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Valvular heart disease (VHD) is a common organic heart disease, and its incidence gradually increases with age. With the cross-integration of artificial intelligence and medical field, artificial intelligence algorithm models have become effective tools for identifying a variety of heart diseases. Artificial intelligence-enabled ECG (AI-ECG) diagnostic models can identify VHD patients by analyzing their ECG features, which may become an auxiliary tool for the identification of VHD in clinical practice. This paper summarizes the research progress of AI-ECG diagnostic models in the identification of VHD. [ABSTRACT FROM AUTHOR]

Objective: To compare the left ventricular configuration and systolic function between dilated cardiomyopathy (DCM) and mitral regurgitation (MI) based on three-dimensional echocardiography. Methods: A total of 100 patients with left ventricular (LV) dilatation who visited our hospital from January 2018 to July 2021 were collected, including 57 patients with DCM and 43 patients with MI. The LV size was roughly similar, DCM group (43±5) mm/m~2, MI group (42±5) mm/m~2. Another 50 healthy subjects during the same period were selected as the control group. All patients underwent conventional echocardiography and three-dimensional echocardiography, and the measurement indicators mainly included left ventricular size (LVID), left ventricular posterior wall thickness (PWT), left ventricular end-diastolic diameter (LVEDD), left ventricular end-diastolic interventricular Septal thickness (IVS), left ventricular end-diastolic volume (LVEDV), end-systolic volume (LVESV), relative wall thickness (RWT), LV mass index (LVMI), three-dimensional left ventricular ejection fraction (3D-LVEF), three-dimensional End-diastolic blood velocity (3D-EDV), 2D or 3D echocardiographic sphericity index (2D-SI/3D-SI). Results: The LVEDD in the DCM group and MI group was greater than that in the control group, and the difference was statistically significant (P<0.05). The incidence of cardiac function grade III/IV and heart failure was higher in the DCM group than in the MI group, and the difference was statistically significant (P<0.05). The LVEDD, LVEDD index, LVEDV, LVEDV index, 3D-EDV and 3D-EDV index of patients in DCM group and MI group were all higher than those in control group, and the difference was statistically significant (P<0.05); however, there were differences between DCM group and MI group. No statistical significance (P>0.05). The LV length, LV length index and LVMI of patients in the DCM group and MI group were higher than those in the control group, and the difference was statistically significant (P<0.05); and the MI group was higher than the DCM group, and the difference was statistically significant (P<0.05). . The LVESV, LVESV index, 2D-SI and 3D-SI of patients in DCM group and MI group were higher than those in the control group, and the difference was statistically significant (P<0.05); and the DCM group was higher than the MI group, and the difference was statistically significant (P<0.05). P<0.05). The 3D-LVEF and RWT in the DCM group were lower than those in the control group and MI group, and the difference was statistically significant (P<0. 05). ROC analysis showed that 3D-SI was superior to other variables in assessing LV remodeling in patients with LV enlargement, the area under the ROC curve for 3D-SI was 0.875, 95% CI was 0.816-0.920, and 3D-SI > 0.62 for DCM The specificity (81.66%) and sensitivity (92.09%) of differentiating LV configuration from MI were higher. 3D-LVEF and 3D-SI were linearly negatively correlated in both DCM and MI patients (r=-0.719, P=0.000; r=-0.682, P=0.000). The area under the ROC curve of 3D-SI for detecting heart failure in both DCM and MI patients was larger than that of 3D-LVEF, and the difference was statistically significant (P=0.000). CONCLUSIONS: Compared with MI patients, DCM patients had a more spherical LV geometry and worse systolic function despite roughly similar LV size. Systolic function was significantly associated with 3D-SI, which well described LV remodeling and may be a strong indicator of heart failure in patients with LV dilation. [ABSTRACT FROM AUTHOR]

Objective To summarize and evaluate the effcte of annuloplasty ring （Carpentier-Edwards PhysioⅡ） as an alternative surgical approach to treat mitral valve prolapse. Methods We analyzed 18 patients with mitral valve prolaspe and not closing properly who were treated in our department between June 2018 and July 2019. 8 patients with tricuspid insufficiency underwent tricuspid angioplasty. LA， LVEDD and LVEF were measured by transthoracic ultrasound before surgery， 6 months and 12 months after surgery. The changes in various values were observed so as to evaluate the effect of treatment．Results Among the 18 subjects， 8 were males at the age between （46 ±9） . There were 2 cases of Barlow， 4 cases of degenerative diseases and 12 cases of Rheumatic diseases. 8 cases had mitral regurgitation accompanied with tricuspid regurgitation. 18 carpentier-Edwards PhysioⅡ rings were used， and 8 Edwards MC3 rings were used. LA and LVEDD at 6 and 12 months after surgery were reducedCompared to before （ ＜0.05）， and LVEF did not change significantly （ ＞ 0.05） . Conclusion After the Carpentier-Edwards PhysioⅡ was inserted， the LA and LVEDD inner diameters were significantly reduced， and cardiac remodeling was relieved. From the perspective of mechanics and bionics，the shape of the double saddle ring fits better into the physiological state mitral valve ring. While treating mitral regurgitation， it can stabilize the normal anatomy of the heart. We will follow up and analyze the effect chronically. [ABSTRACT FROM AUTHOR]