Analysis of urgent/emergent conversions from monitored anesthesia care to general anesthesia with airway instrumentation.


Journal

BMC anesthesiology
ISSN: 1471-2253
Titre abrégé: BMC Anesthesiol
Pays: England
ID NLM: 100968535

Informations de publication

Date de publication:
29 06 2021
Historique:
received: 22 10 2020
accepted: 02 06 2021
entrez: 30 6 2021
pubmed: 1 7 2021
medline: 6 1 2022
Statut: epublish

Résumé

Monitored Anesthesia Care (MAC) is an anesthetic service involving the titration of sedatives/analgesics to achieve varying levels of sedation while avoiding general anesthesia (GA) and airway instrumentation. The goal of our study was to determine the overall incidence of conversion from MAC to general anesthesia with airway instrumentation and elucidate reasons and risk factors for conversion. In this retrospective observational study, all non-obstetric adult patients who received MAC from July 2002 to July 2015 at Mount Sinai Hospital were electronically screened for inclusion via a clinical database. Patient, procedure, anesthetic, and practitioner data were all collected and analyzed to generate descriptive analyses. Subsequent univariate and multivariate analyses were used to identify specific risk factors associated with conversion to GA. Overall, 0.50% (1097/219,061) of MAC cases were converted to GA. Approximately half of conversions were due to the patient's "intolerance" of MAC (with or without failed regional anesthesia), while the other half were due to physiologic derangements. Body mass index, male sex, American Society of Anesthesiologists Physical Status Classification, anesthesia team composition, and surgical specialty were all associated with risk of conversion to GA. This is one of the first and largest retrospective studies aimed at identifying reasons and risk factors associated with the conversion of MAC to GA. These findings may be used to help better anticipate or prevent these events.

Sections du résumé

BACKGROUND
Monitored Anesthesia Care (MAC) is an anesthetic service involving the titration of sedatives/analgesics to achieve varying levels of sedation while avoiding general anesthesia (GA) and airway instrumentation. The goal of our study was to determine the overall incidence of conversion from MAC to general anesthesia with airway instrumentation and elucidate reasons and risk factors for conversion.
METHODS
In this retrospective observational study, all non-obstetric adult patients who received MAC from July 2002 to July 2015 at Mount Sinai Hospital were electronically screened for inclusion via a clinical database. Patient, procedure, anesthetic, and practitioner data were all collected and analyzed to generate descriptive analyses. Subsequent univariate and multivariate analyses were used to identify specific risk factors associated with conversion to GA.
RESULTS
Overall, 0.50% (1097/219,061) of MAC cases were converted to GA. Approximately half of conversions were due to the patient's "intolerance" of MAC (with or without failed regional anesthesia), while the other half were due to physiologic derangements. Body mass index, male sex, American Society of Anesthesiologists Physical Status Classification, anesthesia team composition, and surgical specialty were all associated with risk of conversion to GA.
CONCLUSIONS
This is one of the first and largest retrospective studies aimed at identifying reasons and risk factors associated with the conversion of MAC to GA. These findings may be used to help better anticipate or prevent these events.

Identifiants

pubmed: 34187367
doi: 10.1186/s12871-021-01403-9
pii: 10.1186/s12871-021-01403-9
pmc: PMC8240303
doi:

Types de publication

Journal Article Observational Study Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

183

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Auteurs

Sang Kim (S)

Department of Anesthesiology, Critical Care & Pain Management - Hospital for Special Surgery, New York, NY, 10021, USA. kimsa@hss.edu.

Brian A Chang (BA)

Department of Anesthesiology, New York Presbyterian, Columbia University Irving Medical Center, New York, USA.

Amreen Rahman (A)

Department of Anesthesiology, Perioperative and Pain Medicine- Icahn School of Medicine at Mount Sinai, New York, USA.

Hung-Mo Lin (HM)

Department of Anesthesiology, Perioperative and Pain Medicine- Icahn School of Medicine at Mount Sinai, New York, USA.

Samuel DeMaria (S)

Department of Anesthesiology, Perioperative and Pain Medicine- Icahn School of Medicine at Mount Sinai, New York, USA.

Jeron Zerillo (J)

Department of Anesthesiology, Perioperative and Pain Medicine- Icahn School of Medicine at Mount Sinai, New York, USA.

David B Wax (DB)

Department of Anesthesiology, Perioperative and Pain Medicine- Icahn School of Medicine at Mount Sinai, New York, USA.

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Classifications MeSH