Fan Zhang1, Chuanyuan Tao2, Xin Hu2, Juan Qian3, Xi Li2, Chao You2, Yan Jiang4, Mu Yang5. 1. Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China; Department of Pathology, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA. 2. Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China. 3. Department of Population and Quantitative Health, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA. 4. Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China; Department of Nursing, West China Hospital, Sichuan University, Chengdu, China. Electronic address: hxhljy2018@163.com. 5. Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China; Department of Neurology and Neurosurgery, McGill University, Montreal, Canada; Alan Edwards Centre for Research on Pain, McGill University, Montreal, Canada. Electronic address: mu.yang@mcgill.ca.
Abstract
BACKGROUND: The inflammatory response plays a vital role in the pathologic mechanism of intracerebral hemorrhage. It recently has been reported that neutrophil to lymphocyte ratio (NLR) could represent a novel composite inflammatory marker for predicting the prognosis of intracranial hemorrhage (ICH). However, in considering the effects of surgical evacuation on the initiation of inflammatory responses, the relationship between NLR and functional outcome of patients with ICH after surgical treatment is still controversial. Here, we aimed to assess the predictive value of admission NLR and other available laboratory parameters for 90-day outcome of patients with ICH undergoing neurosurgical treatment. METHODS: In total, 104 patients with acute ICH admitted to West China Hospital from October 2016 to January 2018 were retrospectively enrolled. Admission absolute neutrophil count, lymphocyte count, and white blood count were extracted from electronic medical records of patents with ICH. The associations between outcome and laboratory biomarkers were assessed by multivariable logistic regression analysis. The comparison of predictive power of independent predictors was evaluated by receiver operating characteristic curves. RESULTS: In total, 59 patients with ICH who underwent surgical treatment exhibited unfavorable outcomes, which was associated with greater admission NLR (odds ratio [OR] 0.692, 95% confidence interval [CI] 0.518-0.925, P = 0.01; OR 1.148, 95% CI 1.078-1.222, P < 0.01; OR 1.215, 95% CI 1.015-1.454, P = 0.03), lower Glasgow Coma Scale score, and larger hematoma. NLR showed the best predictive power by comparing with other laboratorial variables (area under the curve 0.668, 95% CI 0.569-0.757, P < 0.01) and also was found to linearly correlate with Glasgow Coma Scale score at admission, hematoma volume, absolute neutrophil count, absolute lymphocyte count, and hydrocephalus. Meanwhile, the best predictive cutoff point of 6.46 for NLR also was identified. CONCLUSIONS: Other than the association of prognosis of patients with ICH, NLR exhibited potential independent predictive ability for 90-day functional outcomes of patients with ICH after surgery.
BACKGROUND: The inflammatory response plays a vital role in the pathologic mechanism of intracerebral hemorrhage. It recently has been reported that neutrophil to lymphocyte ratio (NLR) could represent a novel composite inflammatory marker for predicting the prognosis of intracranial hemorrhage (ICH). However, in considering the effects of surgical evacuation on the initiation of inflammatory responses, the relationship between NLR and functional outcome of patients with ICH after surgical treatment is still controversial. Here, we aimed to assess the predictive value of admission NLR and other available laboratory parameters for 90-day outcome of patients with ICH undergoing neurosurgical treatment. METHODS: In total, 104 patients with acute ICH admitted to West China Hospital from October 2016 to January 2018 were retrospectively enrolled. Admission absolute neutrophil count, lymphocyte count, and white blood count were extracted from electronic medical records of patents with ICH. The associations between outcome and laboratory biomarkers were assessed by multivariable logistic regression analysis. The comparison of predictive power of independent predictors was evaluated by receiver operating characteristic curves. RESULTS: In total, 59 patients with ICH who underwent surgical treatment exhibited unfavorable outcomes, which was associated with greater admission NLR (odds ratio [OR] 0.692, 95% confidence interval [CI] 0.518-0.925, P = 0.01; OR 1.148, 95% CI 1.078-1.222, P < 0.01; OR 1.215, 95% CI 1.015-1.454, P = 0.03), lower Glasgow Coma Scale score, and larger hematoma. NLR showed the best predictive power by comparing with other laboratorial variables (area under the curve 0.668, 95% CI 0.569-0.757, P < 0.01) and also was found to linearly correlate with Glasgow Coma Scale score at admission, hematoma volume, absolute neutrophil count, absolute lymphocyte count, and hydrocephalus. Meanwhile, the best predictive cutoff point of 6.46 for NLR also was identified. CONCLUSIONS: Other than the association of prognosis of patients with ICH, NLR exhibited potential independent predictive ability for 90-day functional outcomes of patients with ICH after surgery.