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Relationship between Quantitative Parameters of Echocardiography and Vascular Endothelial Function in Patients with
Min Dai1, Yunle Wang1, Lijuan Peng2
1Department of Cardiology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, Jiangsu 214023, China.
Insights
Echocardiography parameters correlate with vascular endothelial function in chronic heart failure (CHF) patients. Combined echocardiography and NO/ET-1 measurements effectively predict major adverse cardiovascular events (MACE), aiding clinical decisions.
Area of Science:
- Cardiology
- Vascular Biology
- Medical Imaging
Background:
- Chronic heart failure (CHF) is associated with impaired vascular endothelial function.
- Echocardiography provides quantitative measures of cardiac structure and function.
- Predicting major adverse cardiovascular events (MACE) in CHF patients is crucial for management.
Purpose of the Study:
- To examine the relationship between echocardiographic parameters and endothelial function in CHF patients.
- To assess the predictive value of these parameters for short-term MACE.
Main Methods:
- Compared echocardiographic parameters (LVEF, FS, E/A) and endothelial function markers (NO/ET-1) between 86 CHF patients and 46 controls.
- Analyzed correlations between echocardiographic and endothelial function measures.
- Used logistic regression and ROC curves to identify risk factors and predict MACE.
Main Results:
- CHF patients showed lower LVEF, FS, and NO/ET-1, and higher E/A compared to controls (P < 0.05).
- LVEF and FS positively correlated with NO/ET-1, while E/A negatively correlated in CHF patients (P < 0.05).
- Decreased LVEF, FS, NO/ET-1, and E/A were independent risk factors for MACE. Combined prediction yielded an AUC of 0.883.
Conclusions:
- Echocardiographic parameters are linked to endothelial dysfunction in CHF.
- The combination of echocardiography and NO/ET-1 effectively predicts short-term MACE in CHF.
- These findings offer valuable insights for clinical risk stratification and treatment strategies.
Objective:
To investigate the relationship between quantitative parameters of echocardiography and vascular endothelial function in patients with chronic heart failure (CHF) and the predictive value of short-term major adverse cardiovascular events (MACE).
Methods:
From February 2018 to February 2020, 86 CHF patients in our hospital were selected as the observation group, and 46 healthy subjects were selected as the control group during the same period. Quantitative parameters of echocardiography (left ventricular ejection fraction (LVEF), left ventricular short-axis shortening rate (FS), and ratio of peak flow velocity between early and late mitral valve diastole (E/A)) and endothelial function indexes (endothelin-1 (ET-1)/nitric oxide (NO)) were compared between the two groups. The correlation between quantitative parameters of echocardiography and vascular endothelial function in patients with CHF was analyzed. A logistic regression equation was used to analyze the risk factors of MACE in patients with CHF. The receiver operating characteristic curve (ROC) was used to analyze the predictive value of quantitative parameters of echocardiography and NO/ET-1 for the risk of MACE in patients with CHF.
Result:
LVEF, FS, and NO/ET-1 in the observation group were lower than those in the control group, while E/A was higher than that in the control group (P < 0.05). In CHF patients, LVEF and FS were positively correlated with NO/ET-1, while E/A was negatively correlated with NO/ET-1 (P < 0.05). Logistic regression analysis showed that the decrease of LVEF, FS, NO/ET-1, and E/A were risk factors for MACE (P < 0.05) after adjusting for age, body mass index, and cardiac function grading. The AUC value of short-term MACE predicted by quantitative parameters of echocardiography and NO/ET-1 combined was 0.883, with a corresponding sensitivity of 86.21% and specificity of 73.13%.
Conclusion:
Quantitative parameters of echocardiography in CHF patients are related to vascular endothelial function, and their combination can effectively predict the risk of MACE in the near future, providing reference for clinical treatment.
