Association between post-operative delirium and use of volatile anesthetics in the elderly: A real-world big data approach.

Aged [D000368] Delirium [D003693] General Anesthesia [D000768] Linear Models [D016014] Machine Learning [D000069550] Post anesthesia nursing [D016528] Volatile Anesthetics [D018685]

Journal

Journal of clinical anesthesia
ISSN: 1873-4529
Titre abrégé: J Clin Anesth
Pays: United States
ID NLM: 8812166

Informations de publication

Date de publication:
12 2022
Historique:
received: 08 06 2022
revised: 17 08 2022
accepted: 19 08 2022
pubmed: 10 9 2022
medline: 10 11 2022
entrez: 9 9 2022
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 36084424
pii: S0952-8180(22)00315-4
doi: 10.1016/j.jclinane.2022.110957
pii:
doi:

Substances chimiques

Anesthetics 0
Anesthetics, Intravenous 0

Types de publication

Observational Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

110957

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2022 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest Thomas Saller reports financial support provided by Munich Clinican Scientist Program, Faculty of Medicine, LMU Munich.

Auteurs

Thomas Saller (T)

Department of Anaesthesiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany; Scientific Commission on Gerontoanaesthesiology, German Association for Anaesthesiology and Intensive Care Medicine, Roritzer Str. 19, 90419 Nuremberg, Germany. Electronic address: tsaller@med.lmu.de.

Lena Hubig (L)

Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany.

Heidi Seibold (H)

Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany.

Zoé Schroeder (Z)

Department of Anaesthesiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany.

Baocheng Wang (B)

Department of Anaesthesiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany.

Philipp Groene (P)

Department of Anaesthesiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany.

Robert Perneczky (R)

Department of Psychiatry, University Hospital, LMU Munich, Nussbaumstr. 7, 80336 Munich, Germany; German Center for Neurodegenerative Disorders (DZNE), Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Feodor-Lynen-Strasse 17, 81377 Munich, Germany; Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, Level 2 Faculty Building South Kensington Campus, London SW7 2AZ, UK; Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, 385A Glossop Road, Sheffield S10 2HQ, UK.

Vera von Dossow (V)

Scientific Commission on Gerontoanaesthesiology, German Association for Anaesthesiology and Intensive Care Medicine, Roritzer Str. 19, 90419 Nuremberg, Germany; Institute for Anesthesiology, Heart and Diabetes Center NRW, Ruhr University of Bochum, Georgstr. 11, 32545 Bad Oeynhausen, Germany.

Ludwig C Hinske (LC)

Department of Anaesthesiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany; Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany; Professorship for Data Management und Clinical Decision Support, Faculty of Medicine, Augsburg University, University Hospital, Stenglinstr. 2, 86156 Augsburg, Germany.

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Classifications MeSH