期刊文献+

首发缺血性卒中患者短期预后评价模型 被引量:8

The short-term prognosis evaluation model for the first ischemic cerebral stroke patients
下载PDF
导出
摘要 目的:探索首发缺血性卒中患者急性期神经功能缺损程度的影响因素,建立短期预后评价模型。方法:选择2014年9月至2015年12月在郑州大学第五附属医院住院的89例首发急性脑梗死患者,采用统一设计的问卷收集基本资料,美国国立卫生院神经功能缺损评分量表(NIHSS)评价神经功能缺损程度,改良Rankin量表(m RS)评价3个月后预后。结果 :轻、中、重3组在年龄等传统危险因素方面无差异;WBC等6种血液学指标与NIHSS评分(P<0.05)及预后评分(P<0.05)均相关;D-二聚体等6种血液学指标及基线NIHSS评分对预后有显著影响(OR=1.800、0.976、1.112、1.327、5.564、6.456、1.227);ROC曲线下面积为0.976,模型预测价值较好。结论:传统危险因素无差异的不同神经缺损程度的缺血性卒中患者中,D-二聚体等6种血液学指标及NIHSS评分对预后有显著影响,模型能较为准确地预测缺血性脑卒中的短期预后情况。 Objective To explore common risk factors of the first acute ischemic cerebral stroke patients′neurological deficits and build a short-term prognosis model. Methods 89 hospitalized patients with acute is-chemic cerebral stroke were chosen for study from September 2014 to December 2015 in the Fifth Affiliated Hos-pital of Zhengzhou University. Our study′s evaluation methods were using the unified questionnaires , the NIHSS score and the mRS scale. Results Traditional risk factors were no significant difference among the three groups (P 〉 0.05); 6 kinds of hematology indexes such as WBC count had significant difference in NIHSS score (P 〈0.05) and prognosis(P 〈 0.05); 6 kinds of hematology indexes such as D-D and the NIHSS score had a signifi-cant effect on prognosis (OR = 1.800, 0.976, 1.112, 1.327, 5.564, 6.456, 1.227); the area under ROC curve was 0.976, which proved the model had a good predictive value. Conclusion Traditional risk factors had no significant difference among the different neurological deficits groups; 6 kinds of hematology indexes such as D-D and NIHSS score on admission had a significant influence on prognosis; the model predicted the short-term prognosis of acute ischemic cerebral stroke more accurately.
出处 《实用医学杂志》 CAS 北大核心 2016年第19期3238-3241,共4页 The Journal of Practical Medicine
基金 郑州市科技发展项目(编号:2010SFXM347)
关键词 缺血性卒中 神经功能缺损 预后模型 Ischemic cerebral stroke Neurological deficits Prognosis model
  • 相关文献

参考文献16

  • 1JIANG G,LI W, WANG D, et al. Epidemiological transitionand distribution of stoke incidence in Tianjin, China, 1988-2010[J].Public Health, 2016,131 : 11-19.
  • 2李天,关世奎,武桂铃,辛振龙,蒋帅,杨阳.脑缺血的分子损伤机制及治疗研究进展[J].实用医学杂志,2015,31(17):2775-2777. 被引量:12
  • 3HUANG WY, WU G, LI JJ, et al. Early prediction of function-al outcome using dynamic contrast enhanced magnetic resonanceimaging in experimental stroke [J].Magn Reson Imaging,2016,34(7):1000-1007.
  • 4RAINER TH, LEUNG LY,CHAN CP, et al. Plasma miR-124-3p and miR-16 concentrations as prognostic markers in acutestroke [J].Clin Biochem, 2016,49(9) ;663-668.
  • 5PHAN TG, CUSSOLD B, LY J,et aJ. Stroke Severity and Co-morbidity Index for Prediction of Mortality after Ischemic Strokefrom the Virtual International Stroke Trials Archive-Acute Collab-oration [J].J Stroke Cerebrovasc Dis, 2016,25(4) :835-842.
  • 6WALSH ME, HORGAN NF, WALSH CD, et al. Systematic re-view of risk prediction models for falls after stroke [J].J Epi-demiol Community Health, 2016,70(5) :513-519.
  • 7许晓敬,韩凝,贾阳娟,贾艳丽,李美锡,王建华.急性缺血性脑卒中3个月预后相关影响因素[J].河北医科大学学报,2015,36(9):996-999. 被引量:13
  • 8孙静,姚源蓉,程焱.脑梗死急性期相关生化指标与早期临床转归的关系[J].实用医学杂志,2014,30(3):393-396. 被引量:11
  • 9MAKIN SD, COOK FA, DENNIS MS, et al. Cerebral smallvessel disease and renal function : systematic review and meta-analysis [J].Cerebrovasc Dis, 2015,39( 1) :39-52.
  • 10MIWA K, TANAKA M, OKAZAKI S, et al. Chronic kidneydisease is associated with dementia independent of cerebralsmall-vessel disease [J].Neurology, 2014,82( 12) : 1051-1057.

二级参考文献14

共引文献38

同被引文献115

引证文献8

二级引证文献33

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部