The association of neuraxial versus general anesthesia with inpatient admission following arthroscopic knee surgery.


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:
Sep 2019
Historique:
received: 18 10 2018
revised: 24 01 2019
accepted: 29 01 2019
pubmed: 27 2 2019
medline: 3 3 2020
entrez: 27 2 2019
Statut: ppublish

Résumé

Arthroscopic knee procedures are increasingly being performed in an outpatient setting. Appropriate intraoperative anesthesia is vital to prevent complications such as unanticipated hospital admission. We examined differences in complications between general (GA) vs neuraxial anesthesia (NA) as the primary anesthetic for patients undergoing arthroscopic knee procedures. This was a retrospective cohort study. We queried the National Surgical Quality Improvement Program for arthroscopic knee procedures performed between 2007 and 2016. We compared postoperative complication rates between propensity-matched cohorts (NA vs GA). The anesthesia groups were matched based on age, race, BMI, gender, diabetes, smoking history, COPD, CHF, functional status, HTN, ASA class, steroid use, bleeding disorder history, and readmission status. Univariable and multivariable logistic regression were used to compare factors associated with inpatient admission - defined as hospital length of stay >1 day. A total of 57,494 patients were included - 55,257 GA and 2237 NA patients. Among the matched cohorts, NA patients were significantly more likely to be admitted to the hospital postoperatively (p < 0.001). Neuraxial anesthesia (OR 5.93, 95% CI 4.90-7.21) use was also significant in the final multivariable regression model for inpatient admission. Additional significant predictors for inpatient admission included history of bleeding disorder (OR 5.44, 95% CI 2.14-12.76), Asian race (OR 6.47, 95% CI 4.90-8.56), COPD (OR 3.10, 95% CI 1.94-4.82), diabetes (OR 1.90, 95% CI 1.43-2.49), and increased operation time (OR 3.01, 95% CI 2.69-3.37). NA was significantly associated with inpatient admission following knee arthroscopy. Further research should focus on examining the reason for this association and methods to reduce inpatient admission for patients undergoing arthroscopic knee procedures using neuraxial anesthesia.

Identifiants

pubmed: 30807886
pii: S0952-8180(18)31411-9
doi: 10.1016/j.jclinane.2019.01.045
pii:
doi:

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

145-150

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Auteurs

Jennifer A Padwal (JA)

School of Medicine, University of California, San Diego-9500 Gilman Drive, San Diego, CA 92093, United States of America. Electronic address: jpadwal@ucsd.edu.

Brittany N Burton (BN)

School of Medicine, University of California, San Diego-9500 Gilman Drive, San Diego, CA 92093, United States of America. Electronic address: bnburton@ucsd.edu.

Alfredo A Fiallo (AA)

Department of Anesthesiology, Division of Regional Anesthesia and Acute Pain, University of California, San Diego, UCSD Medical Cent Hillcrest, 200 W. Arbor Drive, San Diego, CA 92103-8770, United States of America. Electronic address: afiallo@ucsd.edu.

Matthew W Swisher (MW)

Department of Anesthesiology, Division of Regional Anesthesia and Acute Pain, University of California, San Diego, UCSD Medical Cent Hillcrest, 200 W. Arbor Drive, San Diego, CA 92103-8770, United States of America. Electronic address: mwswisher@ucsd.edu.

Rodney A Gabriel (RA)

Department of Anesthesiology, Division of Regional Anesthesia and Acute Pain, University of California, San Diego, UCSD Medical Cent Hillcrest, 200 W. Arbor Drive, San Diego, CA 92103-8770, United States of America; Department of Medicine, Division of Biomedical Informatics, University of California, San Diego, San Diego - 9500 Gilman Dr. MC 0728, La Jolla, CA 92093-0728, United States of America. Electronic address: ragabriel@ucsd.edu.

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Classifications MeSH