Analysis of risk factors and construction of predictive models for osteoporotic vertebral fractures in postmenopausal women
Objective:To analyze the risk factors of osteoporotic vertebral fractures in postmenopausal women and construct a nomogram prediction model.Methods:Data from 170 postmenopausal women with osteoporosis were retrospectively analyzed.The logistic multivariate regression model was used to screen the independent risk factors,and the nomogram model was constructed by R software.Results:Age,BMI,diabetes mellitus,long-term glucocorticoid use,and history of hysterectomy were independent risk factors for osteoporotic vertebral fracture in postmenopausal women.The decision curve showed that this predictive model could provide additional clinical net benefits when the risk threshold was greater than 0.09.Conclusion:The nomogram model constructed in this study has good predictive value and can provide new ideas for the clinical prevention and treatment of osteoporosis vertebral fracture in postmenopausal women.
postmenopausal womenosteoporosis vertebral fracturenomogram prediction model
万方数据
维普
