Objective The Logistic regression model was used to screen the effective parameters for early identification of FHCM asymptomatic mutant gene carriers (G+P-) in echocardiography. Methods A total of 56 first-degree relatives of FHCM patients were enrolledand and grouped according to the results of genetic testing

including 22 cases of G+P- and 34 cases of G-P-. Philips iE33 ultrasonic diagnostic instrument and TomTec offline analysis software were used to obtain relevant echocardiographic parameters. SPSS 22.0 was used to analyze the data

and the parameters with statistical significance in echocardiography parameters were set as independent variables for binary logistic regression analysis

and regression equations were established. Results Among many echocardiographic parameters

LVOT-VTI and GLS were independent risk factors for identifying G+P- and G-P-. The regression equation thus established is: Logistic (P)= 1.851+0.462X1+0.503X2 (X1: LVOT-VTI; X2: GLS). The AUC value of the regression model to predicted G+P- was 0.906 (95%CI: 0.830-0.983)

and the maximum value of Youden index was 0.644. When the cut-off value was Logistic (P)=0.247

its predictive sensitivity was 0.909

the specificity was 0.735

and the accuracy was 0.804. Conclusion Logistic regression analysis has good diagnostic performance in differentiating G+P- and G-P-. Echocardiographic parameters LVOT-VTI and GLS can be used as reliable indicators for differentiating G+P- and G-P-

which providing a new idea and method for G+P- patients to accurately predict by echocardiography.