Brian W Hanak1, Brian P Walcott2, Brian V Nahed3, Alona Muzikansky4, Matthew K Mian3, William T Kimberly5, William T Curry3. 1. Department of Neurosurgery, Harborview Medical Center, University of Washington School of Medicine, Seattle, Washington, USA. 2. Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA. Electronic address: walcott.brian@mgh.harvard.edu. 3. Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA. 4. Biostatistics Unit, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA. 5. Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Abstract
OBJECTIVE: Commonly, patients undergoing craniotomy are admitted to an intensive care setting postoperatively to allow for close monitoring. We aim to determine the frequency with which patients who have undergone elective craniotomies require intensive care unit (ICU)-level interventions or experience significant complications during the postoperative period to identify a subset of patients for whom an alternative to ICU-level care may be appropriate. METHODS: Following Institutional Review Board approval, a prospective, consecutive cohort of adult patients undergoing elective craniotomy was established at the Massachusetts General Hospital between the dates of April 2010 and March 2011. Inclusion criteria were intradural operations requiring craniotomy performed on adults (18 years of age or older). Exclusion criteria were cases of an urgent or emergent nature, patients who remained intubated postoperatively, and patients who had a ventriculostomy drain in place at the conclusion of the case. RESULTS: Four hundred patients were analyzed. Univariate analysis revealed that patients with diabetes (P = 0.00047), those who required intraoperative blood product administration (P = 0.032), older patients (P < 0.0001), those with higher intraoperative blood losses (P = 0.041), and those who underwent longer surgical procedures (P = 0.021) were more likely to require ICU-level interventions or experience significant postoperative complications. Multivariate analysis only found diabetes (P = 0.0005) and age (P = 0.0091) to be predictive of a patient's need for postoperative ICU admission. CONCLUSIONS: Diabetes and older age predict the need for ICU-level intervention after elective craniotomy. Properly selected patients may not require postcraniotomy ICU monitoring. Further study of resource utilization is necessary to validate these preliminary findings, particularly in different hospital types.
OBJECTIVE: Commonly, patients undergoing craniotomy are admitted to an intensive care setting postoperatively to allow for close monitoring. We aim to determine the frequency with which patients who have undergone elective craniotomies require intensive care unit (ICU)-level interventions or experience significant complications during the postoperative period to identify a subset of patients for whom an alternative to ICU-level care may be appropriate. METHODS: Following Institutional Review Board approval, a prospective, consecutive cohort of adult patients undergoing elective craniotomy was established at the Massachusetts General Hospital between the dates of April 2010 and March 2011. Inclusion criteria were intradural operations requiring craniotomy performed on adults (18 years of age or older). Exclusion criteria were cases of an urgent or emergent nature, patients who remained intubated postoperatively, and patients who had a ventriculostomy drain in place at the conclusion of the case. RESULTS: Four hundred patients were analyzed. Univariate analysis revealed that patients with diabetes (P = 0.00047), those who required intraoperative blood product administration (P = 0.032), older patients (P < 0.0001), those with higher intraoperative blood losses (P = 0.041), and those who underwent longer surgical procedures (P = 0.021) were more likely to require ICU-level interventions or experience significant postoperative complications. Multivariate analysis only found diabetes (P = 0.0005) and age (P = 0.0091) to be predictive of a patient's need for postoperative ICU admission. CONCLUSIONS:Diabetes and older age predict the need for ICU-level intervention after elective craniotomy. Properly selected patients may not require postcraniotomy ICU monitoring. Further study of resource utilization is necessary to validate these preliminary findings, particularly in different hospital types.
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