Influencing factors and construction of a nomogram prediction model for cardiac valve calcification in elderly patients with diabetic nephropathy undergoing maintenance hemodialysis
- VernacularTitle:老年糖尿病肾病维持性血液透析患者并发心脏瓣膜钙化的影响因素分析及列线图预测模型构建
- Author:
Ran LUO
1
;
Hua ZHANG
;
Haiyun SUN
Author Information
- Keywords: diabetic nephropathy; maintenance hemodialysis; cardiac valve calcification; least absolute shrinkage and selection operator regression analysis; Logistic regression analysis; no-mogram model; secondary hyperparathyroidism; calcium-phosphorus product
- From: Journal of Clinical Medicine in Practice 2025;29(11):118-123,134
- CountryChina
- Language:Chinese
- Abstract: Objective To analyze the influencing factors of cardiac valve calcification(CVC)in elderly patients with diabetic nephropathy undergoing maintenance hemodialysis and to construct and validate a nomogram prediction model.Methods A total of 280 elderly patients with diabetic ne-phropathy undergoing maintenance hemodialysis were selected as study subjects and divided into CVC group and non-CVC group based on the occurrence of CVC.Clinical data of the two groups were com-pared.The least absolute shrinkage and selection operator(LASSO)-Logistic regression analysis was used to screen the influencing factors of CVC occurrence in patients.A nomogram prediction model was constructed based on these factors and its predictive performance was validated.Results Among 280 patients,91 developed CVC,with an incidence rate of 32.50％.Patients in the CVC group had higher age,dialysis vintage,proportion of secondary hyperparathyroidism,proportion of valvular insufficiency,proportion of left ventricular hypertrophy,systolic blood pressure,calcium-phosphorus product,and serum levels of fibroblast growth factor 23(FGF23),soluble growth stimulation expressed gene 2protein(sST2),retinol-binding protein(RBP),and pentraxin 3(PTX3)compared to the non-CVC group.In contrast,low-density lipoprotein and Klotho levels were lower in the CVC group(P＜0.05).LASSO-Logistic regression analysis revealed that age,secondary hyperparathyroidism,calcium-phosphorus product,and serum levels of FGF23,Klotho,sST2,RBP,and PTX3 were in-dependent influencing factors for CVC occurrence in elderly patients with diabetic nephropathy undergoing maintenance hemodialysis(P＜0.05).A nomogram prediction model was constructed based on these independent influencing factors.The receiver operating characteristic(ROC)curve and calibration curve demonstrated that the model had good discrimination,accuracy,and predictive performance.Conclusion Age,secondary hyperparathyroidism,calcium-phosphorus product,and serum levels of FGF23,Klotho,sST2,RBP,and PTX3 are independent influencing factors for CVC occurrence in elderly patients with diabetic nephropathy undergoing maintenance hemodialysis.The nomogram prediction model constructed based on these factors exhibits high discrimination,accura-cy,and predictive performance.
