心电图自动分析在小儿心律失常诊断中的应用研究

目的 评价儿科心律失常心电图自动分析(CAI)的准确性,建立Logistic回归模型,分析小儿CAI失误发生的危险因素.方法 将1147例心律失常患儿分为心脏病组(HD)与非心脏病组(NHD),并对候选指标进行单因素分析,取其中有统计学意义的变量作Logistic回归分析.结果 小儿HD组与NHD组发生CAI失误率分别为24.9%与11.4%,两组间差异有显著性(P＜0.05).患儿年龄、基础疾病、CAI诊断条目数是CAI失误发生的危险因素.结论 小儿HD组与NHD组发生CAI失误的心律失常类型不同.积极针对危险因素提高误诊防范意识.同时改进自动分析技术有望降低CAI失误率.

Evaluation of automatic ECG analysis in pediatric arrhythmia diagnosis

Objective To investigate the accuracy of computer-assisted interpretation(CAI)in the diagnosis of pediatric critical arrhythmia,and to establish Logistic regression model to evaluate the main risk factors of CAI error.Methods 1147 cases of arrhythmia patients were divided into heart disease(HD)and nonheart disease group(NHD).Candidate risk factors were chosen,from which the vailables statistically significant were entered for logistic regression analysis.Results CAI error rate of HD group and NHD group were 24.9%and 11.4%,showing a significant difference(P＜0.05).Age,underlying diseases,the number of CAI diagnosis entries were the risk factors.Conclusion CAI error pattern was different among HD group and the NHD group.Higher awareness for CAI error risk factors and CAI technology improvement are critical for a lower CAI error rate.