Related Experiment Video
Updated: May 10, 2025
Isolation of Mouse Interstitial Valve Cells to Study the Calcification of the Aortic Valve In Vitro
Published on: May 10, 2021
Correlation between visceral fat area and cardiac valve calcification in hemodialysis patients
Xiaoqi Wang1, Dan Yuan1, Feng Shao1
1Beijing Luhe Hospital, Capital Medical University, Beijing, China.
Insights
Increased visceral fat area (VFA) is a potential marker for cardiac valve calcification (CVC) in maintenance hemodialysis (MHD) patients. Combined with age, diabetes, and iPTH, VFA improves CVC prediction.
Area of Science:
- Nephrology
- Cardiology
- Metabolic Health
Background:
- Cardiac valve calcification (CVC) is a common complication in patients undergoing maintenance hemodialysis (MHD).
- Identifying reliable markers for CVC is crucial for risk stratification and management in MHD patients.
Purpose of the Study:
- To investigate the association between visceral fat area (VFA) and CVC in MHD patients.
- To determine if VFA can serve as a predictive marker for CVC in this population.
Main Methods:
- A cross-sectional study involving 154 MHD patients was conducted.
- Body composition analysis and echocardiography were used to assess VFA and CVC.
- Multivariate logistic regression and ROC curve analysis identified predictors of CVC.
Main Results:
- Patients with CVC had significantly higher VFA, age, and levels of Hs-CRP, fasting blood glucose, blood phosphorus, and iPTH compared to those without CVC.
- Advanced age, diabetes, increased VFA, and elevated iPTH were independent predictors of CVC.
- VFA alone showed good predictive ability (AUC = 0.713), which improved when combined with age, diabetes, and iPTH (AUC = 0.776).
Conclusions:
- Increased VFA is a potential marker for detecting CVC in MHD patients.
- VFA can aid in clinical decision-making for managing CVC risk in MHD patients.
Objective:
To investigate the relationship between Visceral Fat Area (VFA) and cardiac valve calcification (CVC) in Maintenance Hemodialysis (MHD) patients.
Methods:
This cross-sectional study included MHD patients enrolled at our hospital between July 2023 and February 2024. Body composition analysis was performed on recruited patients. According to echocardiography results, the participants were classified into 2 groups. We then compared their clinical characteristics and identified independent factors influencing CVC through multivariate logistic regression. The ROC curve was employed to assess the ability of influencing factors to predict CVC in MHD patients.
Results:
There are 154 MHD patients were recruited, including 76 with CVC and 78 without CVC. Significant differences were observed between CVC and non-CVC participants in age, the proportion of diabetic nephropathy, the proportion of diabetes mellitus, the levels of Hs-CRP, fasting blood glucose, blood phosphorus, iPTH, HDL-C and VFA (P < 0.05). Advanced age, diabetes, increased VFA and iPTH all have the ability to predict individuals with CVC in MHD patients based on Multivariate Logistic regression. ROC curve indicated that VFA could accurately identify individuals with CVC among MHD patients (AUC = 0.713). When age, diabetes, iPTH, and VFA were combined for predicting CVC, the AUC was 0.776 (P < 0.01), which was greater than any single indicator.
Conclusions:
For MHD patients, increased VFA may serve as a potential marker for detecting CVC and can assist in clinical decision-making.
