ait-Oufella, Hafid</creatorcontrib><title>Peripheral tissue hypoperfusion predicts post intubation hemodynamic instability</title><title>Annals of intensive care</title><addtitle>Ann. Intensive Care</addtitle><description>Background
Tracheal intubation and invasive mechanical ventilation initiation is a procedure at high risk for arterial hypotension in intensive care unit. However, little is known about the relationship between pre-existing peripheral microvascular alteration and post-intubation hemodynamic instability (PIHI).
Methods
Prospective observational monocenter study conducted in an 18-bed medical ICU. Consecutive patients requiring tracheal intubation were eligible for the study. Global hemodynamic parameters (blood pressure, heart rate, cardiac function) and tissue perfusion parameters (arterial lactate, mottling score, capillary refill time [CRT], toe-to-room gradient temperature) were recorded before, 5 min and 2 h after tracheal intubation (TI). Post intubation hemodynamic instability (PIHI) was defined as any hemodynamic event requiring therapeutic intervention.
Results
During 1 year, 120 patients were included, mainly male (59%) with a median age of 68 [57–77]. The median SOFA score and SAPS II were 6 [4–9] and 47 [37–63], respectively. The main indications for tracheal intubation were hypoxemia (51%), hypercapnia (13%), and coma (29%). In addition, 48% of patients had sepsis and 16% septic shock. Fifty-one (42%) patients develop PIHI. Univariate analysis identified several baseline factors associated with PIHI, including norepinephrine prior to TI, sepsis, tachycardia, fever, higher SOFA and high SAPSII score, mottling score ≥ 3, high lactate level and prolonged knee CRT. By contrast, mean arterial pressure, baseline cardiac index, and ejection fraction were not different between PIHI and No-PIHI groups. After adjustment on potential confounders, the mottling score was associated with a higher risk for PIHI (adjusted OR: 1.84 [1.21–2.82] per 1 point increased;
p
= 0.005). Among both global haemodynamics and tissue perfusion parameters, baseline mottling score was the best predictor of PIHI (AUC: 0.72 (CI 95% [0.62–0.81]).
Conclusions
In non-selected critically ill patients requiring invasive mechanical ventilation, tissue hypoperfusion parameters, especially the mottling score, could be helpful to predict PIHI.</description><subject>Anesthesiology</subject><subject>Biomarkers</subject><subject>Critical Care Medicine</subject><subject>Emergency Medicine</subject><subject>Hemodynamic</subject><subject>Hemodynamics</subject><subject>Hypoxemia</subject><subject>Intensive</subject><subject>Intensive care</subject><subject>Intubation</subject><subject>Life Sciences</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Mottling</subject><subject>Outcome</subject><subject>Sepsis</subject><subject>Tissue perfusion</subject><subject>Ventilation</subject><subject>Ventilators</subject><issn>2110-5820</issn><issn>2110-5820</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp9kkFv1DAQhSMEolXpH-AUiQscAvY48doXpKoCWmkleoCz5TjjjVdJHGyn0v57nKYC2gO-2Hrz3ufRaIriLSUfKRX8U6SMU1YRgIpQUrOKvSjOgVJSNQLIy3_eZ8VljEeST0N2AOx1ccYaUTPJyXlxd4fBzT0GPZTJxbhg2Z9mP2OwS3R-KueAnTMplrOPqXRTWlqd1kKPo-9Okx6dyXJMunWDS6c3xSurh4iXj_dF8fPrlx_XN9X--7fb66t9ZTgVqWpbQjoJqEF2QlshoO4AOOsE5cY00AmhG86hljsqqcW2ASJtC5KgAVMLdlHcbtzO66Oagxt1OCmvnXoQfDgoHZIzAyoCFjltBTPa1qyRwu40txoocsNQrqzPG2te2hE7g1PK83gCfVqZXK8O_l5JEELWkAEfNkD_LHZztVerRpiopWRwT7P3_eNnwf9aMCY1umhwGPSEfokKuKQ1B05X67tn1qNfwpTHurqI4I3Yrd3D5jLBxxjQ_umAErXuitp2Jc8B1MOuKJZDbAvFbJ4OGP6i_5P6DQJRwDA</recordid><startdate>20220718</startdate><enddate>20220718</enddate><creator>Dubée, Vincent</creator><creator>Hariri, Geoffroy</creator><creator>Joffre, Jérémie</creator><creator>Hagry, Julien</creator><creator>Raia, Lisa</creator><creator>Bonny, Vincent</creator><creator>Gabarre, Paul</creator><creator>Ehrminger, Sebastien</creator><creator>Bigé, Naike</creator><creator>Baudel, Jean-Luc</creator><creator>Guidet, Bertrand</creator><creator>Maury, Eric</creator><creator>Dumas, Guillaume</creator><creator>Ait-Oufella, Hafid</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><general>SpringerOpen</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>1XC</scope><scope>VOOES</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-2955-0183</orcidid><orcidid>https://orcid.org/0000-0002-7643-6770</orcidid></search><sort><creationdate>20220718</creationdate><title>Peripheral tissue hypoperfusion predicts post intubation hemodynamic instability</title><author>Dubée, Vincent ; Hariri, Geoffroy ; Joffre, Jérémie ; Hagry, Julien ; Raia, Lisa ; Bonny, Vincent ; Gabarre, Paul ; Ehrminger, Sebastien ; Bigé, Naike ; Baudel, Jean-Luc ; Guidet, Bertrand ; Maury, Eric ; Dumas, Guillaume ; Ait-Oufella, Hafid</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c618t-bb00d92ea29d8af8824d2263d816cc52d88a5662497191feb5209fb290ec2c483</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Anesthesiology</topic><topic>Biomarkers</topic><topic>Critical Care Medicine</topic><topic>Emergency Medicine</topic><topic>Hemodynamic</topic><topic>Hemodynamics</topic><topic>Hypoxemia</topic><topic>Intensive</topic><topic>Intensive care</topic><topic>Intubation</topic><topic>Life Sciences</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Mottling</topic><topic>Outcome</topic><topic>Sepsis</topic><topic>Tissue perfusion</topic><topic>Ventilation</topic><topic>Ventilators</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dubée, Vincent</creatorcontrib><creatorcontrib>Hariri, Geoffroy</creatorcontrib><creatorcontrib>Joffre, Jérémie</creatorcontrib><creatorcontrib>Hagry, Julien</creatorcontrib><creatorcontrib>Raia, Lisa</creatorcontrib><creatorcontrib>Bonny, Vincent</creatorcontrib><creatorcontrib>Gabarre, Paul</creatorcontrib><creatorcontrib>Ehrminger, Sebastien</creatorcontrib><creatorcontrib>Bigé, Naike</creatorcontrib><creatorcontrib>Baudel, Jean-Luc</creatorcontrib><creatorcontrib>Guidet, Bertrand</creatorcontrib><creatorcontrib>Maury, Eric</creatorcontrib><creatorcontrib>Dumas, Guillaume</creatorcontrib><creatorcontrib>Ait-Oufella, Hafid</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Nursing and Allied Health Source</collection><collection>ProQuest Health and Medical</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)</collection><collection>ProQuest Central</collection><collection>British Nursing Database</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Nursing & Allied Health Premium</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>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Annals of intensive care</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dubée, Vincent</au><au>Hariri, Geoffroy</au><au>Joffre, Jérémie</au><au>Hagry, Julien</au><au>Raia, Lisa</au><au>Bonny, Vincent</au><au>Gabarre, Paul</au><au>Ehrminger, Sebastien</au><au>Bigé, Naike</au><au>Baudel, Jean-Luc</au><au>Guidet, Bertrand</au><au>Maury, Eric</au><au>Dumas, Guillaume</au><au>Ait-Oufella, Hafid</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Peripheral tissue hypoperfusion predicts post intubation hemodynamic instability</atitle><jtitle>Annals of intensive care</jtitle><stitle>Ann. Intensive Care</stitle><date>2022-07-18</date><risdate>2022</risdate><volume>12</volume><issue>1</issue><spage>68</spage><epage>68</epage><pages>68-68</pages><artnum>68</artnum><issn>2110-5820</issn><eissn>2110-5820</eissn><abstract>Background
Tracheal intubation and invasive mechanical ventilation initiation is a procedure at high risk for arterial hypotension in intensive care unit. However, little is known about the relationship between pre-existing peripheral microvascular alteration and post-intubation hemodynamic instability (PIHI).
Methods
Prospective observational monocenter study conducted in an 18-bed medical ICU. Consecutive patients requiring tracheal intubation were eligible for the study. Global hemodynamic parameters (blood pressure, heart rate, cardiac function) and tissue perfusion parameters (arterial lactate, mottling score, capillary refill time [CRT], toe-to-room gradient temperature) were recorded before, 5 min and 2 h after tracheal intubation (TI). Post intubation hemodynamic instability (PIHI) was defined as any hemodynamic event requiring therapeutic intervention.
Results
During 1 year, 120 patients were included, mainly male (59%) with a median age of 68 [57–77]. The median SOFA score and SAPS II were 6 [4–9] and 47 [37–63], respectively. The main indications for tracheal intubation were hypoxemia (51%), hypercapnia (13%), and coma (29%). In addition, 48% of patients had sepsis and 16% septic shock. Fifty-one (42%) patients develop PIHI. Univariate analysis identified several baseline factors associated with PIHI, including norepinephrine prior to TI, sepsis, tachycardia, fever, higher SOFA and high SAPSII score, mottling score ≥ 3, high lactate level and prolonged knee CRT. By contrast, mean arterial pressure, baseline cardiac index, and ejection fraction were not different between PIHI and No-PIHI groups. After adjustment on potential confounders, the mottling score was associated with a higher risk for PIHI (adjusted OR: 1.84 [1.21–2.82] per 1 point increased;
p
= 0.005). Among both global haemodynamics and tissue perfusion parameters, baseline mottling score was the best predictor of PIHI (AUC: 0.72 (CI 95% [0.62–0.81]).
Conclusions
In non-selected critically ill patients requiring invasive mechanical ventilation, tissue hypoperfusion parameters, especially the mottling score, could be helpful to predict PIHI.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>35843960</pmid><doi>10.1186/s13613-022-01043-3</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-2955-0183</orcidid><orcidid>https://orcid.org/0000-0002-7643-6770</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Anesthesiology Biomarkers Critical Care Medicine Emergency Medicine Hemodynamic Hemodynamics Hypoxemia Intensive Intensive care Intubation Life Sciences Medicine Medicine & Public Health Mottling Outcome Sepsis Tissue perfusion Ventilation Ventilators |
title | Peripheral tissue hypoperfusion predicts post intubation hemodynamic instability |
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