Liu Yayuan, Lu Lizhi, Cheng Xuemin, Qin Qixiong, Wei Yunfei, Wang Dacheng, Li Haihua, Li Guohui, Liang Hongbin, Li Shengyu, Liang Zhijian
Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Province, People's Republic of China.
Department of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, 530007, Guangxi Province, People's Republic of China.
Neuropsychiatr Dis Treat. 2022 Mar 2;18:477-485. doi: 10.2147/NDT.S355878. eCollection 2022.
To investigate independent risk factors for esophageal cancer-related ischemic stroke (ECIS) and to use them to develop an index of ECIS to help clinicians identify patients at high risk for ECIS or to identify ECIS from other types of ischemic stroke.
We retrospectively enrolled active esophageal cancer (EC) patients with acute ischemic stroke (ECIS group) and patients with active EC without ischemic stroke (EC group), age- and sex-matched with ECIS patients, at seven centers from January 2011 to December 2020. Clinical data and laboratory and imaging findings were collected. Univariate and multivariate analyses were performed to analyze the independent risk factors for ECIS. Optimal cutoffs for sensitivities and specificities were obtained by Youden's J statistic following a receiver operator characteristic (ROC) analysis of each risk factor and the product of the risk factors.
A total of 91 ECIS patients and 91 EC patients were included. Elevated levels of carcinoembryonic antigen (CEA) [odds ratio (OR) = 0.105, 95% confidence interval (CI): 1.051-1.174, P < 0.001], D-dimer (DD) (OR = 0.003, 95% CI: 1.002-1.004, P < 0.001), and neutrophil count (OR = 0.857, 95% CI: 1.628-3.407, P < 0.001) were independent risk factors for ECIS. The area under the curve (AUC) of each independent risk factor and the product of the three independent risk factors were calculated by a receiver operator characteristic (ROC) curve, and the cutoff value from the largest AUC was called the ECIS index.
It was suggested that elevated plasma DD and CEA levels and increased neutrophils in EC patients may altogether contribute to the development of ECIS. The index of ECIS may facilitate clinicians to identify patients at high risk for ECIS or to identify ECIS from other etiologic types of ischemic stroke.
探讨食管癌相关缺血性卒中(ECIS)的独立危险因素,并利用这些因素制定ECIS指数,以帮助临床医生识别ECIS高危患者或从其他类型缺血性卒中中鉴别出ECIS。
我们回顾性纳入了2011年1月至2020年12月期间在7个中心的活动性食管癌(EC)合并急性缺血性卒中患者(ECIS组)以及年龄和性别与ECIS患者匹配的活动性EC但无缺血性卒中患者(EC组)。收集临床资料以及实验室和影像学检查结果。进行单因素和多因素分析以分析ECIS的独立危险因素。在对每个危险因素及危险因素乘积进行受试者工作特征(ROC)分析后,通过约登指数(Youden's J statistic)获得敏感性和特异性的最佳截断值。
共纳入91例ECIS患者和91例EC患者。癌胚抗原(CEA)水平升高[比值比(OR)=0.105,95%置信区间(CI):1.051 - 1.174,P < 0.001]、D - 二聚体(DD)(OR = 0.003,95% CI:1.002 - 1.004,P < 0.001)以及中性粒细胞计数(OR = 0.857,95% CI:1.628 - 3.407,P < 0.001)是ECIS的独立危险因素。通过ROC曲线计算每个独立危险因素以及三个独立危险因素乘积的曲线下面积(AUC),将最大AUC对应的截断值称为ECIS指数。
提示EC患者血浆DD和CEA水平升高以及中性粒细胞增多可能共同促成ECIS的发生。ECIS指数可能有助于临床医生识别ECIS高危患者或从其他病因类型的缺血性卒中中鉴别出ECIS。