Background:
The main goal of this study was to examine how diabetes and cardiovascular calcification characteristics, and other risk factors affect mortality in end-stage renal disease patients undergoing early hemodialysis.
Methods:
285 nephropathic patients with hemodialysis early were enrolled in this research, including 101 patients with diabetes. Survival time was monitored, and general data, biochemical results, cardiac ultrasound calcification of valvular tissue, and thoracic CT calcification of coronary artery and thoracic aorta were recorded. Subgroup analysis and logistic regression were applied to investigate the association between diabetes and calcification. Cox regression analysis and Kaplan-Meier survival curve examined the relationship between calcification, diabetes, and all-cause mortality. Additionally, the nomogram model was utilized to estimate the probability of survival for these individuals, and its performance was evaluated using risk stratification, ROC curves, decision curves, and calibration curves.
Results:
CVC was found in 82 (81.2%) 101 diabetics and 62 (33.7%) of 184 non-diabetics. Diabetic patients had lower phosphorus levels, calcium, calcium-phosphorus products, plasma PTH, and lower albumin (P<0.001). People with diabetes are more likely to have calcification than non-diabetics (OR 5.66, 95% CI 1.96-16.36, P<0.001). The risk of death was higher for the combination of both diabetes and calcification (14/62, 22.58%). Diabetes and calcification count, combined with other factors, can jointly predict the risk of death in early HD patients. The nomogram model did an excellent job of explaining the difference between high-risk and low-risk people. It had the highest discriminatory power (AUC = 0.975), the best calibration agreement at low to intermediate risk levels, and the most net benefit across a wide range of clinical decision thresholds.
Conclusions:
Diabetes increases the risk of cardiovascular calcification, especially multi-site calcifications. And diabetes and cardiovascular calcification have a higher mortality rate. Meanwhile, risk scores and nomograms can assist clinicians in predicting a patient's risk of death and in providing individualized treatment to lower mortality rates.