Pandey Anil Kumar, Das Asim, Singwala Ashish K, Bhatt K N
Department of Physiology, G. S. L. Medical College & General Hospital, Rajahmundry.
Indian J Physiol Pharmacol. 2010 Apr-Jun;54(2):123-32.
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.
心律失常作为心源性猝死的原因仍然是一个重要的公共卫生问题。就植入式除颤器而言,有效治疗方法的可用性使得识别有风险的个体至关重要。这一过程中的关键步骤是使用非侵入性技术对患者进行筛查并识别出有风险的人。为此,正在探索使用信号平均心电图(SAECG)作为非侵入性技术来检测心室晚电位。该研究的目的是通过SAECG的阳性和阴性预测值,并与另一个机械决定因素射血分数(EF%)进行比较,对不同心脏病中包括危及生命的心律失常在内的未来心血管事件进行分层。该研究在2001年8月至2004年6月期间,从苏拉特新市民医院和政府医学院的门诊和住院病例中选取了152名年龄在25至75岁之间的受试者进行。使用我们自己的SAECG正常标准值,选取80名无任何重大急性/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。通过卡方检验和独立t检验对所得结果进行显著性分析。当我们分别基于SAECG和EF%对6个月随访研究中的心律失常事件进行比较时,我们发现SAECG的阴性预测值(99.1%)高于EF%的阴性预测值(93.6%)。然而,SAECG心律失常事件的阳性预测值(28.9%)低于EF%(42.9%)。当同时考虑SAECG和EF%这两个参数时,这些测试的阴性和阳性预测值都相当高(分别为100%和50%)。在对152名患者进行的这项研究中,我们发现就阳性和阴性预测值而言,SAECG和EF%共同是心律失常事件的准确预测指标,而单独的SAECG或EF%则不是。然而,与EF%相比,SAECG具有更高的阴性预测值。在本研究中,SAECG在风险分层方面表现良好,甚至优于EF%。SAECG和EF%共同(而非单独)可被视为对未来心血管心律失常事件进行分层的更好研究工具。