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.

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

Calandra S.;Iori D.;Navalesi P.
2021

Abstract

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.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11577/3379515
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