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Year : 2019  |  Volume : 20  |  Issue : 2  |  Page : 61-69

Risk factors affecting the length of intensive care unit stay after brain tumor surgery

1 Department of Anesthesiology and Reanimation, Develi Public Hospital, Develi, Kayseri, Turkey
2 Department of Computer Technologies, Develi Huseyin Sahin Vocational College, Kayseri University, Kayseri, Turkey

Correspondence Address:
Dr. Selda Kayaalti
Develi Public Hospital Camiicedit Neighborhood, Hastane Street No: 14, 38400, Develi, Kayseri
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/TheIAForum.TheIAForum_14_19

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Aims: In recent years, the number of surgical procedures performed in high-risk patients has increased, and the need for postoperative intensive care has also increased. In this study, it is aimed to identify the risk factors that can be used to estimate the need for intensive care stay of more than 1 day for patients with brain tumor resection. Methods: In this study, an open-accessible dataset was used, which included preoperative, perioperative, and intensive care follow-up data of 400 patients who were admitted to intensive care unit (ICU) after craniotomy due to brain tumor. The patients were divided into two groups according to the length of stay in the ICU. Patients who had less than a day stay were included in the short-term intensive care need (SICN) group and those staying more than 1 day were included in the long-term intensive care need (LICN). The effect of patients' data on ICU length of stay in ICU was investigated by logistic regression analysis. Results: Thirty-nine (9.75%) patients and 361 (90.25%) patients were assigned to the LICN group and SICN group, respectively. In the multivariate binary logistic regression model, the increase in total intravenous anesthesia (TIVA) and patient-controlled analgesia (PCA) applications decreases the patients' LICN likelihood while being intubated at ICU admission, need of mechanical ventilation (MV), postoperative hematoma formation, and increased duration of anesthesia increase the patients' LICN likelihood. Conclusions: The results of our study showed that the likelihood of patients' stay in ICU for more than 1 day could be estimated by such parameters as anesthesia duration, TIVA application, use of PCA device, being intubated at ICU admission, MV requirement, and postoperative hematoma formation.

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