Fumihiro Matano1, Takayuki Mizunari2, Keiko Yamada2, Shiro Kobayashi2, Yasuo Murai3, Akio Morita3. 1. Department of Neurosurgery, Chiba Hokusoh Hospital, Chiba, Japan. Electronic address: s00-078@nms.ac.jp. 2. Department of Neurosurgery, Chiba Hokusoh Hospital, Chiba, Japan. 3. Department of Neurological Surgery, Nippon Medical School, Chiba, Japan.
Abstract
BACKGROUND: Few reports of delirium-related risk factors have focused on environmental risk factors and clinical risk factors, such as white matter signal abnormalities on magnetic resonance imaging fluid attenuated inversion recovery images. METHODS: We prospectively enrolled 253 patients admitted to our neurosurgical center between December 2014 and June 2015 and analyzed 220 patients (100 male patients; mean age, 64.1 years; age range, 17-92 years). An Intensive Care Delirium Screening Checklist score ≥4 points indicated delirium. We evaluated patient factors consisting of baseline characteristics and related factors, such as white matter lesions (WMLs), as well as the surrounding environment. RESULTS: Delirium occurred in 29/220 cases (13.2%). Regarding baseline characteristics, there were significant statistical correlations between delirium and age (P = 0.0187), Hasegawa Dementia Scale-Revised score (P = 0.0022) on admission, and WMLs (P < 0.0001). WMLs were related to age (P < 0.0001) and atherosclerotic disease (P = 0.004). Regarding related factors, there were significant statistical correlations between delirium and stay in a neurosurgical care unit (P = 0.0245). Multivariate logistic regression analyses showed statistically significant correlations of delirium with WMLs (P < 0.0001) and surrounding patients with delirium (P = 0.026). CONCLUSIONS: WMLs in patients and the surrounding environment are risk factors for delirium in a neurosurgical center. To prevent delirium, clinicians must recognize risk factors, such as high-grade WMLs, and manage environmental factors.
BACKGROUND: Few reports of delirium-related risk factors have focused on environmental risk factors and clinical risk factors, such as white matter signal abnormalities on magnetic resonance imaging fluid attenuated inversion recovery images. METHODS: We prospectively enrolled 253 patients admitted to our neurosurgical center between December 2014 and June 2015 and analyzed 220 patients (100 male patients; mean age, 64.1 years; age range, 17-92 years). An Intensive Care Delirium Screening Checklist score ≥4 points indicated delirium. We evaluated patient factors consisting of baseline characteristics and related factors, such as white matter lesions (WMLs), as well as the surrounding environment. RESULTS:Delirium occurred in 29/220 cases (13.2%). Regarding baseline characteristics, there were significant statistical correlations between delirium and age (P = 0.0187), Hasegawa Dementia Scale-Revised score (P = 0.0022) on admission, and WMLs (P < 0.0001). WMLs were related to age (P < 0.0001) and atherosclerotic disease (P = 0.004). Regarding related factors, there were significant statistical correlations between delirium and stay in a neurosurgical care unit (P = 0.0245). Multivariate logistic regression analyses showed statistically significant correlations of delirium with WMLs (P < 0.0001) and surrounding patients with delirium (P = 0.026). CONCLUSIONS: WMLs in patients and the surrounding environment are risk factors for delirium in a neurosurgical center. To prevent delirium, clinicians must recognize risk factors, such as high-grade WMLs, and manage environmental factors.
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