Kubota Takafumi, Kuroda Naoto
Department of Neurology, University Hospitals of Cleveland Medical Center, Case Western Reserve University, Cleveland, USA; Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Department of Pediatrics, Wayne State University, Detroit, USA; Department of Epileptology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Epilepsy Behav. 2021 Sep 20;124:108303. doi: 10.1016/j.yebeh.2021.108303.
We aimed to investigate the association between telemedicine and the incidence of status epilepticus (SE) in patients with epilepsy (PWE) during the coronavirus disease 2019 (COVID-19) pandemic using a large population database in the United States.
We performed a retrospective analysis of a private, cloud-based healthcare platform (Explorys Inc., Cleveland, Ohio, USA). We compared each of the previously reported risk factors for SE, such as child, male, and refractory epilepsy, using the chi-square test or Fisher's exact test in two groups: PWE with SE or without SE. We determined whether telemedicine could be a risk factor for the incidence of SE using multivariate binary logistic regression analysis incorporating statistically significant variables in the chi-square test or Fisher's exact test (p < 0.05). Statistical significance was set at p < 0.05.
We identified 1600 PWE with SE and 61,700 PWE without SE from May 2020 to May 2021. The proportion of children, males, refractory epilepsy, and telemedicine was higher in PWE with SE than in PWE without SE (children: 21.9% vs. 17.7%, p < 0.001; male: 52.5% vs. 48.2%, p = 0.001; refractory epilepsy: 20.6% vs. 8.2%, p < 0.001; telemedicine: 42.5% vs. 23.6%, p < 0.001). The multivariate binary logistic regression model identified four significant variables as follows: child (odds ratio [OR], 1.32; 95% confidence interval [CI], 1.17-1.50), male (OR, 1.19; 95% CI, 1.07-1.31), refractory epilepsy (OR, 2.44; 95% CI, 2.15-2.77), and telemedicine (OR, 2.29; 95% CI, 2.07-2.54).
Telemedicine might be associated with an increased risk of SE in PWE during the COVID-19 pandemic.
我们旨在利用美国的一个大型人口数据库,调查2019年冠状病毒病(COVID-19)大流行期间远程医疗与癫痫患者(PWE)癫痫持续状态(SE)发病率之间的关联。
我们对一个基于云的私人医疗保健平台(美国俄亥俄州克利夫兰市的Explorys公司)进行了回顾性分析。我们使用卡方检验或费舍尔精确检验,在两组中比较了之前报道的SE的每个风险因素,如儿童、男性和难治性癫痫:患有SE的PWE和未患有SE的PWE。我们使用多变量二元逻辑回归分析,纳入卡方检验或费舍尔精确检验中具有统计学意义的变量(p<0.05),以确定远程医疗是否可能是SE发病率的一个风险因素。统计学显著性设定为p<0.05。
我们在2020年5月至2021年5月期间确定了1600例患有SE的PWE和61700例未患有SE的PWE。患有SE的PWE中儿童、男性、难治性癫痫和远程医疗的比例高于未患有SE的PWE(儿童:21.9%对17.7%,p<0.001;男性:52.5%对48.2%,p=0.001;难治性癫痫:20.6%对8.2%,p<0.001;远程医疗:42.5%对23.6%,p<0.001)。多变量二元逻辑回归模型确定了四个显著变量如下:儿童(比值比[OR],1.32;95%置信区间[CI],1.17-1.50)、男性(OR,1.19;95%CI,1.07-1.31)、难治性癫痫(OR,2.44;95%CI,2.15-2.77)和远程医疗(OR,2.29;95%CI,2.07-2.54)。
在COVID-19大流行期间,远程医疗可能与PWE中SE风险增加有关。