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

Data Management And Sharing System of China National Clinical Research Center for Neurological Diseases

Pancreatic β-Cell Function and Prognosis of Nondiabetic Patients With Ischemic Stroke

第一作者:Yuesong Pan,Weiqi Chen

通讯作者:Yilong Wang,Yongjun Wang

diabetes mellitus female glucose registries stroke

基本信息

2017-09-27

已发表文章

发表杂志:Stroke

发表类型: Original Contributions

影响因子(IF): 7.914

PMID: 28954919 Pubmed原文链接 全文下载

主要研究背景及目的

Pancreatic β-cell dysfunction is an important factor in the development of type 2 diabetes mellitus. This study aimed to estimate the association between β-cell dysfunction and prognosis of nondiabetic patients with ischemic stroke.

方法

Patients with ischemic stroke without a history of diabetes mellitus in the ACROSS-China (Abnormal Glucose Regulation in Patients with Acute Stroke across China) registry were included. Disposition index was estimated as computer-based model of homeostatic model assessment 2-β%/homeostatic model assessment 2-insulin resistance based on fasting C-peptide level. Outcomes included stroke recurrence, all-cause death, and dependency (modified Rankin Scale, 3–5) at 12 months after onset.

结论

In this large-scale registry, β-cell dysfunction was associated with an increased risk of 12-month poor prognosis in nondiabetic patients with ischemic stroke.

主要结果

Among 1171 patients, 37.2% were women with a mean age of 62.4 years. At 12 months, 167 (14.8%) patients had recurrent stroke, 110 (9.4%) died, and 184 (16.0%) had a dependency. The first quartile of the disposition index was associated with an increased risk of stroke recurrence (adjusted hazard ratio, 3.57; 95% confidence interval, 2.13–5.99) and dependency (adjusted hazard ratio, 2.30; 95% confidence interval, 1.21–4.38); both the first and second quartiles of the disposition index were associated with an increased risk of death (adjusted hazard ratio, 5.09; 95% confidence interval, 2.51–10.33; adjusted hazard ratio, 2.42; 95% confidence interval, 1.17–5.03) compared with the fourth quartile. Using a multivariable regression model with restricted cubic spline, we observed an L-shaped association between the disposition index and the risk of each end point.