国家神经系统疾病临床医学研究中心数据管理与共享系统

发表杂志：Frontiers in Neurology

发表类型: Clinical Article

影响因子(IF): 4.003

PMID: 33551945 Pubmed原文链接 全文下载

Previous research has revealed a higher prevalence of Electrocardiographic abnormality amongst patients admitted with stroke, which has been associated with increased cardiovascular events, higher mortality rates, and poor prognosis. Electrocardiogram (ECG) changes and, particularly, QT interval traditionally has been considered a purely electrical disease. Recent reports have indicated mechanical abnormalities in patients with QT interval abnormality. Given Subjects with QT interval abnormality had a consistent reduction in both systolic and diastolic function compared with healthy controls, the effect of worsening hypoperfusion in the ischaemic zone is to be expected，hence a potential pathomechanism for adverse events.it is important to explore the predictive value of different Electrocardiographic parameters for the poor prognosis of patients with ischemic stroke or TIA．

We collected clinical Electrocardiographic parameters during hospitalization，baseline information，outcomes and so on during the study．Follow-up times were baseline，3-month，and 1-year．To explore the relationship between Electrocardiographic parameters and disability and fatality, univariate and multivariable generalized linear models were fitted. In order to obtain relative risk (RR), which is the appropriate measure for a prospective study, a generalized linear model with binomial distribution and log-link function was employed. Both unadjusted RRs and adjusted RRs were computed and reported with their corresponding 95% CIs. Predictive model was fitted separately for disability and fatality using backward selection with removal of P value set at 0.20. Goodness of fit of the final model was assessed using residual analysis and Hosmer-Lemeshow test. To assess the predictive power of the fitted model, cross-validation was performed and area under the receiver operating characteristic curve (AUC) was estimated with its 95% CI.