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首页> 外文期刊>Indian Journal of Critical Care Medicine >Changes in B-type natriuretic peptide and related hemodynamic parameters following a fluid challenge in critically ill patients with severe sepsis or septic shock
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Changes in B-type natriuretic peptide and related hemodynamic parameters following a fluid challenge in critically ill patients with severe sepsis or septic shock

机译:重症脓毒症或败血性休克危重患者输液后B型利尿钠肽的变化及相关的血流动力学参数

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摘要

Context: Severe sepsis or septic shock. Aims: The aim of this study is to examine the effect of a fluid challenge on the B-type natriuretic peptide (BNP) and the hemodynamic state. Settings and Design: This observational study was conducted in an intensivist-led academic, mixed medical-surgical Intensive Care Unit. Subjects and Methods: Focused transthoracic echocardiogram, plasma BNP, and hemodynamic measurements were recorded at baseline and following a 500 ml fluid challenge in thirty patients. Independent predictors of the percentage (%) change in stroke volume (SV) were sought. Next, these independent predictors were assessed for a relationship with the percentage change in BNP. Statistical Analysis Used: Multiple linear regressions, Wilcoxon rank-sum test, t-test, and Pearson's correlation were used. Data analysis was carried out using SAS. The 5% significance level was used. Results: Using a multiple regression models, the percentage increase in SV was independently predicted by the percentage increase in mean arterial pressure, left ventricular end-diastolic volume/dimension (LVEDV/LVEDd), ejection fraction, and a decrease in Acute Physiology and Chronic Health Evaluation II score (P r = 0.4, P Conclusions: An increase in BNP soon after a fluid challenge may have some predictive utility of a large LVEDd, which in turn can be used to independently predict the SV response to a fluid challenge.
机译:背景:严重的败血症或败血性休克。目的:本研究的目的是检查体液刺激对B型利钠肽(BNP)和血液动力学状态的影响。设置和设计:这项观察性研究是在一个由专科医生领导的学术性混合外科手术加护病房中进行的。研究对象和方法:在基线时以及在30 ml患者进行500 ml液体刺激后,记录了经胸超声心动图,血浆BNP和血液动力学测量值。寻找中风量(SV)变化百分比(%)的独立预测因子。接下来,评估这些独立的预测因素与BNP百分比变化的关系。使用的统计分析:使用了多元线性回归,Wilcoxon秩和检验,t检验和Pearson相关。使用SAS进行数据分析。使用5%的显着性水平。结果:使用多元回归模型,通过平均动脉压,左心室舒张末期容积/体积(LVEDV / LVEDd),射血分数以及急性生理学和慢性病的减少的百分比的增加来独立预测SV的百分比增加健康评估II得分(P r = 0.4,P结论):体液激发后不久BNP的升高可能对大LVEDd具有一定的预测效用,而后者又可用于独立预测对体液激发的SV反应。

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