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Published on: May 2, 2025
Complement pathway: Risk molecular pattern of cardiovascular diseases in patients with diabetic nephropathy
JunFei Liu1, XiaoPing Qian1, TaoXia Wang1
1Affiliated Hospital of Hebei University of Engineering, Department of Nephrology, The Key Laboratory of Basic Research on Blood Purification Application in Hebei Province, Handan City, Hebei Province, China.
Insights
Elevated uric acid (UA) and C1q levels are independent risk factors for cardiovascular disease (CVD) in diabetic nephropathy (DN) patients. Higher levels of UA and C1q correlate with increased CVD risk, aiding in patient evaluation.
Area of Science:
- Nephrology
- Cardiology
- Diabetology
Background:
- Diabetic nephropathy (DN) is a common complication of diabetes mellitus, increasing cardiovascular disease (CVD) risk as renal dysfunction progresses.
- Effective management of DN and CVD requires identifying and addressing shared risk factors.
Purpose of the Study:
- To identify independent risk factors for cardiovascular disease (CVD) in patients with diabetic nephropathy (DN).
- To investigate the relationship between uric acid (UA), C1q, C-reactive protein (CRP), and CVD risk in DN patients.
- To evaluate the predictive efficacy of UA and C1q for CVD in DN.
Main Methods:
- A cross-sectional study involving 98 DN patients, divided into DN (n=58) and DN/CVD (n=40) groups.
- Univariate and multivariate Logistic regression analyses were used to identify independent risk factors for CVD.
- Regression modeling and ROC curve analysis assessed the relationship between UA, C1q, CRP, and CVD risk.
Main Results:
- Elevated uric acid (UA) and C1q were identified as independent risk factors for CVD in DN patients.
- A linear association was observed between UA/C1q levels and the risk of CVD.
- C1q demonstrated superior predictive performance for CVD compared to UA and CRP.
Conclusions:
- Increasing UA and C1q levels significantly elevate CVD risk in DN patients.
- UA and C1q are valuable indicators for assessing CVD development and progression in DN.
- These markers offer supportive evaluation value for the clinical condition of DN patients.
Background:
Among individuals with diabetes mellitus, diabetic nephropathy (DN) is a common microvascular complication. As renal dysfunction progresses in DN patients, the risk of cardiovascular disease (CVD) significantly increases. The current effective treatment of DN and CVD demands identifying and managing their risk factors.
Methods:
Patients diagnosed with DN from October 2022 to October 2023 were selected for cross-sectional study and divided into DN group (n=58) and DN/CVD group (n=40) based on the presence of CVD. Univariate analysis was conducted using clinical data, and statistically significant independent variables were analysed through multivariate Logistic regression to identify independent factors influencing CVD in DN patients. A regression model was developed to examine the non-linear relationship between C1q, UA, CRP, and the risk of CVD. The receiver operating characteristic curve was used to analyse the predictive efficacy of the indicators.
Results:
When elevated, UA and C1q were independent factors for CVD. A linear relationship existed between UA and C1q and the risk of CVD in DN patients. C1q showed better predictive performance.
Conclusions:
As UA and C1q levels rise, the risk of CVD in DN patients significantly increases. In DN patients, UA and C1q are associated with CVD development and progression, offering some supportive evaluation value for the patient's condition.
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