Chinese Journal of Blood Purification ›› 2025, Vol. 24 ›› Issue (06): 457-462.doi: 10.3969/j.issn.1671-4091.2025.06.004

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Risk factors for fracture occurrence in maintenance hemodialysis (MHD) patients

LIU Rong-li, LU Jin-hua, HUO Yuan-yuan   

  1. Center of Blood Purification, Xi'an Traditional Chinese Medicine Hospital, Xi'an 710021, China
  • Received:2024-09-26 Revised:2025-03-16 Online:2025-06-12 Published:2025-06-12
  • Contact: 10021 西安,1西安市中医医院血液净化中心 E-mail:k14kbj@163.com

Abstract: Objective  To investigate the influencing factors of fracture occurrence in maintenance hemodialysis (MHD) patients.  Methods  A prospective cohort of MHD patients admitted to Xi'an Hospital of Traditional Chinese Medicine from August 2020 to December 2022 was selected and randomly divided into a modeling group and a validation group in a 7:3 ratio. The modeling group was further categorized into fracture and non-fracture subgroups based on fracture occurrence. Multivariate logistic regression was used to analyze risk factors for fractures in MHD patients. A nomogram model for predicting fracture risk was constructed using R software. Receiver operating characteristic (ROC) curves were plotted to evaluate the discriminative ability of the nomogram, and calibration curves were generated to assess model consistency.  Results  A total of 358 patients were included, with 251 in the modeling group and 107 in the validation group. In the modeling group, 38 patients (15.14%) experienced fractures. The fracture group had higher proportions of patients aged ≥65 years, females, and those with intact parathyroid hormone (iPTH) ≥300 ng/L compared to the non-fracture group (χ²=13.014, 11.765, 10.158; P<0.001, 0.001, 0.001, respectively). The fracture group also showed lower rates of active vitamin D supplementation and lower skeletal muscle mass index (χ²/t = 13.553, 6.138; both P<0.001). The most common fracture type was vertebral compression fractures (31.58%), followed by hip fractures (23.68%). Multivariate logistic regression identified that the risk factors were age ≥65 years (OR=11.150, 95% CI: 3.790~32.086; P<0.001), female sex (OR=5.443, 95% CI: 1.977~14.985; P=0.001), and iPTH ≥300 ng/L (OR=31.784, 95% CI: 9.457~106.826; P<0.001); while higher skeletal muscle mass index (OR=0.421, 95% CI: 0.200~0.885; P=0.022) and active vitamin D supplementation (OR=0.055, 95% CI: 0.014~0.206; P<0.001) were protective factors. The area under the ROC curve (AUC) was 0.872 for the modeling group (Hosmer-Lemeshow test: χ²=7.124, P=0.704) and 0.924 for the validation group (Hosmer-Lemeshow test: χ²=6.353, P=0.687), indicating good discrimination and calibration.  Conclusion  Age, female sex, and elevated iPTH are independent risk factors for fractures in MHD patients, while higher skeletal muscle mass index and active vitamin D supplementation serve as protective factors. The constructed nomogram model demonstrated good predictive performance for fracture risk in this population.

Key words: Human body composition, Maintenance hemodialysis, Fracture, Influence factor

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