Evaluation of automatic ECG analysis in pediatric arrhythmia diagnosis / 中国小儿急救医学

ABSTRACT

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.