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用于定位旁路的基线心电图特征的新统计评估

A new statistical appraisal of baseline ECG features for localization of accessory pathways.

作者信息

Fitzpatrick A P, Lesh M D

机构信息

Department of Medicine, CVRI, Moffitt Hospital, University of California, San Francisco 94143.

出版信息

J Electrocardiol. 1993;26 Suppl:220-6.

PMID:8189129
Abstract

In order to develop a better approach to accessory pathway localization, the authors analyzed 18 separate electrocardiographic characteristics in 93 consecutive patients. All patients had successful radiofrequency catheter ablation of a single accessory pathway causing preexcitation, prolonging QRS duration to > 100 ms, with 56 pathways ablated on the right side of the heart and 37 ablated on the left side. Eight individual locations were specified at the time of ablation, five right sided and three left sided. Initially, a simple statistical approach was used, with group mean statistical comparison for both delta-wave frontal axis and QRS horizontal transition lead being compared between adjacent locations by Student's t-test. Overlap between individual values was assessed by calculating the percentage of total pathway numbers in each of the two adjacent locations being compared that lay within an arc of 2 SDs in the direction of the location being compared. The statistical significance of all 18 variables was tested using univariate analysis and oneway analysis of variance for continuous variables and the chi-square test for categorical data. Post hoc tests performed were Scheffe's test for the analysis of variance and Bonferroni's test for the chi-square test. All electrocardiographic characteristics were then reanalyzed in a stepwise linear discriminant analysis using BMDP statistical software. A jack-knifed classification was made to assess the accuracy of classification. The statistical level for a characteristic to enter the model was set at P < .05 and the statistical level for a characteristic to be removed from the model was set at P > .10. Six linear discriminant analyses were performed: (1) right side versus left side, (2) right free wall versus right septum, (3) right anterior free wall versus right posterior free wall, (4) right anterior septum versus, right midseptum versus right posterior septum, (5) left anterior pathway versus left posterior pathways, and (6) left posteroseptal versus left posterior free walls.(ABSTRACT TRUNCATED AT 250 WORDS)

摘要

为了开发一种更好的辅助通路定位方法,作者分析了93例连续患者的18项独立心电图特征。所有患者均成功进行了射频导管消融术,消融单一导致预激的辅助通路,使QRS时限延长至>100 ms,其中56条通路在心脏右侧被消融,37条在左侧被消融。消融时指定了8个具体位置,右侧5个,左侧3个。最初,采用简单的统计方法,通过学生t检验对相邻位置之间的δ波额面电轴和QRS水平移行导联进行组均值统计比较。通过计算两个相邻比较位置中位于被比较位置方向2个标准差弧度内的总通路数百分比来评估个体值之间的重叠情况。使用单变量分析和连续变量的单向方差分析以及分类数据的卡方检验对所有18个变量的统计学意义进行了检验。事后检验采用方差分析的谢费检验和卡方检验的邦费罗尼检验。然后使用BMDP统计软件在逐步线性判别分析中重新分析所有心电图特征。进行留一法分类以评估分类的准确性。特征进入模型的统计水平设定为P <.05,从模型中剔除特征的统计水平设定为P >.10。进行了六项线性判别分析:(1)右侧与左侧,(2)右游离壁与右间隔,(3)右前游离壁与右后游离壁,(4)右前间隔与右中间隔与右后间隔,(5)左前通路与左后通路,以及(6)左后间隔与左后游离壁。(摘要截短至250字)

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