Optimizing post anesthesia care unit admission after elective craniotomy for brain tumors: a cohort study.


Journal

Acta neurochirurgica
ISSN: 0942-0940
Titre abrégé: Acta Neurochir (Wien)
Pays: Austria
ID NLM: 0151000

Informations de publication

Date de publication:
03 2022
Historique:
received: 14 12 2020
accepted: 21 01 2021
pubmed: 1 2 2021
medline: 28 4 2022
entrez: 31 1 2021
Statut: ppublish

Résumé

Postoperative admission to intensive care unit (ICU) after craniotomy for brain tumor was the routine in the past years. However, there is little evidence supporting this dogma and doubts have been casted by many authors in the last years. Our aim was to identify risk factors for ICU admission after elective brain tumor surgery in order to propose an individualized admission to ICU tailored on patient needs. We conducted a retrospective cohort study including all patients undergoing elective surgery for brain tumor in a neurosurgical post anesthesia care unit of a university hospital over a period of 6 years. In order to identify and validate risk factors for ICU admission, we split the final cohort of patients in a training cohort (two/third of the cohort) and the validation cohort (one/third of the cohort) using a random sequence. Using univariate and multivariate logistic regression, we created a scoring system in the training cohort and tested it with the validation cohort. Moreover, we perform a sensitivity analysis on the overall population. A total of 420 patients were eligible for this study. ASA-PS, tumor volume, and surgery length entered the scoring system. Sensitivity analysis on the overall population for the scoring system had an AUC of 0.774 (95% CI 0.668-0.880, the best threshold at 12.5) CONCLUSIONS: We created a tool based on ASA-PS, length of surgery, and tumor volume to evaluate the risk for ICU admission after supratentorial tumor resection. Prospective studies are deemed necessary to validate our tool.

Sections du résumé

BACKGROUND
Postoperative admission to intensive care unit (ICU) after craniotomy for brain tumor was the routine in the past years. However, there is little evidence supporting this dogma and doubts have been casted by many authors in the last years. Our aim was to identify risk factors for ICU admission after elective brain tumor surgery in order to propose an individualized admission to ICU tailored on patient needs.
METHODS
We conducted a retrospective cohort study including all patients undergoing elective surgery for brain tumor in a neurosurgical post anesthesia care unit of a university hospital over a period of 6 years. In order to identify and validate risk factors for ICU admission, we split the final cohort of patients in a training cohort (two/third of the cohort) and the validation cohort (one/third of the cohort) using a random sequence. Using univariate and multivariate logistic regression, we created a scoring system in the training cohort and tested it with the validation cohort. Moreover, we perform a sensitivity analysis on the overall population.
RESULTS
A total of 420 patients were eligible for this study. ASA-PS, tumor volume, and surgery length entered the scoring system. Sensitivity analysis on the overall population for the scoring system had an AUC of 0.774 (95% CI 0.668-0.880, the best threshold at 12.5) CONCLUSIONS: We created a tool based on ASA-PS, length of surgery, and tumor volume to evaluate the risk for ICU admission after supratentorial tumor resection. Prospective studies are deemed necessary to validate our tool.

Identifiants

pubmed: 33517465
doi: 10.1007/s00701-021-04732-3
pii: 10.1007/s00701-021-04732-3
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

635-641

Informations de copyright

© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH, AT part of Springer Nature.

Références

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Auteurs

Marina Munari (M)

UOC Anaesthesia and Intensive Care Unit, University Hospital of Padua, via Giustiniani 2, 35128, Padua, Italy.

Alessandro De Cassai (A)

UOC Anaesthesia and Intensive Care Unit, University Hospital of Padua, via Giustiniani 2, 35128, Padua, Italy. alessandro.decassai@aopd.veneto.it.

Ludovica Sandei (L)

Department of Medicine-DIMED, University of Padua, Padua, Italy.

Christelle Correale (C)

Department of Medicine-DIMED, University of Padua, Padua, Italy.

Sabrina Calandra (S)

Department of Medicine-DIMED, University of Padua, Padua, Italy.

Davide Iori (D)

Department of Medicine-DIMED, University of Padua, Padua, Italy.

Federico Geraldini (F)

Department of Medicine-DIMED, University of Padua, Padua, Italy.

Alessandra Vitalba (A)

Department of Neurosurgery, University Hospital of Padua, Padua, Italy.

Marzia Grandis (M)

UOC Anaesthesia and Intensive Care Unit, University Hospital of Padua, via Giustiniani 2, 35128, Padua, Italy.

Franco Chioffi (F)

Department of Neurosurgery, University Hospital of Padua, Padua, Italy.

Paolo Navalesi (P)

UOC Anaesthesia and Intensive Care Unit, University Hospital of Padua, via Giustiniani 2, 35128, Padua, Italy.
Department of Medicine-DIMED, University of Padua, Padua, Italy.

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