Objective:To investigate the risk factors for new adjacent vertebral fracture after percutaneous kyphoplasty (PKP) in patients with osteoporotic vertebral compression fracture (OVCF) and their predictive efficacy.Methods:A retrospective cohort study was conducted to analyze the clinical data of 476 OVCF patients admitted to The Affiliated Wuxi People′s Hospital of Nanjing Medical University from January 2018 to December 2024, including 74 males and 402 females, aged 49-91 years [71(65, 79)years]. Among them, 397 patients underwent single-level PKP, while 79 received multi-level PKP. Surgical segments involved T 6 in 9 patients, T 7 in 9, T 8 in 14, T 9 in 12, T 10 in 9, T 11 in 50, T 12 in 110, L 1 in 173, L 2 in 77, L 3 in 46, L 4 in 31, and L 5 in 13. The patients were divided into adjacent vertebral fracture group ( n=55) and non-adjacent vertebral fracture group ( n=421) according to whether adjacent vertebral fracture was observed during the follow-up. The following data were collected in both groups: gender, age, body mass index (BMI), bone mineral density T-value, underlying diseases (hypertension, diabetes, coronary heart disease), prior cerebral infarction, history of OVCF, long-term glucocorticoid use, thoracolumbar fracture, number of operated vertebrae, cement injection approach (unilateral or bilateral), mean cement dose, postoperative vertebral height restoration rate, postoperative Cobb angle correction, postoperative thoracolumbar kyphosis angle correction, and cement distribution score. Univariate and multivariate Logistic stepwise regression analysis were performed to assess and identify independent risk factors for adjacent vertebral fracture in OVCF patients after PKP. Receiver operating characteristic (ROC) curve and area under the curve (AUC) were used to evaluate the risk factors′ predictive performance for adjacent vertebral fracture in OVCF patients after PKP. Results:Univariate analysis revealed significant differences in age, bone mineral density T-value, history of OVCF, long-term glucocorticoid use, number of operated vertebrae, and cement distribution score between the two groups ( P<0.05). The multivariate Logistic stepwise regression analysis showed that the bone mineral density T-value ( OR=0.68, 95% CI 0.48, 0.95, P<0.05) and cement distribution score ( OR=0.61, 95% CI 0.49, 0.76, P<0.01) were significantly correlated with new adjacent vertebral fractures after PKP. The ROC curve analysis showed that bone cement distribution score showed better predictive performance (AUC=0.72, 95% CI 0.64, 0.79), compared with bone mineral density T-value (AUC=0.62, 95% CI 0.54, 0.70), while the combined predictive performance of the two factors was the best (AUC=0.75, 95% CI 0.68, 0.81). Conclusions:Bone mineral density T-value and cement distribution score are independent risk factors for new adjacent vertebral fracture in OVCF patients after PKP. The predictive performance of cement distribution score is proved to be good and can be better in combination with bone mineral density T-value.

Objective:To investigate the risk factors for new adjacent vertebral fracture after percutaneous kyphoplasty (PKP) in patients with osteoporotic vertebral compression fracture (OVCF) and their predictive efficacy.Methods:A retrospective cohort study was conducted to analyze the clinical data of 476 OVCF patients admitted to The Affiliated Wuxi People′s Hospital of Nanjing Medical University from January 2018 to December 2024, including 74 males and 402 females, aged 49-91 years [71(65, 79)years]. Among them, 397 patients underwent single-level PKP, while 79 received multi-level PKP. Surgical segments involved T 6 in 9 patients, T 7 in 9, T 8 in 14, T 9 in 12, T 10 in 9, T 11 in 50, T 12 in 110, L 1 in 173, L 2 in 77, L 3 in 46, L 4 in 31, and L 5 in 13. The patients were divided into adjacent vertebral fracture group ( n=55) and non-adjacent vertebral fracture group ( n=421) according to whether adjacent vertebral fracture was observed during the follow-up. The following data were collected in both groups: gender, age, body mass index (BMI), bone mineral density T-value, underlying diseases (hypertension, diabetes, coronary heart disease), prior cerebral infarction, history of OVCF, long-term glucocorticoid use, thoracolumbar fracture, number of operated vertebrae, cement injection approach (unilateral or bilateral), mean cement dose, postoperative vertebral height restoration rate, postoperative Cobb angle correction, postoperative thoracolumbar kyphosis angle correction, and cement distribution score. Univariate and multivariate Logistic stepwise regression analysis were performed to assess and identify independent risk factors for adjacent vertebral fracture in OVCF patients after PKP. Receiver operating characteristic (ROC) curve and area under the curve (AUC) were used to evaluate the risk factors′ predictive performance for adjacent vertebral fracture in OVCF patients after PKP. Results:Univariate analysis revealed significant differences in age, bone mineral density T-value, history of OVCF, long-term glucocorticoid use, number of operated vertebrae, and cement distribution score between the two groups ( P<0.05). The multivariate Logistic stepwise regression analysis showed that the bone mineral density T-value ( OR=0.68, 95% CI 0.48, 0.95, P<0.05) and cement distribution score ( OR=0.61, 95% CI 0.49, 0.76, P<0.01) were significantly correlated with new adjacent vertebral fractures after PKP. The ROC curve analysis showed that bone cement distribution score showed better predictive performance (AUC=0.72, 95% CI 0.64, 0.79), compared with bone mineral density T-value (AUC=0.62, 95% CI 0.54, 0.70), while the combined predictive performance of the two factors was the best (AUC=0.75, 95% CI 0.68, 0.81). Conclusions:Bone mineral density T-value and cement distribution score are independent risk factors for new adjacent vertebral fracture in OVCF patients after PKP. The predictive performance of cement distribution score is proved to be good and can be better in combination with bone mineral density T-value.