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Assessment of left ventricular systolic function in type 2 diabetes patients with renal insufficiency by aCMQ technique
Received date: 2024-09-07
Online published: 2025-02-19
Objective To evaluate the left ventricular systolic function of patients with type 2 diabetes mellitus (T2DM) combined with renal insufficiency (CKD) by applying automated myocardial motion quantification (aCMQ) and to investigate its correlation with clinical biochemical indexes. Methods 80 patients with T2DM were enrolled, divided into DM group (without CKD, n = 40) and DN group (with CKD, n = 40), and 40 healthy volunteers were selected as the control group. The general clinical data of all subjects were recorded, and routine echocardiography and aCMQ were performed to obtain routine ultrasonographic measurements and aCMQ-related parameters. Results Comparison of aCMQ-related parameters: The differences in LV global longitudinal strain (LVGLS), LV apical 2-chamber longitudinal strain (LVAP2LS), LV apical 3-chamber longitudinal strain (LVAP3LS), and LV apical 4-chamber longitudinal strain (LVAP4LS) among the three groups were all statistically significant (P < 0.05). The differences in LV global circumferential strain (LVGCS) between the DN group and the other two groups were statistically significant (P < 0.05). The differences in LV short-axis basal segment cyclic strain (LVSAXBCS), LV short-axis middle segment cyclic strain (LVSAXMCS), and LV short-axis apical segment cyclic strain (LVSAXACS) were not statistically significant (P > 0.05). LV strain was negatively correlated with Hs- CRP, GA, HbA1c, creatinine, urea, and uric acid, and positively correlated with eGFR. Correlation. High-sensitivity C-reactive protein (Hs-CRP), glycated albumin (GA) and eGFR showed good correlation with LV strain parameters. Conclusion The aCMQ technique can detect the deterioration of left ventricular function in patients with type 2 diabetes mellitus combined with renal insufficiency at an early stage, and the correlation between left ventricular strain parameters and hs-CRP, GA and eGFR can help to better assess their cardiac involvement.
Yan LI , Ziran JIN , Haotian SUN , Xuan LIU , Jing. GAO . Assessment of left ventricular systolic function in type 2 diabetes patients with renal insufficiency by aCMQ technique[J]. The Journal of Practical Medicine, 2025 , 41(3) : 414 -421 . DOI: 10.3969/j.issn.1006-5725.2025.03.017
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