Cardiac Denervation for Arrhythmia Treatment with Transesophageal Ultrasonic Strategy in Canine Models

Stellate ganglion (SG) modification has been investigated for arrhythmia treatment. In this study, transesophageal SG imaging and intervention were explored using a homemade 30F integrated focused ultrasonic catheter in healthy mongrel canines in vivo. Anatomic details of SGs were ultrasonically imaged and evaluated. SG had a heterogeneous echoic structure and characteristic profiles sketched by hyper-echoic outlines in an ultrasonogram. Left SGs in the experimental group were successfully ablated through the esophagus under ultrasonic guidance provided by the catheter itself. Two weeks after the ablation, the QT and QTc of the experimental group decreased compared with those of the sham group and at baseline (both p values < 0.001). Histologic examination revealed that left SGs were destroyed. No major complications were observed. This approach may be further explored as a method for ganglia remodeling evaluation and as a strategy of ganglia modification for arrhythmia and for other diseases.     

Impact of sampling rate on statistical significance for single subject fMRI connectivity analysis

A typical time series in functional magnetic resonance imaging (fMRI) exhibits autocorrelation, that is, the samples of the time series are dependent. In addition, temporal filtering, one of the crucial steps in preprocessing of functional magnetic resonance images, induces its own autocorrelation. While performing connectivity analysis in fMRI, the impact of the autocorrelation is largely ignored. Recently, autocorrelation has been addressed by variance correction approaches, which are sensitive to the sampling rate. In this article, we aim to investigate the impact of the sampling rate on the variance correction approaches. Toward this end, we first derived a generalized expression for the variance of the sample Pearson correlation coefficient (SPCC) in terms of the sampling rate and the filter cutoff frequency, in addition to the autocorrelation and cross‐covariance functions of the time series. Through simulations, we illustrated the importance of the variance correction for a fixed sampling rate. Using the real resting state fMRI data sets, we demonstrated that the data sets with higher sampling rates were more prone to false positives, in agreement with the existing empirical reports. We further demonstrated with single subject results that for the data sets with higher sampling rates, the variance correction strategy restored the integrity of true connectivity.     

新生儿肺部超声在早产儿肺部感染评价中的价值

目的 探讨新生儿肺部超声在早产儿肺部感染评价中的价值。 方法 选取肺部感染早产儿80例为观察组，无肺部感染的早产儿80例为对照组，均给予新生儿肺部超声检查，比较2组肺部超声评分、氧合指数、呼吸指数，比较观察组不同病情、预后患儿肺部超声评分、氧合指数、呼吸指数,分析肺部超声评分和氧合指数、呼吸指数的相关性。 结果 观察组肺部超声评分、氧合指数低于对照组，呼吸指数高于对照组，差异有统计学意义（P＜0.05）。观察组极危重患儿肺部超声评分、氧合指数低于危重和非危重患儿，呼吸指数高于危重和非危重患儿，危重患儿肺部超声评分、氧合指数低于非危重患儿，呼吸指数高于非危重患儿，差异有统计学意义（P＜0.05）。肺部超声评分与呼吸指数呈负相关（r=-0.455，P＜0.05），与氧合指数呈正相关（r=0.470，P＜0.05）。观察组死亡患儿肺部超声评分、氧合指数低于存活患儿，呼吸指数高于存活患儿，差异有统计学意义（P＜0.05）。肺部超声评分预测患儿预后的ROC曲线下面积为0.874，高于呼吸指数和氧合指数（P＜0.05），其截断值为20分时，敏感度和特异度为88.50%和75.00%。 结论 新生儿肺部超声在早产儿肺部感染评价中有较好的效果，值得临床使用。     

慢性心力衰竭护理结局分类评价表的构建研究

目的本研究以护理结局分类(NOC)为基础,筛选符合慢性心力衰竭患者的相关护理结局,由此构建具有专科专病特点的慢性心力衰竭患者护理结局评价表。方法成立研究核心小组,应用文献回顾法、专家函询法确定护理结局分类指标,并进行统计学分析,最终建立慢性心力衰竭护理结局分类评价表。结果通过研究,确定慢性心力衰竭护理结局中包含4个领域、8个一级指标、68个二级指标。4个领域分别是生理健康、功能健康、健康知识和行为、心理社会健康。一级指标中包含心脏泵血功能、活动耐力、社会支持、抑郁水平等。二级指标中包含心脏指数、血压、呼吸困难、情绪波动大、步行距离、步行速度等68个指标。统计学分析中:第一、二轮函询专家的积极系数分别为90%、100%,专家权威系数为0.895,专家意见协调程度(P<0.05)。结论本研究成功建立慢性心力衰竭护理结局分类评价表,有助于临床护士用于评价护理措施的有效性,也使其成为一种标准化语言,便于应用到护理电子信息系统中进行绩效测算等。但是本研究不足之处是未能将该研究进行临床实证,未能进一步确认其有效性。