Zhuoyin Qiu1,2, Tingting Guo1,2, Xihua Sheng1,2, Ying Tang1,2, Huaping Du1,2. 1. Department of Neurology, Suzhou Ninth People's Hospital, Suzhou, People's Republic of China. 2. Department of Neurology, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou, People's Republic of China.
Abstract
Purpose: This study aims to investigate the prognostic value of the peripheral neutrophil-to-lymphocyte ratio (NLR) in patients with chronic internal carotid artery occlusion (CICAO) complicated by cerebral infarction. Patients and Methods: The clinical data of 99 CICAO patients complicated by cerebral infarction were retrospectively analyzed. The modified Rankin Scale (mRS) was used to assess their 3-month prognosis, and a multivariate logistic regression model was established to explore risk factors for poor prognosis. Results: Multivariate logistic regression analysis demonstrated that NLR (OR=2.114; 95% CI: 1.129-3.959) and baseline National Institute of Health Stroke Scale (NIHSS; OR=1.288, 95% CI: 1.053-1.574) score were risk factors of poor prognosis. The area under the receiver operator characteristic (ROC) curve of NLR in predicting the 3-month outcome after onset was 0.717 (95% CI: 0.606-0.828, P<0.000). The optimal cut-off value was 3.22, with a sensitivity of 0.743 and a specificity of 0.791. Conclusion: NLR is an independent risk factor for the poor prognosis of CICAO patients complicated by cerebral infarction and can serve as an indicator for clinical prognosis.
Purpose: This study aims to investigate the prognostic value of the peripheral neutrophil-to-lymphocyte ratio (NLR) in patients with chronic internal carotid artery occlusion (CICAO) complicated by cerebral infarction. Patients and Methods: The clinical data of 99 CICAO patients complicated by cerebral infarction were retrospectively analyzed. The modified Rankin Scale (mRS) was used to assess their 3-month prognosis, and a multivariate logistic regression model was established to explore risk factors for poor prognosis. Results: Multivariate logistic regression analysis demonstrated that NLR (OR=2.114; 95% CI: 1.129-3.959) and baseline National Institute of Health Stroke Scale (NIHSS; OR=1.288, 95% CI: 1.053-1.574) score were risk factors of poor prognosis. The area under the receiver operator characteristic (ROC) curve of NLR in predicting the 3-month outcome after onset was 0.717 (95% CI: 0.606-0.828, P<0.000). The optimal cut-off value was 3.22, with a sensitivity of 0.743 and a specificity of 0.791. Conclusion: NLR is an independent risk factor for the poor prognosis of CICAO patients complicated by cerebral infarction and can serve as an indicator for clinical prognosis.
Authors: Alexander M Kollikowski; Michael K Schuhmann; Bernhard Nieswandt; Wolfgang Müllges; Guido Stoll; Mirko Pham Journal: Ann Neurol Date: 2020-01-16 Impact factor: 10.422
Authors: María Santamaría-Cadavid; Emilio Rodríguez-Castro; Manuel Rodríguez-Yáñez; Susana Arias-Rivas; Iria López-Dequidt; María Pérez-Mato; Manuel Rodríguez-Pérez; Ignacio López-Loureiro; Pablo Hervella; Francisco Campos; José Castillo; Ramón Iglesias-Rey; Tomás Sobrino Journal: BMC Neurol Date: 2020-02-28 Impact factor: 2.474