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首页> 外文期刊>Indian journal of physiology and pharmacology >Prediction and stratification of the future cardiovascular arrhythmic events: signal averaged electrocardiography versus ejection fraction.
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Prediction and stratification of the future cardiovascular arrhythmic events: signal averaged electrocardiography versus ejection fraction.

机译：未来心血管心律失常事件的预测和分层：平均心电图与射血分数的关系。

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Cardiac arrhythmias as cause of sudden cardiac death remains an important public health problem. The availability of effective treatment in terms of the implantable defibrillator makes it critical to identify individuals at risk. An essential step in this process is the use of noninvasive techniques to screen patients and identify those at risk. The detection of ventricular late potential using the SAECG as a non-invasive technique is being explored for this purpose. The objective of the study was to stratify the future cardiovascular events including life threatening cardiac arrhythmias, in different cardiac diseases through positive and negative predictive values of SAECG and comparing with EF% another mechanical determinant. The study was conducted on 152 subjects selected from the OPD and admitted case of the New Civil Hospital and Govt. Medical College, Surat; between 25 to 75 years of age group, from August 2001 to June 2004. 80 healthy subjects free from any major acute/chronic illness were selected as a control using our own normative values for SAECG. The statistical analysis was performed using SPSS package. The results obtained were analyzed for significance by using Chi square and Independent 't' test. When we compared the cardiac arrhythmic events on 6 month follow-up study, based on SAECG and EF% separately we found that negative predictive value of SAECG was more (99.1%) than negative predictive value of EF% (93.6%). However positive predictive values for cardiac arrhythmic events of SAECG were less (28.9%) compare to EF% (42.9%). When both the parameters SAECG and EF% are considered together the negative as well as positive predictive values of these tests were quite high (100% and 50% respectively). In this study conducted on 152 patients we found that SAECG and EF% together were an accurate predictor of the cardiac arrhythmic events in terms of positive and negative predictive value while SAECG or EF% alone were not. However SAECG has got a more negative predictive value compare to EF%. In this study SAECG compared favorably or even better than EF% for risk stratification. SAECG and EF% together (and not separately) may be considered as a better investigational tool to stratify future cardiovascular arrhythmic events.
机译：导致心脏性猝死的心律不齐仍然是重要的公共卫生问题。就植入式除纤颤器而言，有效治疗的可用性使得识别有风险的个体至关重要。在此过程中，必不可少的步骤是使用无创技术来筛查患者并确定有风险的患者。为此，正在探索使用SAECG作为一种非侵入性技术来检测心室晚期电位。该研究的目的是通过SAECG的阳性和阴性预测值并与另一种机械决定因素EF％进行比较，对未来的心血管事件进行分层，包括威胁生命的心律失常。该研究针对选自OPD和New Civil Hospital and Govt的入院病例的152个受试者进行。苏拉特医学院;从2001年8月至2004年6月，年龄在25至75岁之间。使用我们自己的SAECG规范值，选择了80名没有任何严重急性/慢性疾病的健康受试者作为对照。使用SPSS软件包进行统计分析。通过使用卡方和独立't'检验分析获得的结果的显着性。当我们在6个月的随访研究中比较心律失常事件时，分别基于SAECG和EF％，我们发现SAECG的阴性预测值比EF％的阴性预测值（93.6％）高（99.1％）。然而，SAECG的心律失常事件的阳性预测值要比EF％（42.9％）小（28.9％）。当同时考虑参数SAECG和EF％时，这些测试的阴性和阳性预测值都很高（分别为100％和50％）。在针对152位患者的这项研究中，我们发现SAECG和EF％一起可以准确预测心律失常事件的阳性和阴性预测值，而单独使用SAECG或EF％则不能。但是SAECG的预测值比EF％负。在这项研究中，SAECG在风险分层方面优于或优于EF％。 SAECG和EF％一起（而不是分别）可以被认为是对未来心血管心律失常事件进行分层的更好的研究工具。

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