Analysis of Factors Influencing Vascular Calcification in Chronic Kidney Disease Patients Based on Oxidative Stress...

In this study, we compared the oxidative stress responses of patients with chronic kidney disease (CKD) and those with CKD-associated vascular calcification (CKD-VC), and established a risk predictive model for CKD-VC based on this comparison, providing a new approach for the clinical prevention and treatment of CKD-VC.

We conducted several cross-sectional surveys involving 173 patients with chronic kidney disease (CKD) who were admitted between September 2023 and October 2024 admitted to Affiliated Hospital of Hebei University. Sixty-two patients had VC (CKD-VC group), while the 111 patients did not have VC (CKD group). The levels of superoxide dismutase (SOD), malondialdehyde (MDA), glutathione peroxidase (GSH-Px), and catalase (CAT) of the two groups were measured. Additionally, factors influencing CKD-VC were analyzed using Logistic regression, and a risk predictive model was established accordingly.

The levels of SOD and GSH-Px were lower in the CKD-VC group than the CKD group, whereas the CAT and MDA level was higher (P < .05). Logistic regression analysis indicated that SOD, GSH-Px, CAT, MDA, serum calcium, serum phosphorus, age, hypersensitive C-reactive protein (hs-CRP), albumin (ALB), and urine acid (UA) were all independent factors affecting CKD-VC (P < .05). The risk predictive model established based on these factors had high diagnostic sensitivity and specificity for CKD-VC, reaching 100.00% and 87.39%, respectively, with an area under the curve (AUC) of 0.980.

This study established a risk predictive model for CKD-VC based on oxidative stress response, which has high diagnostic efficacy. This model provides a new approach for the clinical prevention and treatment of CKD-VC in the future, helping to more accurately identify high-risk patients and take corresponding intervention measures to effectively ensure patient safety.