Association between post-operative delirium and use of volatile anesthetics in the elderly: A real-world big data approach
Early post-operative delirium is a common perioperative complication in the post anesthesia care unit. To date it is unknown if a specific anesthetic regime can affect the incidence of delirium after surgery. Our objective was to examine the effect of volatile anesthetics on post-operative delirium....
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description | Early post-operative delirium is a common perioperative complication in the post anesthesia care unit. To date it is unknown if a specific anesthetic regime can affect the incidence of delirium after surgery. Our objective was to examine the effect of volatile anesthetics on post-operative delirium.
Single Center Observational Study.
Post Anesthesia Care Units at a German tertiary medical center.
30,075 patients receiving general anesthesia for surgery.
Delirium was assessed with the Nursing Delirium Screening Scale at the end of the recovery period. Subgroup-specific effects of volatile anesthetics on post-operative delirium were estimated using generalized-linear-model trees with inverse probability of treatment weighting. We further assessed the age-specific effect of volatiles using logistic regression models.
Out of 30,075 records, 956 patients (3.2%) developed delirium in the post anesthesia care unit. On average, patients who developed delirium were older than patients without delirium. We found volatile anesthetics to increase the risk (Odds exp. (B) for delirium in the elderly 1.8-fold compared to total intravenous anesthesia. Odds increases with unplanned surgery 3.0-fold. In the very old (87 years or older), the increase in delirium is 6.2-fold. This result was confirmed with internal validation and in a logistic regression model.
Our exploratory study indicates that early postoperative delirium is associated with the use of volatile anesthetics especially in the sub-cohort of patients aged 75 years and above. Further studies should include both volatile and intravenous anesthetics to find the ideal anesthetic in elderly patients.
•Early post-operative delirium is a common perioperative complication.•Though many risk factors are known, the ideal anesthetic regime is unknown.•In a big data approach, the association of volatiles with delirium was examined.•Use of volatile anesthetics in the very old is associated with delirium. |
doi_str_mv | 10.1016/j.jclinane.2022.110957 |
format | Article |
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Single Center Observational Study.
Post Anesthesia Care Units at a German tertiary medical center.
30,075 patients receiving general anesthesia for surgery.
Delirium was assessed with the Nursing Delirium Screening Scale at the end of the recovery period. Subgroup-specific effects of volatile anesthetics on post-operative delirium were estimated using generalized-linear-model trees with inverse probability of treatment weighting. We further assessed the age-specific effect of volatiles using logistic regression models.
Out of 30,075 records, 956 patients (3.2%) developed delirium in the post anesthesia care unit. On average, patients who developed delirium were older than patients without delirium. We found volatile anesthetics to increase the risk (Odds exp. (B) for delirium in the elderly 1.8-fold compared to total intravenous anesthesia. Odds increases with unplanned surgery 3.0-fold. In the very old (87 years or older), the increase in delirium is 6.2-fold. This result was confirmed with internal validation and in a logistic regression model.
Our exploratory study indicates that early postoperative delirium is associated with the use of volatile anesthetics especially in the sub-cohort of patients aged 75 years and above. Further studies should include both volatile and intravenous anesthetics to find the ideal anesthetic in elderly patients.
•Early post-operative delirium is a common perioperative complication.•Though many risk factors are known, the ideal anesthetic regime is unknown.•In a big data approach, the association of volatiles with delirium was examined.•Use of volatile anesthetics in the very old is associated with delirium.</description><identifier>ISSN: 0952-8180</identifier><identifier>EISSN: 1873-4529</identifier><identifier>DOI: 10.1016/j.jclinane.2022.110957</identifier><identifier>PMID: 36084424</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Age ; Aged ; Aged [D000368] ; Anesthesia ; Anesthesia, General - adverse effects ; Anesthetics ; Anesthetics, Intravenous ; Big Data ; Datasets ; Delirium ; Delirium - chemically induced ; Delirium - epidemiology ; Delirium [D003693] ; General anesthesia ; General Anesthesia [D000768] ; Generalized linear models ; Humans ; Incidence ; Intensive care ; Linear Models [D016014] ; Machine Learning [D000069550] ; Medical personnel ; Nurse specialists ; Nurses ; Older people ; Patients ; Post anesthesia nursing [D016528] ; Postoperative Complications - epidemiology ; Postoperative Complications - etiology ; Postoperative Complications - prevention & control ; Regional anesthesia ; Regression analysis ; Trees ; Volatile Anesthetics [D018685]</subject><ispartof>Journal of clinical anesthesia, 2022-12, Vol.83, p.110957, Article 110957</ispartof><rights>2022 Elsevier Inc.</rights><rights>Copyright © 2022 Elsevier Inc. All rights reserved.</rights><rights>2022. Elsevier Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c462t-11c9f1006f2a17a3dfaf5c04fd651206a0bdd22e9397ff995331821c9f7daef33</citedby><cites>FETCH-LOGICAL-c462t-11c9f1006f2a17a3dfaf5c04fd651206a0bdd22e9397ff995331821c9f7daef33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2732016050?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,45974,64362,64366,72216</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36084424$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Saller, Thomas</creatorcontrib><creatorcontrib>Hubig, Lena</creatorcontrib><creatorcontrib>Seibold, Heidi</creatorcontrib><creatorcontrib>Schroeder, Zoé</creatorcontrib><creatorcontrib>Wang, Baocheng</creatorcontrib><creatorcontrib>Groene, Philipp</creatorcontrib><creatorcontrib>Perneczky, Robert</creatorcontrib><creatorcontrib>von Dossow, Vera</creatorcontrib><creatorcontrib>Hinske, Ludwig C.</creatorcontrib><title>Association between post-operative delirium and use of volatile anesthetics in the elderly: A real-world big data approach</title><title>Journal of clinical anesthesia</title><addtitle>J Clin Anesth</addtitle><description>Early post-operative delirium is a common perioperative complication in the post anesthesia care unit. To date it is unknown if a specific anesthetic regime can affect the incidence of delirium after surgery. Our objective was to examine the effect of volatile anesthetics on post-operative delirium.
Single Center Observational Study.
Post Anesthesia Care Units at a German tertiary medical center.
30,075 patients receiving general anesthesia for surgery.
Delirium was assessed with the Nursing Delirium Screening Scale at the end of the recovery period. Subgroup-specific effects of volatile anesthetics on post-operative delirium were estimated using generalized-linear-model trees with inverse probability of treatment weighting. We further assessed the age-specific effect of volatiles using logistic regression models.
Out of 30,075 records, 956 patients (3.2%) developed delirium in the post anesthesia care unit. On average, patients who developed delirium were older than patients without delirium. We found volatile anesthetics to increase the risk (Odds exp. (B) for delirium in the elderly 1.8-fold compared to total intravenous anesthesia. Odds increases with unplanned surgery 3.0-fold. In the very old (87 years or older), the increase in delirium is 6.2-fold. This result was confirmed with internal validation and in a logistic regression model.
Our exploratory study indicates that early postoperative delirium is associated with the use of volatile anesthetics especially in the sub-cohort of patients aged 75 years and above. Further studies should include both volatile and intravenous anesthetics to find the ideal anesthetic in elderly patients.
•Early post-operative delirium is a common perioperative complication.•Though many risk factors are known, the ideal anesthetic regime is unknown.•In a big data approach, the association of volatiles with delirium was examined.•Use of volatile anesthetics in the very old is associated with delirium.</description><subject>Age</subject><subject>Aged</subject><subject>Aged [D000368]</subject><subject>Anesthesia</subject><subject>Anesthesia, General - adverse effects</subject><subject>Anesthetics</subject><subject>Anesthetics, Intravenous</subject><subject>Big Data</subject><subject>Datasets</subject><subject>Delirium</subject><subject>Delirium - chemically induced</subject><subject>Delirium - epidemiology</subject><subject>Delirium [D003693]</subject><subject>General anesthesia</subject><subject>General Anesthesia [D000768]</subject><subject>Generalized linear models</subject><subject>Humans</subject><subject>Incidence</subject><subject>Intensive care</subject><subject>Linear Models [D016014]</subject><subject>Machine Learning [D000069550]</subject><subject>Medical personnel</subject><subject>Nurse specialists</subject><subject>Nurses</subject><subject>Older people</subject><subject>Patients</subject><subject>Post anesthesia nursing [D016528]</subject><subject>Postoperative Complications - epidemiology</subject><subject>Postoperative Complications - etiology</subject><subject>Postoperative Complications - prevention & control</subject><subject>Regional anesthesia</subject><subject>Regression analysis</subject><subject>Trees</subject><subject>Volatile Anesthetics [D018685]</subject><issn>0952-8180</issn><issn>1873-4529</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFkEtvGyEUhVHUqHaS_gULqetxLjDPrmpF6UOK1E2yRhguCSM8TGHGVvLri-W426xA555zD3yErBisGbD6tl_32rtBDbjmwPmaMeiq5oIsWduIoqx494kss8SLlrWwIFcp9QCQB-wzWYga2rLk5ZK8bVIK2qnJhYFucTogDnQMaSrCiDHLe6QGvYtu3lE1GDonpMHSffB56DFrmKYXnJxO1A00Xyl6g9G_fqMbGlH54hCiN3TrnqlRk6JqHGNQ-uWGXFrlE355P6_J04_7x7tfxcOfn7_vNg-FLms-FYzpzjKA2nLFGiWMVbbSUFpTV4xDrWBrDOfYia6xtusqIVjLj6HGKLRCXJOvp7259u-cXyv7MMchV0reCJ5pQgXZVZ9cOoaUIlo5RrdT8VUykEfkspdn5PKIXJ6Q5-Dqff283aH5HzszzobvJwPmT-4dRpm0w0GjcRH1JE1wH3X8A0TZlus</recordid><startdate>202212</startdate><enddate>202212</enddate><creator>Saller, Thomas</creator><creator>Hubig, Lena</creator><creator>Seibold, Heidi</creator><creator>Schroeder, Zoé</creator><creator>Wang, Baocheng</creator><creator>Groene, Philipp</creator><creator>Perneczky, Robert</creator><creator>von Dossow, Vera</creator><creator>Hinske, Ludwig C.</creator><general>Elsevier Inc</general><general>Elsevier Limited</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>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</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>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope></search><sort><creationdate>202212</creationdate><title>Association between post-operative delirium and use of volatile anesthetics in the elderly: A real-world big data approach</title><author>Saller, Thomas ; Hubig, Lena ; Seibold, Heidi ; Schroeder, Zoé ; Wang, Baocheng ; Groene, Philipp ; Perneczky, Robert ; von Dossow, Vera ; Hinske, Ludwig C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c462t-11c9f1006f2a17a3dfaf5c04fd651206a0bdd22e9397ff995331821c9f7daef33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Age</topic><topic>Aged</topic><topic>Aged [D000368]</topic><topic>Anesthesia</topic><topic>Anesthesia, General - adverse effects</topic><topic>Anesthetics</topic><topic>Anesthetics, Intravenous</topic><topic>Big Data</topic><topic>Datasets</topic><topic>Delirium</topic><topic>Delirium - chemically induced</topic><topic>Delirium - epidemiology</topic><topic>Delirium [D003693]</topic><topic>General anesthesia</topic><topic>General Anesthesia [D000768]</topic><topic>Generalized linear models</topic><topic>Humans</topic><topic>Incidence</topic><topic>Intensive care</topic><topic>Linear Models [D016014]</topic><topic>Machine Learning [D000069550]</topic><topic>Medical personnel</topic><topic>Nurse specialists</topic><topic>Nurses</topic><topic>Older people</topic><topic>Patients</topic><topic>Post anesthesia nursing [D016528]</topic><topic>Postoperative Complications - epidemiology</topic><topic>Postoperative Complications - etiology</topic><topic>Postoperative Complications - prevention & control</topic><topic>Regional anesthesia</topic><topic>Regression analysis</topic><topic>Trees</topic><topic>Volatile Anesthetics [D018685]</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Saller, Thomas</creatorcontrib><creatorcontrib>Hubig, Lena</creatorcontrib><creatorcontrib>Seibold, Heidi</creatorcontrib><creatorcontrib>Schroeder, Zoé</creatorcontrib><creatorcontrib>Wang, Baocheng</creatorcontrib><creatorcontrib>Groene, Philipp</creatorcontrib><creatorcontrib>Perneczky, Robert</creatorcontrib><creatorcontrib>von Dossow, Vera</creatorcontrib><creatorcontrib>Hinske, Ludwig C.</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>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</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 Central Student</collection><collection>Research Library Prep</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</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>ProQuest Central Basic</collection><jtitle>Journal of clinical anesthesia</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Saller, Thomas</au><au>Hubig, Lena</au><au>Seibold, Heidi</au><au>Schroeder, Zoé</au><au>Wang, Baocheng</au><au>Groene, Philipp</au><au>Perneczky, Robert</au><au>von Dossow, Vera</au><au>Hinske, Ludwig C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association between post-operative delirium and use of volatile anesthetics in the elderly: A real-world big data approach</atitle><jtitle>Journal of clinical anesthesia</jtitle><addtitle>J Clin Anesth</addtitle><date>2022-12</date><risdate>2022</risdate><volume>83</volume><spage>110957</spage><pages>110957-</pages><artnum>110957</artnum><issn>0952-8180</issn><eissn>1873-4529</eissn><abstract>Early post-operative delirium is a common perioperative complication in the post anesthesia care unit. To date it is unknown if a specific anesthetic regime can affect the incidence of delirium after surgery. Our objective was to examine the effect of volatile anesthetics on post-operative delirium.
Single Center Observational Study.
Post Anesthesia Care Units at a German tertiary medical center.
30,075 patients receiving general anesthesia for surgery.
Delirium was assessed with the Nursing Delirium Screening Scale at the end of the recovery period. Subgroup-specific effects of volatile anesthetics on post-operative delirium were estimated using generalized-linear-model trees with inverse probability of treatment weighting. We further assessed the age-specific effect of volatiles using logistic regression models.
Out of 30,075 records, 956 patients (3.2%) developed delirium in the post anesthesia care unit. On average, patients who developed delirium were older than patients without delirium. We found volatile anesthetics to increase the risk (Odds exp. (B) for delirium in the elderly 1.8-fold compared to total intravenous anesthesia. Odds increases with unplanned surgery 3.0-fold. In the very old (87 years or older), the increase in delirium is 6.2-fold. This result was confirmed with internal validation and in a logistic regression model.
Our exploratory study indicates that early postoperative delirium is associated with the use of volatile anesthetics especially in the sub-cohort of patients aged 75 years and above. Further studies should include both volatile and intravenous anesthetics to find the ideal anesthetic in elderly patients.
•Early post-operative delirium is a common perioperative complication.•Though many risk factors are known, the ideal anesthetic regime is unknown.•In a big data approach, the association of volatiles with delirium was examined.•Use of volatile anesthetics in the very old is associated with delirium.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>36084424</pmid><doi>10.1016/j.jclinane.2022.110957</doi></addata></record> |
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source | MEDLINE; ScienceDirect Journals (5 years ago - present); ProQuest Central UK/Ireland |
subjects | Age Aged Aged [D000368] Anesthesia Anesthesia, General - adverse effects Anesthetics Anesthetics, Intravenous Big Data Datasets Delirium Delirium - chemically induced Delirium - epidemiology Delirium [D003693] General anesthesia General Anesthesia [D000768] Generalized linear models Humans Incidence Intensive care Linear Models [D016014] Machine Learning [D000069550] Medical personnel Nurse specialists Nurses Older people Patients Post anesthesia nursing [D016528] Postoperative Complications - epidemiology Postoperative Complications - etiology Postoperative Complications - prevention & control Regional anesthesia Regression analysis Trees Volatile Anesthetics [D018685] |
title | Association between post-operative delirium and use of volatile anesthetics in the elderly: A real-world big data approach |
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