[1]王琛,刘薇薇,陈国芳,等.急性脑出血合并高血压病患者90 d预后相关危险因素分析[J].卒中与神经疾病杂志,2017,24(03):204-207.[doi:10.3969/j.issn.1007-0478.2017.03.009]
 Wang Chen,Liu Weiwei,Chen Guofang,et al.The analysis of related risk factors of 90-day clinical outcomes in cerebral hemorrhage patients with hypertension[J].Stroke and Nervous Diseases,2017,24(03):204-207.[doi:10.3969/j.issn.1007-0478.2017.03.009]
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急性脑出血合并高血压病患者90 d预后相关危险因素分析()
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《卒中与神经疾病》杂志[ISSN:1007-0478/CN:42-1402/R]

卷:
第24卷
期数:
2017年03期
页码:
204-207
栏目:
论 著
出版日期:
2017-06-26

文章信息/Info

Title:
The analysis of related risk factors of 90-day clinical outcomes in cerebral hemorrhage patients with hypertension
文章编号:
1007-0478(2017)03-0204-04
作者:
王琛刘薇薇陈国芳周生奎平蕾刘雷婧张冬梅
221009 江苏徐州市中心医院(东南大学附属徐州医院、徐州医科大学徐州临床学院、南京中医药大学附属徐州中心医院)神经内科[王琛 刘薇薇 陈国芳(通信作者)周生奎 平蕾 刘雷婧 张冬梅]
Author(s):
Wang Chen Liu Weiwei Chen Guofang et al.
Department of Neurology, Xuzhou Central Hospital, Xuzhou, Jiangsu 221009
关键词:
脑出血 危险因素 血压 血压波动性
Keywords:
Intracerebral hemorrhage Risk factors Blood pressure Blood pressure variability
分类号:
R743.34
DOI:
10.3969/j.issn.1007-0478.2017.03.009
摘要:
目的 探讨急性脑出血患者90 d临床预后的相关危险因素,并分析脑出血最初24 h血压变异性与预后的关系。方法 选取徐州市中心医院神经内科2013年10月~2016年1月收治6 h内入院的高血压性脑出血患者124例。用mRS(modified Rankin Scale)量表表示患者90 d临床预后,0~1分判定预后良好组及2~6分为预后不良组,分别记录入院后24 h内不同时间段的的收缩压和舒张压(32次血压值),用血压标准差(SD)、变异系数(CV)及最大-最小差值(Max-Min)来表示血压波动性(BPV)。用多因素logistic回归分析血压波动性与患者90 d临床预后的关系。结果(1)2组基线水平(年龄、性别、血肿体积、入院神经功能评分如GCS,NIHSS)无明显差异(P>0.05),2组血压波动性有明显差异(P<0.05);(2)spearman相关分析显示收缩压的BPV(SD、CV、Max-Min)与90 d临床预后呈正相关,其相关系数分别为0.188,0.35,0.272,P均<0.05;(3)多因素Logisitic回归分析显示收缩压及舒张压的SD、CV、Max-Min与90 d临床预后有关,其中收缩压OR分别为5.12,3.477,5.12,P均<0.01; 舒张压OR分别为1.35,2.24,1.04,P均<0.05。结论 急性高血压性脑出血患者的最初24 h收缩压的血压波动性是影响90 d临床预后的重要因素,早期平稳降压有利于临床预后。
Abstract:
ObjectiveTo analyze the related risk factors of 90-day clinical outcomes in cerebral hemorrhage patients with hypertension and to evaluate the relation between blood pressure(BP)variability and the 90 days clinical outcome.Methods 124 acute spontaneous ICH patients were identified and enrolled in Xuzhou Central Hospital from October 2013 to 2016 January for within 6 hours from the onset of symptoms. The measurement of outcome was the 90 days functional status assessed by the modified Rankin Scale following a baseline severity-adjusted analysis.The primary outcome was death or major disability at 90th day(modified Rankin Scale score 2)and the secondary outcome was an ordinal shift in modified Rankin Scale scores at 90th day.BP measurements over the first 24 hours after admission were recorded(total 32), and standard deviation(SD), coefficient of variation(CV), maximum minimum difference(Max-Min)were determined to characterize both systolic and diastolic BP variability(BPV). Estimated associations between blood pressure variability and outcomes were analyzed by logistic and proportional odds regression models in this study.Results Among the 124 enrolled patients with ICH, there is a statistically significant difference in blood pressure variability of two groups(P<0.05).In the Spearman correlation analysis, only the systolic blood pressure of guideline-recommended group BPV(SD, CV, MAX-MIN)was positively related to clinical outcomes(r=0.188, 0.35, 0.272, P<0.05).A dose response relationship with a poor outcome was found for each measure of systolic BPV-adjusted odd ratios(ORs)for the highest third of SD,CV,Max-Min(OR=5.12,3.477,5.12,P<0.01). The strength of association with diastolic BPV turned out to be weaker and significant only for the higher values(adjusted ORs for the highest thirds of SD,CV,Max-Min:1.35,2.24,1.04,P<0.05).Conclusion In patients, Baseline characteristics of patients with acute ICH were similar between groups,BPV was a strong predictor of 90 days clinical outcome and might represent a still neglected potential therapeutic target. The benefits of early treatment to reduce blood pressure might be improved by smooth and sustained control, and particularly by avoiding peaks in systolic blood pressure.

参考文献/References:

[1] Manning LS,Rothwell PM,Potter JF,et al.Prognostic significance of Short-Term blood pressure variability in acute stroke:systematic review.stroke; a journal of cerebral circulation[J].Stroke,2015,46(9):2482-2490.
[2] Chung JW,Kim N,Kang J,et al.Blood pressure variability and the development of early neurological deterioration following acute ischemic stroke[J].J Hypertens,2015,33(10):2099-2106.
[3] Kang J,Ko Y,Park JH,et al.Effect of blood pressure on 3-month functional outcome in the subacute stage of ischemic stroke[J].Neurology,2012,79(20):2018-2024.
[4] Buratti L,Cagnetti C,Balucani C,et al.Blood pressure variability and stroke outcome in patients with internal carotid artery occlusion[J].J Neurol Sci,2014,339(1/2):164-168.
[5] Feber J,Pressure LB.Assessment-from BP level to BP variability[J].Pediatr Nephrol,2016,31(7):1071-1079.
[6] Manning LS,Robinson TG.New insights into blood pressure control for intracerebral haemorrhage[J].Front Neurol Neurosci,2015,37(11):35-50.
[7] Banks JL,Marotta CA.Outcomes validity and reliability of the modified Rankin scale: implications for stroke clinical trials: a literature review and synthesis[J].Stroke,2007,38(3):1091-1096.
[8] 战明才.《多田氏法计算颅内血肿体积介绍[J].刑事技术,1998,(3):21.
[9] Hudak AM,Caesar RR,Frol AB,et al.Functional outcome scales in traumatic brain injury: a comparison of the Glasgow Outcome Scale(Extended)and the Functional Status Examination[J].J Neurotrauma,2005,22(11):1319-1326.
[10] Wityk RJ,Pessin MS,Kaplan RF,et al.Serial assessment of acute stroke using the NIH Stroke Scale[J].Stroke,1994,25(2):362-365.
[11] 何晓东,范鹏,陈巍,等.高血压脑出血术后血压波动与再出血的关系[J].中国现代药物应用,2015,17(17):83-84.
[12] Lattanzi S,Cagnetti C,Provinciali L,et al.Blood pressure variability and clinical outcome in patients with acute intracerebral hemorrhage[J].J Stroke Cerebrovasc Dis,2015,24(7):1493-1499.
[13] Asayama K,Wei FF,Liu YP,et al.Does blood pressure variability contribute to risk stratification? Methodological issues and a review of outcome studies based on home blood pressure[J].Hypertens Res,2015,38(2):97-101.
[14] Kékes E,Kiss I.Measurement of blood pressure variability and the clinical value[J].Orv Hetil,2014,155(42):1661-1672.
[15] Rothwell PM,Howard SC,Dolan E,et al.Effects of beta blockers and calcium-channel blockers on within-individual variability in blood pressure and risk of stroke[J].Lancet Neurol,2010,9(5):469-480.
[16] Kawai T,Ohishi M,Ito N,et al.Alteration of vascular function is an important factor in the correlation between visit-to-visit blood pressure variability and cardiovascular disease[J].J Hypertens,2013,31(7):1387-1395.
[17] Robles-Cabrera A,Michel-Chávez A,Callejas-Rojas RC,et al.The cardiovagal, cardiosympathetic and vasosympathetic arterial baroreflexes and the neural control of short-term blood pressure[J].Rev Neurol,2014,59(11):508-516.
[18] Manning L,Hirakawa Y,Arima H,et al.Blood pressure variability and outcome after acute intracerebral haemorrhage: a post-hoc analysis of INTERACT2, a randomised controlled trial[J].The Lancet Neurology,2014,13(4):364-373.
[19] Tanaka E,Koga M,Kobayashi J,et al.Blood pressure variability on antihypertensive therapy in acute intracerebral hemorrhage: the Stroke Acute Management with Urgent Risk-factor Assessment and Improvement-intracerebral hemorrhage study[J].Stroke,2014,45(8):2275-2279.
[20] Rodriguez-Luna D,Pi eiro S,Rubiera M,et al.Impact of blood pressure changes and course on hematoma growth in acute intracerebral hemorrhage[J].European Journal of Neurology,2013,20(9):1277-1283.
[21] Anderson CS,Qureshi AI.Implications of INTERACT2 and other clinical trials: blood pressure management in acute intracerebral hemorrhage[J].Stroke,2015,46(1):291-295.

备注/Memo

备注/Memo:
基金项目:江苏省徐州市科技计划项目(KC14SH027)
更新日期/Last Update: 2017-06-20