Suppr超能文献

非传统脂质参数与缺血性脑卒中溶栓后出血性转化及临床结局的关系。

Association of Non-Traditional Lipid Parameters with Hemorrhagic Transformation and Clinical Outcome After Thrombolysis in Ischemic Stroke Patients.

机构信息

Department of Neurology, the First Hospital of Jilin University, Chang Chun, Jilin, China.

Neuroscience Center, Department of Neurology, the First Hospital of Jilin University, Chang Chun, Jilin, China, China.

出版信息

Curr Neurovasc Res. 2020;17(5):736-744. doi: 10.2174/1567202617999210101223129.

Abstract

OBJECTIVE

Recently, a few studies have shown that non-traditional lipid parameters are associated with the hemorrhagic transformation (HT) and the clinical outcome of ischemic stroke. However, the role of non-traditional lipid parameters in ischemic stroke patients treated with intravenous thrombolysis remains unclear. Thus, we aimed to assess the associations of non-traditional lipid parameters with HT and clinical outcome after thrombolysis in ischemic stroke patients.

METHODS

This study consecutively included 763 ischemic stroke patients treated with intravenous thrombolysis. Non-traditional lipid parameters included non-high-density lipoprotein cholesterol (non-HDL-C), total cholesterol to HDL-C ratio (TC/HDL-C), triglyceride to HDL-C ratio (TG/ HDL-C), and low-density lipoprotein cholesterol to HDL-C ratio (LDL-C/HDL-C). Receiver operating characteristic (ROC) curves and multivariate logistic regression analyses were used to investigate the associations between the four non-traditional lipid parameters and HT and poor outcome after thrombolysis.

RESULTS

Of 763 patients, 78 (10.2%) had HT and 281 (36.8%) had poor outcome. The ROC curves showed that the optimum cut-off points of the non-HDL-C, TC/HDL-C, TG/HDL-C, and LDL/HDL-C for predicting HT and poor outcome were 2.99 and 2.01, 4.05 and 3.66, 0.82 and 1.02, as well as 2.67 and 2.71, respectively. Multivariate logistic regression analyses showed that the TC/HDL-C <4.05 (adjusted odds ratio [OR]=1.727, 95% confidence interval [CI]: 1.008-2.960), TG/HDL-C <0.82 (adjusted OR=2.064, 95% CI: 1.241-3.432), and LDL/HDL-C <2.67 (adjusted OR=1.935, 95% CI: 1.070-3.501) were positively associated with the risk of HT, while the non-HDL-C <2.99 (adjusted OR=0.990, 95% CI: 0.583-1.680) was not related to the risk of HT. In addition, the non-HDL-C <2.01, TC/HDL-C <3.66, TG/HDL-C <1.02, and LDL/HDL-C <2.71 were associated with an increased risk of poor outcome, with adjusted ORs of 2.340 (95% CI: 1.150-4.764), 1.423 (95% CI: 1.025-1.977), 1.539 (95% CI: 1.102-2.151), and 1.608 (95% CI: 1.133-2.283).

CONCLUSION

Low TC/HDL-C, TG/HDL-C, and LDL/HDL-C, but not non-HDL-C, were associated with an increased risk of HT after thrombolysis. In addition, low non-HDL-C, TC/HDL-C, TG/HDL-C, and LDL/HDL-C were associated with an increased risk of poor outcome in ischemic stroke patients with intravenous thrombolysis.

摘要

目的

最近,有几项研究表明,非传统脂质参数与缺血性卒中的出血性转化(HT)和临床结局相关。然而,非传统脂质参数在接受静脉溶栓治疗的缺血性卒中患者中的作用仍不清楚。因此,我们旨在评估非传统脂质参数与缺血性卒中患者溶栓后 HT 和临床结局的相关性。

方法

本研究连续纳入 763 例接受静脉溶栓治疗的缺血性卒中患者。非传统脂质参数包括非高密度脂蛋白胆固醇(non-HDL-C)、总胆固醇/高密度脂蛋白胆固醇比值(TC/HDL-C)、甘油三酯/高密度脂蛋白胆固醇比值(TG/HDL-C)和低密度脂蛋白胆固醇/高密度脂蛋白胆固醇比值(LDL-C/HDL-C)。使用受试者工作特征(ROC)曲线和多变量逻辑回归分析来探讨四个非传统脂质参数与 HT 和溶栓后不良结局之间的关系。

结果

在 763 例患者中,78 例(10.2%)发生 HT,281 例(36.8%)发生不良结局。ROC 曲线显示,non-HDL-C、TC/HDL-C、TG/HDL-C 和 LDL/HDL-C 预测 HT 和不良结局的最佳截断点分别为 2.99 和 2.01、4.05 和 3.66、0.82 和 1.02 以及 2.67 和 2.71。多变量逻辑回归分析显示,TC/HDL-C<4.05(调整后的优势比[OR]=1.727,95%置信区间[CI]:1.008-2.960)、TG/HDL-C<0.82(调整后的 OR=2.064,95% CI:1.241-3.432)和 LDL/HDL-C<2.67(调整后的 OR=1.935,95% CI:1.070-3.501)与 HT 风险增加相关,而 non-HDL-C<2.99(调整后的 OR=0.990,95% CI:0.583-1.680)与 HT 风险无关。此外,non-HDL-C<2.01、TC/HDL-C<3.66、TG/HDL-C<1.02 和 LDL/HDL-C<2.71 与不良结局风险增加相关,调整后的 OR 分别为 2.340(95% CI:1.150-4.764)、1.423(95% CI:1.025-1.977)、1.539(95% CI:1.102-2.151)和 1.608(95% CI:1.133-2.283)。

结论

低 TC/HDL-C、TG/HDL-C 和 LDL/HDL-C 与溶栓后 HT 风险增加相关,而非 non-HDL-C。此外,低 non-HDL-C、TC/HDL-C、TG/HDL-C 和 LDL/HDL-C 与接受静脉溶栓治疗的缺血性卒中患者的不良结局风险增加相关。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验